Statistik Erweiterung.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set_style(\"white\")\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>brand</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>amount_of_sellers</th>\n",
       "      <th>product_name_channel</th>\n",
       "      <th>seller</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16250</td>\n",
       "      <td>18208019021</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA011DB</td>\n",
       "      <td>Nikon AF 1,4/50 D Nikon FX  | 100 Wochen Zusat...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nikon 50mm f/1.4D AF Nikkor</td>\n",
       "      <td>ebay.co.uk</td>\n",
       "      <td>99.6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>215.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>https://www.idealo.co.uk/go/7142509559.html?ca...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   product_id     gtin_ean  brand manufacturer_nr  \\\n",
       "0       16250  18208019021  Nikon        JAA011DB   \n",
       "\n",
       "                                               title        date class  \\\n",
       "0  Nikon AF 1,4/50 D Nikon FX  | 100 Wochen Zusat...  2018-01-29     1   \n",
       "\n",
       "   amount_of_sellers         product_name_channel       seller  reviews  \\\n",
       "0                3.0  Nikon 50mm f/1.4D AF Nikkor  ebay.co.uk      99.6   \n",
       "\n",
       "   rating_stars delivery_time.1  price.1  price_with_shipping  \\\n",
       "0           5.0               1    215.0                215.0   \n",
       "\n",
       "   shipping_cost.1                                                url  \n",
       "0              0.0  https://www.idealo.co.uk/go/7142509559.html?ca...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= pd.read_excel('pivot_table_example.xlsx', sheet_name=\"aimondo_template_jack_500_freq_\", decimal='.',converters={'delivery_time.1':str})\n",
    "df= df.dropna(axis=1, how='all')\n",
    "#df= df.fillna(np.nan)\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2488 entries, 0 to 2487\n",
      "Data columns (total 17 columns):\n",
      "product_id              2488 non-null int64\n",
      "gtin_ean                2488 non-null int64\n",
      "brand                   2488 non-null object\n",
      "manufacturer_nr         2488 non-null object\n",
      "title                   2488 non-null object\n",
      "date                    2488 non-null object\n",
      "class                   2488 non-null object\n",
      "amount_of_sellers       2450 non-null float64\n",
      "product_name_channel    2450 non-null object\n",
      "seller                  2450 non-null object\n",
      "reviews                 2349 non-null float64\n",
      "rating_stars            2350 non-null float64\n",
      "delivery_time.1         2450 non-null object\n",
      "price.1                 2450 non-null float64\n",
      "price_with_shipping     2450 non-null float64\n",
      "shipping_cost.1         2450 non-null float64\n",
      "url                     2450 non-null object\n",
      "dtypes: float64(6), int64(2), object(9)\n",
      "memory usage: 330.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "product_id                0\n",
       "gtin_ean                  0\n",
       "brand                     0\n",
       "manufacturer_nr           0\n",
       "title                     0\n",
       "date                      0\n",
       "class                     0\n",
       "amount_of_sellers        38\n",
       "product_name_channel     38\n",
       "seller                   38\n",
       "reviews                 139\n",
       "rating_stars            138\n",
       "delivery_time.1          38\n",
       "price.1                  38\n",
       "price_with_shipping      38\n",
       "shipping_cost.1          38\n",
       "url                      38\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['delivery_time.1'].replace('~2', '2')\n",
    "df['delivery_time.1'].replace('Next day delivery', '1')\n",
    "#df['delivery_time.1'][697]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "deltime=[]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2450\n"
     ]
    }
   ],
   "source": [
    "df_del= df[['product_id','gtin_ean','brand','manufacturer_nr','title','date','class','delivery_time.1']]\n",
    "df_del= df_del.dropna(how= 'any')\n",
    "print(len(df_del))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=[]\n",
    "deltime=[]\n",
    "i=0\n",
    "for col, item in df_del['delivery_time.1'].iteritems():\n",
    "    i+=1\n",
    "    if str(item).isdigit():\n",
    "        deltime.append(item)\n",
    "    else:\n",
    "        #print(item)\n",
    "        #print(i)\n",
    "        #print(type(item))\n",
    "        li= re.findall(r'\\b\\d+\\b', item)\n",
    "        if(len(li)!= 0):\n",
    "            deltime.append((max(re.findall(r'\\b\\d+\\b', item))))\n",
    "        else:\n",
    "            deltime.append(np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_del.drop(['del_time'], axis=1,inplace=True)\n",
    "df_del.insert(loc=0,column='del_time', value=pd.to_numeric(deltime))\n",
    "df_del.del_time.fillna(pd.to_numeric(df_del.del_time).mean(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.026112185686654"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_numeric(df_del.del_time).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "brand\n",
       "Canon        1 - 5 working days\n",
       "Crumpler       3-4 working days\n",
       "Cullmann                      2\n",
       "DJI          1 - 5 working days\n",
       "Datacolor                   1.5\n",
       "Gitzo                       1.5\n",
       "GoPro                         2\n",
       "Leica                       1.5\n",
       "Manfrotto    1 - 3 working days\n",
       "Nikon                         0\n",
       "Nissin            1 working day\n",
       "Nokia        1 - 5 working days\n",
       "Olympus                     1.5\n",
       "Name: delivery_time.1, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_del_brand_mean= df_del.groupby(['brand']).mean()\n",
    "df_del_brand_min= df_del.groupby(['brand']).min()\n",
    "df_del_brand_min['delivery_time.1']=df_del_brand_min['delivery_time.1'].replace('Next day delivery',2)\n",
    "df_del_brand_min['delivery_time.1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the isdigt() and extract() BID of Pandas are soooooo stupid!!!!!!!\n",
    "def isDigit(x):\n",
    "    try:\n",
    "        float(x)\n",
    "        return True\n",
    "    except ValueError:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.0\n",
      "3.5\n",
      "3.0\n",
      "2.0\n",
      "1.0\n",
      "3.0\n"
     ]
    }
   ],
   "source": [
    "deli=[]\n",
    "for col, item in df_del_brand_min['delivery_time.1'].iteritems():\n",
    "    if isDigit(str(item)):\n",
    "        deli.append(item)\n",
    "    else:\n",
    "        li= re.findall(r'\\b\\d+\\b', item)\n",
    "        li= [float(i) for i in li]\n",
    "        if(len(li)!= 0):\n",
    "            print(sum(li)/len(li))\n",
    "            deli.append(sum(li)/len(li))\n",
    "        else:\n",
    "            deli.append(np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>deli</th>\n",
       "      <th>del_time</th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>delivery_time.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Canon</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10538</td>\n",
       "      <td>4549292009873</td>\n",
       "      <td>Canon EF 1,2/50 L USM Canon EF</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1 - 5 working days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crumpler</th>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>67534</td>\n",
       "      <td>4036957108243</td>\n",
       "      <td>Crumpler Proper Roady 4500 dunkelrot</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>3-4 working days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cullmann</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>74678</td>\n",
       "      <td>4007134015869</td>\n",
       "      <td>Cullmann CUlight FR 60 Canon</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJI</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10807</td>\n",
       "      <td>4251088420143</td>\n",
       "      <td>DJI Inspire 1 Pro &amp; Focus Fernsteuerung</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1 - 5 working days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Datacolor</th>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>71642</td>\n",
       "      <td>875720001404</td>\n",
       "      <td>Datacolor Spyder 5 Elite</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gitzo</th>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>63580</td>\n",
       "      <td>8024221620986</td>\n",
       "      <td>Gitzo STATIV Mountaineer  4 Seg. Serie 3</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GoPro</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10199</td>\n",
       "      <td>818279017809</td>\n",
       "      <td>GoPro HERO5 Black</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leica</th>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>62317</td>\n",
       "      <td>4022243103702</td>\n",
       "      <td>Leica 1,4/35 Summilux-M Asph. Leica M silber</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manfrotto</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>38760</td>\n",
       "      <td>8024221299311</td>\n",
       "      <td>Manfrotto 504HD Pro Fluid Videokopf</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1 - 3 working days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nikon</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16127</td>\n",
       "      <td>18208019021</td>\n",
       "      <td>Nikon 1 J5,AF 10-30 PD Zoom schwarz</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nissin</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>60945</td>\n",
       "      <td>4013904001536</td>\n",
       "      <td>Nissin Di700A KIT inkl. Commander Air 1 Fujifilm</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1 working day</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nokia</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>61566</td>\n",
       "      <td>6438158741249</td>\n",
       "      <td>Nokia 150 schwarz</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1 - 5 working days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Olympus</th>\n",
       "      <td>1.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>45538</td>\n",
       "      <td>4545350036485</td>\n",
       "      <td>Olympus M-Zuiko AF 4,0/300 IS ED Pro Micro Fou...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           deli  del_time  product_id       gtin_ean  \\\n",
       "brand                                                  \n",
       "Canon       3.0       1.0       10538  4549292009873   \n",
       "Crumpler    3.5       1.0       67534  4036957108243   \n",
       "Cullmann    2.0       1.0       74678  4007134015869   \n",
       "DJI         3.0       1.0       10807  4251088420143   \n",
       "Datacolor   1.5       1.0       71642   875720001404   \n",
       "Gitzo       1.5       1.0       63580  8024221620986   \n",
       "GoPro       2.0       2.0       10199   818279017809   \n",
       "Leica       1.5       1.0       62317  4022243103702   \n",
       "Manfrotto   2.0       1.0       38760  8024221299311   \n",
       "Nikon       0.0       0.0       16127    18208019021   \n",
       "Nissin      1.0       1.0       60945  4013904001536   \n",
       "Nokia       3.0       1.0       61566  6438158741249   \n",
       "Olympus     1.5       2.0       45538  4545350036485   \n",
       "\n",
       "                                                       title        date  \\\n",
       "brand                                                                      \n",
       "Canon                         Canon EF 1,2/50 L USM Canon EF  2018-01-29   \n",
       "Crumpler                Crumpler Proper Roady 4500 dunkelrot  2018-01-29   \n",
       "Cullmann                        Cullmann CUlight FR 60 Canon  2018-01-29   \n",
       "DJI                  DJI Inspire 1 Pro & Focus Fernsteuerung  2018-01-29   \n",
       "Datacolor                           Datacolor Spyder 5 Elite  2018-01-29   \n",
       "Gitzo               Gitzo STATIV Mountaineer  4 Seg. Serie 3  2018-01-29   \n",
       "GoPro                                      GoPro HERO5 Black  2018-01-29   \n",
       "Leica           Leica 1,4/35 Summilux-M Asph. Leica M silber  2018-01-29   \n",
       "Manfrotto                Manfrotto 504HD Pro Fluid Videokopf  2018-01-29   \n",
       "Nikon                    Nikon 1 J5,AF 10-30 PD Zoom schwarz  2018-01-29   \n",
       "Nissin      Nissin Di700A KIT inkl. Commander Air 1 Fujifilm  2018-01-29   \n",
       "Nokia                                      Nokia 150 schwarz  2018-01-29   \n",
       "Olympus    Olympus M-Zuiko AF 4,0/300 IS ED Pro Micro Fou...  2018-01-29   \n",
       "\n",
       "              delivery_time.1  \n",
       "brand                          \n",
       "Canon      1 - 5 working days  \n",
       "Crumpler     3-4 working days  \n",
       "Cullmann                    2  \n",
       "DJI        1 - 5 working days  \n",
       "Datacolor                 1.5  \n",
       "Gitzo                     1.5  \n",
       "GoPro                       2  \n",
       "Leica                     1.5  \n",
       "Manfrotto  1 - 3 working days  \n",
       "Nikon                       0  \n",
       "Nissin          1 working day  \n",
       "Nokia      1 - 5 working days  \n",
       "Olympus                   1.5  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_del_brand_min.insert(loc=0,column='deli', value=pd.to_numeric(deli))\n",
    "df_del_brand_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_brand_count= df.groupby(['brand']).count()\n",
    "df_brand_avg= df.groupby(['brand']).mean()\n",
    "df_brand_min= df.groupby(['brand']).min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Canon', 'Crumpler', 'Cullmann', 'DJI', 'Datacolor', 'Gitzo', 'GoPro',\n",
       "       'Leica', 'Manfrotto', 'Nikon', 'Nissin', 'Nokia', 'Olympus'],\n",
       "      dtype='object', name='brand')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_brand_count.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Brand\n",
    "### Max & Min & Avg Anzahl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max: Canon 900\n",
      "Min: Datacolor 23\n",
      "Average: 188.46153846153845\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:3: FutureWarning: 'argmin' is deprecated. Use 'idxmin' instead. The behavior of 'argmin' will be corrected to return the positional minimum in the future. Use 'series.values.argmin' to get the position of the minimum now.\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "max_name= df_brand_count.seller.argmax()\n",
    "max_= df_brand_count.seller.max()\n",
    "min_name= df_brand_count.seller.argmin()\n",
    "min_= df_brand_count.seller.min()\n",
    "print(\"Max: \"+ str(max_name)+ \" \" + str(max_) +'\\n' +\"Min: \"+ str(min_name) + \" \"+ str(min_) )\n",
    "avg_= sum(df_brand_count.seller.values)/len(df_brand_count.seller.values)\n",
    "print(\"Average: \"+ str(avg_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10cf3fb70>"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9b795dU//P4/i3WUOTCrr5fG9PitPw7/73w6DX4jH97qcIDrxeNH/8EzcWa/u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\nAACGCCcAAABDhBMAAIChvwAvNL9nn147QwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10aaf3940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_brand_count.seller.plot(kind='pie', figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AYBAFCgAAwCAKFAAAgEHMgQIKwAevryvwcw5c+ESBnxMAUDAYgQIAADCIAgUA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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a51ab00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax= df_brand_count.seller.plot(kind='bar', figsize=(10,6))\n",
    "for p in ax.patches:\n",
    "    ax.annotate(str(int(p.get_height())), (p.get_x() + p.get_width() / 2., p.get_height()), ha='center', va='center', xytext=(0, 10), textcoords='offset points')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "hist1= df_brand_count.seller\n",
    "hist2= df_brand_avg.price_with_shipping\n",
    "hist3= df_brand_avg['price.1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1668"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_change= df[df['delivery_time.1'].astype(str).str.isdigit()==False]\n",
    "df_change.head(10)\n",
    "len(df_change)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: currently extract(expand=None) means expand=False (return Index/Series/DataFrame) but in a future version of pandas this will be changed to expand=True (return DataFrame)\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "420"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_change['delivery_time.1'].str.extract('(\\d+)').isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10a9e4a90>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vLy/7dg8PD2VmZsrb27vUCgcAADC76x51+I9//EOxsbGKiYlRvXr1JElBQUHauXOnsrKy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\nAAAADELQAgAAMAhBCwAAwCD/B0KxxBnwdY+kAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a9e4940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Hier kann man das Deteils des Graphs anpassen\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "hist1.plot(kind='bar',ax=ax, color='grey', position=0, width=0.25, figsize=(10,6),legend=True)\n",
    "hist2.plot(kind='bar', color='green', position=1, width=0.25,legend=True)\n",
    "hist3.plot(kind='bar',  color='y', position=2, width=0.25,legend=True)\n",
    "#ax2 = ax.twinx()\n",
    "#ax2.plot(df_brand_count.index, , 'r.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "d= {'Anzahl_von_Produkt_id': hist1, 'Mittelwert_von_price_with_shipping':hist2, 'Mittelwert_von_price_1':hist3}\n",
    "brand_data= pd.DataFrame(data= d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a89d470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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//hFvvvnmWY8tKCjA5MmTkZ2djQkTJiA/Pz+AmRIRhQYW9/9jNH6IoqLxEEWbJJ6UNBNd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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a63f080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.style.context('fivethirtyeight'):\n",
    "    f = plt.figure()\n",
    "    ax= brand_data.plot(kind=\"bar\", figsize= (10,6))\n",
    "    plt.legend(loc='center left', bbox_to_anchor=(1.1, 0.5))\n",
    "    #min_deli_time.plot(ax = ax.twinx(), color= 'green')\n",
    "    ax2= ax.twinx()\n",
    "    ax.grid(None)\n",
    "    df_del_brand_min['deli'].plot(kind= 'line',ax = ax2, color='y', style='--',legend=True)\n",
    "    plt.legend(['Min Delivery Time'],loc='center left', bbox_to_anchor=(1.1, 0.38))\n",
    "    #ax2.set_yticks(np.linspace(ax2.get_yticks()[0], ax2.get_yticks()[-1], len(ax.get_yticks())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kaufpreis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      13.000000\n",
       "mean      509.374880\n",
       "std       415.021060\n",
       "min        95.068400\n",
       "25%       192.978933\n",
       "50%       296.339762\n",
       "75%       810.398044\n",
       "max      1416.497941\n",
       "Name: price.1, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_brand_avg['price.1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count      13.000000\n",
       "mean      509.374880\n",
       "std       415.021060\n",
       "min        95.068400\n",
       "25%       192.978933\n",
       "50%       296.339762\n",
       "75%       810.398044\n",
       "max      1416.497941\n",
       "Name: price.1, dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_brand_avg['price.1'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HDigwMNC53z333KONGzcqLCxMbm5uGjFihCpXrmxi5SitCFYAAJfl7e2t1157rcD21atX\nF9g2ZsyYkigJ/3CcCgQAADAIwQoAAMAgBCsAAACDEKwAAAAMQrACAAAwCMEKAADAIC673EJhHc3r\n1asnSZoyZYrq1KmjiIgISVJSUpKWLVsmd3d3DR48WB06dDCzdADA31Bj3XbDj3m8wx2GHxP/TC47\nYnV1R/MhQ4Zo5syZOnPmjB5//HGtXbvWud/JkyeVmJioZcuWacGCBYqPj1d2draJlQMAgNLKZYNV\nYR3NMzMzFR0drR49ejj327lzp+688055eHjI19dXQUFB2r17t4mVAwCA0splTwUW1tE8MDBQgYGB\nSklJce6XkZHh7CMlXVmlNyMjw4ySAQBAKeeyI1ZFdTS/lo+PjzIzM523MzMz8wUtAAAAo7hssCqq\no/m1goODtW3bNmVlZSk9PV379u1TgwYNSrpcAADwD+CypwKL6mh+rWrVqikqKkqRkZFyOBwaPny4\nypUrZ0LFAACgtHPZYFVUR3NJio6Oznc7LCxMYWFhJVEWAAD4B3PZU4EAAABWQ7ACAAAwCMEKAADA\nIAQrAAAAgxCsAAAADHJDVwUW1gDZ3d1do0aNks1mU/369TV+/Hi5ublp1qxZWr9+vdzd3RUbG6vg\n4GCjHwMAAIAl3FCwuroB8ldffaWZM2cqJydHw4YNU6tWrRQXF6fk5GT5+/tr69atWrFihY4dO6bo\n6Gi9++67f6vg2qNW/62fL8zBl7sYfkwAAPDPc0OnAgtrgJyamqqWLVtKktq3b69NmzZp27Ztatu2\nrWw2m/z9/ZWbm6szZ84Y+gAAAACs4oZGrAprgPzNN9/IZrNJurJ4Z3p6ujIyMlSxYkXnz+Vtr1y5\nsjHVAwAAWMgNBau8BsgjR47UsWPH1K9fP+Xk5Di/n5mZqQoVKtAAGQAA/KPc0KnAwhogN27cWFu2\nbJEkpaSkqHnz5goJCdHGjRtlt9t19OhR2e12RqsAAECpdUMjVoU1QG7atKnGjRun+Ph41a1bV6Gh\noSpTpoyaN2+u8PBw2e12xcXFGV0/AACAZdxQsCqqAfKiRYsKbIuOji7QFBkAAKA0YoFQAAAAgxCs\nAAAADEKwAgAAMAjBCgAAwCAEKwAAAIMQrAAAAAxCsAIAADAIwQoAAMAgBCsAAACDEKwAAAAMQrAC\nAAAwCMEKAADAIAQrAAAAgxCsAAAADEKwAgAAMAjBCgAAwCAEKwAAAIMQrAAAAAxCsAIAADAIwQoA\nAMAgBCsAAACDEKwAAAAMQrACAAAwCMEKAADAIAQrAAAAgxCsAAAADEKwAgAAMIi72QUAsJ6ePXvK\nx8dHkhQQEKAuXbpo2rRp8vLyUrt27fTMM884992xY4emTZumxMREs8oFAMsgWAHIJysrSw6HwxmU\n7Ha7OnbsqMTERAUGBuq5557Tt99+q+bNm2vevHn68MMP5eXlZXLVAGANnAoEkM/u3bt18eJFDRw4\nUH379tW2bdtUoUIFBQYGSpJCQkL03XffSZKCgoKUkJBgZrkAYCmMWAHIx9PTU4MGDVLv3r118OBB\nPfHEE7Lb7dq3b59q166tlJQUNWzYUJIUGhqqw4cPm1wxAFgHwQpAPnXq1FGtWrVks9lUp04dVaxY\nUaNGjdKECRPk4eGhBg0aqFKlSmaXCQCWxKlAAPmsXLlSL7/8siTpxIkTysjI0Ndff60FCxZo/vz5\n+vXXX3XXXXeZXCUAWBMjVgDyeeSRRzR69GhFRETIZrNpypQp2rt3r3r37i1PT09169ZN9evXN7tM\nALAkghWAfDw8PDR9+vR820JCQhQWFlbo/gEBAUpKSiqJ0gDA8jgVCAAAYJAbHrF68803tXbtWuXk\n5CgiIkItW7bUqFGjZLPZVL9+fY0fP15ubm6aNWuW1q9fL3d3d8XGxio4ONjI+gEAACzjhkastmzZ\nou+//15Lly5VYmKijh8/rqlTp2rYsGFasmSJHA6HkpOTlZqaqq1bt2rFihWKj4/XxIkTja4fAAD8\nw/Xs2VNRUVGKiorS6NGjndvnzJmj4cOH59v34sWL6tGjh1JSUoqllhsasdq4caMaNGigIUOGKCMj\nQy+88IKSkpLUsmVLSVL79u311VdfqU6dOmrbtq1sNpv8/f2Vm5urM2fOqHLlyoY+CAAA8M90bbeI\nPBs2bND69etVs2bNfNtffPFF2Wy2YqvnhoLV2bNndfToUc2ZM0eHDx/W4MGD5XA4nIV6e3srPT1d\nGRkZqlixovPn8rYTrAAAgBGu7hZx+fJljRgxQpUqVdLy5cv17LPPasWKFc59FyxYoDvvvFMOh6PY\n6rmhYFWxYkXVrVtXHh4eqlu3rsqVK6fjx487v5+ZmakKFSrIx8dHmZmZ+bb7+vr+/aoBAABUeLeI\nm2++WdOnT9e+ffuc+23evFmHDh3Siy++6GzLVRxuKFg1a9ZMCxcu1IABA5SWlqaLFy+qTZs22rJl\ni1q1aqWUlBS1bt1aQUFBevXVVzVo0CAdP35cdrud0SrAgqaHdy2W445c/nGxHBcA8lzbLaJMmTI6\ncuSIhg8frvPnzystLU1z587Vzz//rCNHjigqKkr79+9XamqqqlWrpkaNGhlazw0Fqw4dOuibb77R\nI488IofDobi4OAUEBGjcuHGKj49X3bp1FRoaqjJlyqh58+YKDw+X3W5XXFycocUDAIB/tpUrV2rP\nnj2aMGGCTpw4IZvNpk8//VTu7u7asmWLli1bpieffDLfz4waNUoPPfSQ4aFK+hvLLbzwwgsFti1a\ntKjAtujoaEVHR9/o3QAAABSpsG4R7u7mrX/OyusAAMBlFdYtIk+rVq3UqlWrAtvz+qEWB1ZeBwAA\nMAjBCgAAwCAEKwAAAIMQrAAAAAxCsAIAADAIwQoAAMAgBCsAAACDsI4VAABwLRNuKoZj/m7IYRix\nAgAAMAjBCgAAwCAEKwAAAIMQrAAAAAxCsAIAADAIwQoAAMAgBCsAAACDEKwAAAAMQrACAAAwCMEK\nAADAIAQrAAAAgxCsAAAADEKwAgAAMAjBCgAAwCAEKwAAAIMQrAAAAAxCsAIAADAIwQoAAMAgBCsA\nAACDEKwAAAAMQrACAAAwCMEKAADAIAQrAAAAgxCsAAAADEKwAgAAMAjBCgAAwCAEKwAAAIP8rWB1\n+vRp3XPPPdq3b58OHTqkiIgIRUZGavz48bLb7ZKkWbNm6ZFHHlGfPn20c+dOQ4oGAACwohsOVjk5\nOYqLi5Onp6ckaerUqRo2bJiWLFkih8Oh5ORkpaamauvWrVqxYoXi4+M1ceJEwwoHAACwmhsOVq+8\n8or69OkjPz8/SVJqaqpatmwpSWrfvr02bdqkbdu2qW3btrLZbPL391dubq7OnDljTOUAAAAWc0PB\natWqVapcubLatWvn3OZwOGSz2SRJ3t7eSk9PV0ZGhnx8fJz75G0HAAAojdxv5Ifeffdd2Ww2bd68\nWbt27VJMTEy+kajMzExVqFBBPj4+yszMzLfd19f371cNAABgQTc0YrV48WItWrRIiYmJatSokV55\n5RW1b99eW7ZskSSlpKSoefPmCgkJ0caNG2W323X06FHZ7XZVrlzZ0AcAAABgFTc0YlWYmJgYjRs3\nTvHx8apbt65CQ0NVpkwZNW/eXOHh4bLb7YqLizPq7gAAACznbwerxMRE59eLFi0q8P3o6GhFR0f/\n3bsBAACwPBYIBQAAMAjBCgAAwCAEKwAAAIMQrAAAAAxi2FWBAIDSIScnR7GxsTpy5Iiys7M1ePBg\n1ahRQ+PHj5eHh4caNWqkMWPGyM3NTatWrdLSpUuVm5ur++67T0OGDDG7fMBUBCsAQD4ffvihKlas\nqFdffVXnzp3Tww8/rMqVK2vs2LEKCQnRjBkz9NFHH+nOO+/U0qVLlZiYKA8PD/33v/9VTk6OypYt\na/ZDAExDsALgsgobWfH399f48eNVpkwZ1a5dW5MnT5ab25VZD3a7XU8++aTuu+8+RUREmFy9dXXu\n3FmhoaGSrrQrK1OmjE6cOKGQkBBJUkhIiJKTk3Xx4kU1bdpUMTExOnnypJ5++mlCFf7xCFYAXFZh\nIytNmjTRkCFDdM8992jkyJFav369OnbsKEmaOXOmzp8/b3LV1uft7S1JysjI0LPPPqthw4Zp8eLF\n2rp1q1q2bKl169bp4sWLOnv2rL799lstXbpUWVlZioyM1B133KEKFSqY/AgA8xCsALiswkZWGjVq\npHPnzsnhcCgzM1Pu7lde5j799FPZbLZ8zeNRtGPHjmnIkCGKjIxUt27d1KRJE02ePFmvv/66mjdv\nLg8PD1WsWFEtW7aUj4+PfHx8VLduXR08eFDBwcFmlw+YhqsCAbgsb29v+fj45BtZyTv99+CDD+r0\n6dNq1aqV9uzZo48//lhDhw41u2SXcOrUKQ0cOFDPP/+8HnnkEUnShg0bNG3aNL3zzjs6d+6c7r77\nboWEhGjr1q3KysrShQsXtG/fPgUFBZlcPWAuRqwAuLRrR1batGmjxYsXq379+lq8eLFefvlleXl5\n6cSJE+rXr5+OHDmismXL6uabb1b79u3NLt+S5syZo/Pnz2v27NmaPXu2JGnAgAHq37+/vLy81KpV\nK91zzz2SpF69eikiIkIOh0PPPPOMKlasaGbpgOkIVgBcVt7ISlxcnNq0aSNJuummm+Tj4yNJ8vPz\n03fffafx48c7fyYhIUFVq1YlVP2BsWPHauzYsQW2581Vu1r//v3Vv3//EqgKcA0EKwAuq7CRlZde\neknDhw+Xu7u7ypYtq0mTJplcJYB/EoIVAJdV1MjKsmXLivyZ6Ojo4iwJwD8ck9cBAAAMQrACAAAw\nCMEKAADAIAQrAAAAgzB5HQCg5LX1iuW493XcVyzHBayKESsAAACDEKwAAAAMwqlAAC7l8Kgvi+W4\nAS/TnBnA38eIFQAAgEEYsQJKQE5OjmJjY3XkyBFlZ2dr8ODBuuWWWzRq1CjZbDbVr19f48ePl5ub\nm6ZOnapt27bJzc1NMTExatasmdnlAwCuE8EKKAEffvihKlasqFdffVXnzp3Tww8/rIYNG2rYsGFq\n1aqV4uLilJycrMDAQH3//fdasWKFDh06pBEjRmjVqlVmlw8AuE6cCgRKQOfOnTV06FBJksPhUJky\nZZSamqqWLVtKktq3b69NmzbJz89Pnp6eys7OVkZGhtzd+ewDAK6EYAWUAG9vb/n4+CgjI0PPPvus\nhg0bJofDIZvN5vx+enq63N3d5ebmpgcffFADBgzQwIEDTa4cAPBXEKyAEnLs2DH17dtXPXr0ULdu\n3eTm9r//fpmZmapQoYLef/99Va1aVZ9//rmSk5M1a9YsHT9+3MSqARhpx44dioqKkiSlpqbqkUce\nUWRkpCZNmiS73S5JeuWVVxQeHq5evXopKSnJzHJxAzjPAJSAU6dOaeDAgYqLi1ObNm0kSY0bN9aW\nLVvUqlUrpaSkqHXr1srOzlb58uVVpkwZeXt7y8PDQxcuXDC5egBGmDdvnj788EN5eXlJksaNG6ex\nY8cqJCREM2bM0EcffaTq1avr119/1fLly5Wdna0uXbooNDRUN910k8nV43oxYgWUgDlz5uj8+fOa\nPXu2oqKiFBUVpWHDhikhIUHh4eHKyclRaGiounXrJknq06eP+vTpo27duqlu3bomVw/ACEFBQUpI\nSHDePnHihEJCQiRJISEh2rZtm+68805NmTLFuU9ubi5zLV0Mvy2gBIwdO1Zjx44tsH3RokUFtr34\n4oslURKAEhYaGqrDhw87bwcGBmrr1q1q2bKl1q1bp4sXL6pcuXIqV66ccnJyNGrUKIWHh8vb29vE\nqvFXMWIFAIAJpkyZojfffFP9+vVTlSpVVKlSJUnS77//rscff1z16tXTU089ZXKV+KsIVgAAmGDD\nhg2aNm2a3nnnHZ07d0533323Ll26pP79+6tXr14aMmSI2SXiBnAqEAAAE9SqVUv9+/eXl5eXWrVq\npXvuuUdvv/22fvvtN61YsUIrVqyQdGVkKzAw0ORqcb0IVgAAlJCAgADnEgodO3ZUx44d832/f//+\n6t+/vwmVwSgEKxRqx44dmjZtmhITE/XTTz/pqaeeUu3atSVJEREReuihhzR48GCdPXtWZcuWVbly\n5TR//nxziwYAwGQ3FKz+SkPZWbNmaf369XJ3d1dsbKyCg4ONfgww2LVrraSmpha6CvihQ4e0evVq\n5+rhAAD8091QsLrehrL+/v6Jx4v2AAAgAElEQVTaunWrVqxYoWPHjik6Olrvvvuu0Y8BBstba+WF\nF16QJP344486cOCAkpOTVatWLcXGxurSpUs6f/68nn76aZ0/f15PPvmkOnToYHLlAACY64aCVefO\nnRUaGiqp6IayX331lerUqaO2bdvKZrPJ399fubm5OnPmjCpXrmzcI4Dhrl1rJTg4WL1791bTpk31\nxhtv6PXXX1ffvn01cOBA9e3bV7///rsiIiIUHBysKlWqmFi5tbz+9NpiOe6QOR3/fCcAgCluaLmF\n620om5GRIR8fn3w/l56ebkzlKDH333+/mjZt6vz6p59+UtWqVdWnTx+5u7urSpUqatSokQ4cOGBy\npQAAmOuG17G6noayPj4+yszMzLfd19f371WMEjdo0CDt3LlTkrR582Y1adJEmzZt0tChQyVd+b3+\n8ssvtF4BAPzj3dCpwOttKBsUFKRXX31VgwYN0vHjx2W32zkN6IImTJigSZMmqWzZsqpataomTZok\nHx8fbdy4UWFhYXJzc9OIESP43QLANWqPWm34MQ++3MXwY8I4NxSsrm4oO3v2bEnSmDFj9NJLLyk+\nPl5169ZVaGioypQpo+bNmys8PFx2u11xcXGGFo/ic/VaK02aNNGyZcsK7DNmzJiSLgsAAEu7oWD1\nVxrKRkdHKzo6+kbuBgAAmOTq9QzzTJkyRXXq1FFERIR27dqlKVOmOL+3fft2vf7662rfvr0Z5VoG\nC4QCAIB8rl3P8MyZM3rhhRd08OBBDRo0SJLUqFEjZ+j65JNP5Ofn948PVRJNmAEAwDXy1jPMk5mZ\nqejoaPXo0aPAvhcuXFBCQgLTQ/4/ghUAAMgnNDRU7u7/O6kVGBio22+/vdB9V65cqc6dO3MB0/9H\nsAIAADfso48+Uu/evc0uwzKYY1XCsrOzNXr0aP3222/y8fFRXFycfvnlF73yyiuqWbOmpCsT/vNW\nsQcAwKrS09OVnZ3tfP8CwarEJSUlqXz58kpKStL+/fs1adIkNW3aVM8//7yzTZAZbnvnNsOP+UO/\nHww/JgDAOg4cOKCbb77Z7DIshWBVwvbu3eu8aqJu3brat2+fbDabdu3apXfeeUfBwcF67rnn8p3b\nBgCgpF29nmGea5dPCg4Odq5niSuYY1XCGjVqpHXr1snhcGj79u06ceKE7rrrLo0bN06LFy/WhQsX\nCl2MEwAAWB/BqoT16tVLPj4+ioyM1Oeff64mTZrokUceUWBgoGw2m+677z799NNPZpcJAABuAMGq\nhP3www9q06aNli5dqs6dOysgIEDdu3fX8ePHJf2vyTEAAHA9TOQpYbVq1dJrr72mOXPmyNfXV5Mn\nT9Yvv/yif//73/L09FS9evUUFhZmdpkAAOAGEKxKWOXKlfX222/n21a9enW1bdvWnIIAAIBhOBUI\nAABgEEasAACAao9abfgxD77cxfBjWh0jVgAAAAYhWAEAABiEYAUAAGAQghUAAIBBmLxenCbcVAzH\n/N34YwIAAEMwYgUAAGAQghUAAIBBCFYAAAAGIVgBAAAYhGAFAABgEIIVAACAQQhWAAAABiFYAQAA\nGIRgBQAAYBCCFQAAgEEIVgAAAAYhWAEAABiEYAUAAGAQghUAAIBBCFYAAAAGIVgBAAAYhGAFAABg\nEPfivgO73a4JEybo559/loeHh1566SXVqlWruO8WAACgxBX7iNUXX3yh7OxsLV++XCNHjtTLL79c\n3HcJAABgimIfsdq2bZvatWsnSbrjjjv0448/5vt+bm6uJOn48ePXd8DMM4bWJ0mHDx82/JiSpIwy\nxh+zmGp1nHMYfszieF5POIyvU5J8i6HW8xdPG35MqXie1/SsHMOPKRVPrcczTxl+TEnF8n8rIyPD\n8GNKxfO8ni6eP9diqdV2Ks3wYxbb+4ArvWe5Uq0mvr/m5ZW8/HItm8NRTO9U/9+YMWP0wAMP6J57\n7pEk3Xvvvfriiy/k7n4l03377bd69NFHi7MEAAAAQy1evFjNmzcvsL3YR6x8fHyUmZnpvG23252h\nSpKaNm2qxYsXq1q1aipTphgSKAAAgEFyc3N18uRJNW3atNDvF3uwCgkJ0bp16/TQQw9p+/btatCg\nQb7ve3p6Fpr4AAAArOiPLsIr9lOBeVcF7tmzRw6HQ1OmTFG9evWK8y4BAABMUezBCgAA4J+CBUJN\nkp6ebnYJMJkr/g2cOXNGdrvd7DIA4LocO3asxO+zVI1Yvf/++3rzzTeVnZ0th8Mhm82m5ORks8sq\nVEREhJYuXWp2Gdflq6++0ltvvaXs7GzntoULF5pYUUHh4eGy2Wz5tuX9DSxbtsykqv6YK/0NfP31\n1xozZox8fHyUnp6uSZMm6e677za7rELl5uZq2bJl2rt3r2rXrq2IiAh5eHiYXVaR0tLSdPnyZTkc\nDqWlpenOO+80u6QibdiwQb/88otq166tTp06mV1OqeBK71vXSktLk5+fn9llFDB//nxVqFBB58+f\n16pVq9SuXTuNHj26xO6/VAWrLl26aPbs2apZs6Zzm1VfUJ9++mm1adNGderUkZvblYHDtm3bmlxV\n4bp27arY2FjVqFHDua1u3bomVlTQkSNHivzezTffXIKVXD9X+huIiIjQzJkzVb16dZ04cUL//ve/\ntWLFCrPLKlRsbKx8fX3VokULbd26VefOndN//vMfs8sqVGxsrLZv366LFy/q4sWLCgoKUlJSktll\nFWr69Ok6ePCgmjVrpm+//VYBAQEaNWqU2WUVas6cOZo/f748PT2d2zZu3GhiRUVzpfetmTNnatmy\nZcrJydGlS5dUu3ZtrV692uyyCggLC9OiRYv0+OOPa+HCherbt2+JDgYU+1WBJSkwMNBl2uVUqlRJ\nu3fv1u7du53brPqmWrNmTd11111ml/GHDhw4kO+2zWZTlSpV1LBhQ5Mq+nOu9DdQpkwZVa9eXZJU\nvXp1lStXzuSKinbo0CEtXrxYktSpUyf16dPH5IqKtnv3bq1evVpxcXEaPny4hg4danZJRfrmm2+c\no7/9+vVTWFiYyRUVbc2aNfryyy/l5eVldil/ypXet9atW6eUlBRNmTJFAwYM0MSJE80uqVBubm46\ndeqUqlatKkm6dOlSid5/qQpWnp6eevzxx9WoUSPnaaERI0aYXFXhpk6dqgMHDujXX3/Vrbfeasnh\n1DxVqlRRXFycGjdu7Hxew8PDTa4qv8I+NaWlpalmzZp66aWXTKjoz02dOlV79uzR3r17VadOHTVq\n1Mjskork4+OjxMREtWjRQt98841uuukms0sqUlZWli5evCgvLy9dunSpyNWRraBSpUqy2Wy6cOGC\nKleubHY5f+jy5cuy2+1yc3NznrKyqoCAgHyjVVbmSu9b1apVk4eHhzIzM1WrVi3l5BRPx4a/q1Wr\nVoqKitKrr76qKVOmOBcoLymlKliV9JP3dyxatEiff/65fv/9d/Xs2VOHDh1SXFyc2WUVKiAgQJJ0\n6lQxtRIxwNSpUwvdbrUAeLXExER9/PHHCg4O1v/5P/9HDz74oAYNGmR2WYV69dVXNXv2bM2YMUP1\n6tUr8vm2gn79+qlHjx6qX7++9u7dq2effdbskorUpEkTLViwQH5+fho+fHiJf7L+Kx566CFFRETo\n9ttv186dO/XQQw+ZXVKRcnJy1K1bN+e6iTabTdOnTze5qsK50vtWjRo1tHLlSnl5eWn69Ok6f/68\n2SUVavjw4Ro+fLgk6bbbblPZsmVL9P5L1Ryry5cva/ny5S4xaTUiIkKLFy9Wv379lJiYqF69eund\nd981u6winT59WllZWc7b/v7+Jlbz57Kzs/Xxxx8rKSnJspPXw8PDtXjxYrm7uysnJ0d9+vSx7N/A\n66+/rieffNL5AjVt2jQ999xzJldVuK+//loNGzbUb7/9poCAAFWqVMnskv5QRkaGPD09tWHDBt1+\n++3O0xdWc/nyZe3fv1/79+9X3bp1VaNGDVWoUMHssgq1devWAttatmxpQiVF++GHH3TbbbcVOvfL\nqlMC7Ha7jh07pptuuknvvfee7rrrLkuuSxkVFVVgRJU5VjcoLi5OFSpU0N13362tW7dq7Nixlp20\nmjeUnvfLt2oAlKSJEydqw4YN8vPzs/SVdrt379Znn32ms2fPqnr16vrpp5/0yiuvmF1WkRwOh7O9\nU9myZUv8U9VfkZiYqO+//17//e9/Vb58ee3cudPskoqUkJCgxYsXq2LFimaX8qeSkpJ04MABxcTE\naPHixUpPT9fDDz9sdln5nDx5UhkZGYqJidF//vMf3XrrrbLb7Ro4cKBWrlxpdnmFaty4sV5//XXt\n27dPtWvX1jPPPGN2SQVs3rxZt912W6HTGKwWrNatW6cOHTrku2DFw8ND3377rSWDVd7cL4fDodTU\nVO3atatE779UBStXmrTatWtXPfroozp69KieeOIJS1+6vGPHDn3xxRfOK9es6JNPPtG8efPUp08f\nNW3aVEePHtXBgwf1yy+/WHZiaLNmzfTss8+qWbNm2rZtm6Uvs69fv76ioqI0aNAgzZo1y9Lza2w2\nm4YMGZLvakurzllZunSp883qzTff1GOPPWa5YLVjxw698847OnDggOLi4uRwOOTm5ma5N/+rxcbG\nqkWLFurevbu2bt2qUaNGac6cOWaXlc+TTz4p6co0htzcXDkcDm3fvl3BwcEmV1bQuXPnJF0J2a7g\n6qvW69WrV+IfAEpVsHKlSauPPfaY2rRpoz179qhOnTqWvnqtVq1aysrKsvQVNgsXLtSiRYtUvnx5\n57aePXtq8ODBlg2tMTExWr9+vfbt26devXpZfq7FPffco/Lly+uJJ56w9CKhvXr1MruE6+bm5pZv\n1NKKgbVTp07q1KmT3n///Xyhb//+/SZW9cfOnj2rqKgoSVKjRo302WefmVxR0SZPnqx69erp6NGj\nSk1NVbVq1fTyyy+bXVY+PXv2lCQ98MADznlrdrtd8+fPN7OsIi1fvtz5dVpami5cuFCi91+qglXf\nvn3zTVqNjo42u6QCpk+fXuDFc9euXVqzZo1lP1UfO3ZMHTp0cI78WPFUoLu7e75QJV25kq1MmTIm\nVVS0q//TS1fqPH78uJYvX27ZyfZ581NatGihl156SS+88ILJFRV04cIFrVq1SuXLl9fDDz9s6RHW\nPPfdd58iIyMVHBys1NRUdezY0eySCtizZ4/S0tL01ltvOed/2e12TZ8+XR988IHJ1RUuKytLJ0+e\nVLVq1XTq1ClLfxD44YcfNGbMGEVFRSkxMVH9+vUzu6QijRkzRvHx8bLZbIqJidEtt9xidkmFunpk\nrVy5cpo5c2aJ3n+pClbdu3dX+/btLT1p9dqFNW02m6x+/YBVr6a5WlGf9K34guoqw+lXuzqgNm7c\nWB06dDCxmsKNGjVKQUFBOn/+vA4ePGjZDypXe+aZZ9ShQwcdOHBADz/8sCVHrs+fP6/Vq1fr9OnT\nzvlANptNkZGRJldWtKFDh6pPnz7y9fVVRkaGJk2aZHZJRbLb7frxxx8VEBCg7OxsZWZmml1SkaZP\nn64RI0bo0qVLio2NVZs2bcwuqVBDhgzRF198oQMHDqh+/frOK9tLSqm6KnDXrl1avnx5vqvXrHpZ\n+MWLF7V8+XLnLz48PNyyk5cPHTqkTz/91LlmSVpaml588UWTq8rvrrvuKvCf3OFwaMuWLfrqq69M\nqurPrV+/Xr/88ovq1KljyVOWK1as0MqVK7Vv3z7np9Pc3FxdvnxZ7733nsnV5Zf3id/hcGjAgAF6\n++23zS6pSCtWrFDv3r0LHcG2aiBMTU1VkyZNdObMGVWsWNHSI4I5OTkqW7aszpw5o8qVK+vXX39V\nUFCQ2WUVavHixXr//fc1ZcoUJSUlqUGDBurdu7fZZeVz9Sj7/v37lZKSov79+0uy5pI2Y8aM0YUL\nF3THHXfou+++U/Xq1RUbG1ti91+qRqxGjRqlxx57LF/rFasaOXKk6tatq3bt2um7777T6NGjNW3a\nNLPLKtTIkSN1//3367vvvpOfn1+Jn6++HkUN9Vr5Aobp06fr0KFDCgkJ0fvvv69t27YpJibG7LLy\n6dGjh9q0aaM333xTTz/9tKQr84KqVKlicmUF5QUUm81myZHKq+W9RlmtNdQfSU9P13333SdfX1+d\nP3/e0v0iR44cqf/+97+qXLmyli1bprfeesuy86weffRRPfroo5KkgQMH5mttYxVXj7L7+vqqS5cu\nlh5537Nnj/OiEDO6BJSqYFW1alXLJf2inDt3zrkOUKdOnSw9rF6+fHk99dRTOnjwoKZOnWrJWq22\nRs31cIUWIT///LNuu+02PfDAA/naBu3bt89yV4U5HA7l5OTI4XDk+1qy3nIm7dq1kyR169ZN7733\nno4eParWrVurfv36JldWtNdee01LlizJ1y/SqsGqTZs2ev7555Weni5fX1/L9l+UzG8YfD3+/e9/\nO79ev369c61IK46yS1JQUJB+++03BQYG6vTp0yUeVktVsLr55ps1d+7cfK0BrPbin+eWW27Rtm3b\n1KxZM/3888/y9/d3vhFY7U3AZrPp5MmTyszM1IULFyw5YuWKXKFFSN5aO2vWrNGJEydUvXp1HT16\nVP7+/pb7v3XkyBF17tzZGaZCQ0MlXfn7TU5ONrO0Io0fP15+fn7atGmTbrvtNsXExGjevHlml1Uo\nV+gXmZ2dLenKlaEXLlzQ5s2bNXnyZJOr+mP/9//+X2fD4DVr1jivZrQiVxhll6Tt27frwQcflL+/\nv06cOCEPDw/n61VJNOMuVcEqJydHBw4cyPfJ2mov/nm2bdumjRs3qmzZss65S6GhoZZ8E/j3v/+t\nzz//XD169FCnTp3Uo0cPs0sqFVyhRUjHjh2dneE7d+6szMxMHT9+3JKjlmvXrjW7hL/s119/1eTJ\nk/Xtt9+qY8eOmjt3rtklFckV+kV27ty5wAVBedus9rqa59qGwVfPEbYaVxhll2T677pUBatrJ6qn\npaWZVMmfK2y1Xatq0aKFWrRoIenK5eEwxsCBA9W2bVvt379fvXr10q233mp2SQVMmzZNzz//vKQr\nDVgTExN16NAhjR071jkiZDU///yzYmNjdeLECVWtWlVTpkxR48aNzS6rULm5uTpz5oxsNpsyMjIs\nPSH82n6RU6ZMMbukAlwxXJvdMPivcIVRdunK38GqVavyhdSSHAkuVcHqtdde09KlS5WTk6NLly6p\ndu3alg0wy5YtK3AF45o1a0ysqGgzZszQypUr8/0nKonh1NLu6nYmAwcOVPfu3S236vbFixd12223\nSboyaVW6smDs5cuXzSzrD7300kuaPHmyGjZsqF27dmnixImWW3ctz/DhwxUREaGTJ08qPDzceaWV\nFU2YMMHyS6+8+OKLiouLU3h4eIE3fSv/DZjZMPiv6NKli+VH2SXplVde0YsvvmjaqGqpClZr165V\nSkqKpkyZogEDBjj7BVnRwoULNXfuXEsOp19r/fr1WrduneXmfrk6V2hncnXwnz17tvPrvNXCrSpv\nPahGjRpZutYWLVros88+cy5hEBYWZtkLcLKzs7V7927VqVPHsj1Oa9Sooffff7/A1cBWHFlxpRD4\n/vvvS5IqVaqkbt26KSsrS127dpWPj4/JlRWufv36atWqlWn3b91XnBtQrVo1eXh4KDMzU7Vq1XLO\nXbKiW2+9VTVr1rTkyuDXaty4sbKysiz3IurqXKGdiZ+fn3bu3Jmvf9nOnTtVrVo1E6v6Y25ublq7\ndq1zLpAr/N1WrlxZkiy9WPDBgwfzNTO24ryl9PR0paenO287HA6tWrVKnp6elvvQ4kohcN++fflu\nW/l5la5MWQkPD8+3nElJrmlZqoJVjRo1tHLlSnl5eWnatGk6f/682SUVqXXr1urUqZMCAwOd56oX\nLlxodlmFql+/vtq2bauqVas6a7XaC6orcoV2Js8//7yeeeYZtW7dWrVq1dJvv/2mzZs3W66h7dWm\nTJmisWPHauTIkQoODrbsIsGFseKb6owZMzR8+HANHTrUspfX5xk5cqTz619//VUxMTG69957S3Rx\nyOvlSiHQlZ5XSUpMTNTjjz/unL5Q0kpNsFq+fLni4uJ08uRJ1a5dW7t371Z8fLzZZRVp+fLlmjlz\npmm/+L9izZo1Sk5OVoUKFcwupVRxhXYmgYGBWrFihdauXavDhw+radOmGjp0aIG+jFawd+9evfji\ni1q4cKGOHTumBg0a6ODBg/rxxx/l7+9vdnn5jBgxokCIcjgc+u2330yqqGiffPKJ/Pz8lJiYqNOn\nT+f7nhVX3ZaurGb+zjvvaPTo0ZZsvyS5XliRXON5la6saWnm/K9SEawSEhL0yy+/qHv37rr55pvl\ncDj09ttv6/fff9eQIUPMLq9Q1atX12233Wbpq4Dy+Pv7y8vLyyVOqbiSQ4cOKSUlRTk5Odq/f7+W\nLFliuVZBkuTp6WnZSapX+6MrGB944AGTq8uvqI4AVuwUMG3aNH355ZfKzs629GrbknTixAmNHj1a\nN910k1asWOESc1hdIay42vPq6empQYMGqXHjxs4PMCXZKqpUBKuUlBQlJSU5n8CAgADNmDFDffr0\nsWywys7OVo8ePVS/fn1n3Va94ub48eO6//77FRgYKOnK6QqrTa50Ra7QKsiVuNIVjK7UKSA4OFjB\nwcFq165dvrl2VtSlSxd5eHiodevWBT6kWO311ZXCiis9r5JMD6ilIliVL1++wLB62bJl5e3tbVJF\nf+6pp54yu4TrNmPGDLNLKJVcoVWQK3HVKxhdxb59+xQTE6Ps7GzLzrW8+vduda4UVlzpeZWkTz/9\nVL1791aHDh1MuUCsVLzieHp6OvsC5fntt98sORE0z9GjR80u4U9Nnz69yOewJIdVSytaBRnLFa9g\ndCXz58/XnDlzLNkkOI8rjQS6UlhxpedVkl544QW9++67mjVrlu6++2717t1btWvXLrH7LxXB6rnn\nntMzzzyjNm3aKDAwUEePHtXGjRv1yiuvmF1akfIuX3U4HNq1a5cqVqxouStBrr5UFcajVZCxXPEK\nRlcSGBioWrVqmV1GqeFqYcWV1KtXTy+88ILOnDmjyZMnq2vXrmrRooWeffZZ3XnnncV+/zaHlRdO\n+QvS09OVnJystLQ0+fv7695777Xs4mXXcjgceuqppyzXJ+yPVle3ag9GV7Ju3bp8cwHWrFnjEpPE\nrezSpUvOKxhr1qyp++67z5JXMLqiYcOGKSMjI1+Te0auYUUbNmzQe++9p3379qlHjx7q2bOnLl++\nrCeeeEIffvhhsd9/qRixkq5MVrXaiM8fyevCLkknT57U4cOHTaymcH/UDohgdePWrVun7777TqtX\nr9b3338vSbLb7UpOTiZY/U2ucgWjK7JyDzvgah9++KEiIyMLjApGR0eXyP2XmhErV9OxY0dnF/a8\nS0N79epldlkoAceOHdPXX3+tuXPn6sknn5R0Zb7VrbfeqkaNGplcHVC4y5cv64cfftDly5flcDiU\nlpamrl27ml0W4JR3lqWwBtElORhAsDLJBx984DJzaq7+gzx37pwCAwP1ySefmFhR6ZDXJT5PWlqa\n/Pz8TKwIKNrTTz+tnJwcpaWlKTc3V35+fnr77bfNLgtwGj16tPPrrVu3qkWLFs6AVZIdGKy/OmUp\nldd81xVs3LjR+e+zzz7THXfcYXZJpUJCQoJat26tZs2aqUmTJhowYIDZJQFFOnv2rBYsWKDg4GCt\nWrUq3/IWgBWMHTtWZ8+e1f79+3XHHXdo7969On36tMaMGVOidZSaOVauJjs7Ww8//LDq1KnjHLWw\n2tolhbn55pu1f/9+s8soFdauXauUlBRNmTJFAwYM0MSJE80uCSiSp6enpCsLseZ9DVjJ9OnT1blz\n53zzrVesWKH//Oc/JdrVgmBlguXLl2vo0KEqW7asvvnmG1WuXNnSSxtc3dcsLS1NVapUMbmi0qFq\n1ary8PBQZmamatWqpZycHLNLAor0wAMP6PXXX1fDhg0VHh4uLy8vs0sC8tm9e7fi4uLybevdu7dW\nrlxZonUQrEpYXl/DV155RV5eXvL399fLL7+s06dPq1WrVmaXV8Dy5cvVq1cvZwi89dZbNWjQILPL\nKhVq1qyplStXysvLS9OmTdP58+fNLgko4Op5K3nzAv38/FjRHpZT1N9kSa++zhyrEpaSkqLXXnvN\n+Wkvr6/hunXrTK6soISEBH311VcKCQlRy5Yt1aNHD+3cuZMFFw2we/duVa5cWZ9++qlq1Kih6tWr\nu8SpYPzz/Pjjj/r222/l7++vbt266aGHHlJYWJj+9a9/mV0akE/FihX1ww8/5Nv2ww8/lHgfRj5y\nlDBX6mvois2tXcEnn3yiefPmKSIiQrfffruOHj2qpKQk1axZU7fccovZ5QH5fPTRR9qzZ48+/PBD\nzZ07Vy1atFD37t1ZhR2W88ILL2jw4MFq1aqVAgMDdfjwYW3evFlvvPFGidZBsCphrtTX0JVCoCtZ\nuHChFi1alG9F8J49e2rw4MHq1KmTiZUBhWvQoIGee+45SdI333yj6dOn6/jx40pKSjK5MuB/AgIC\ntHLlSq1fv16//fabgoODNXz48BLvvkCwKmGu1NfQlUKgK3F3dy/wH93Hx8eULuzA9crIyNDnn3+u\njz/+WBcvXlT37t3NLgkooFy5cgoNDTW1BoJVCatfv76WLFni7GvYpEkTDRkyxJJ9DV0pBLqSooKp\n3W4v4UqAP7dmzRqtWbNGR48e1QMPPKCJEycqICDA7LIAy2LldfwhV25ubVV33XWX2rRpk2+bw+HQ\nli1b9NVXX5lUFVC4hg0bqm7dumrYsKGk/B8MuOACKIhgBZSwrVu3Fvm9a5uGAmbj7xX4awhWAAAA\nBmEdKwAAAIMQrAAAAAxCsALgMlatWqVp06YVy7HvvvvuYjkugH8WghUAAIBBWMcKgEvZvn27+vXr\np4yMDEVHR2vatGmqXYgUA1UAAAHOSURBVLu2ypYtq5iYGE2YMEFZWVk6efKkhg0bpk6dOqlbt25q\n2bKlfv75Z9lsNs2ePVvly5fXuHHjtHfvXgUGBio7O9vshwagFCBYAXApXl5emjt3rs6cOaPevXvL\nbrfrmWeeUePGjbVp0yYNGDBArVq10nfffaeEhAR16tRJmZmZ6tKli8aNG6eRI0cqJSVFZcqUUVZW\nlpKSknT06FF99tlnZj80AKUAwQqAS2nWrJlsNpuqVKkiX19fHTp0SHXq1JEkVatWTW+88YZWrlwp\nm82my5cvO3+ucePGkqSaNWsqKytLaWlpCg4OliT5+/urZs2aJf9gAJQ6zLEC4FJ++OEHSdLJkyd1\n4cIFVapUSW5uV17KXnvtNfXo0UOvvvqqWrVqpauX6bu2ldAtt9yi7du3S5JOnDihEydOlNAj+H/t\n3DEKhDAQQNG5gp14HRsvYJuL2KXMEXIfz2MnKe22225YWHmvDYSUnxkI8GYmVsBfGWNEKSXu+45a\naxzH8Tnbti1aa9F7j3me47qur/es6xrneca+77EsS0zT9IvnAy/n53UAgCRWgQAASYQVAEASYQUA\nkERYAQAkEVYAAEmEFQBAEmEFAJBEWAEAJHkAVfKCV+rKyJEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10aa26080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax_brand_price= df_brand_avg['price.1'].plot(kind='bar', figsize=(10,6))\n",
    "for p in ax_brand_price.patches:\n",
    "    ax_brand_price.annotate(str(int(p.get_height())), (p.get_x() + p.get_width() / 2., p.get_height()), ha='center', va='center', xytext=(0, 10), textcoords='offset points')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Produktebene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>brand</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>amount_of_sellers</th>\n",
       "      <th>product_name_channel</th>\n",
       "      <th>seller</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>ebay.co.uk</td>\n",
       "      <td>98.7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/315845118548090659...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>SLRHut.co.uk</td>\n",
       "      <td>185.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3</td>\n",
       "      <td>1249.00</td>\n",
       "      <td>1249.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/9684070407.html?ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>ukcameraltd.co.uk</td>\n",
       "      <td>72.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1347.99</td>\n",
       "      <td>1347.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/6302037556.html?ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>Amazon-marketplace.co.uk</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2</td>\n",
       "      <td>1599.00</td>\n",
       "      <td>1603.68</td>\n",
       "      <td>4.68</td>\n",
       "      <td>https://www.idealo.co.uk/go/318088380619843806...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>amazon.co.uk</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/315126077024790490...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>Currys PC World (UK)</td>\n",
       "      <td>23.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/3753718088.html?ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>johnlewis.com</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/7767365039.html?ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>Photospecialist.co.uk</td>\n",
       "      <td>29.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1615.70</td>\n",
       "      <td>1622.62</td>\n",
       "      <td>6.92</td>\n",
       "      <td>https://www.idealo.co.uk/go/8256602539.html?ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>Very.co.uk</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5</td>\n",
       "      <td>1619.00</td>\n",
       "      <td>1622.99</td>\n",
       "      <td>3.99</td>\n",
       "      <td>https://www.idealo.co.uk/go/7110679842.html?ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>21599</td>\n",
       "      <td>18208021635</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon 14-24mm f/2.8G ED AF-S Nikkor</td>\n",
       "      <td>wexphotovideo.com (UK)</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1719.00</td>\n",
       "      <td>1719.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>https://www.idealo.co.uk/go/4135924523.html?ca...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    product_id     gtin_ean  brand manufacturer_nr  \\\n",
       "55       21599  18208021635  Nikon        JAA801DA   \n",
       "56       21599  18208021635  Nikon        JAA801DA   \n",
       "57       21599  18208021635  Nikon        JAA801DA   \n",
       "58       21599  18208021635  Nikon        JAA801DA   \n",
       "59       21599  18208021635  Nikon        JAA801DA   \n",
       "60       21599  18208021635  Nikon        JAA801DA   \n",
       "61       21599  18208021635  Nikon        JAA801DA   \n",
       "62       21599  18208021635  Nikon        JAA801DA   \n",
       "63       21599  18208021635  Nikon        JAA801DA   \n",
       "64       21599  18208021635  Nikon        JAA801DA   \n",
       "\n",
       "                                                title        date class  \\\n",
       "55  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "56  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "57  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "58  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "59  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "60  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "61  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "62  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "63  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "64  Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...  2018-01-29     1   \n",
       "\n",
       "    amount_of_sellers                 product_name_channel  \\\n",
       "55               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "56               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "57               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "58               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "59               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "60               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "61               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "62               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "63               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "64               11.0  Nikon 14-24mm f/2.8G ED AF-S Nikkor   \n",
       "\n",
       "                       seller  reviews  rating_stars delivery_time.1  price.1  \\\n",
       "55                ebay.co.uk      98.7           5.0               2  1099.00   \n",
       "56              SLRHut.co.uk     185.0           4.5               3  1249.00   \n",
       "57         ukcameraltd.co.uk      72.0           5.0               8  1347.99   \n",
       "58  Amazon-marketplace.co.uk      26.0           4.5               2  1599.00   \n",
       "59              amazon.co.uk      21.0           4.0               4  1619.00   \n",
       "60      Currys PC World (UK)      23.0           2.0               1  1619.00   \n",
       "61             johnlewis.com       5.0           4.0               2  1619.00   \n",
       "62     Photospecialist.co.uk      29.0           5.0               5  1615.70   \n",
       "63                Very.co.uk       7.0           3.0               5  1619.00   \n",
       "64    wexphotovideo.com (UK)       3.0           3.5               1  1719.00   \n",
       "\n",
       "    price_with_shipping  shipping_cost.1  \\\n",
       "55              1099.00             0.00   \n",
       "56              1249.00             0.00   \n",
       "57              1347.99             0.00   \n",
       "58              1603.68             4.68   \n",
       "59              1619.00             0.00   \n",
       "60              1619.00             0.00   \n",
       "61              1619.00             0.00   \n",
       "62              1622.62             6.92   \n",
       "63              1622.99             3.99   \n",
       "64              1719.00             0.00   \n",
       "\n",
       "                                                  url  \n",
       "55  https://www.idealo.co.uk/go/315845118548090659...  \n",
       "56  https://www.idealo.co.uk/go/9684070407.html?ca...  \n",
       "57  https://www.idealo.co.uk/go/6302037556.html?ca...  \n",
       "58  https://www.idealo.co.uk/go/318088380619843806...  \n",
       "59  https://www.idealo.co.uk/go/315126077024790490...  \n",
       "60  https://www.idealo.co.uk/go/3753718088.html?ca...  \n",
       "61  https://www.idealo.co.uk/go/7767365039.html?ca...  \n",
       "62  https://www.idealo.co.uk/go/8256602539.html?ca...  \n",
       "63  https://www.idealo.co.uk/go/7110679842.html?ca...  \n",
       "64  https://www.idealo.co.uk/go/4135924523.html?ca...  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bsp_product= df.loc[df['gtin_ean']==18208021635]\n",
    "aktuell_preis= 1400\n",
    "bsp_product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x1118e9630>,\n",
       "  <matplotlib.patches.Wedge at 0x1118f44e0>],\n",
       " [Text(-0.646564,0.889919,'Without Shipping Cost'),\n",
       "  Text(0.646564,-0.889919,'With Shipping Cost')],\n",
       " [Text(-0.352671,0.48541,'70.0%'), Text(0.352671,-0.48541,'30.0%')])"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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17Pd3XFeuoJGudJF7I+e6NtpdhsQwv99Pn8IeeNxuXKm5wFS7SzotUR00wVDH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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111f69240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.gcf()\n",
    "fig.set_size_inches(7, 7)\n",
    "without_shipping= len(bsp_product[bsp_product['shipping_cost.1']==0])/len(bsp_product)\n",
    "labels = 'Without Shipping Cost', 'With Shipping Cost'\n",
    "fracs = [without_shipping, 1-without_shipping]\n",
    "plt.pie(fracs, labels=labels, autopct='%1.1f%%', shadow=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64    1719.00\n",
       "63    1622.99\n",
       "62    1622.62\n",
       "59    1619.00\n",
       "60    1619.00\n",
       "61    1619.00\n",
       "58    1603.68\n",
       "57    1347.99\n",
       "56    1249.00\n",
       "55    1099.00\n",
       "Name: price_with_shipping, dtype: float64"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Price range top 1~10 !!! Versandzeit ergaenzen #### Tabelle wie frueher\n",
    "## % Verteilung keine Versandkosten : wie viele Prozent Anbieter brauchen keine VK\n",
    "bsp_product['price_with_shipping'].nlargest(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x111a6bdd8>"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x111187eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# % Verteilung mit Versandkosten\n",
    "# Platzierung im Marktplatz mit aktuellem Preis\n",
    "bsp_product['price_with_shipping'].plot(kind= 'hist', title= 'Price distribution')\n",
    "plt.axvline(bsp_product['price_with_shipping'].mean(), color='red', linestyle='dashed', linewidth=2)\n",
    "plt.axvline(aktuell_preis, color='green',  linewidth=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "238241255.1"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Durchschnittliche Lieferzeit\n",
    "bsp_product['delivery_time.1'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Class\n",
    "\n",
    "### 5,6,7, inconclusive mit Detailinfos, welcher Brand am häufigsten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "class_low= pd.concat([df[ df['class']==5], df[df['class']=='inconclusive']])\n",
    "class_low_count= class_low.groupby(['brand']).count()\n",
    "class_low_min= class_low.groupby(['brand']).min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>amount_of_sellers</th>\n",
       "      <th>product_name_channel</th>\n",
       "      <th>seller</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Canon</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crumpler</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJI</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leica</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nikon</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nokia</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          product_id  gtin_ean  manufacturer_nr  title  date  class  \\\n",
       "brand                                                                 \n",
       "Canon              5         5                5      5     5      5   \n",
       "Crumpler          33        33               33     33    33     33   \n",
       "DJI                5         5                5      5     5      5   \n",
       "Leica             16        16               16     16    16     16   \n",
       "Nikon             20        20               20     20    20     20   \n",
       "Nokia              2         2                2      2     2      2   \n",
       "\n",
       "          amount_of_sellers  product_name_channel  seller  reviews  \\\n",
       "brand                                                                \n",
       "Canon                     5                     5       5        5   \n",
       "Crumpler                 33                    33      33       31   \n",
       "DJI                       5                     5       5        4   \n",
       "Leica                    16                    16      16       13   \n",
       "Nikon                    20                    20      20       20   \n",
       "Nokia                     2                     2       2        2   \n",
       "\n",
       "          rating_stars  delivery_time.1  price.1  price_with_shipping  \\\n",
       "brand                                                                   \n",
       "Canon                5                5        5                    5   \n",
       "Crumpler            31               33       33                   33   \n",
       "DJI                  5                5        5                    5   \n",
       "Leica               15               16       16                   16   \n",
       "Nikon               20               20       20                   20   \n",
       "Nokia                2                2        2                    2   \n",
       "\n",
       "          shipping_cost.1  url  \n",
       "brand                           \n",
       "Canon                   5    5  \n",
       "Crumpler               33   33  \n",
       "DJI                     5    5  \n",
       "Leica                  16   16  \n",
       "Nikon                  20   20  \n",
       "Nokia                   2    2  "
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_low_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "metadata": {},
   "outputs": [],
   "source": [
    "d2= {'Anzahl_von_Produkt_id': class_low_count.seller, 'Mittelwert_von_price_with_shipping':class_low_min['price_with_shipping'], 'Mittelwert_von_price_1':class_low_min['price.1']}\n",
    "class_low_brand_data= pd.DataFrame(data= d2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1155ec9e8>"
      ]
     },
     "execution_count": 414,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AgKsZ91gBAAAYQrACAAAwhGAFAABgCMEKAADAkKvm5vXO73c2Ot7lPPq6detWhYWFKT4+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\n/5IShhiGyaF7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115982908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_low_brand_data.plot(kind='bar', figsize=(10,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HQ8OGDdP+/fslSRUrVpSXF7slAODawWE4lKouXbpo9OjR6tu3r3JzcxUbG6vq1atr1KhR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\n/D86EiSFW13agAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115876be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax_low_class = class_low_brand_data['Anzahl_von_Produkt_id'].plot(kind=\"bar\", figsize= (10,6), title='Brand distribution of low class products')\n",
    "#plt.legend(loc='center left', bbox_to_anchor=(1.1, 0.5))\n",
    "for p in ax_low_class.patches:\n",
    "    ax_low_class.annotate(str(int(p.get_height())), (p.get_x() + p.get_width() / 2., p.get_height()), ha='center', va='center', xytext=(0, 10), textcoords='offset points')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Vergleich mit Konkurrenten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>brand</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>min_price</th>\n",
       "      <th>price</th>\n",
       "      <th>max_price</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>...</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>suggested_retail_price</th>\n",
       "      <th>url</th>\n",
       "      <th>extra_one</th>\n",
       "      <th>extra_two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12718</td>\n",
       "      <td>4960999326429</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1056B005</td>\n",
       "      <td>Canon EF 1,2/85 mm L II USM Canon EF</td>\n",
       "      <td>1760.952381</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1941.45</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1905.00</td>\n",
       "      <td>1905.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>http://www.amazon.de/dp/B000EW9Y4M</td>\n",
       "      <td>prime</td>\n",
       "      <td>BUY BOX!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12718</td>\n",
       "      <td>4960999326429</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1056B005</td>\n",
       "      <td>Canon EF 1,2/85 mm L II USM Canon EF</td>\n",
       "      <td>1760.952381</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1941.45</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>100229.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15</td>\n",
       "      <td>2238.99</td>\n",
       "      <td>2238.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>http://www.amazon.de/dp/B000EW9Y4M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12718</td>\n",
       "      <td>4960999326429</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1056B005</td>\n",
       "      <td>Canon EF 1,2/85 mm L II USM Canon EF</td>\n",
       "      <td>1760.952381</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1941.45</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>37623.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>2298.00</td>\n",
       "      <td>2298.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>http://www.amazon.de/dp/B000EW9Y4M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12718</td>\n",
       "      <td>4960999326429</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1056B005</td>\n",
       "      <td>Canon EF 1,2/85 mm L II USM Canon EF</td>\n",
       "      <td>1760.952381</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1941.45</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>700.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>7</td>\n",
       "      <td>2375.56</td>\n",
       "      <td>2375.56</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>http://www.amazon.de/dp/B000EW9Y4M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12718</td>\n",
       "      <td>4960999326429</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1056B005</td>\n",
       "      <td>Canon EF 1,2/85 mm L II USM Canon EF</td>\n",
       "      <td>1760.952381</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>1941.45</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>57697.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6</td>\n",
       "      <td>2431.69</td>\n",
       "      <td>2432.48</td>\n",
       "      <td>0.79</td>\n",
       "      <td>2239.0</td>\n",
       "      <td>http://www.amazon.de/dp/B000EW9Y4M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   product_id       gtin_ean  brand manufacturer_nr  \\\n",
       "0       12718  4960999326429  Canon        1056B005   \n",
       "1       12718  4960999326429  Canon        1056B005   \n",
       "2       12718  4960999326429  Canon        1056B005   \n",
       "3       12718  4960999326429  Canon        1056B005   \n",
       "4       12718  4960999326429  Canon        1056B005   \n",
       "\n",
       "                                  title    min_price   price  max_price  \\\n",
       "0  Canon EF 1,2/85 mm L II USM Canon EF  1760.952381  1849.0    1941.45   \n",
       "1  Canon EF 1,2/85 mm L II USM Canon EF  1760.952381  1849.0    1941.45   \n",
       "2  Canon EF 1,2/85 mm L II USM Canon EF  1760.952381  1849.0    1941.45   \n",
       "3  Canon EF 1,2/85 mm L II USM Canon EF  1760.952381  1849.0    1941.45   \n",
       "4  Canon EF 1,2/85 mm L II USM Canon EF  1760.952381  1849.0    1941.45   \n",
       "\n",
       "         date class    ...       reviews rating_stars delivery_time.1  \\\n",
       "0  2017-12-08     1    ...           NaN          NaN               1   \n",
       "1  2017-12-08     1    ...      100229.0          5.0              15   \n",
       "2  2017-12-08     1    ...       37623.0          5.0               5   \n",
       "3  2017-12-08     1    ...         700.0          4.5               7   \n",
       "4  2017-12-08     1    ...       57697.0          4.5               6   \n",
       "\n",
       "   price.1  price_with_shipping shipping_cost.1  suggested_retail_price  \\\n",
       "0  1905.00              1905.00            0.00                  2239.0   \n",
       "1  2238.99              2238.99            0.00                  2239.0   \n",
       "2  2298.00              2298.00            0.00                  2239.0   \n",
       "3  2375.56              2375.56            0.00                  2239.0   \n",
       "4  2431.69              2432.48            0.79                  2239.0   \n",
       "\n",
       "                                  url  extra_one  extra_two  \n",
       "0  http://www.amazon.de/dp/B000EW9Y4M      prime   BUY BOX!  \n",
       "1  http://www.amazon.de/dp/B000EW9Y4M        NaN        NaN  \n",
       "2  http://www.amazon.de/dp/B000EW9Y4M        NaN        NaN  \n",
       "3  http://www.amazon.de/dp/B000EW9Y4M        NaN        NaN  \n",
       "4  http://www.amazon.de/dp/B000EW9Y4M        NaN        NaN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2= pd.read_csv('aimondo_template_jack_500.txt', sep='\\t', thousands='.', decimal=',')\n",
    "df2= df2.dropna(axis=1, how='all')\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2815"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Abweichungen vom eigenen Preis\n",
    "* Export alle Abweichungen > XY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>brand</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>min_price</th>\n",
       "      <th>price</th>\n",
       "      <th>max_price</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>...</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>suggested_retail_price</th>\n",
       "      <th>url</th>\n",
       "      <th>extra_one</th>\n",
       "      <th>extra_two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>24497</td>\n",
       "      <td>4960999483283</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2297B005</td>\n",
       "      <td>Canon EF 2,0/200 L IS USM Canon EF</td>\n",
       "      <td>5237.142857</td>\n",
       "      <td>5499.0</td>\n",
       "      <td>5773.95</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1105.99</td>\n",
       "      <td>1105.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1476.0</td>\n",
       "      <td>http://www.amazon.de/dp/B00007EE9B</td>\n",
       "      <td>prime</td>\n",
       "      <td>BUY BOX!</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     product_id       gtin_ean  brand manufacturer_nr  \\\n",
       "208       24497  4960999483283  Canon        2297B005   \n",
       "\n",
       "                                  title    min_price   price  max_price  \\\n",
       "208  Canon EF 2,0/200 L IS USM Canon EF  5237.142857  5499.0    5773.95   \n",
       "\n",
       "           date class    ...      reviews rating_stars delivery_time.1  \\\n",
       "208  2017-12-08     5    ...          NaN          NaN               1   \n",
       "\n",
       "     price.1  price_with_shipping shipping_cost.1  suggested_retail_price  \\\n",
       "208  1105.99              1105.99             0.0                  1476.0   \n",
       "\n",
       "                                    url  extra_one  extra_two  \n",
       "208  http://www.amazon.de/dp/B00007EE9B      prime   BUY BOX!  \n",
       "\n",
       "[1 rows x 23 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Kokurrente, deren Preis 20% weniger als mein Preis ist.\n",
    "konk= df2[df2['price'].apply(lambda x: x*0.8) > df2['price.1']]\n",
    "konk.head(1) #length: 107"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "konk_count = konk.groupby(['gtin_ean','title']).count()\n",
    "konk_min = konk.groupby(['gtin_ean','title']).min()\n",
    "konk_avg= konk.groupby(['gtin_ean','title']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [],
   "source": [
    "#seller = konk.groupby(['gtin_ean','title']).count().seller\n",
    "### Preisdifferenz zwischen min price und mein preis\n",
    "konk_ean= konk.groupby(['gtin_ean','title'])['gtin_ean','brand','seller','price','price.1','price_with_shipping','delivery_time.1']\n",
    "#konk_data.insert(loc=0,column='min_price', value=konk_min['price_with_shipping'].values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gtin_ean       title                                                                        \n",
       "18208022137    Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  | 100 Wochen Zusatzgarantie         [18208022137]\n",
       "18208200504    Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon DX  | 100 Wochen Zusatzgarantie      [18208200504]\n",
       "18208200597    Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 100 Wochen Zusatzgarantie             [18208200597]\n",
       "18208200603    Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 Wochen Zusatzgarantie                [18208200603]\n",
       "18208944712    Nikon D810,AF-S 24-120 ED VR                                                       [18208944712]\n",
       "18208955565    Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3                                     [18208955565]\n",
       "18208956487    Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR                                           [18208956487]\n",
       "18208997862    Nikon Coolpix S810C weiß                                                           [18208997862]\n",
       "818279018035   GoPro Hero5 Black inkl. Freevision Gimbal & Gopro Zusatz Akku schwarz             [818279018035]\n",
       "875720001411   Datacolor Spyder 5 Pro                                                            [875720001411]\n",
       "4013904001536  Nissin i40 Nikon                                                                 [4013904001536]\n",
       "4013904001567  Nissin i40 Fujifilm                                                              [4013904001567]\n",
       "4022243103702  Leica M-A (Typ 127) schwarz                                                      [4022243103702]\n",
       "4022243109308  Leica M Monochrom (Typ 246)                                                      [4022243109308]\n",
       "4022243400948  Leica Ultravid 10x42 HD-Plus                                                     [4022243400948]\n",
       "4036957412210  Crumpler Proper Roady 4500 limited Xmas Edition                                  [4036957412210]\n",
       "4549292037715  Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M schwarz                            [4549292037715]\n",
       "4549292065365  Canon PowerShot G7X Mark II schwarz                                              [4549292065365]\n",
       "4549292078787  Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM schwarz                          [4549292078787]\n",
       "4549292088359  Canon LEGRIA HF-R806 Full-HD Camcorder schwarz                                   [4549292088359]\n",
       "4960759026057  Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Wochen Zusatzgarantie                [4960759026057]\n",
       "4960999483283  Canon EF 2,0/200 L IS USM Canon EF                                               [4960999483283]\n",
       "4960999730301  Canon EF 4,0/400 DO IS II USM Canon EF                                           [4960999730301]\n",
       "4960999780672  Canon EF 4,0/500 L IS II USM Canon EF                                            [4960999780672]\n",
       "4960999780696  Canon EF 4,0/600 L IS II USM Canon EF                                            [4960999780696]\n",
       "4960999970295  Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S                                       [4960999970295]\n",
       "6438158763821  Nokia 150 schwarz                                                                [6438158763821]\n",
       "6438158763869  Nokia Dual Sim 216 schwarz                                                       [6438158763869]\n",
       "6438409004383  Nokia 6 Dual SIM Smartphone copper                                               [6438409004383]\n",
       "6438409600486  Nokia 3310 Dual Sim Mobiltelefon dunkelblau                                      [6438409600486]\n",
       "6958265104589  DJI Osmo Universal Halterung                                                     [6958265104589]\n",
       "6958265107276  DJI Lightbridge 2                                                                [6958265107276]\n",
       "6958265122538  DJI Ronin Serie Thumb Controller                                                 [6958265122538]\n",
       "6958265132148  DJI Matrice 600 Pro                                                              [6958265132148]\n",
       "8024221021424  Manfrotto STATIV Alu-Studio 3 298B                                               [8024221021424]\n",
       "8024221564419  Manfrotto Joystick Stativkopf Junior                                             [8024221564419]\n",
       "Name: gtin_ean, dtype: object"
      ]
     },
     "execution_count": 346,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "konk_ean.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [],
   "source": [
    "konk_data= pd.DataFrame()\n",
    "konk_data.insert(loc=0, column='min_price', value= konk_min['price_with_shipping'])\n",
    "konk_data.insert(loc=0, column= 'my_price', value= konk_min['price'])\n",
    "konk_data.insert(loc=0, column= 'brand', value= konk_min['brand'])\n",
    "konk_data.insert(loc=0, column= 'price_diff', value= (konk_min['price']-konk_min['price_with_shipping']))\n",
    "konk_data.insert(loc=0, column= 'price_diff_percent', value= ((konk_min['price']-konk_min['price_with_shipping'])/konk_min['price']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>price_diff_percent</th>\n",
       "      <th>price_diff</th>\n",
       "      <th>brand</th>\n",
       "      <th>my_price</th>\n",
       "      <th>min_price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18208022137</th>\n",
       "      <th>Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  | 100 Wochen Zusatzgarantie</th>\n",
       "      <td>0.273984</td>\n",
       "      <td>110.95</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>404.95</td>\n",
       "      <td>294.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208200504</th>\n",
       "      <th>Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon DX  | 100 Wochen Zusatzgarantie</th>\n",
       "      <td>0.442456</td>\n",
       "      <td>126.10</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>285.00</td>\n",
       "      <td>158.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208200597</th>\n",
       "      <th>Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 100 Wochen Zusatzgarantie</th>\n",
       "      <td>0.497510</td>\n",
       "      <td>108.90</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>218.89</td>\n",
       "      <td>109.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208200603</th>\n",
       "      <th>Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 Wochen Zusatzgarantie</th>\n",
       "      <td>0.657143</td>\n",
       "      <td>115.00</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>175.00</td>\n",
       "      <td>60.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208944712</th>\n",
       "      <th>Nikon D810,AF-S 24-120 ED VR</th>\n",
       "      <td>0.810740</td>\n",
       "      <td>3080.00</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>3799.00</td>\n",
       "      <td>719.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208955565</th>\n",
       "      <th>Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3</th>\n",
       "      <td>0.697695</td>\n",
       "      <td>1604.00</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>2299.00</td>\n",
       "      <td>695.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208956487</th>\n",
       "      <th>Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR</th>\n",
       "      <td>0.843662</td>\n",
       "      <td>3880.00</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>4599.00</td>\n",
       "      <td>719.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208997862</th>\n",
       "      <th>Nikon Coolpix S810C weiß</th>\n",
       "      <td>0.971674</td>\n",
       "      <td>232.23</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>239.00</td>\n",
       "      <td>6.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>818279018035</th>\n",
       "      <th>GoPro Hero5 Black inkl. Freevision Gimbal &amp; Gopro Zusatz Akku schwarz</th>\n",
       "      <td>0.424096</td>\n",
       "      <td>283.72</td>\n",
       "      <td>GoPro</td>\n",
       "      <td>669.00</td>\n",
       "      <td>385.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875720001411</th>\n",
       "      <th>Datacolor Spyder 5 Pro</th>\n",
       "      <td>0.228188</td>\n",
       "      <td>34.00</td>\n",
       "      <td>Datacolor</td>\n",
       "      <td>149.00</td>\n",
       "      <td>115.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4013904001536</th>\n",
       "      <th>Nissin i40 Nikon</th>\n",
       "      <td>0.301676</td>\n",
       "      <td>54.00</td>\n",
       "      <td>Nissin</td>\n",
       "      <td>179.00</td>\n",
       "      <td>125.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4013904001567</th>\n",
       "      <th>Nissin i40 Fujifilm</th>\n",
       "      <td>0.301676</td>\n",
       "      <td>54.00</td>\n",
       "      <td>Nissin</td>\n",
       "      <td>179.00</td>\n",
       "      <td>125.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4022243103702</th>\n",
       "      <th>Leica M-A (Typ 127) schwarz</th>\n",
       "      <td>0.970010</td>\n",
       "      <td>3928.54</td>\n",
       "      <td>Leica</td>\n",
       "      <td>4050.00</td>\n",
       "      <td>121.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4022243109308</th>\n",
       "      <th>Leica M Monochrom (Typ 246)</th>\n",
       "      <td>0.997514</td>\n",
       "      <td>7182.10</td>\n",
       "      <td>Leica</td>\n",
       "      <td>7200.00</td>\n",
       "      <td>17.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4022243400948</th>\n",
       "      <th>Leica Ultravid 10x42 HD-Plus</th>\n",
       "      <td>0.207489</td>\n",
       "      <td>471.00</td>\n",
       "      <td>Leica</td>\n",
       "      <td>2270.00</td>\n",
       "      <td>1799.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4036957412210</th>\n",
       "      <th>Crumpler Proper Roady 4500 limited Xmas Edition</th>\n",
       "      <td>0.957775</td>\n",
       "      <td>79.39</td>\n",
       "      <td>Crumpler</td>\n",
       "      <td>82.89</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4549292037715</th>\n",
       "      <th>Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M schwarz</th>\n",
       "      <td>0.289837</td>\n",
       "      <td>71.01</td>\n",
       "      <td>Canon</td>\n",
       "      <td>245.00</td>\n",
       "      <td>173.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4549292065365</th>\n",
       "      <th>Canon PowerShot G7X Mark II schwarz</th>\n",
       "      <td>0.987532</td>\n",
       "      <td>532.28</td>\n",
       "      <td>Canon</td>\n",
       "      <td>539.00</td>\n",
       "      <td>6.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4549292078787</th>\n",
       "      <th>Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM schwarz</th>\n",
       "      <td>0.492580</td>\n",
       "      <td>630.01</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1279.00</td>\n",
       "      <td>648.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4549292088359</th>\n",
       "      <th>Canon LEGRIA HF-R806 Full-HD Camcorder schwarz</th>\n",
       "      <td>0.265305</td>\n",
       "      <td>74.02</td>\n",
       "      <td>Canon</td>\n",
       "      <td>279.00</td>\n",
       "      <td>204.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4960759026057</th>\n",
       "      <th>Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Wochen Zusatzgarantie</th>\n",
       "      <td>0.314585</td>\n",
       "      <td>330.00</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>1049.00</td>\n",
       "      <td>719.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4960999483283</th>\n",
       "      <th>Canon EF 2,0/200 L IS USM Canon EF</th>\n",
       "      <td>0.798874</td>\n",
       "      <td>4393.01</td>\n",
       "      <td>Canon</td>\n",
       "      <td>5499.00</td>\n",
       "      <td>1105.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4960999730301</th>\n",
       "      <th>Canon EF 4,0/400 DO IS II USM Canon EF</th>\n",
       "      <td>0.803508</td>\n",
       "      <td>5222.00</td>\n",
       "      <td>Canon</td>\n",
       "      <td>6499.00</td>\n",
       "      <td>1277.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4960999780672</th>\n",
       "      <th>Canon EF 4,0/500 L IS II USM Canon EF</th>\n",
       "      <td>0.995642</td>\n",
       "      <td>8910.00</td>\n",
       "      <td>Canon</td>\n",
       "      <td>8949.00</td>\n",
       "      <td>39.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4960999780696</th>\n",
       "      <th>Canon EF 4,0/600 L IS II USM Canon EF</th>\n",
       "      <td>0.996486</td>\n",
       "      <td>11060.00</td>\n",
       "      <td>Canon</td>\n",
       "      <td>11099.00</td>\n",
       "      <td>39.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4960999970295</th>\n",
       "      <th>Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S</th>\n",
       "      <td>0.437186</td>\n",
       "      <td>87.00</td>\n",
       "      <td>Canon</td>\n",
       "      <td>199.00</td>\n",
       "      <td>112.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6438158763821</th>\n",
       "      <th>Nokia 150 schwarz</th>\n",
       "      <td>0.123601</td>\n",
       "      <td>5.19</td>\n",
       "      <td>Nokia</td>\n",
       "      <td>41.99</td>\n",
       "      <td>36.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6438158763869</th>\n",
       "      <th>Nokia Dual Sim 216 schwarz</th>\n",
       "      <td>0.211962</td>\n",
       "      <td>10.49</td>\n",
       "      <td>Nokia</td>\n",
       "      <td>49.49</td>\n",
       "      <td>39.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6438409004383</th>\n",
       "      <th>Nokia 6 Dual SIM Smartphone copper</th>\n",
       "      <td>0.963213</td>\n",
       "      <td>239.84</td>\n",
       "      <td>Nokia</td>\n",
       "      <td>249.00</td>\n",
       "      <td>9.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6438409600486</th>\n",
       "      <th>Nokia 3310 Dual Sim Mobiltelefon dunkelblau</th>\n",
       "      <td>0.389388</td>\n",
       "      <td>22.97</td>\n",
       "      <td>Nokia</td>\n",
       "      <td>58.99</td>\n",
       "      <td>36.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6958265104589</th>\n",
       "      <th>DJI Osmo Universal Halterung</th>\n",
       "      <td>-0.310036</td>\n",
       "      <td>-8.65</td>\n",
       "      <td>DJI</td>\n",
       "      <td>27.90</td>\n",
       "      <td>36.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6958265107276</th>\n",
       "      <th>DJI Lightbridge 2</th>\n",
       "      <td>0.320229</td>\n",
       "      <td>448.00</td>\n",
       "      <td>DJI</td>\n",
       "      <td>1399.00</td>\n",
       "      <td>951.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6958265122538</th>\n",
       "      <th>DJI Ronin Serie Thumb Controller</th>\n",
       "      <td>0.205888</td>\n",
       "      <td>43.01</td>\n",
       "      <td>DJI</td>\n",
       "      <td>208.90</td>\n",
       "      <td>165.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6958265132148</th>\n",
       "      <th>DJI Matrice 600 Pro</th>\n",
       "      <td>0.964252</td>\n",
       "      <td>5495.27</td>\n",
       "      <td>DJI</td>\n",
       "      <td>5699.00</td>\n",
       "      <td>203.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221021424</th>\n",
       "      <th>Manfrotto STATIV Alu-Studio 3 298B</th>\n",
       "      <td>0.238363</td>\n",
       "      <td>61.96</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>259.94</td>\n",
       "      <td>197.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221564419</th>\n",
       "      <th>Manfrotto Joystick Stativkopf Junior</th>\n",
       "      <td>0.117573</td>\n",
       "      <td>13.99</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>118.99</td>\n",
       "      <td>105.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                  price_diff_percent  \\\n",
       "gtin_ean      title                                                                    \n",
       "18208022137   Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  ...            0.273984   \n",
       "18208200504   Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon D...            0.442456   \n",
       "18208200597   Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 10...            0.497510   \n",
       "18208200603   Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 W...            0.657143   \n",
       "18208944712   Nikon D810,AF-S 24-120 ED VR                                  0.810740   \n",
       "18208955565   Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3                0.697695   \n",
       "18208956487   Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR                      0.843662   \n",
       "18208997862   Nikon Coolpix S810C weiß                                      0.971674   \n",
       "818279018035  GoPro Hero5 Black inkl. Freevision Gimbal & Gop...            0.424096   \n",
       "875720001411  Datacolor Spyder 5 Pro                                        0.228188   \n",
       "4013904001536 Nissin i40 Nikon                                              0.301676   \n",
       "4013904001567 Nissin i40 Fujifilm                                           0.301676   \n",
       "4022243103702 Leica M-A (Typ 127) schwarz                                   0.970010   \n",
       "4022243109308 Leica M Monochrom (Typ 246)                                   0.997514   \n",
       "4022243400948 Leica Ultravid 10x42 HD-Plus                                  0.207489   \n",
       "4036957412210 Crumpler Proper Roady 4500 limited Xmas Edition               0.957775   \n",
       "4549292037715 Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M s...            0.289837   \n",
       "4549292065365 Canon PowerShot G7X Mark II schwarz                           0.987532   \n",
       "4549292078787 Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM...            0.492580   \n",
       "4549292088359 Canon LEGRIA HF-R806 Full-HD Camcorder schwarz                0.265305   \n",
       "4960759026057 Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Woc...            0.314585   \n",
       "4960999483283 Canon EF 2,0/200 L IS USM Canon EF                            0.798874   \n",
       "4960999730301 Canon EF 4,0/400 DO IS II USM Canon EF                        0.803508   \n",
       "4960999780672 Canon EF 4,0/500 L IS II USM Canon EF                         0.995642   \n",
       "4960999780696 Canon EF 4,0/600 L IS II USM Canon EF                         0.996486   \n",
       "4960999970295 Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S                    0.437186   \n",
       "6438158763821 Nokia 150 schwarz                                             0.123601   \n",
       "6438158763869 Nokia Dual Sim 216 schwarz                                    0.211962   \n",
       "6438409004383 Nokia 6 Dual SIM Smartphone copper                            0.963213   \n",
       "6438409600486 Nokia 3310 Dual Sim Mobiltelefon dunkelblau                   0.389388   \n",
       "6958265104589 DJI Osmo Universal Halterung                                 -0.310036   \n",
       "6958265107276 DJI Lightbridge 2                                             0.320229   \n",
       "6958265122538 DJI Ronin Serie Thumb Controller                              0.205888   \n",
       "6958265132148 DJI Matrice 600 Pro                                           0.964252   \n",
       "8024221021424 Manfrotto STATIV Alu-Studio 3 298B                            0.238363   \n",
       "8024221564419 Manfrotto Joystick Stativkopf Junior                          0.117573   \n",
       "\n",
       "                                                                  price_diff  \\\n",
       "gtin_ean      title                                                            \n",
       "18208022137   Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  ...      110.95   \n",
       "18208200504   Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon D...      126.10   \n",
       "18208200597   Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 10...      108.90   \n",
       "18208200603   Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 W...      115.00   \n",
       "18208944712   Nikon D810,AF-S 24-120 ED VR                           3080.00   \n",
       "18208955565   Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3         1604.00   \n",
       "18208956487   Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR               3880.00   \n",
       "18208997862   Nikon Coolpix S810C weiß                                232.23   \n",
       "818279018035  GoPro Hero5 Black inkl. Freevision Gimbal & Gop...      283.72   \n",
       "875720001411  Datacolor Spyder 5 Pro                                   34.00   \n",
       "4013904001536 Nissin i40 Nikon                                         54.00   \n",
       "4013904001567 Nissin i40 Fujifilm                                      54.00   \n",
       "4022243103702 Leica M-A (Typ 127) schwarz                            3928.54   \n",
       "4022243109308 Leica M Monochrom (Typ 246)                            7182.10   \n",
       "4022243400948 Leica Ultravid 10x42 HD-Plus                            471.00   \n",
       "4036957412210 Crumpler Proper Roady 4500 limited Xmas Edition          79.39   \n",
       "4549292037715 Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M s...       71.01   \n",
       "4549292065365 Canon PowerShot G7X Mark II schwarz                     532.28   \n",
       "4549292078787 Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM...      630.01   \n",
       "4549292088359 Canon LEGRIA HF-R806 Full-HD Camcorder schwarz           74.02   \n",
       "4960759026057 Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Woc...      330.00   \n",
       "4960999483283 Canon EF 2,0/200 L IS USM Canon EF                     4393.01   \n",
       "4960999730301 Canon EF 4,0/400 DO IS II USM Canon EF                 5222.00   \n",
       "4960999780672 Canon EF 4,0/500 L IS II USM Canon EF                  8910.00   \n",
       "4960999780696 Canon EF 4,0/600 L IS II USM Canon EF                 11060.00   \n",
       "4960999970295 Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S               87.00   \n",
       "6438158763821 Nokia 150 schwarz                                         5.19   \n",
       "6438158763869 Nokia Dual Sim 216 schwarz                               10.49   \n",
       "6438409004383 Nokia 6 Dual SIM Smartphone copper                      239.84   \n",
       "6438409600486 Nokia 3310 Dual Sim Mobiltelefon dunkelblau              22.97   \n",
       "6958265104589 DJI Osmo Universal Halterung                             -8.65   \n",
       "6958265107276 DJI Lightbridge 2                                       448.00   \n",
       "6958265122538 DJI Ronin Serie Thumb Controller                         43.01   \n",
       "6958265132148 DJI Matrice 600 Pro                                    5495.27   \n",
       "8024221021424 Manfrotto STATIV Alu-Studio 3 298B                       61.96   \n",
       "8024221564419 Manfrotto Joystick Stativkopf Junior                     13.99   \n",
       "\n",
       "                                                                      brand  \\\n",
       "gtin_ean      title                                                           \n",
       "18208022137   Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  ...      Nikon   \n",
       "18208200504   Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon D...      Nikon   \n",
       "18208200597   Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 10...      Nikon   \n",
       "18208200603   Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 W...      Nikon   \n",
       "18208944712   Nikon D810,AF-S 24-120 ED VR                            Nikon   \n",
       "18208955565   Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3          Nikon   \n",
       "18208956487   Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR                Nikon   \n",
       "18208997862   Nikon Coolpix S810C weiß                                Nikon   \n",
       "818279018035  GoPro Hero5 Black inkl. Freevision Gimbal & Gop...      GoPro   \n",
       "875720001411  Datacolor Spyder 5 Pro                              Datacolor   \n",
       "4013904001536 Nissin i40 Nikon                                       Nissin   \n",
       "4013904001567 Nissin i40 Fujifilm                                    Nissin   \n",
       "4022243103702 Leica M-A (Typ 127) schwarz                             Leica   \n",
       "4022243109308 Leica M Monochrom (Typ 246)                             Leica   \n",
       "4022243400948 Leica Ultravid 10x42 HD-Plus                            Leica   \n",
       "4036957412210 Crumpler Proper Roady 4500 limited Xmas Edition      Crumpler   \n",
       "4549292037715 Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M s...      Canon   \n",
       "4549292065365 Canon PowerShot G7X Mark II schwarz                     Canon   \n",
       "4549292078787 Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM...      Canon   \n",
       "4549292088359 Canon LEGRIA HF-R806 Full-HD Camcorder schwarz          Canon   \n",
       "4960759026057 Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Woc...      Nikon   \n",
       "4960999483283 Canon EF 2,0/200 L IS USM Canon EF                      Canon   \n",
       "4960999730301 Canon EF 4,0/400 DO IS II USM Canon EF                  Canon   \n",
       "4960999780672 Canon EF 4,0/500 L IS II USM Canon EF                   Canon   \n",
       "4960999780696 Canon EF 4,0/600 L IS II USM Canon EF                   Canon   \n",
       "4960999970295 Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S              Canon   \n",
       "6438158763821 Nokia 150 schwarz                                       Nokia   \n",
       "6438158763869 Nokia Dual Sim 216 schwarz                              Nokia   \n",
       "6438409004383 Nokia 6 Dual SIM Smartphone copper                      Nokia   \n",
       "6438409600486 Nokia 3310 Dual Sim Mobiltelefon dunkelblau             Nokia   \n",
       "6958265104589 DJI Osmo Universal Halterung                              DJI   \n",
       "6958265107276 DJI Lightbridge 2                                         DJI   \n",
       "6958265122538 DJI Ronin Serie Thumb Controller                          DJI   \n",
       "6958265132148 DJI Matrice 600 Pro                                       DJI   \n",
       "8024221021424 Manfrotto STATIV Alu-Studio 3 298B                  Manfrotto   \n",
       "8024221564419 Manfrotto Joystick Stativkopf Junior                Manfrotto   \n",
       "\n",
       "                                                                  my_price  \\\n",
       "gtin_ean      title                                                          \n",
       "18208022137   Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  ...    404.95   \n",
       "18208200504   Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon D...    285.00   \n",
       "18208200597   Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 10...    218.89   \n",
       "18208200603   Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 W...    175.00   \n",
       "18208944712   Nikon D810,AF-S 24-120 ED VR                         3799.00   \n",
       "18208955565   Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3       2299.00   \n",
       "18208956487   Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR             4599.00   \n",
       "18208997862   Nikon Coolpix S810C weiß                              239.00   \n",
       "818279018035  GoPro Hero5 Black inkl. Freevision Gimbal & Gop...    669.00   \n",
       "875720001411  Datacolor Spyder 5 Pro                                149.00   \n",
       "4013904001536 Nissin i40 Nikon                                      179.00   \n",
       "4013904001567 Nissin i40 Fujifilm                                   179.00   \n",
       "4022243103702 Leica M-A (Typ 127) schwarz                          4050.00   \n",
       "4022243109308 Leica M Monochrom (Typ 246)                          7200.00   \n",
       "4022243400948 Leica Ultravid 10x42 HD-Plus                         2270.00   \n",
       "4036957412210 Crumpler Proper Roady 4500 limited Xmas Edition        82.89   \n",
       "4549292037715 Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M s...    245.00   \n",
       "4549292065365 Canon PowerShot G7X Mark II schwarz                   539.00   \n",
       "4549292078787 Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM...   1279.00   \n",
       "4549292088359 Canon LEGRIA HF-R806 Full-HD Camcorder schwarz        279.00   \n",
       "4960759026057 Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Woc...   1049.00   \n",
       "4960999483283 Canon EF 2,0/200 L IS USM Canon EF                   5499.00   \n",
       "4960999730301 Canon EF 4,0/400 DO IS II USM Canon EF               6499.00   \n",
       "4960999780672 Canon EF 4,0/500 L IS II USM Canon EF                8949.00   \n",
       "4960999780696 Canon EF 4,0/600 L IS II USM Canon EF               11099.00   \n",
       "4960999970295 Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S            199.00   \n",
       "6438158763821 Nokia 150 schwarz                                      41.99   \n",
       "6438158763869 Nokia Dual Sim 216 schwarz                             49.49   \n",
       "6438409004383 Nokia 6 Dual SIM Smartphone copper                    249.00   \n",
       "6438409600486 Nokia 3310 Dual Sim Mobiltelefon dunkelblau            58.99   \n",
       "6958265104589 DJI Osmo Universal Halterung                           27.90   \n",
       "6958265107276 DJI Lightbridge 2                                    1399.00   \n",
       "6958265122538 DJI Ronin Serie Thumb Controller                      208.90   \n",
       "6958265132148 DJI Matrice 600 Pro                                  5699.00   \n",
       "8024221021424 Manfrotto STATIV Alu-Studio 3 298B                    259.94   \n",
       "8024221564419 Manfrotto Joystick Stativkopf Junior                  118.99   \n",
       "\n",
       "                                                                  min_price  \n",
       "gtin_ean      title                                                          \n",
       "18208022137   Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX  ...     294.00  \n",
       "18208200504   Nikon AF-S DX 4,0-5,6/55-200 G ED VR II Nikon D...     158.90  \n",
       "18208200597   Nikon AF-P DX 3,5-5,6/18-55 G VR Nikon DX  | 10...     109.99  \n",
       "18208200603   Nikon AF-P DX 3,5-5,6/18-55 G Nikon DX  | 100 W...      60.00  \n",
       "18208944712   Nikon D810,AF-S 24-120 ED VR                           719.00  \n",
       "18208955565   Nikon D7500 + AF-S DX NIKKOR 18-300 VR 3.5-6.3         695.00  \n",
       "18208956487   Nikon D850 Kit AF-S 24-120 mm 1:4G ED VR               719.00  \n",
       "18208997862   Nikon Coolpix S810C weiß                                 6.77  \n",
       "818279018035  GoPro Hero5 Black inkl. Freevision Gimbal & Gop...     385.28  \n",
       "875720001411  Datacolor Spyder 5 Pro                                 115.00  \n",
       "4013904001536 Nissin i40 Nikon                                       125.00  \n",
       "4013904001567 Nissin i40 Fujifilm                                    125.00  \n",
       "4022243103702 Leica M-A (Typ 127) schwarz                            121.46  \n",
       "4022243109308 Leica M Monochrom (Typ 246)                             17.90  \n",
       "4022243400948 Leica Ultravid 10x42 HD-Plus                          1799.00  \n",
       "4036957412210 Crumpler Proper Roady 4500 limited Xmas Edition          3.50  \n",
       "4549292037715 Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M s...     173.99  \n",
       "4549292065365 Canon PowerShot G7X Mark II schwarz                      6.72  \n",
       "4549292078787 Canon EOS M5 Kit inkl. 3,5-6,3/18-150 mm IS STM...     648.99  \n",
       "4549292088359 Canon LEGRIA HF-R806 Full-HD Camcorder schwarz         204.98  \n",
       "4960759026057 Nikon AF-S 4,0/24-120 ED VR Nikon FX  | 100 Woc...     719.00  \n",
       "4960999483283 Canon EF 2,0/200 L IS USM Canon EF                    1105.99  \n",
       "4960999730301 Canon EF 4,0/400 DO IS II USM Canon EF                1277.00  \n",
       "4960999780672 Canon EF 4,0/500 L IS II USM Canon EF                   39.00  \n",
       "4960999780696 Canon EF 4,0/600 L IS II USM Canon EF                   39.00  \n",
       "4960999970295 Canon EF-S 3,5-5,6/18-55 IS STM Canon EF-S             112.00  \n",
       "6438158763821 Nokia 150 schwarz                                       36.80  \n",
       "6438158763869 Nokia Dual Sim 216 schwarz                              39.00  \n",
       "6438409004383 Nokia 6 Dual SIM Smartphone copper                       9.16  \n",
       "6438409600486 Nokia 3310 Dual Sim Mobiltelefon dunkelblau             36.02  \n",
       "6958265104589 DJI Osmo Universal Halterung                            36.55  \n",
       "6958265107276 DJI Lightbridge 2                                      951.00  \n",
       "6958265122538 DJI Ronin Serie Thumb Controller                       165.89  \n",
       "6958265132148 DJI Matrice 600 Pro                                    203.73  \n",
       "8024221021424 Manfrotto STATIV Alu-Studio 3 298B                     197.98  \n",
       "8024221564419 Manfrotto Joystick Stativkopf Junior                   105.00  "
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "konk_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1114cd9b0>"
      ]
     },
     "execution_count": 383,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oMjJSn3/+uf70pz8pLS1N/fv3V4sWLfTWW29p4cKFstvtqlKlinubypUrKz09XS6XSzab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\nADCEYAUAAGAIwQoAAMAQghUAAIAh/w/TASlTk1VSUAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1114da6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Aufgeschlüsselt nach Brand\n",
    "### Durchschnittliche Preisabweichung(mein und guenstig) pro Brand => Verteilung\n",
    "\n",
    "konk_data.groupby(['brand']).mean()['price_diff'].plot(kind='bar', figsize=(10,6),grid=True, title=\"Price Difference Distribution\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1115be208>"
      ]
     },
     "execution_count": 386,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YryNJ0VdcXhO7nz/aV3zZuW0S7SvuaJ/3BAcHX3ZdvqGpc+fO2rx5syIiIuR2uxUZGamF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\nEwAAgAFCEwAAgIH/B6jZVgeH2HpGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11153de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "konk_data.groupby(['brand']).mean()['price_diff_percent'].plot(kind='bar', figsize=(10,6),grid=True, title=\"Price Difference Distribution\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wettbewerberinfos\n",
    "bsp Produkt: 4960999483283"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_wettbewerb= df2[df2['gtin_ean']==4960999483283].seller"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "208                 amazon\n",
       "213               TOPdeals\n",
       "216         KÖSTER MÜNSTER\n",
       "230         FOXTROT MARINE\n",
       "233              astroshop\n",
       "236             ELECTRONIS\n",
       "242             SEI DESIGN\n",
       "245    schreiner-modellbau\n",
       "249            nrsolutions\n",
       "255          luckyshopping\n",
       "Name: seller, dtype: object"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_wettbewerb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_TOPdeals= df2[df2['seller']== 'TOPdeals']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>gtin_ean</th>\n",
       "      <th>brand</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>min_price</th>\n",
       "      <th>price</th>\n",
       "      <th>max_price</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>...</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>suggested_retail_price</th>\n",
       "      <th>url</th>\n",
       "      <th>extra_one</th>\n",
       "      <th>extra_two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>68625</td>\n",
       "      <td>4549292010176</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9521B005</td>\n",
       "      <td>Canon EF 3,5-5,6/24-105 IS STM Canon EF</td>\n",
       "      <td>360.952381</td>\n",
       "      <td>379.00</td>\n",
       "      <td>397.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>410.64</td>\n",
       "      <td>410.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>505.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00NLBGCYI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>12863</td>\n",
       "      <td>4960999189949</td>\n",
       "      <td>Canon</td>\n",
       "      <td>8806A007</td>\n",
       "      <td>Canon EF 4,0/17-40 L USM Canon EF</td>\n",
       "      <td>659.933333</td>\n",
       "      <td>692.93</td>\n",
       "      <td>727.5765</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>748.92</td>\n",
       "      <td>748.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>819.00</td>\n",
       "      <td>http://www.amazon.de/dp/B0000C4GAM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>12466</td>\n",
       "      <td>4960999207322</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9322A006</td>\n",
       "      <td>Canon EF 3,5-5,6/28-300 L IS USM Canon EF</td>\n",
       "      <td>2189.523810</td>\n",
       "      <td>2299.00</td>\n",
       "      <td>2413.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2419.98</td>\n",
       "      <td>2419.98</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2659.00</td>\n",
       "      <td>http://www.amazon.de/dp/B0001G8VFY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>61828</td>\n",
       "      <td>4549292037692</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0570C005</td>\n",
       "      <td>Canon EF 1,8/50 STM Canon EF</td>\n",
       "      <td>106.190476</td>\n",
       "      <td>111.50</td>\n",
       "      <td>117.0750</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>131.80</td>\n",
       "      <td>131.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>129.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00XKSBMQA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>55506</td>\n",
       "      <td>4960999845791</td>\n",
       "      <td>Canon</td>\n",
       "      <td>5178B005</td>\n",
       "      <td>Canon EF 2,0/35 IS USM Canon EF</td>\n",
       "      <td>453.323810</td>\n",
       "      <td>475.99</td>\n",
       "      <td>499.7895</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>510.06</td>\n",
       "      <td>510.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00A33C4A8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47500</td>\n",
       "      <td>4960999780719</td>\n",
       "      <td>Canon</td>\n",
       "      <td>5175B005</td>\n",
       "      <td>Canon EF 2,8/24-70 L II USM Canon EF</td>\n",
       "      <td>1694.285714</td>\n",
       "      <td>1779.00</td>\n",
       "      <td>1867.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1884.48</td>\n",
       "      <td>1884.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2319.00</td>\n",
       "      <td>http://www.amazon.de/dp/B0076FS09A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>12669</td>\n",
       "      <td>4960999213019</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2515A012</td>\n",
       "      <td>Canon EF 1,4/50 USM Canon EF</td>\n",
       "      <td>312.380952</td>\n",
       "      <td>328.00</td>\n",
       "      <td>344.4000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>371.41</td>\n",
       "      <td>371.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>449.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00009XVCZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>63807</td>\n",
       "      <td>4549292009903</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9518B005</td>\n",
       "      <td>Canon EF 4,0/16-35 L IS USM Canon EF</td>\n",
       "      <td>932.380952</td>\n",
       "      <td>979.00</td>\n",
       "      <td>1027.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>994.81</td>\n",
       "      <td>994.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1275.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00KAQX65A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>47502</td>\n",
       "      <td>4960999845753</td>\n",
       "      <td>Canon</td>\n",
       "      <td>5345B005</td>\n",
       "      <td>Canon EF 2,8/24 IS USM Canon EF</td>\n",
       "      <td>454.276190</td>\n",
       "      <td>476.99</td>\n",
       "      <td>500.8395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>510.06</td>\n",
       "      <td>510.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.00</td>\n",
       "      <td>http://www.amazon.de/dp/B0077NPEEA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>12690</td>\n",
       "      <td>4960999212821</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2518A012</td>\n",
       "      <td>Canon EF 2,0/100 USM Canon EF</td>\n",
       "      <td>404.657143</td>\n",
       "      <td>424.89</td>\n",
       "      <td>446.1345</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>466.42</td>\n",
       "      <td>466.42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>535.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00007EE8G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>12775</td>\n",
       "      <td>4960999213804</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2530A017</td>\n",
       "      <td>Canon EF 4,0/300 L IS USM Canon EF</td>\n",
       "      <td>1189.523810</td>\n",
       "      <td>1249.00</td>\n",
       "      <td>1311.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1382.88</td>\n",
       "      <td>1382.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1579.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00005QF6R</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>55505</td>\n",
       "      <td>4960999845807</td>\n",
       "      <td>Canon</td>\n",
       "      <td>6313B005</td>\n",
       "      <td>Canon EF 4,0/24-70 L IS USM Canon EF</td>\n",
       "      <td>741.904762</td>\n",
       "      <td>779.00</td>\n",
       "      <td>817.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>800.20</td>\n",
       "      <td>800.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>979.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00A2I1D56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>33221</td>\n",
       "      <td>4960999635170</td>\n",
       "      <td>Canon</td>\n",
       "      <td>3554B005</td>\n",
       "      <td>Canon EF 2,8/100 L Makro IS USM Canon EF</td>\n",
       "      <td>806.666667</td>\n",
       "      <td>847.00</td>\n",
       "      <td>889.3500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>879.08</td>\n",
       "      <td>879.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1095.00</td>\n",
       "      <td>http://www.amazon.de/dp/B002NEFLD2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>12741</td>\n",
       "      <td>4960999354989</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1258B005</td>\n",
       "      <td>Canon EF 4,0/70-200 L IS USM Canon EF</td>\n",
       "      <td>1065.714286</td>\n",
       "      <td>1119.00</td>\n",
       "      <td>1174.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1235.86</td>\n",
       "      <td>1235.86</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1479.00</td>\n",
       "      <td>http://www.amazon.de/dp/B000I2J2SG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>47501</td>\n",
       "      <td>4960999845746</td>\n",
       "      <td>Canon</td>\n",
       "      <td>5179B005</td>\n",
       "      <td>Canon EF 2,8/28 IS USM Canon EF</td>\n",
       "      <td>400.076190</td>\n",
       "      <td>420.08</td>\n",
       "      <td>441.0840</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>447.10</td>\n",
       "      <td>447.10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>549.00</td>\n",
       "      <td>http://www.amazon.de/dp/B0078MYVSU</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>78074</td>\n",
       "      <td>4549292037708</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0571C005</td>\n",
       "      <td>Canon EF 4-5,6/70-300 IS II USM Canon EF</td>\n",
       "      <td>471.428571</td>\n",
       "      <td>495.00</td>\n",
       "      <td>519.7500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>493.49</td>\n",
       "      <td>493.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>579.00</td>\n",
       "      <td>http://www.amazon.de/dp/B007VMAL68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>72167</td>\n",
       "      <td>4549292010350</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9524B005</td>\n",
       "      <td>Canon EF 4,5-5,6/100-400 L IS II USM Canon EF</td>\n",
       "      <td>1884.761905</td>\n",
       "      <td>1979.00</td>\n",
       "      <td>2077.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2027.96</td>\n",
       "      <td>2027.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2619.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00PGNMXQA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>12662</td>\n",
       "      <td>4960999213743</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2520A015</td>\n",
       "      <td>Canon EF 2,0/135 L USM Canon EF</td>\n",
       "      <td>903.809524</td>\n",
       "      <td>949.00</td>\n",
       "      <td>996.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>949.83</td>\n",
       "      <td>949.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1109.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00007EE8H</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>37049</td>\n",
       "      <td>4960999575070</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2751B005</td>\n",
       "      <td>Canon EF 2,8/70-200 L IS II USM weiß Canon EF</td>\n",
       "      <td>1884.761905</td>\n",
       "      <td>1979.00</td>\n",
       "      <td>2077.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2062.41</td>\n",
       "      <td>2062.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2539.00</td>\n",
       "      <td>http://www.amazon.de/dp/B0033567D8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>72694</td>\n",
       "      <td>4549292037722</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0573C005</td>\n",
       "      <td>Canon EF 2,8/16-35 L III USM Canon EF</td>\n",
       "      <td>2095.228571</td>\n",
       "      <td>2199.99</td>\n",
       "      <td>2309.9895</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2166.59</td>\n",
       "      <td>2166.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2625.00</td>\n",
       "      <td>http://www.amazon.de/dp/B01KZ4XPCK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>72693</td>\n",
       "      <td>4549292063615</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1380C005</td>\n",
       "      <td>Canon EF 4,0/24-105 L IS II USM Canon EF</td>\n",
       "      <td>1075.238095</td>\n",
       "      <td>1129.00</td>\n",
       "      <td>1185.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1105.96</td>\n",
       "      <td>1105.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1259.00</td>\n",
       "      <td>http://www.amazon.de/dp/B01KZ4XLUQ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>24497</td>\n",
       "      <td>4960999483283</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2297B005</td>\n",
       "      <td>Canon EF 2,0/200 L IS USM Canon EF</td>\n",
       "      <td>5237.142857</td>\n",
       "      <td>5499.00</td>\n",
       "      <td>5773.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1105.99</td>\n",
       "      <td>1105.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1476.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00007EE9B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BUY BOX!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>12720</td>\n",
       "      <td>4960999354798</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1242B005</td>\n",
       "      <td>Canon EF-S 2,8/17-55 IS USM Canon EF-S</td>\n",
       "      <td>705.704762</td>\n",
       "      <td>740.99</td>\n",
       "      <td>778.0395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>800.52</td>\n",
       "      <td>800.52</td>\n",
       "      <td>0.0</td>\n",
       "      <td>919.00</td>\n",
       "      <td>http://www.amazon.de/dp/B000EOTZ7G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>72502</td>\n",
       "      <td>4549292063127</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1362C005</td>\n",
       "      <td>Canon EF-M 3,5/28 IS STM Makro Canon EF-M</td>\n",
       "      <td>275.238095</td>\n",
       "      <td>289.00</td>\n",
       "      <td>303.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>287.59</td>\n",
       "      <td>287.59</td>\n",
       "      <td>0.0</td>\n",
       "      <td>369.00</td>\n",
       "      <td>http://www.amazon.de/dp/B01FH4H30I</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>78022</td>\n",
       "      <td>4549292063455</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1375C005</td>\n",
       "      <td>Canon EF-M  3.5-6.3/18-150 IS STM schwarz Cano...</td>\n",
       "      <td>399.047619</td>\n",
       "      <td>419.00</td>\n",
       "      <td>439.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>403.84</td>\n",
       "      <td>403.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>499.00</td>\n",
       "      <td>http://www.amazon.de/dp/B01LWVAN26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>33228</td>\n",
       "      <td>4960999635262</td>\n",
       "      <td>Canon</td>\n",
       "      <td>3560B005</td>\n",
       "      <td>Canon EF-S 3,5-5,6/15-85 IS USM schwarz Canon ...</td>\n",
       "      <td>623.704762</td>\n",
       "      <td>654.89</td>\n",
       "      <td>687.6345</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>696.85</td>\n",
       "      <td>696.85</td>\n",
       "      <td>0.0</td>\n",
       "      <td>799.00</td>\n",
       "      <td>http://www.amazon.de/dp/B002NEFLDM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>81480</td>\n",
       "      <td>4549292090130</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2220C005</td>\n",
       "      <td>Canon EF-S 2,8/35 IS STM Makro Canon EF-S</td>\n",
       "      <td>408.571429</td>\n",
       "      <td>429.00</td>\n",
       "      <td>450.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>369.20</td>\n",
       "      <td>369.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>429.00</td>\n",
       "      <td>http://www.amazon.de/dp/B06Y2LQCP3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>98570</td>\n",
       "      <td>4549292010220</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9522B005</td>\n",
       "      <td>Canon EF-S 2,8/24 STM Canon EF-S</td>\n",
       "      <td>137.038095</td>\n",
       "      <td>143.89</td>\n",
       "      <td>151.0845</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>162.07</td>\n",
       "      <td>162.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>189.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00NLBGD1A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>63808</td>\n",
       "      <td>4549292010152</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9519B005</td>\n",
       "      <td>Canon EF-S 4,5-5,6/10-18 IS STM Canon EF-S</td>\n",
       "      <td>211.514286</td>\n",
       "      <td>222.09</td>\n",
       "      <td>233.1945</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>244.97</td>\n",
       "      <td>244.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>259.00</td>\n",
       "      <td>http://www.amazon.de/dp/B00KAQX66Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>67467</td>\n",
       "      <td>4549292037715</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0572C005</td>\n",
       "      <td>Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M ...</td>\n",
       "      <td>233.333333</td>\n",
       "      <td>245.00</td>\n",
       "      <td>257.2500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>261.50</td>\n",
       "      <td>261.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>315.00</td>\n",
       "      <td>http://www.amazon.de/dp/B016JZFX0G</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>85028</td>\n",
       "      <td>4022243403185</td>\n",
       "      <td>Leica</td>\n",
       "      <td>40318</td>\n",
       "      <td>Leica TRINOVID 8x42 HD</td>\n",
       "      <td>1038.095238</td>\n",
       "      <td>1090.00</td>\n",
       "      <td>1144.5000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01BLFHYEW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1701</th>\n",
       "      <td>69027</td>\n",
       "      <td>4022243400948</td>\n",
       "      <td>Leica</td>\n",
       "      <td>40094</td>\n",
       "      <td>Leica Ultravid 10x42 HD-Plus</td>\n",
       "      <td>2161.904762</td>\n",
       "      <td>2270.00</td>\n",
       "      <td>2383.5000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2200.00</td>\n",
       "      <td>2200.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00TYNWLYM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>38802</td>\n",
       "      <td>8024221564419</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>324RC2</td>\n",
       "      <td>Manfrotto Joystick Stativkopf Junior</td>\n",
       "      <td>113.323810</td>\n",
       "      <td>118.99</td>\n",
       "      <td>124.9395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>104.65</td>\n",
       "      <td>104.65</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128.17</td>\n",
       "      <td>http://www.amazon.de/dp/B003CRGZJS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1723</th>\n",
       "      <td>39594</td>\n",
       "      <td>8024221579871</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>504HD</td>\n",
       "      <td>Manfrotto 504HD Pro Fluid Videokopf</td>\n",
       "      <td>332.380952</td>\n",
       "      <td>349.00</td>\n",
       "      <td>366.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>350.20</td>\n",
       "      <td>350.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>425.42</td>\n",
       "      <td>http://www.amazon.de/dp/B003VQUEXI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>38801</td>\n",
       "      <td>8024221572544</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>327RC2</td>\n",
       "      <td>Manfrotto Joystick Stativkopf 327RC2</td>\n",
       "      <td>131.323810</td>\n",
       "      <td>137.89</td>\n",
       "      <td>144.7845</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>149.28</td>\n",
       "      <td>149.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>191.80</td>\n",
       "      <td>http://www.amazon.de/dp/B003CRH1P0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1732</th>\n",
       "      <td>39431</td>\n",
       "      <td>8024221572155</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>1314B</td>\n",
       "      <td>Manfrotto Hintergrund-Kit 1314B</td>\n",
       "      <td>237.142857</td>\n",
       "      <td>249.00</td>\n",
       "      <td>261.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>253.20</td>\n",
       "      <td>253.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>301.08</td>\n",
       "      <td>http://www.amazon.de/dp/B0026TJDN8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1747</th>\n",
       "      <td>69026</td>\n",
       "      <td>4022243400931</td>\n",
       "      <td>Leica</td>\n",
       "      <td>40093</td>\n",
       "      <td>Leica Ultravid 8x42 HD-Plus</td>\n",
       "      <td>2047.619048</td>\n",
       "      <td>2150.00</td>\n",
       "      <td>2257.5000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2190.00</td>\n",
       "      <td>2190.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00U4ZELG0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1771</th>\n",
       "      <td>39440</td>\n",
       "      <td>8024221572131</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>546GB</td>\n",
       "      <td>Manfrotto STATIV Pro 546GB</td>\n",
       "      <td>480.104762</td>\n",
       "      <td>504.11</td>\n",
       "      <td>529.3155</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>566.73</td>\n",
       "      <td>566.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>630.14</td>\n",
       "      <td>http://www.amazon.de/dp/B003SAM1FG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BUY BOX!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1773</th>\n",
       "      <td>39441</td>\n",
       "      <td>8024221572124</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>546B</td>\n",
       "      <td>Manfrotto STATIV Pro 546B</td>\n",
       "      <td>360.590476</td>\n",
       "      <td>378.62</td>\n",
       "      <td>397.5510</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>364.69</td>\n",
       "      <td>364.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>498.84</td>\n",
       "      <td>http://www.amazon.de/dp/B003FGWKIQ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1799</th>\n",
       "      <td>39721</td>\n",
       "      <td>8024221551358</td>\n",
       "      <td>Manfrotto</td>\n",
       "      <td>1004BAC</td>\n",
       "      <td>Manfrotto STATIV Master AC schwarz</td>\n",
       "      <td>89.323810</td>\n",
       "      <td>93.79</td>\n",
       "      <td>98.4795</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>125.04</td>\n",
       "      <td>125.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>139.28</td>\n",
       "      <td>http://www.amazon.de/dp/B0023RRPE2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>16700</td>\n",
       "      <td>18208026319</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>FTW00401</td>\n",
       "      <td>Nikon 62-52 Adapter BR-5</td>\n",
       "      <td>36.190476</td>\n",
       "      <td>38.00</td>\n",
       "      <td>39.9000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>52.67</td>\n",
       "      <td>52.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00009R8RV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>74167</td>\n",
       "      <td>18208948949</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VNA911E1</td>\n",
       "      <td>Nikon Coolpix A900 silber</td>\n",
       "      <td>303.809524</td>\n",
       "      <td>319.00</td>\n",
       "      <td>334.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>340.79</td>\n",
       "      <td>340.79</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B06XCL26SK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2139</th>\n",
       "      <td>74172</td>\n",
       "      <td>18208949380</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VNA930E1</td>\n",
       "      <td>Nikon Coolpix B700 schwarz</td>\n",
       "      <td>399.047619</td>\n",
       "      <td>419.00</td>\n",
       "      <td>439.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>433.94</td>\n",
       "      <td>433.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>509.00</td>\n",
       "      <td>http://www.amazon.de/dp/B01C672QQ0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2141</th>\n",
       "      <td>74166</td>\n",
       "      <td>18208947171</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VNA910E1</td>\n",
       "      <td>Nikon Coolpix A900 schwarz</td>\n",
       "      <td>303.809524</td>\n",
       "      <td>319.00</td>\n",
       "      <td>334.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>340.18</td>\n",
       "      <td>340.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>399.00</td>\n",
       "      <td>http://www.amazon.de/dp/B01C672JPS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2188</th>\n",
       "      <td>85573</td>\n",
       "      <td>18208954261</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VQA073K001</td>\n",
       "      <td>Nikon Coolpix W300 Holiday Kit camouflage</td>\n",
       "      <td>380.000000</td>\n",
       "      <td>399.00</td>\n",
       "      <td>418.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>428.79</td>\n",
       "      <td>428.79</td>\n",
       "      <td>0.0</td>\n",
       "      <td>449.00</td>\n",
       "      <td>http://www.amazon.de/dp/B071W9NDXD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2195</th>\n",
       "      <td>85572</td>\n",
       "      <td>18208954285</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VQA072K001</td>\n",
       "      <td>Nikon Coolpix W300 Holiday Kit gelb</td>\n",
       "      <td>380.000000</td>\n",
       "      <td>399.00</td>\n",
       "      <td>418.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>427.13</td>\n",
       "      <td>427.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>449.00</td>\n",
       "      <td>http://www.amazon.de/dp/B071WBNW23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2202</th>\n",
       "      <td>77016</td>\n",
       "      <td>18208952205</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VQA011E1</td>\n",
       "      <td>Nikon Coolpix W100 blau</td>\n",
       "      <td>132.276190</td>\n",
       "      <td>138.89</td>\n",
       "      <td>145.8345</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>157.70</td>\n",
       "      <td>157.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01JJJ7JZ6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2218</th>\n",
       "      <td>74174</td>\n",
       "      <td>18208949021</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VNA951E1</td>\n",
       "      <td>Nikon Coolpix B500 schwarz</td>\n",
       "      <td>237.133333</td>\n",
       "      <td>248.99</td>\n",
       "      <td>261.4395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>272.34</td>\n",
       "      <td>272.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01C672SZ4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2232</th>\n",
       "      <td>77018</td>\n",
       "      <td>18208952236</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VQA013E1</td>\n",
       "      <td>Nikon Coolpix W100 gelb</td>\n",
       "      <td>129.523810</td>\n",
       "      <td>136.00</td>\n",
       "      <td>142.8000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>156.17</td>\n",
       "      <td>156.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B06XCLVTBL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2256</th>\n",
       "      <td>85570</td>\n",
       "      <td>18208954254</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VQA070K001</td>\n",
       "      <td>Nikon Coolpix W300 Holiday Kit schwarz</td>\n",
       "      <td>380.000000</td>\n",
       "      <td>399.00</td>\n",
       "      <td>418.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>421.24</td>\n",
       "      <td>421.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>449.00</td>\n",
       "      <td>http://www.amazon.de/dp/B071W9N2Y5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2279</th>\n",
       "      <td>85571</td>\n",
       "      <td>18208954278</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VQA071K001</td>\n",
       "      <td>Nikon Coolpix W300 Holiday Kit orange</td>\n",
       "      <td>380.000000</td>\n",
       "      <td>399.00</td>\n",
       "      <td>418.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>427.13</td>\n",
       "      <td>427.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>449.00</td>\n",
       "      <td>http://www.amazon.de/dp/B071FRMVCY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2302</th>\n",
       "      <td>74895</td>\n",
       "      <td>18208952076</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VBA500K001</td>\n",
       "      <td>Nikon D5600 Kit AF-P DX 18-55 VR</td>\n",
       "      <td>694.276190</td>\n",
       "      <td>728.99</td>\n",
       "      <td>765.4395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>783.46</td>\n",
       "      <td>783.46</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01MQGO8V6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2377</th>\n",
       "      <td>59501</td>\n",
       "      <td>182089997206</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VBA370K002</td>\n",
       "      <td>Nikon D5300,AF-S DX 18-140 G ED VR schwarz</td>\n",
       "      <td>713.228571</td>\n",
       "      <td>748.89</td>\n",
       "      <td>786.3345</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>978.27</td>\n",
       "      <td>978.27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00FYV5V04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2389</th>\n",
       "      <td>60945</td>\n",
       "      <td>4938574040015</td>\n",
       "      <td>Nissin</td>\n",
       "      <td>NI-HI40C</td>\n",
       "      <td>Nissin i40 Canon</td>\n",
       "      <td>170.476190</td>\n",
       "      <td>179.00</td>\n",
       "      <td>187.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>183.18</td>\n",
       "      <td>183.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00JDIDCFU</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2441</th>\n",
       "      <td>60948</td>\n",
       "      <td>4013904001543</td>\n",
       "      <td>Nissin</td>\n",
       "      <td>NI-HI40s</td>\n",
       "      <td>Nissin i40 Sony Multi Interface</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>168.00</td>\n",
       "      <td>176.4000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>188.29</td>\n",
       "      <td>188.29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01F5JAFTG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2448</th>\n",
       "      <td>66259</td>\n",
       "      <td>4013904001567</td>\n",
       "      <td>Nissin</td>\n",
       "      <td>NI-HI40F</td>\n",
       "      <td>Nissin i40 Fujifilm</td>\n",
       "      <td>170.476190</td>\n",
       "      <td>179.00</td>\n",
       "      <td>187.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>185.50</td>\n",
       "      <td>185.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00LQSWS28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>72352</td>\n",
       "      <td>4013904001819</td>\n",
       "      <td>Nissin</td>\n",
       "      <td>NI-HI60S</td>\n",
       "      <td>Nissin i60A Sony Multi Interface</td>\n",
       "      <td>221.247619</td>\n",
       "      <td>232.31</td>\n",
       "      <td>243.9255</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>269.91</td>\n",
       "      <td>269.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01DL3FFG6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2780</th>\n",
       "      <td>73473</td>\n",
       "      <td>4549292010237</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9523B005</td>\n",
       "      <td>Canon EF 1,4/35 L USM II Canon EF</td>\n",
       "      <td>1789.523810</td>\n",
       "      <td>1879.00</td>\n",
       "      <td>1972.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1893.47</td>\n",
       "      <td>1893.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2329.00</td>\n",
       "      <td>http://www.amazon.de/dp/B014IO02DS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2793</th>\n",
       "      <td>74168</td>\n",
       "      <td>18208949182</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>VNA960E1</td>\n",
       "      <td>Nikon Coolpix A300 silber</td>\n",
       "      <td>135.704762</td>\n",
       "      <td>142.49</td>\n",
       "      <td>149.6145</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>159.67</td>\n",
       "      <td>159.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01C672M7S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2805</th>\n",
       "      <td>12735</td>\n",
       "      <td>4960999354972</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1257B005</td>\n",
       "      <td>Canon EF 1,2/50 L USM Canon EF</td>\n",
       "      <td>1313.333333</td>\n",
       "      <td>1379.00</td>\n",
       "      <td>1447.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1422.00</td>\n",
       "      <td>1422.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1725.00</td>\n",
       "      <td>http://www.amazon.de/dp/B000I2J2S6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>123 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      product_id       gtin_ean      brand manufacturer_nr  \\\n",
       "12         68625  4549292010176      Canon        9521B005   \n",
       "14         12863  4960999189949      Canon        8806A007   \n",
       "19         12466  4960999207322      Canon        9322A006   \n",
       "26         61828  4549292037692      Canon        0570C005   \n",
       "44         55506  4960999845791      Canon        5178B005   \n",
       "47         47500  4960999780719      Canon        5175B005   \n",
       "50         12669  4960999213019      Canon        2515A012   \n",
       "53         63807  4549292009903      Canon        9518B005   \n",
       "54         47502  4960999845753      Canon        5345B005   \n",
       "67         12690  4960999212821      Canon        2518A012   \n",
       "82         12775  4960999213804      Canon        2530A017   \n",
       "90         55505  4960999845807      Canon        6313B005   \n",
       "92         33221  4960999635170      Canon        3554B005   \n",
       "120        12741  4960999354989      Canon        1258B005   \n",
       "140        47501  4960999845746      Canon        5179B005   \n",
       "142        78074  4549292037708      Canon        0571C005   \n",
       "150        72167  4549292010350      Canon        9524B005   \n",
       "159        12662  4960999213743      Canon        2520A015   \n",
       "163        37049  4960999575070      Canon        2751B005   \n",
       "169        72694  4549292037722      Canon        0573C005   \n",
       "186        72693  4549292063615      Canon        1380C005   \n",
       "213        24497  4960999483283      Canon        2297B005   \n",
       "246        12720  4960999354798      Canon        1242B005   \n",
       "247        72502  4549292063127      Canon        1362C005   \n",
       "258        78022  4549292063455      Canon        1375C005   \n",
       "276        33228  4960999635262      Canon        3560B005   \n",
       "285        81480  4549292090130      Canon        2220C005   \n",
       "290        98570  4549292010220      Canon        9522B005   \n",
       "295        63808  4549292010152      Canon        9519B005   \n",
       "297        67467  4549292037715      Canon        0572C005   \n",
       "...          ...            ...        ...             ...   \n",
       "1699       85028  4022243403185      Leica           40318   \n",
       "1701       69027  4022243400948      Leica           40094   \n",
       "1721       38802  8024221564419  Manfrotto          324RC2   \n",
       "1723       39594  8024221579871  Manfrotto           504HD   \n",
       "1725       38801  8024221572544  Manfrotto          327RC2   \n",
       "1732       39431  8024221572155  Manfrotto           1314B   \n",
       "1747       69026  4022243400931      Leica           40093   \n",
       "1771       39440  8024221572131  Manfrotto           546GB   \n",
       "1773       39441  8024221572124  Manfrotto            546B   \n",
       "1799       39721  8024221551358  Manfrotto         1004BAC   \n",
       "1837       16700    18208026319      Nikon        FTW00401   \n",
       "1998       74167    18208948949      Nikon        VNA911E1   \n",
       "2139       74172    18208949380      Nikon        VNA930E1   \n",
       "2141       74166    18208947171      Nikon        VNA910E1   \n",
       "2188       85573    18208954261      Nikon      VQA073K001   \n",
       "2195       85572    18208954285      Nikon      VQA072K001   \n",
       "2202       77016    18208952205      Nikon        VQA011E1   \n",
       "2218       74174    18208949021      Nikon        VNA951E1   \n",
       "2232       77018    18208952236      Nikon        VQA013E1   \n",
       "2256       85570    18208954254      Nikon      VQA070K001   \n",
       "2279       85571    18208954278      Nikon      VQA071K001   \n",
       "2302       74895    18208952076      Nikon      VBA500K001   \n",
       "2377       59501   182089997206      Nikon      VBA370K002   \n",
       "2389       60945  4938574040015     Nissin        NI-HI40C   \n",
       "2441       60948  4013904001543     Nissin        NI-HI40s   \n",
       "2448       66259  4013904001567     Nissin        NI-HI40F   \n",
       "2495       72352  4013904001819     Nissin        NI-HI60S   \n",
       "2780       73473  4549292010237      Canon        9523B005   \n",
       "2793       74168    18208949182      Nikon        VNA960E1   \n",
       "2805       12735  4960999354972      Canon        1257B005   \n",
       "\n",
       "                                                  title    min_price    price  \\\n",
       "12              Canon EF 3,5-5,6/24-105 IS STM Canon EF   360.952381   379.00   \n",
       "14                    Canon EF 4,0/17-40 L USM Canon EF   659.933333   692.93   \n",
       "19            Canon EF 3,5-5,6/28-300 L IS USM Canon EF  2189.523810  2299.00   \n",
       "26                         Canon EF 1,8/50 STM Canon EF   106.190476   111.50   \n",
       "44                      Canon EF 2,0/35 IS USM Canon EF   453.323810   475.99   \n",
       "47                 Canon EF 2,8/24-70 L II USM Canon EF  1694.285714  1779.00   \n",
       "50                         Canon EF 1,4/50 USM Canon EF   312.380952   328.00   \n",
       "53                 Canon EF 4,0/16-35 L IS USM Canon EF   932.380952   979.00   \n",
       "54                      Canon EF 2,8/24 IS USM Canon EF   454.276190   476.99   \n",
       "67                        Canon EF 2,0/100 USM Canon EF   404.657143   424.89   \n",
       "82                   Canon EF 4,0/300 L IS USM Canon EF  1189.523810  1249.00   \n",
       "90                 Canon EF 4,0/24-70 L IS USM Canon EF   741.904762   779.00   \n",
       "92             Canon EF 2,8/100 L Makro IS USM Canon EF   806.666667   847.00   \n",
       "120               Canon EF 4,0/70-200 L IS USM Canon EF  1065.714286  1119.00   \n",
       "140                     Canon EF 2,8/28 IS USM Canon EF   400.076190   420.08   \n",
       "142            Canon EF 4-5,6/70-300 IS II USM Canon EF   471.428571   495.00   \n",
       "150       Canon EF 4,5-5,6/100-400 L IS II USM Canon EF  1884.761905  1979.00   \n",
       "159                     Canon EF 2,0/135 L USM Canon EF   903.809524   949.00   \n",
       "163       Canon EF 2,8/70-200 L IS II USM weiß Canon EF  1884.761905  1979.00   \n",
       "169               Canon EF 2,8/16-35 L III USM Canon EF  2095.228571  2199.99   \n",
       "186            Canon EF 4,0/24-105 L IS II USM Canon EF  1075.238095  1129.00   \n",
       "213                  Canon EF 2,0/200 L IS USM Canon EF  5237.142857  5499.00   \n",
       "246              Canon EF-S 2,8/17-55 IS USM Canon EF-S   705.704762   740.99   \n",
       "247           Canon EF-M 3,5/28 IS STM Makro Canon EF-M   275.238095   289.00   \n",
       "258   Canon EF-M  3.5-6.3/18-150 IS STM schwarz Cano...   399.047619   419.00   \n",
       "276   Canon EF-S 3,5-5,6/15-85 IS USM schwarz Canon ...   623.704762   654.89   \n",
       "285           Canon EF-S 2,8/35 IS STM Makro Canon EF-S   408.571429   429.00   \n",
       "290                    Canon EF-S 2,8/24 STM Canon EF-S   137.038095   143.89   \n",
       "295          Canon EF-S 4,5-5,6/10-18 IS STM Canon EF-S   211.514286   222.09   \n",
       "297   Canon EF-M 3,5-6,3/15-45 mm IS STM Canon EF-M ...   233.333333   245.00   \n",
       "...                                                 ...          ...      ...   \n",
       "1699                             Leica TRINOVID 8x42 HD  1038.095238  1090.00   \n",
       "1701                       Leica Ultravid 10x42 HD-Plus  2161.904762  2270.00   \n",
       "1721               Manfrotto Joystick Stativkopf Junior   113.323810   118.99   \n",
       "1723                Manfrotto 504HD Pro Fluid Videokopf   332.380952   349.00   \n",
       "1725               Manfrotto Joystick Stativkopf 327RC2   131.323810   137.89   \n",
       "1732                    Manfrotto Hintergrund-Kit 1314B   237.142857   249.00   \n",
       "1747                        Leica Ultravid 8x42 HD-Plus  2047.619048  2150.00   \n",
       "1771                         Manfrotto STATIV Pro 546GB   480.104762   504.11   \n",
       "1773                          Manfrotto STATIV Pro 546B   360.590476   378.62   \n",
       "1799                 Manfrotto STATIV Master AC schwarz    89.323810    93.79   \n",
       "1837                           Nikon 62-52 Adapter BR-5    36.190476    38.00   \n",
       "1998                          Nikon Coolpix A900 silber   303.809524   319.00   \n",
       "2139                         Nikon Coolpix B700 schwarz   399.047619   419.00   \n",
       "2141                         Nikon Coolpix A900 schwarz   303.809524   319.00   \n",
       "2188          Nikon Coolpix W300 Holiday Kit camouflage   380.000000   399.00   \n",
       "2195                Nikon Coolpix W300 Holiday Kit gelb   380.000000   399.00   \n",
       "2202                            Nikon Coolpix W100 blau   132.276190   138.89   \n",
       "2218                         Nikon Coolpix B500 schwarz   237.133333   248.99   \n",
       "2232                            Nikon Coolpix W100 gelb   129.523810   136.00   \n",
       "2256             Nikon Coolpix W300 Holiday Kit schwarz   380.000000   399.00   \n",
       "2279              Nikon Coolpix W300 Holiday Kit orange   380.000000   399.00   \n",
       "2302                   Nikon D5600 Kit AF-P DX 18-55 VR   694.276190   728.99   \n",
       "2377         Nikon D5300,AF-S DX 18-140 G ED VR schwarz   713.228571   748.89   \n",
       "2389                                   Nissin i40 Canon   170.476190   179.00   \n",
       "2441                    Nissin i40 Sony Multi Interface   160.000000   168.00   \n",
       "2448                                Nissin i40 Fujifilm   170.476190   179.00   \n",
       "2495                   Nissin i60A Sony Multi Interface   221.247619   232.31   \n",
       "2780                  Canon EF 1,4/35 L USM II Canon EF  1789.523810  1879.00   \n",
       "2793                          Nikon Coolpix A300 silber   135.704762   142.49   \n",
       "2805                     Canon EF 1,2/50 L USM Canon EF  1313.333333  1379.00   \n",
       "\n",
       "      max_price        date class    ...      reviews rating_stars  \\\n",
       "12     397.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "14     727.5765  2017-12-08     1    ...        707.0          5.0   \n",
       "19    2413.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "26     117.0750  2017-12-08     1    ...        707.0          5.0   \n",
       "44     499.7895  2017-12-08     1    ...        707.0          5.0   \n",
       "47    1867.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "50     344.4000  2017-12-08     1    ...        707.0          5.0   \n",
       "53    1027.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "54     500.8395  2017-12-08     1    ...        707.0          5.0   \n",
       "67     446.1345  2017-12-08     1    ...        707.0          5.0   \n",
       "82    1311.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "90     817.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "92     889.3500  2017-12-08     1    ...        707.0          5.0   \n",
       "120   1174.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "140    441.0840  2017-12-08     1    ...        707.0          5.0   \n",
       "142    519.7500  2017-12-08     1    ...        707.0          5.0   \n",
       "150   2077.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "159    996.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "163   2077.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "169   2309.9895  2017-12-08     1    ...        707.0          5.0   \n",
       "186   1185.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "213   5773.9500  2017-12-08     5    ...        707.0          5.0   \n",
       "246    778.0395  2017-12-08     1    ...        707.0          5.0   \n",
       "247    303.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "258    439.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "276    687.6345  2017-12-08     1    ...        707.0          5.0   \n",
       "285    450.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "290    151.0845  2017-12-08     1    ...        707.0          5.0   \n",
       "295    233.1945  2017-12-08     1    ...        707.0          5.0   \n",
       "297    257.2500  2017-12-08     1    ...        707.0          5.0   \n",
       "...         ...         ...   ...    ...          ...          ...   \n",
       "1699  1144.5000  2017-12-08     1    ...        707.0          5.0   \n",
       "1701  2383.5000  2017-12-08     1    ...        707.0          5.0   \n",
       "1721   124.9395  2017-12-08     1    ...        707.0          5.0   \n",
       "1723   366.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "1725   144.7845  2017-12-08     1    ...        707.0          5.0   \n",
       "1732   261.4500  2017-12-08     1    ...        707.0          5.0   \n",
       "1747  2257.5000  2017-12-08     1    ...        707.0          5.0   \n",
       "1771   529.3155  2017-12-08     1    ...        707.0          5.0   \n",
       "1773   397.5510  2017-12-08     1    ...        707.0          5.0   \n",
       "1799    98.4795  2017-12-08     1    ...        707.0          5.0   \n",
       "1837    39.9000  2017-12-08     1    ...        707.0          5.0   \n",
       "1998   334.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2139   439.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2141   334.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2188   418.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2195   418.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2202   145.8345  2017-12-08     1    ...        707.0          5.0   \n",
       "2218   261.4395  2017-12-08     1    ...        707.0          5.0   \n",
       "2232   142.8000  2017-12-08     1    ...        707.0          5.0   \n",
       "2256   418.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2279   418.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2302   765.4395  2017-12-08     1    ...        707.0          5.0   \n",
       "2377   786.3345  2017-12-08     5    ...        707.0          5.0   \n",
       "2389   187.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2441   176.4000  2017-12-08     1    ...        707.0          5.0   \n",
       "2448   187.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2495   243.9255  2017-12-08     1    ...        707.0          5.0   \n",
       "2780  1972.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "2793   149.6145  2017-12-08     1    ...        707.0          5.0   \n",
       "2805  1447.9500  2017-12-08     1    ...        707.0          5.0   \n",
       "\n",
       "     delivery_time.1  price.1  price_with_shipping shipping_cost.1  \\\n",
       "12                12   410.64               410.64             0.0   \n",
       "14                12   748.92               748.92             0.0   \n",
       "19                12  2419.98              2419.98             0.0   \n",
       "26                12   131.80               131.80             0.0   \n",
       "44                12   510.06               510.06             0.0   \n",
       "47                12  1884.48              1884.48             0.0   \n",
       "50                12   371.41               371.41             0.0   \n",
       "53                12   994.81               994.81             0.0   \n",
       "54                12   510.06               510.06             0.0   \n",
       "67                12   466.42               466.42             0.0   \n",
       "82                12  1382.88              1382.88             0.0   \n",
       "90                12   800.20               800.20             0.0   \n",
       "92                12   879.08               879.08             0.0   \n",
       "120               12  1235.86              1235.86             0.0   \n",
       "140               12   447.10               447.10             0.0   \n",
       "142               12   493.49               493.49             0.0   \n",
       "150               12  2027.96              2027.96             0.0   \n",
       "159               12   949.83               949.83             0.0   \n",
       "163               12  2062.41              2062.41             0.0   \n",
       "169               12  2166.59              2166.59             0.0   \n",
       "186               12  1105.96              1105.96             0.0   \n",
       "213               12  1105.99              1105.99             0.0   \n",
       "246               12   800.52               800.52             0.0   \n",
       "247               12   287.59               287.59             0.0   \n",
       "258               12   403.84               403.84             0.0   \n",
       "276               12   696.85               696.85             0.0   \n",
       "285               12   369.20               369.20             0.0   \n",
       "290               12   162.07               162.07             0.0   \n",
       "295               12   244.97               244.97             0.0   \n",
       "297               12   261.50               261.50             0.0   \n",
       "...              ...      ...                  ...             ...   \n",
       "1699              12  1099.00              1099.00             0.0   \n",
       "1701              12  2200.00              2200.00             0.0   \n",
       "1721              12   104.65               104.65             0.0   \n",
       "1723              12   350.20               350.20             0.0   \n",
       "1725              12   149.28               149.28             0.0   \n",
       "1732              12   253.20               253.20             0.0   \n",
       "1747              12  2190.00              2190.00             0.0   \n",
       "1771              12   566.73               566.73             0.0   \n",
       "1773              12   364.69               364.69             0.0   \n",
       "1799              12   125.04               125.04             0.0   \n",
       "1837              12    52.67                52.67             0.0   \n",
       "1998              12   340.79               340.79             0.0   \n",
       "2139              12   433.94               433.94             0.0   \n",
       "2141              12   340.18               340.18             0.0   \n",
       "2188              12   428.79               428.79             0.0   \n",
       "2195              12   427.13               427.13             0.0   \n",
       "2202              12   157.70               157.70             0.0   \n",
       "2218              12   272.34               272.34             0.0   \n",
       "2232              12   156.17               156.17             0.0   \n",
       "2256              12   421.24               421.24             0.0   \n",
       "2279              12   427.13               427.13             0.0   \n",
       "2302              12   783.46               783.46             0.0   \n",
       "2377              12   978.27               978.27             0.0   \n",
       "2389              12   183.18               183.18             0.0   \n",
       "2441              12   188.29               188.29             0.0   \n",
       "2448              12   185.50               185.50             0.0   \n",
       "2495              12   269.91               269.91             0.0   \n",
       "2780              12  1893.47              1893.47             0.0   \n",
       "2793              12   159.67               159.67             0.0   \n",
       "2805              12  1422.00              1422.00             0.0   \n",
       "\n",
       "      suggested_retail_price                                 url  extra_one  \\\n",
       "12                    505.00  http://www.amazon.de/dp/B00NLBGCYI        NaN   \n",
       "14                    819.00  http://www.amazon.de/dp/B0000C4GAM        NaN   \n",
       "19                   2659.00  http://www.amazon.de/dp/B0001G8VFY        NaN   \n",
       "26                    129.00  http://www.amazon.de/dp/B00XKSBMQA        NaN   \n",
       "44                    599.00  http://www.amazon.de/dp/B00A33C4A8        NaN   \n",
       "47                   2319.00  http://www.amazon.de/dp/B0076FS09A        NaN   \n",
       "50                    449.00  http://www.amazon.de/dp/B00009XVCZ        NaN   \n",
       "53                   1275.00  http://www.amazon.de/dp/B00KAQX65A        NaN   \n",
       "54                    599.00  http://www.amazon.de/dp/B0077NPEEA        NaN   \n",
       "67                    535.00  http://www.amazon.de/dp/B00007EE8G        NaN   \n",
       "82                   1579.00  http://www.amazon.de/dp/B00005QF6R        NaN   \n",
       "90                    979.00  http://www.amazon.de/dp/B00A2I1D56        NaN   \n",
       "92                   1095.00  http://www.amazon.de/dp/B002NEFLD2        NaN   \n",
       "120                  1479.00  http://www.amazon.de/dp/B000I2J2SG        NaN   \n",
       "140                   549.00  http://www.amazon.de/dp/B0078MYVSU        NaN   \n",
       "142                   579.00  http://www.amazon.de/dp/B007VMAL68        NaN   \n",
       "150                  2619.00  http://www.amazon.de/dp/B00PGNMXQA        NaN   \n",
       "159                  1109.00  http://www.amazon.de/dp/B00007EE8H        NaN   \n",
       "163                  2539.00  http://www.amazon.de/dp/B0033567D8        NaN   \n",
       "169                  2625.00  http://www.amazon.de/dp/B01KZ4XPCK        NaN   \n",
       "186                  1259.00  http://www.amazon.de/dp/B01KZ4XLUQ        NaN   \n",
       "213                  1476.00  http://www.amazon.de/dp/B00007EE9B        NaN   \n",
       "246                   919.00  http://www.amazon.de/dp/B000EOTZ7G        NaN   \n",
       "247                   369.00  http://www.amazon.de/dp/B01FH4H30I        NaN   \n",
       "258                   499.00  http://www.amazon.de/dp/B01LWVAN26        NaN   \n",
       "276                   799.00  http://www.amazon.de/dp/B002NEFLDM        NaN   \n",
       "285                   429.00  http://www.amazon.de/dp/B06Y2LQCP3        NaN   \n",
       "290                   189.00  http://www.amazon.de/dp/B00NLBGD1A        NaN   \n",
       "295                   259.00  http://www.amazon.de/dp/B00KAQX66Y        NaN   \n",
       "297                   315.00  http://www.amazon.de/dp/B016JZFX0G        NaN   \n",
       "...                      ...                                 ...        ...   \n",
       "1699                     NaN  http://www.amazon.de/dp/B01BLFHYEW        NaN   \n",
       "1701                     NaN  http://www.amazon.de/dp/B00TYNWLYM        NaN   \n",
       "1721                  128.17  http://www.amazon.de/dp/B003CRGZJS        NaN   \n",
       "1723                  425.42  http://www.amazon.de/dp/B003VQUEXI        NaN   \n",
       "1725                  191.80  http://www.amazon.de/dp/B003CRH1P0        NaN   \n",
       "1732                  301.08  http://www.amazon.de/dp/B0026TJDN8        NaN   \n",
       "1747                     NaN  http://www.amazon.de/dp/B00U4ZELG0        NaN   \n",
       "1771                  630.14  http://www.amazon.de/dp/B003SAM1FG        NaN   \n",
       "1773                  498.84  http://www.amazon.de/dp/B003FGWKIQ        NaN   \n",
       "1799                  139.28  http://www.amazon.de/dp/B0023RRPE2        NaN   \n",
       "1837                     NaN  http://www.amazon.de/dp/B00009R8RV        NaN   \n",
       "1998                     NaN  http://www.amazon.de/dp/B06XCL26SK        NaN   \n",
       "2139                  509.00  http://www.amazon.de/dp/B01C672QQ0        NaN   \n",
       "2141                  399.00  http://www.amazon.de/dp/B01C672JPS        NaN   \n",
       "2188                  449.00  http://www.amazon.de/dp/B071W9NDXD        NaN   \n",
       "2195                  449.00  http://www.amazon.de/dp/B071WBNW23        NaN   \n",
       "2202                     NaN  http://www.amazon.de/dp/B01JJJ7JZ6        NaN   \n",
       "2218                     NaN  http://www.amazon.de/dp/B01C672SZ4        NaN   \n",
       "2232                     NaN  http://www.amazon.de/dp/B06XCLVTBL        NaN   \n",
       "2256                  449.00  http://www.amazon.de/dp/B071W9N2Y5        NaN   \n",
       "2279                  449.00  http://www.amazon.de/dp/B071FRMVCY        NaN   \n",
       "2302                     NaN  http://www.amazon.de/dp/B01MQGO8V6        NaN   \n",
       "2377                     NaN  http://www.amazon.de/dp/B00FYV5V04        NaN   \n",
       "2389                     NaN  http://www.amazon.de/dp/B00JDIDCFU        NaN   \n",
       "2441                     NaN  http://www.amazon.de/dp/B01F5JAFTG        NaN   \n",
       "2448                     NaN  http://www.amazon.de/dp/B00LQSWS28        NaN   \n",
       "2495                     NaN  http://www.amazon.de/dp/B01DL3FFG6        NaN   \n",
       "2780                 2329.00  http://www.amazon.de/dp/B014IO02DS        NaN   \n",
       "2793                     NaN  http://www.amazon.de/dp/B01C672M7S        NaN   \n",
       "2805                 1725.00  http://www.amazon.de/dp/B000I2J2S6        NaN   \n",
       "\n",
       "      extra_two  \n",
       "12          NaN  \n",
       "14          NaN  \n",
       "19          NaN  \n",
       "26          NaN  \n",
       "44          NaN  \n",
       "47          NaN  \n",
       "50          NaN  \n",
       "53          NaN  \n",
       "54          NaN  \n",
       "67          NaN  \n",
       "82          NaN  \n",
       "90          NaN  \n",
       "92          NaN  \n",
       "120         NaN  \n",
       "140         NaN  \n",
       "142         NaN  \n",
       "150         NaN  \n",
       "159         NaN  \n",
       "163         NaN  \n",
       "169         NaN  \n",
       "186         NaN  \n",
       "213    BUY BOX!  \n",
       "246         NaN  \n",
       "247         NaN  \n",
       "258         NaN  \n",
       "276         NaN  \n",
       "285         NaN  \n",
       "290         NaN  \n",
       "295         NaN  \n",
       "297         NaN  \n",
       "...         ...  \n",
       "1699        NaN  \n",
       "1701        NaN  \n",
       "1721        NaN  \n",
       "1723        NaN  \n",
       "1725        NaN  \n",
       "1732        NaN  \n",
       "1747        NaN  \n",
       "1771   BUY BOX!  \n",
       "1773        NaN  \n",
       "1799        NaN  \n",
       "1837        NaN  \n",
       "1998        NaN  \n",
       "2139        NaN  \n",
       "2141        NaN  \n",
       "2188        NaN  \n",
       "2195        NaN  \n",
       "2202        NaN  \n",
       "2218        NaN  \n",
       "2232        NaN  \n",
       "2256        NaN  \n",
       "2279        NaN  \n",
       "2302        NaN  \n",
       "2377        NaN  \n",
       "2389        NaN  \n",
       "2441        NaN  \n",
       "2448        NaN  \n",
       "2495        NaN  \n",
       "2780        NaN  \n",
       "2793        NaN  \n",
       "2805        NaN  \n",
       "\n",
       "[123 rows x 23 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_TOPdeals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "40.3\n"
     ]
    }
   ],
   "source": [
    "#Versandkosten ab:##### Stufe, die der Wettbewerber keinen VK verlangt\n",
    "print(shipping_cost_from('TOPdeals'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10b2279b0>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MZnOtY05fDdKjRw8yMjIASE9PJywszKVQIiJSf06X9dSpU0lJSWHkyJGUlZUxZMgQd+QS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\nZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b24e978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Häufigste angebotene Brand\n",
    "df_TOPdeals['brand'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10c91d9e8>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c523048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Verteilung der Produkte nach Price-Range\n",
    "df_TOPdeals['price_with_shipping'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10c9f5630>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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C2rx5szIzM5Wdna2tW7fqkUceSfeIwG3xwz64L7W0tKi2tlaDg4OSpMbGRtXV1am1tVWL\nFy9WS0tLmicExoaI475UVFSk5ubmxOumpib5fD5J/3wjKScnXc+qAONDxHFf8vv9iSenJGnatGmS\npBMnTigYDGrVqlVpmgwYn5Q+nQJYdvDgQW3fvl07d+5UYWFhuscBxoSIA5L279+vPXv2qLW1VQUF\nBekeBxgzIo773tDQkBobGzVjxgxVVVVJkubNm6e1a9emeTLg9njEEAAM4xubAGAYEQcAw4g4ABhG\nxAHAMCIOAIYRcQAwjIgDgGFEHAAM+3/wV5LZZTQgywAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c9fc518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Ø Versandzeit\n",
    "df_TOPdeals['delivery_time.1'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "amazon                                    107\n",
       "KÖSTER MÜNSTER                             77\n",
       "Foto Oehlmann                              66\n",
       "MEGA-Foto                                  62\n",
       "e-joker                                    37\n",
       "fotoversand24                              36\n",
       "ELECTRONIS                                 31\n",
       "DUKE FOTOGRAFÍA                            21\n",
       "Photo Porst Memmingen                      17\n",
       "FOTO KAESBERG Ruhpolding                   16\n",
       "NUMIPIXEL                                  16\n",
       "ZAR Systems                                15\n",
       "DASTRO ® --- Einfach. Genial. Günstig.     15\n",
       "shop-ar                                    15\n",
       "allmedia-dinslaken                         14\n",
       "Name: seller, dtype: int64"
      ]
     },
     "execution_count": 415,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##Mit welchem höchste Überschneidung der Produktliste???\n",
    "## Vorfilterung der Kunden, => ean Produktliste => Konkurrenten\n",
    "vorfilterung= 'TOPdeals'\n",
    "ean_list= df2[df2['seller']==vorfilterung]\n",
    "konkurrenten= df2[df2['gtin_ean'].isin(ean_list['gtin_ean'].values)]\n",
    "konkurrenten.seller.value_counts().drop([vorfilterung]).nlargest(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Welche Produkte haben innerhalb Top10 höchste Spreizung\n",
    "df2_gtin_min= df2.groupby(['gtin_ean']).min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>brand</th>\n",
       "      <th>manufacturer_nr</th>\n",
       "      <th>title</th>\n",
       "      <th>min_price</th>\n",
       "      <th>price</th>\n",
       "      <th>max_price</th>\n",
       "      <th>date</th>\n",
       "      <th>class</th>\n",
       "      <th>amount_of_sellers</th>\n",
       "      <th>product_name_channel</th>\n",
       "      <th>seller</th>\n",
       "      <th>reviews</th>\n",
       "      <th>rating_stars</th>\n",
       "      <th>delivery_time.1</th>\n",
       "      <th>price.1</th>\n",
       "      <th>price_with_shipping</th>\n",
       "      <th>shipping_cost.1</th>\n",
       "      <th>suggested_retail_price</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtin_ean</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18208019021</th>\n",
       "      <td>16250</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA011DB</td>\n",
       "      <td>Nikon AF 1,4/50 D Nikon FX  | 100 Wochen Zusat...</td>\n",
       "      <td>284.761905</td>\n",
       "      <td>299.00</td>\n",
       "      <td>313.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Nikon AF Nikkor 50mm 1:1,4D Objektiv (52 mm Fi...</td>\n",
       "      <td>Vitrax</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>329.73</td>\n",
       "      <td>329.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005LENO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019106</th>\n",
       "      <td>16826</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA626DA</td>\n",
       "      <td>Nikon AF 2,8/16 D Fisheye Nikon FX  | 100 Woch...</td>\n",
       "      <td>741.904762</td>\n",
       "      <td>779.00</td>\n",
       "      <td>817.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Nikon AF Fisheye-Nikkor 16mm 1:2,8D Objektiv</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>759.00</td>\n",
       "      <td>759.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005QIZ8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019137</th>\n",
       "      <td>16226</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA127DA</td>\n",
       "      <td>Nikon AF 2,8/20 D Nikon FX  | 100 Wochen Zusat...</td>\n",
       "      <td>541.904762</td>\n",
       "      <td>569.00</td>\n",
       "      <td>597.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Nikon AF D 20/2.8 Nikkor Superweitwinkel-Objek...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>43054.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>554.99</td>\n",
       "      <td>554.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005LEOC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019229</th>\n",
       "      <td>16430</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA128DA</td>\n",
       "      <td>Nikon AF 2,8/28 D Nikon FX  | 100 Wochen Zusat...</td>\n",
       "      <td>303.809524</td>\n",
       "      <td>319.00</td>\n",
       "      <td>334.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Nikon AF Nikkor 28 mm/2,8 D Objektiv (52mm Fil...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>10</td>\n",
       "      <td>309.75</td>\n",
       "      <td>314.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005LE71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019236</th>\n",
       "      <td>16852</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA129DA</td>\n",
       "      <td>Nikon AF 2,0/35 D Nikon FX  | 100 Wochen Zusat...</td>\n",
       "      <td>302.771429</td>\n",
       "      <td>317.91</td>\n",
       "      <td>333.8055</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Nikon AF Nikkor 35 mm/2,0 D Objektiv (52mm Fil...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>317.91</td>\n",
       "      <td>317.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005LE72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019359</th>\n",
       "      <td>16695</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA329DA</td>\n",
       "      <td>Nikon AF 2,0/135 D DC Nikon FX  | 100 Wochen Z...</td>\n",
       "      <td>1265.714286</td>\n",
       "      <td>1329.00</td>\n",
       "      <td>1395.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nikon 135/2,0 DC D</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1335.00</td>\n",
       "      <td>1335.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1539.0</td>\n",
       "      <td>http://www.amazon.de/dp/B00006I5J4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019403</th>\n",
       "      <td>16649</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA330DA</td>\n",
       "      <td>Nikon AF 2,8/180 IF ED D Nikon FX  | 100 Woche...</td>\n",
       "      <td>856.190476</td>\n",
       "      <td>899.00</td>\n",
       "      <td>943.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Nikon AF 180 mm/2,8 D Objektiv (72mm Filtergew...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>895.00</td>\n",
       "      <td>895.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005LEOI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021376</th>\n",
       "      <td>17973</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA013DA</td>\n",
       "      <td>Nikon AF 1,8/50 D Nikon FX  | 100 Wochen Zusat...</td>\n",
       "      <td>125.895238</td>\n",
       "      <td>132.19</td>\n",
       "      <td>138.7995</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Nikon AF Nikkor 50mm 1:1,8D Objektiv (52mm Fil...</td>\n",
       "      <td>DUKE FOTOGRAFÍA</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>-334</td>\n",
       "      <td>118.98</td>\n",
       "      <td>118.98</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00005LEN4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021444</th>\n",
       "      <td>17882</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA784DA</td>\n",
       "      <td>Nikon AF-S DX 4,0/12-24 G IF-ED schwarz Nikon ...</td>\n",
       "      <td>1052.380952</td>\n",
       "      <td>1105.00</td>\n",
       "      <td>1160.2500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nikon AF-S DX Zoom-Nikkor 12-24mm 1:4G IF-ED O...</td>\n",
       "      <td>PC-Tech Store</td>\n",
       "      <td>64.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1082.90</td>\n",
       "      <td>1082.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B000092M1T</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021475</th>\n",
       "      <td>18560</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA788DA</td>\n",
       "      <td>Nikon AF-S DX 2,8/17-55 G IF-ED Nikon DX  | 10...</td>\n",
       "      <td>1475.238095</td>\n",
       "      <td>1549.00</td>\n",
       "      <td>1626.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Nikon AF-S DX Zoom-Nikkor 17-55mm 1:2,8G IF-ED...</td>\n",
       "      <td>AS-Versand Preise inkl. MwSt.</td>\n",
       "      <td>1541.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1525.00</td>\n",
       "      <td>1525.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B000144I2Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021604</th>\n",
       "      <td>16127</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA630DB</td>\n",
       "      <td>Nikon AF-S 2,8/105 G IF-ED VR Micro Nikon FX  ...</td>\n",
       "      <td>789.419048</td>\n",
       "      <td>828.89</td>\n",
       "      <td>870.3345</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Nikon AF-S Micro-Nikkor 105mm 1:2,8G VR Objekt...</td>\n",
       "      <td>IGLM ELECTRONIC</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>829.00</td>\n",
       "      <td>829.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B000EOSHGQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021635</th>\n",
       "      <td>21599</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA801DA</td>\n",
       "      <td>Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...</td>\n",
       "      <td>1729.514286</td>\n",
       "      <td>1815.99</td>\n",
       "      <td>1906.7895</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Nikon AF-S Zoom-Nikkor 14-24mm 1:2,8G ED Objek...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>43054.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1819.00</td>\n",
       "      <td>1819.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B000VDCTCI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021642</th>\n",
       "      <td>21601</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA802DA</td>\n",
       "      <td>Nikon AF-S 2,8/24-70 G ED IF Nikon FX  | 100 W...</td>\n",
       "      <td>1618.095238</td>\n",
       "      <td>1699.00</td>\n",
       "      <td>1783.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Nikon AF-S Zoom-Nikkor 24-70mm 1:2,8G ED Objek...</td>\n",
       "      <td>Vladrein</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1363.19</td>\n",
       "      <td>1366.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B000VDCT3C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021772</th>\n",
       "      <td>25445</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA632DB</td>\n",
       "      <td>Nikon AF-S 2,8/60 G-ED Micro Nikon FX  | 100 W...</td>\n",
       "      <td>533.228571</td>\n",
       "      <td>559.89</td>\n",
       "      <td>587.8845</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Nikon AF-S Micro Nikkor 60mm/2.8G ED Objektiv ...</td>\n",
       "      <td>High Tech moving</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>539.99</td>\n",
       "      <td>552.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B0013A1XDY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021789</th>\n",
       "      <td>25429</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA800DA</td>\n",
       "      <td>Nikon AF-S DX 3,5-5,6/16-85 G-ED VR Nikon DX  ...</td>\n",
       "      <td>618.085714</td>\n",
       "      <td>648.99</td>\n",
       "      <td>681.4395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>Nikon AF-S DX Nikkor 16-85mm 1:3,5-5,6G ED VR ...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>645.00</td>\n",
       "      <td>645.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B0013A1XDE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021802</th>\n",
       "      <td>28797</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA014DA</td>\n",
       "      <td>Nikon AF-S 1,4/50 G Nikon FX  | 100 Wochen Zus...</td>\n",
       "      <td>418.095238</td>\n",
       "      <td>439.00</td>\n",
       "      <td>460.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Nikon AF-S Nikkor 50mm 1:1,4G Objektiv (58mm F...</td>\n",
       "      <td>IGLM ELECTRONIC</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>-334</td>\n",
       "      <td>449.00</td>\n",
       "      <td>449.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B001GCVA0U</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021826</th>\n",
       "      <td>37676</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA806DB</td>\n",
       "      <td>Nikon AF-S 4,0/16-35 ED VR Nikon FX  | 100 Woc...</td>\n",
       "      <td>1141.904762</td>\n",
       "      <td>1199.00</td>\n",
       "      <td>1258.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Nikon AF-S Nikkor 16-35mm 1:4G ED VR Objektiv ...</td>\n",
       "      <td>AS-Versand Preise inkl. MwSt.</td>\n",
       "      <td>58.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>999.00</td>\n",
       "      <td>999.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B0037KM0XA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021864</th>\n",
       "      <td>39001</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA339DA</td>\n",
       "      <td>Nikon AF-S 2,8/300 ED VR II Nikon FX  | 100 Wo...</td>\n",
       "      <td>5214.276190</td>\n",
       "      <td>5474.99</td>\n",
       "      <td>5748.7395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Nikon AF-S Nikkor 300mm 1:2.8G ED VR II Objekt...</td>\n",
       "      <td>DA TECH PRO</td>\n",
       "      <td>182.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12</td>\n",
       "      <td>4999.00</td>\n",
       "      <td>5002.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B0030BEVEW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021871</th>\n",
       "      <td>38890</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA809DA</td>\n",
       "      <td>Nikon AF-S 4,0/200-400 G ED VR II Nikon FX  | ...</td>\n",
       "      <td>6599.047619</td>\n",
       "      <td>6929.00</td>\n",
       "      <td>7275.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nikon AF-S Nikkor 200-400 mm F4G ED VR II Obje...</td>\n",
       "      <td>DA TECH PRO</td>\n",
       "      <td>182.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>not available</td>\n",
       "      <td>7286.37</td>\n",
       "      <td>7286.37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B003JBHSHK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021888</th>\n",
       "      <td>40366</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA340DA</td>\n",
       "      <td>Nikon AF-S 2,0/200 ED VR II Nikon FX  | 100 Wo...</td>\n",
       "      <td>5176.190476</td>\n",
       "      <td>5435.00</td>\n",
       "      <td>5706.7500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>Not found</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021925</th>\n",
       "      <td>32377</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA813DA</td>\n",
       "      <td>Nikon AF-S DX 3,5-5,6/18-200 G ED VR II Nikon ...</td>\n",
       "      <td>675.238095</td>\n",
       "      <td>709.00</td>\n",
       "      <td>744.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>Nikon AF-S DX Nikkor 18-200mm 1:3,5-5,6 G ED V...</td>\n",
       "      <td>DUKE FOTOGRAFÍA</td>\n",
       "      <td>172.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>599.99</td>\n",
       "      <td>608.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B002JCSV8A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021956</th>\n",
       "      <td>39937</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA338DA</td>\n",
       "      <td>Nikon AF-S 1,4/85 G Nikon FX  | 100 Wochen Zus...</td>\n",
       "      <td>1475.238095</td>\n",
       "      <td>1549.00</td>\n",
       "      <td>1626.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Nikon AF-S 85mm 1:1.4G Objektiv (77 mm Filterg...</td>\n",
       "      <td>Bee-Tech-IT</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1539.00</td>\n",
       "      <td>1539.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B003ZSHNE0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021987</th>\n",
       "      <td>40365</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA134DA</td>\n",
       "      <td>Nikon AF-S 1,4/35 G Nikon FX  | 100 Wochen Zus...</td>\n",
       "      <td>1690.476190</td>\n",
       "      <td>1775.00</td>\n",
       "      <td>1863.7500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Nikon AF-S Nikkor 35 mm 1:1,4G Objektiv (67 mm...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1769.00</td>\n",
       "      <td>1769.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B0042X9LB0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022014</th>\n",
       "      <td>55871</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA341DA</td>\n",
       "      <td>Nikon AF-S 1,8/85 G Nikon FX  | 100 Wochen Zus...</td>\n",
       "      <td>467.514286</td>\n",
       "      <td>490.89</td>\n",
       "      <td>515.4345</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Nikon AF-S NIKKOR 85 mm 1:1,8G Objektiv</td>\n",
       "      <td>Goldene Handelsgesellschaft</td>\n",
       "      <td>720.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>499.00</td>\n",
       "      <td>499.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B006TAP096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022038</th>\n",
       "      <td>56816</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA135DA</td>\n",
       "      <td>Nikon AF-S 1,8/28 G Nikon FX  | 100 Wochen Zus...</td>\n",
       "      <td>608.571429</td>\n",
       "      <td>639.00</td>\n",
       "      <td>670.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Nikon AF-S Nikkor 28mm 1:1,8G Objektiv inkl. H...</td>\n",
       "      <td>Foto Oehlmann</td>\n",
       "      <td>37623.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>645.00</td>\n",
       "      <td>645.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B007VGGIRK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022052</th>\n",
       "      <td>58528</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA531DA</td>\n",
       "      <td>Nikon AF-S 5,6/800 FL ED VR Nikon FX  | 100 Wo...</td>\n",
       "      <td>17141.904762</td>\n",
       "      <td>17999.00</td>\n",
       "      <td>18898.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>Not found</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022083</th>\n",
       "      <td>58879</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA817EA</td>\n",
       "      <td>Nikon AF-S 4,5-5,6/80-400 G ED VR Nikon FX  | ...</td>\n",
       "      <td>2284.761905</td>\n",
       "      <td>2399.00</td>\n",
       "      <td>2518.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Nikon AF-S NIKKOR 80-400 mm 1:4,5-5,6G ED VR O...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2382.95</td>\n",
       "      <td>2382.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00BOZ1Y46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022106</th>\n",
       "      <td>59488</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA136DA</td>\n",
       "      <td>Nikon AF-S 1,4/58 G Nikon FX  | 100 Wochen Zus...</td>\n",
       "      <td>1497.095238</td>\n",
       "      <td>1571.95</td>\n",
       "      <td>1650.5475</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nikon 58 mm / F 1.4 AF-S G Objektiv ( Nikon F-...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>not available</td>\n",
       "      <td>1583.60</td>\n",
       "      <td>1583.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00FY3T9DW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022137</th>\n",
       "      <td>58946</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA819DA</td>\n",
       "      <td>Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX ...</td>\n",
       "      <td>385.666667</td>\n",
       "      <td>404.95</td>\n",
       "      <td>425.1975</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Nikon AF-S DX Nikkor 18–140mm 1:3,5-5,6G ED VR...</td>\n",
       "      <td>Euronics XXL Moschcau</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1</td>\n",
       "      <td>294.00</td>\n",
       "      <td>294.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00ECGX8FM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022151</th>\n",
       "      <td>71409</td>\n",
       "      <td>Nikon</td>\n",
       "      <td>JAA137DA</td>\n",
       "      <td>Nikon AF-S 1,8/35 G ED Nikon FX  | 100 Wochen ...</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>525.00</td>\n",
       "      <td>551.2500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Nikon AF-S nikkor 35mm f/1.8G ED</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>512.95</td>\n",
       "      <td>512.95</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00HQ4W4XO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640335</th>\n",
       "      <td>76766</td>\n",
       "      <td>Gitzo</td>\n",
       "      <td>GK0545T-82TQD</td>\n",
       "      <td>Gitzo Traveler Kit Serie 0, 4 Segm., mit Kopf ...</td>\n",
       "      <td>706.666667</td>\n",
       "      <td>742.00</td>\n",
       "      <td>779.1000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gitzo Traveler Stativ Kit Series 0, 4-Segmente...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>744.00</td>\n",
       "      <td>744.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B016NSFTV2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640342</th>\n",
       "      <td>76768</td>\n",
       "      <td>Gitzo</td>\n",
       "      <td>GK1555T-82TQD</td>\n",
       "      <td>Gitzo Traveler Kit, Ser.1 5 Segm. GT1555T + Ko...</td>\n",
       "      <td>798.095238</td>\n",
       "      <td>838.00</td>\n",
       "      <td>879.9000</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gitzo Traveler Stativ Kit Series 1, 5-Segmente...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3</td>\n",
       "      <td>829.99</td>\n",
       "      <td>829.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B016NSFTYO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640359</th>\n",
       "      <td>76767</td>\n",
       "      <td>Gitzo</td>\n",
       "      <td>GK1545T-82TQD</td>\n",
       "      <td>Gitzo Traveler Kit, Ser.1 4 Segm. GT1545T mit ...</td>\n",
       "      <td>760.904762</td>\n",
       "      <td>798.95</td>\n",
       "      <td>838.8975</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gitzo Traveler Stativ Kit Series 1, 4-Segmente...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3</td>\n",
       "      <td>755.00</td>\n",
       "      <td>755.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B016NSFTUI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640397</th>\n",
       "      <td>76765</td>\n",
       "      <td>Gitzo</td>\n",
       "      <td>GT1545T</td>\n",
       "      <td>Gitzo Traveler Stativ Serie 1, 4 Segmente Carb...</td>\n",
       "      <td>522.857143</td>\n",
       "      <td>549.00</td>\n",
       "      <td>576.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gitzo Traveler Stativ Series 1, 4-Segmente Car...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>549.00</td>\n",
       "      <td>549.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B016NSFTIK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640403</th>\n",
       "      <td>76769</td>\n",
       "      <td>Gitzo</td>\n",
       "      <td>GT2545T</td>\n",
       "      <td>Gitzo Traveler Stativ Serie 2, 4 Segmente Carb...</td>\n",
       "      <td>711.428571</td>\n",
       "      <td>747.00</td>\n",
       "      <td>784.3500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gitzo Traveler Stativ Series 2, 4-Segmente Car...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3</td>\n",
       "      <td>747.00</td>\n",
       "      <td>747.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B015XPNZTE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574593623</th>\n",
       "      <td>65480</td>\n",
       "      <td>Canon</td>\n",
       "      <td>8035B024</td>\n",
       "      <td>Canon EOS 6D Gehäuse</td>\n",
       "      <td>1313.333333</td>\n",
       "      <td>1379.00</td>\n",
       "      <td>1447.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Canon EOS 6D SLR-Digitalkamera (20,2 Megapixel...</td>\n",
       "      <td>Electronic-Service</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>10</td>\n",
       "      <td>1149.19</td>\n",
       "      <td>1149.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B009C6WYTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574623641</th>\n",
       "      <td>63987</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9167B021AA</td>\n",
       "      <td>Canon PowerShot G1X Mark II Premium Kit</td>\n",
       "      <td>684.761905</td>\n",
       "      <td>719.00</td>\n",
       "      <td>754.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>POWERSHOT G1X MARKII PREM KIT</td>\n",
       "      <td>Foto Oehlmann</td>\n",
       "      <td>121.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>789.00</td>\n",
       "      <td>789.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00LHPE0BC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574627502</th>\n",
       "      <td>69581</td>\n",
       "      <td>Canon</td>\n",
       "      <td>8035B127</td>\n",
       "      <td>Canon EOS 6D,EF 3,5-5,6/24-105  IS STM</td>\n",
       "      <td>1713.333333</td>\n",
       "      <td>1799.00</td>\n",
       "      <td>1888.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Canon EOS 6D SLR-Digitalkamera (20,2 Megapixel...</td>\n",
       "      <td>Foto Oehlmann</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1604.99</td>\n",
       "      <td>1604.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00SH1TIAW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574627823</th>\n",
       "      <td>69774</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0592C015</td>\n",
       "      <td>Canon EOS 750D Gehäuse</td>\n",
       "      <td>522.857143</td>\n",
       "      <td>549.00</td>\n",
       "      <td>576.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Canon EOS 750D SLR-Digitalkamera (24 Megapixel...</td>\n",
       "      <td>Foto Oehlmann</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>529.90</td>\n",
       "      <td>534.89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>699.0</td>\n",
       "      <td>http://www.amazon.de/dp/B00TFDDNJI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574627946</th>\n",
       "      <td>69775</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0592C022</td>\n",
       "      <td>Canon EOS 750D,EF-S 3,5-5,6/18-55 IS STM</td>\n",
       "      <td>599.047619</td>\n",
       "      <td>629.00</td>\n",
       "      <td>660.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Canon EOS 750D SLR-Digitalkamera (24 Megapixel...</td>\n",
       "      <td>DASTRO ® --- Einfach. Genial. Günstig.</td>\n",
       "      <td>33.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>598.00</td>\n",
       "      <td>598.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>http://www.amazon.de/dp/B00TFDDNNO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574628059</th>\n",
       "      <td>69784</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0021C017</td>\n",
       "      <td>Canon EOS 760D Gehäuse</td>\n",
       "      <td>637.142857</td>\n",
       "      <td>669.00</td>\n",
       "      <td>702.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>EOS 760D Gehäuse</td>\n",
       "      <td>Lang GmbH</td>\n",
       "      <td>700.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5</td>\n",
       "      <td>770.00</td>\n",
       "      <td>772.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00TWIO6TC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574628080</th>\n",
       "      <td>69786</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0582C010</td>\n",
       "      <td>Canon EOS 5Ds R Gehäuse</td>\n",
       "      <td>3427.619048</td>\n",
       "      <td>3599.00</td>\n",
       "      <td>3778.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Canon EOS 5DS R Body , speziell für die ultima...</td>\n",
       "      <td>Foto Oehlmann</td>\n",
       "      <td>37623.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>3798.00</td>\n",
       "      <td>3798.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B00TLMUQ5C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574628219</th>\n",
       "      <td>69776</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0592C029</td>\n",
       "      <td>Canon EOS 750D,EF-S 3,5-5,6/18-135 IS STM</td>\n",
       "      <td>766.657143</td>\n",
       "      <td>804.99</td>\n",
       "      <td>845.2395</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Canon EOS 750D SLR-Digitalkamera (24 Megapixel...</td>\n",
       "      <td>IGLM ELECTRONIC</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>804.89</td>\n",
       "      <td>804.89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1069.0</td>\n",
       "      <td>http://www.amazon.de/dp/B00TFDDNZM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574635309</th>\n",
       "      <td>62704</td>\n",
       "      <td>Canon</td>\n",
       "      <td>0931C010</td>\n",
       "      <td>Canon EOS 1D X Mark II Gehäuse</td>\n",
       "      <td>5999.047619</td>\n",
       "      <td>6299.00</td>\n",
       "      <td>6613.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>Not found</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574636351</th>\n",
       "      <td>74141</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1263C027</td>\n",
       "      <td>Canon EOS 80D Gehäuse</td>\n",
       "      <td>951.428571</td>\n",
       "      <td>999.00</td>\n",
       "      <td>1048.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Canon EOS 80D SLR-Digitalkamera Gehäuse (24,2 ...</td>\n",
       "      <td>Big-Deal</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>985.00</td>\n",
       "      <td>985.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1339.0</td>\n",
       "      <td>http://www.amazon.de/dp/B01C2XJVPC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574636429</th>\n",
       "      <td>74147</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1263C034</td>\n",
       "      <td>Canon EOS 80D,EF-S 3,5-5,6/18-55 IS STM</td>\n",
       "      <td>1046.666667</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>1153.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "      <td>Canon EOS 80D 1263C034 SLR-Digitalkamera (24,2...</td>\n",
       "      <td>DASTRO ® --- Einfach. Genial. Günstig.</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1445.0</td>\n",
       "      <td>http://www.amazon.de/dp/B01C2XJWZ6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574636504</th>\n",
       "      <td>74148</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1263C042</td>\n",
       "      <td>Canon EOS 80D,EF-S 3,5-5,6/18-135 IS USM</td>\n",
       "      <td>1300.085714</td>\n",
       "      <td>1365.09</td>\n",
       "      <td>1433.3445</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Canon EOS 80D SLR-Digitalkamera (24,2 Megapixe...</td>\n",
       "      <td>Brikoland</td>\n",
       "      <td>19.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1339.09</td>\n",
       "      <td>1339.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1765.0</td>\n",
       "      <td>http://www.amazon.de/dp/B01CJMBXUC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574637235</th>\n",
       "      <td>71978</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1160C023</td>\n",
       "      <td>Canon EOS 1300D Body</td>\n",
       "      <td>294.285714</td>\n",
       "      <td>309.00</td>\n",
       "      <td>324.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Canon EOS 1300D / Rebel T6 / KISS X80 ( 18.7 M...</td>\n",
       "      <td>BluePARTSTORE</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>12</td>\n",
       "      <td>288.38</td>\n",
       "      <td>288.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01CSRUVHO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574637266</th>\n",
       "      <td>74217</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1160C026</td>\n",
       "      <td>Canon EOS 1300D,EF-S 18-55 IS II</td>\n",
       "      <td>365.704762</td>\n",
       "      <td>383.99</td>\n",
       "      <td>403.1895</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>47.0</td>\n",
       "      <td>Canon EOS 1300D Digitale Spiegelreflexkamera (...</td>\n",
       "      <td>CyberPhoto</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>370.00</td>\n",
       "      <td>370.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>http://www.amazon.de/dp/B01CQPABLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574645933</th>\n",
       "      <td>72726</td>\n",
       "      <td>Canon</td>\n",
       "      <td>9694B233</td>\n",
       "      <td>Canon EOS M3 EF-M 15-45 IS STM</td>\n",
       "      <td>475.238095</td>\n",
       "      <td>499.00</td>\n",
       "      <td>523.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Canon EOS M3 Systemkamera (24 Megapixel APS-C ...</td>\n",
       "      <td>amazon</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>512.91</td>\n",
       "      <td>512.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>http://www.amazon.de/dp/B01J1I9WQE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574645957</th>\n",
       "      <td>72692</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1483C025</td>\n",
       "      <td>Canon EOS 5D Mark IV Gehäuse</td>\n",
       "      <td>3522.857143</td>\n",
       "      <td>3699.00</td>\n",
       "      <td>3883.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Canon EOS 5D MARK IV 1483C025 Digitalkamera (3...</td>\n",
       "      <td>Deltatecc GmbH</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>10</td>\n",
       "      <td>3489.99</td>\n",
       "      <td>3500.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01L8U5924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574646589</th>\n",
       "      <td>78088</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1279C047</td>\n",
       "      <td>Canon EOS M5 mit EF-M 1:3,5-6,3/18-150 IS STM</td>\n",
       "      <td>1237.142857</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1363.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Canon EOS M5 18-150 / 3.5-6.3 EF-M IS STM / Mo...</td>\n",
       "      <td>DiscoverBox</td>\n",
       "      <td>700.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1309.00</td>\n",
       "      <td>1309.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B01M15M32S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574650494</th>\n",
       "      <td>79923</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1895C031AA</td>\n",
       "      <td>Canon EOS 800D Kit inkl. EF-S 3,5-5,6/18-200 m...</td>\n",
       "      <td>1046.666667</td>\n",
       "      <td>1099.00</td>\n",
       "      <td>1153.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Canon EOS 800D / EOS KISS X9I  18-200 / 3.5-5....</td>\n",
       "      <td>Achatpc</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-323</td>\n",
       "      <td>1084.99</td>\n",
       "      <td>1084.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B06X94H266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574651620</th>\n",
       "      <td>80128</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1791C016AA</td>\n",
       "      <td>Canon PowerShot SX730 HS Travel Kit schwarz</td>\n",
       "      <td>360.952381</td>\n",
       "      <td>379.00</td>\n",
       "      <td>397.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Canon PowerShot SX730 HS schwarz Travel Kit, D...</td>\n",
       "      <td>KÖSTER MÜNSTER</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>349.00</td>\n",
       "      <td>349.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B06Y48C2C8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574651651</th>\n",
       "      <td>80127</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1792C014AA</td>\n",
       "      <td>Canon PowerShot SX730 HS Travel Kit silber</td>\n",
       "      <td>360.952381</td>\n",
       "      <td>379.00</td>\n",
       "      <td>397.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Canon PowerShot SX730 HS silber Travel Kit</td>\n",
       "      <td>KÖSTER MÜNSTER</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12</td>\n",
       "      <td>339.66</td>\n",
       "      <td>339.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B06Y4CH4VN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574651705</th>\n",
       "      <td>80465</td>\n",
       "      <td>Canon</td>\n",
       "      <td>1263C154AA</td>\n",
       "      <td>Canon EOS 80D Kit 3,5-5,6/18-200 IS</td>\n",
       "      <td>1380.000000</td>\n",
       "      <td>1449.00</td>\n",
       "      <td>1521.4500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Canon EOS 80D Kit 18-200 mm IS</td>\n",
       "      <td>Districlic</td>\n",
       "      <td>2434.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>10</td>\n",
       "      <td>1522.88</td>\n",
       "      <td>1522.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.amazon.de/dp/B06XVPZ3SL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574653594</th>\n",
       "      <td>11010</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2250C028AA</td>\n",
       "      <td>Canon EOS 200D EF-S 3,5-5,6 / 18-135mm IS STM</td>\n",
       "      <td>842.857143</td>\n",
       "      <td>885.00</td>\n",
       "      <td>929.2500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Canon EOS 200D Digitale Spiegelreflexkamera (2...</td>\n",
       "      <td>DiscoverBox</td>\n",
       "      <td>707.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-323</td>\n",
       "      <td>829.99</td>\n",
       "      <td>829.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1099.0</td>\n",
       "      <td>http://www.amazon.de/dp/B073D5KCKV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574654539</th>\n",
       "      <td>10549</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2209C049</td>\n",
       "      <td>Canon EOS M100 EF-M 15-45 IS STM schwarz</td>\n",
       "      <td>570.476190</td>\n",
       "      <td>599.00</td>\n",
       "      <td>628.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>28.0</td>\n",
       "      <td>Canon EOS M100 Systemkamera (24,2MP, 7,5 cm (3...</td>\n",
       "      <td>ELECTRONIS</td>\n",
       "      <td>707.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>550.89</td>\n",
       "      <td>550.89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>http://www.amazon.de/dp/B0757T349W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574654546</th>\n",
       "      <td>10553</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2210C049</td>\n",
       "      <td>Canon EOS M100 EF-M 15-45 IS STM weiß</td>\n",
       "      <td>570.476190</td>\n",
       "      <td>599.00</td>\n",
       "      <td>628.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Canon EOS M100 Systemkamera (24,2MP, 7,5 cm (3...</td>\n",
       "      <td>ELECTRONIS</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>545.99</td>\n",
       "      <td>545.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>http://www.amazon.de/dp/B0757VFXJP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574654553</th>\n",
       "      <td>10555</td>\n",
       "      <td>Canon</td>\n",
       "      <td>2211C049</td>\n",
       "      <td>Canon EOS M100 EF-M 15-45 IS STM grau</td>\n",
       "      <td>570.476190</td>\n",
       "      <td>599.00</td>\n",
       "      <td>628.9500</td>\n",
       "      <td>2017-12-08</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Canon EOS M100 Systemkamera (24,2MP, 7,5 cm (3...</td>\n",
       "      <td>1Deins Computer GmbH</td>\n",
       "      <td>707.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1</td>\n",
       "      <td>519.00</td>\n",
       "      <td>519.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>http://www.amazon.de/dp/B07584MVB7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>492 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               product_id  brand manufacturer_nr  \\\n",
       "gtin_ean                                           \n",
       "18208019021         16250  Nikon        JAA011DB   \n",
       "18208019106         16826  Nikon        JAA626DA   \n",
       "18208019137         16226  Nikon        JAA127DA   \n",
       "18208019229         16430  Nikon        JAA128DA   \n",
       "18208019236         16852  Nikon        JAA129DA   \n",
       "18208019359         16695  Nikon        JAA329DA   \n",
       "18208019403         16649  Nikon        JAA330DA   \n",
       "18208021376         17973  Nikon        JAA013DA   \n",
       "18208021444         17882  Nikon        JAA784DA   \n",
       "18208021475         18560  Nikon        JAA788DA   \n",
       "18208021604         16127  Nikon        JAA630DB   \n",
       "18208021635         21599  Nikon        JAA801DA   \n",
       "18208021642         21601  Nikon        JAA802DA   \n",
       "18208021772         25445  Nikon        JAA632DB   \n",
       "18208021789         25429  Nikon        JAA800DA   \n",
       "18208021802         28797  Nikon        JAA014DA   \n",
       "18208021826         37676  Nikon        JAA806DB   \n",
       "18208021864         39001  Nikon        JAA339DA   \n",
       "18208021871         38890  Nikon        JAA809DA   \n",
       "18208021888         40366  Nikon        JAA340DA   \n",
       "18208021925         32377  Nikon        JAA813DA   \n",
       "18208021956         39937  Nikon        JAA338DA   \n",
       "18208021987         40365  Nikon        JAA134DA   \n",
       "18208022014         55871  Nikon        JAA341DA   \n",
       "18208022038         56816  Nikon        JAA135DA   \n",
       "18208022052         58528  Nikon        JAA531DA   \n",
       "18208022083         58879  Nikon        JAA817EA   \n",
       "18208022106         59488  Nikon        JAA136DA   \n",
       "18208022137         58946  Nikon        JAA819DA   \n",
       "18208022151         71409  Nikon        JAA137DA   \n",
       "...                   ...    ...             ...   \n",
       "8024221640335       76766  Gitzo   GK0545T-82TQD   \n",
       "8024221640342       76768  Gitzo   GK1555T-82TQD   \n",
       "8024221640359       76767  Gitzo   GK1545T-82TQD   \n",
       "8024221640397       76765  Gitzo         GT1545T   \n",
       "8024221640403       76769  Gitzo         GT2545T   \n",
       "8714574593623       65480  Canon        8035B024   \n",
       "8714574623641       63987  Canon      9167B021AA   \n",
       "8714574627502       69581  Canon        8035B127   \n",
       "8714574627823       69774  Canon        0592C015   \n",
       "8714574627946       69775  Canon        0592C022   \n",
       "8714574628059       69784  Canon        0021C017   \n",
       "8714574628080       69786  Canon        0582C010   \n",
       "8714574628219       69776  Canon        0592C029   \n",
       "8714574635309       62704  Canon        0931C010   \n",
       "8714574636351       74141  Canon        1263C027   \n",
       "8714574636429       74147  Canon        1263C034   \n",
       "8714574636504       74148  Canon        1263C042   \n",
       "8714574637235       71978  Canon        1160C023   \n",
       "8714574637266       74217  Canon        1160C026   \n",
       "8714574645933       72726  Canon        9694B233   \n",
       "8714574645957       72692  Canon        1483C025   \n",
       "8714574646589       78088  Canon        1279C047   \n",
       "8714574650494       79923  Canon      1895C031AA   \n",
       "8714574651620       80128  Canon      1791C016AA   \n",
       "8714574651651       80127  Canon      1792C014AA   \n",
       "8714574651705       80465  Canon      1263C154AA   \n",
       "8714574653594       11010  Canon      2250C028AA   \n",
       "8714574654539       10549  Canon        2209C049   \n",
       "8714574654546       10553  Canon        2210C049   \n",
       "8714574654553       10555  Canon        2211C049   \n",
       "\n",
       "                                                           title  \\\n",
       "gtin_ean                                                           \n",
       "18208019021    Nikon AF 1,4/50 D Nikon FX  | 100 Wochen Zusat...   \n",
       "18208019106    Nikon AF 2,8/16 D Fisheye Nikon FX  | 100 Woch...   \n",
       "18208019137    Nikon AF 2,8/20 D Nikon FX  | 100 Wochen Zusat...   \n",
       "18208019229    Nikon AF 2,8/28 D Nikon FX  | 100 Wochen Zusat...   \n",
       "18208019236    Nikon AF 2,0/35 D Nikon FX  | 100 Wochen Zusat...   \n",
       "18208019359    Nikon AF 2,0/135 D DC Nikon FX  | 100 Wochen Z...   \n",
       "18208019403    Nikon AF 2,8/180 IF ED D Nikon FX  | 100 Woche...   \n",
       "18208021376    Nikon AF 1,8/50 D Nikon FX  | 100 Wochen Zusat...   \n",
       "18208021444    Nikon AF-S DX 4,0/12-24 G IF-ED schwarz Nikon ...   \n",
       "18208021475    Nikon AF-S DX 2,8/17-55 G IF-ED Nikon DX  | 10...   \n",
       "18208021604    Nikon AF-S 2,8/105 G IF-ED VR Micro Nikon FX  ...   \n",
       "18208021635    Nikon AF-S 2,8/14-24 G ED Nikon FX  | 100 Woch...   \n",
       "18208021642    Nikon AF-S 2,8/24-70 G ED IF Nikon FX  | 100 W...   \n",
       "18208021772    Nikon AF-S 2,8/60 G-ED Micro Nikon FX  | 100 W...   \n",
       "18208021789    Nikon AF-S DX 3,5-5,6/16-85 G-ED VR Nikon DX  ...   \n",
       "18208021802    Nikon AF-S 1,4/50 G Nikon FX  | 100 Wochen Zus...   \n",
       "18208021826    Nikon AF-S 4,0/16-35 ED VR Nikon FX  | 100 Woc...   \n",
       "18208021864    Nikon AF-S 2,8/300 ED VR II Nikon FX  | 100 Wo...   \n",
       "18208021871    Nikon AF-S 4,0/200-400 G ED VR II Nikon FX  | ...   \n",
       "18208021888    Nikon AF-S 2,0/200 ED VR II Nikon FX  | 100 Wo...   \n",
       "18208021925    Nikon AF-S DX 3,5-5,6/18-200 G ED VR II Nikon ...   \n",
       "18208021956    Nikon AF-S 1,4/85 G Nikon FX  | 100 Wochen Zus...   \n",
       "18208021987    Nikon AF-S 1,4/35 G Nikon FX  | 100 Wochen Zus...   \n",
       "18208022014    Nikon AF-S 1,8/85 G Nikon FX  | 100 Wochen Zus...   \n",
       "18208022038    Nikon AF-S 1,8/28 G Nikon FX  | 100 Wochen Zus...   \n",
       "18208022052    Nikon AF-S 5,6/800 FL ED VR Nikon FX  | 100 Wo...   \n",
       "18208022083    Nikon AF-S 4,5-5,6/80-400 G ED VR Nikon FX  | ...   \n",
       "18208022106    Nikon AF-S 1,4/58 G Nikon FX  | 100 Wochen Zus...   \n",
       "18208022137    Nikon AF-S DX 3,5-5,6/18-140 G ED VR Nikon DX ...   \n",
       "18208022151    Nikon AF-S 1,8/35 G ED Nikon FX  | 100 Wochen ...   \n",
       "...                                                          ...   \n",
       "8024221640335  Gitzo Traveler Kit Serie 0, 4 Segm., mit Kopf ...   \n",
       "8024221640342  Gitzo Traveler Kit, Ser.1 5 Segm. GT1555T + Ko...   \n",
       "8024221640359  Gitzo Traveler Kit, Ser.1 4 Segm. GT1545T mit ...   \n",
       "8024221640397  Gitzo Traveler Stativ Serie 1, 4 Segmente Carb...   \n",
       "8024221640403  Gitzo Traveler Stativ Serie 2, 4 Segmente Carb...   \n",
       "8714574593623                               Canon EOS 6D Gehäuse   \n",
       "8714574623641            Canon PowerShot G1X Mark II Premium Kit   \n",
       "8714574627502             Canon EOS 6D,EF 3,5-5,6/24-105  IS STM   \n",
       "8714574627823                             Canon EOS 750D Gehäuse   \n",
       "8714574627946           Canon EOS 750D,EF-S 3,5-5,6/18-55 IS STM   \n",
       "8714574628059                             Canon EOS 760D Gehäuse   \n",
       "8714574628080                            Canon EOS 5Ds R Gehäuse   \n",
       "8714574628219          Canon EOS 750D,EF-S 3,5-5,6/18-135 IS STM   \n",
       "8714574635309                     Canon EOS 1D X Mark II Gehäuse   \n",
       "8714574636351                              Canon EOS 80D Gehäuse   \n",
       "8714574636429            Canon EOS 80D,EF-S 3,5-5,6/18-55 IS STM   \n",
       "8714574636504           Canon EOS 80D,EF-S 3,5-5,6/18-135 IS USM   \n",
       "8714574637235                               Canon EOS 1300D Body   \n",
       "8714574637266                   Canon EOS 1300D,EF-S 18-55 IS II   \n",
       "8714574645933                     Canon EOS M3 EF-M 15-45 IS STM   \n",
       "8714574645957                       Canon EOS 5D Mark IV Gehäuse   \n",
       "8714574646589      Canon EOS M5 mit EF-M 1:3,5-6,3/18-150 IS STM   \n",
       "8714574650494  Canon EOS 800D Kit inkl. EF-S 3,5-5,6/18-200 m...   \n",
       "8714574651620        Canon PowerShot SX730 HS Travel Kit schwarz   \n",
       "8714574651651         Canon PowerShot SX730 HS Travel Kit silber   \n",
       "8714574651705                Canon EOS 80D Kit 3,5-5,6/18-200 IS   \n",
       "8714574653594      Canon EOS 200D EF-S 3,5-5,6 / 18-135mm IS STM   \n",
       "8714574654539           Canon EOS M100 EF-M 15-45 IS STM schwarz   \n",
       "8714574654546              Canon EOS M100 EF-M 15-45 IS STM weiß   \n",
       "8714574654553              Canon EOS M100 EF-M 15-45 IS STM grau   \n",
       "\n",
       "                  min_price     price   max_price        date      class  \\\n",
       "gtin_ean                                                                   \n",
       "18208019021      284.761905    299.00    313.9500  2017-12-08          1   \n",
       "18208019106      741.904762    779.00    817.9500  2017-12-08          1   \n",
       "18208019137      541.904762    569.00    597.4500  2017-12-08          1   \n",
       "18208019229      303.809524    319.00    334.9500  2017-12-08          1   \n",
       "18208019236      302.771429    317.91    333.8055  2017-12-08          1   \n",
       "18208019359     1265.714286   1329.00   1395.4500  2017-12-08          1   \n",
       "18208019403      856.190476    899.00    943.9500  2017-12-08          1   \n",
       "18208021376      125.895238    132.19    138.7995  2017-12-08          1   \n",
       "18208021444     1052.380952   1105.00   1160.2500  2017-12-08          1   \n",
       "18208021475     1475.238095   1549.00   1626.4500  2017-12-08          1   \n",
       "18208021604      789.419048    828.89    870.3345  2017-12-08          1   \n",
       "18208021635     1729.514286   1815.99   1906.7895  2017-12-08          1   \n",
       "18208021642     1618.095238   1699.00   1783.9500  2017-12-08          1   \n",
       "18208021772      533.228571    559.89    587.8845  2017-12-08          1   \n",
       "18208021789      618.085714    648.99    681.4395  2017-12-08          1   \n",
       "18208021802      418.095238    439.00    460.9500  2017-12-08          1   \n",
       "18208021826     1141.904762   1199.00   1258.9500  2017-12-08          1   \n",
       "18208021864     5214.276190   5474.99   5748.7395  2017-12-08          1   \n",
       "18208021871     6599.047619   6929.00   7275.4500  2017-12-08          1   \n",
       "18208021888     5176.190476   5435.00   5706.7500  2017-12-08  Not found   \n",
       "18208021925      675.238095    709.00    744.4500  2017-12-08          1   \n",
       "18208021956     1475.238095   1549.00   1626.4500  2017-12-08          1   \n",
       "18208021987     1690.476190   1775.00   1863.7500  2017-12-08          1   \n",
       "18208022014      467.514286    490.89    515.4345  2017-12-08          1   \n",
       "18208022038      608.571429    639.00    670.9500  2017-12-08          1   \n",
       "18208022052    17141.904762  17999.00  18898.9500  2017-12-08  Not found   \n",
       "18208022083     2284.761905   2399.00   2518.9500  2017-12-08          1   \n",
       "18208022106     1497.095238   1571.95   1650.5475  2017-12-08          1   \n",
       "18208022137      385.666667    404.95    425.1975  2017-12-08          1   \n",
       "18208022151      500.000000    525.00    551.2500  2017-12-08          1   \n",
       "...                     ...       ...         ...         ...        ...   \n",
       "8024221640335    706.666667    742.00    779.1000  2017-12-08          1   \n",
       "8024221640342    798.095238    838.00    879.9000  2017-12-08          1   \n",
       "8024221640359    760.904762    798.95    838.8975  2017-12-08          1   \n",
       "8024221640397    522.857143    549.00    576.4500  2017-12-08          1   \n",
       "8024221640403    711.428571    747.00    784.3500  2017-12-08          1   \n",
       "8714574593623   1313.333333   1379.00   1447.9500  2017-12-08          1   \n",
       "8714574623641    684.761905    719.00    754.9500  2017-12-08          1   \n",
       "8714574627502   1713.333333   1799.00   1888.9500  2017-12-08          1   \n",
       "8714574627823    522.857143    549.00    576.4500  2017-12-08          1   \n",
       "8714574627946    599.047619    629.00    660.4500  2017-12-08          1   \n",
       "8714574628059    637.142857    669.00    702.4500  2017-12-08          1   \n",
       "8714574628080   3427.619048   3599.00   3778.9500  2017-12-08          1   \n",
       "8714574628219    766.657143    804.99    845.2395  2017-12-08          1   \n",
       "8714574635309   5999.047619   6299.00   6613.9500  2017-12-08  Not found   \n",
       "8714574636351    951.428571    999.00   1048.9500  2017-12-08          1   \n",
       "8714574636429   1046.666667   1099.00   1153.9500  2017-12-08          1   \n",
       "8714574636504   1300.085714   1365.09   1433.3445  2017-12-08          1   \n",
       "8714574637235    294.285714    309.00    324.4500  2017-12-08          1   \n",
       "8714574637266    365.704762    383.99    403.1895  2017-12-08          1   \n",
       "8714574645933    475.238095    499.00    523.9500  2017-12-08          1   \n",
       "8714574645957   3522.857143   3699.00   3883.9500  2017-12-08          1   \n",
       "8714574646589   1237.142857   1299.00   1363.9500  2017-12-08          1   \n",
       "8714574650494   1046.666667   1099.00   1153.9500  2017-12-08          1   \n",
       "8714574651620    360.952381    379.00    397.9500  2017-12-08          1   \n",
       "8714574651651    360.952381    379.00    397.9500  2017-12-08          1   \n",
       "8714574651705   1380.000000   1449.00   1521.4500  2017-12-08          1   \n",
       "8714574653594    842.857143    885.00    929.2500  2017-12-08          1   \n",
       "8714574654539    570.476190    599.00    628.9500  2017-12-08          1   \n",
       "8714574654546    570.476190    599.00    628.9500  2017-12-08          1   \n",
       "8714574654553    570.476190    599.00    628.9500  2017-12-08          1   \n",
       "\n",
       "               amount_of_sellers  \\\n",
       "gtin_ean                           \n",
       "18208019021                  5.0   \n",
       "18208019106                  4.0   \n",
       "18208019137                  6.0   \n",
       "18208019229                  7.0   \n",
       "18208019236                  2.0   \n",
       "18208019359                  3.0   \n",
       "18208019403                  2.0   \n",
       "18208021376                 21.0   \n",
       "18208021444                 11.0   \n",
       "18208021475                  5.0   \n",
       "18208021604                 14.0   \n",
       "18208021635                  6.0   \n",
       "18208021642                  6.0   \n",
       "18208021772                  6.0   \n",
       "18208021789                 18.0   \n",
       "18208021802                  9.0   \n",
       "18208021826                 13.0   \n",
       "18208021864                  2.0   \n",
       "18208021871                  3.0   \n",
       "18208021888                  NaN   \n",
       "18208021925                 16.0   \n",
       "18208021956                  6.0   \n",
       "18208021987                  1.0   \n",
       "18208022014                  9.0   \n",
       "18208022038                  4.0   \n",
       "18208022052                  NaN   \n",
       "18208022083                  2.0   \n",
       "18208022106                  3.0   \n",
       "18208022137                 15.0   \n",
       "18208022151                  3.0   \n",
       "...                          ...   \n",
       "8024221640335                1.0   \n",
       "8024221640342                1.0   \n",
       "8024221640359                1.0   \n",
       "8024221640397                1.0   \n",
       "8024221640403                1.0   \n",
       "8714574593623               32.0   \n",
       "8714574623641                5.0   \n",
       "8714574627502                5.0   \n",
       "8714574627823               27.0   \n",
       "8714574627946               52.0   \n",
       "8714574628059                8.0   \n",
       "8714574628080                2.0   \n",
       "8714574628219               27.0   \n",
       "8714574635309                NaN   \n",
       "8714574636351               15.0   \n",
       "8714574636429               17.0   \n",
       "8714574636504                9.0   \n",
       "8714574637235               11.0   \n",
       "8714574637266               47.0   \n",
       "8714574645933                7.0   \n",
       "8714574645957                7.0   \n",
       "8714574646589               13.0   \n",
       "8714574650494                9.0   \n",
       "8714574651620                3.0   \n",
       "8714574651651                3.0   \n",
       "8714574651705                2.0   \n",
       "8714574653594                7.0   \n",
       "8714574654539               28.0   \n",
       "8714574654546               19.0   \n",
       "8714574654553               22.0   \n",
       "\n",
       "                                            product_name_channel  \\\n",
       "gtin_ean                                                           \n",
       "18208019021    Nikon AF Nikkor 50mm 1:1,4D Objektiv (52 mm Fi...   \n",
       "18208019106         Nikon AF Fisheye-Nikkor 16mm 1:2,8D Objektiv   \n",
       "18208019137    Nikon AF D 20/2.8 Nikkor Superweitwinkel-Objek...   \n",
       "18208019229    Nikon AF Nikkor 28 mm/2,8 D Objektiv (52mm Fil...   \n",
       "18208019236    Nikon AF Nikkor 35 mm/2,0 D Objektiv (52mm Fil...   \n",
       "18208019359                                   Nikon 135/2,0 DC D   \n",
       "18208019403    Nikon AF 180 mm/2,8 D Objektiv (72mm Filtergew...   \n",
       "18208021376    Nikon AF Nikkor 50mm 1:1,8D Objektiv (52mm Fil...   \n",
       "18208021444    Nikon AF-S DX Zoom-Nikkor 12-24mm 1:4G IF-ED O...   \n",
       "18208021475    Nikon AF-S DX Zoom-Nikkor 17-55mm 1:2,8G IF-ED...   \n",
       "18208021604    Nikon AF-S Micro-Nikkor 105mm 1:2,8G VR Objekt...   \n",
       "18208021635    Nikon AF-S Zoom-Nikkor 14-24mm 1:2,8G ED Objek...   \n",
       "18208021642    Nikon AF-S Zoom-Nikkor 24-70mm 1:2,8G ED Objek...   \n",
       "18208021772    Nikon AF-S Micro Nikkor 60mm/2.8G ED Objektiv ...   \n",
       "18208021789    Nikon AF-S DX Nikkor 16-85mm 1:3,5-5,6G ED VR ...   \n",
       "18208021802    Nikon AF-S Nikkor 50mm 1:1,4G Objektiv (58mm F...   \n",
       "18208021826    Nikon AF-S Nikkor 16-35mm 1:4G ED VR Objektiv ...   \n",
       "18208021864    Nikon AF-S Nikkor 300mm 1:2.8G ED VR II Objekt...   \n",
       "18208021871    Nikon AF-S Nikkor 200-400 mm F4G ED VR II Obje...   \n",
       "18208021888                                                  NaN   \n",
       "18208021925    Nikon AF-S DX Nikkor 18-200mm 1:3,5-5,6 G ED V...   \n",
       "18208021956    Nikon AF-S 85mm 1:1.4G Objektiv (77 mm Filterg...   \n",
       "18208021987    Nikon AF-S Nikkor 35 mm 1:1,4G Objektiv (67 mm...   \n",
       "18208022014              Nikon AF-S NIKKOR 85 mm 1:1,8G Objektiv   \n",
       "18208022038    Nikon AF-S Nikkor 28mm 1:1,8G Objektiv inkl. H...   \n",
       "18208022052                                                  NaN   \n",
       "18208022083    Nikon AF-S NIKKOR 80-400 mm 1:4,5-5,6G ED VR O...   \n",
       "18208022106    Nikon 58 mm / F 1.4 AF-S G Objektiv ( Nikon F-...   \n",
       "18208022137    Nikon AF-S DX Nikkor 18–140mm 1:3,5-5,6G ED VR...   \n",
       "18208022151                     Nikon AF-S nikkor 35mm f/1.8G ED   \n",
       "...                                                          ...   \n",
       "8024221640335  Gitzo Traveler Stativ Kit Series 0, 4-Segmente...   \n",
       "8024221640342  Gitzo Traveler Stativ Kit Series 1, 5-Segmente...   \n",
       "8024221640359  Gitzo Traveler Stativ Kit Series 1, 4-Segmente...   \n",
       "8024221640397  Gitzo Traveler Stativ Series 1, 4-Segmente Car...   \n",
       "8024221640403  Gitzo Traveler Stativ Series 2, 4-Segmente Car...   \n",
       "8714574593623  Canon EOS 6D SLR-Digitalkamera (20,2 Megapixel...   \n",
       "8714574623641                      POWERSHOT G1X MARKII PREM KIT   \n",
       "8714574627502  Canon EOS 6D SLR-Digitalkamera (20,2 Megapixel...   \n",
       "8714574627823  Canon EOS 750D SLR-Digitalkamera (24 Megapixel...   \n",
       "8714574627946  Canon EOS 750D SLR-Digitalkamera (24 Megapixel...   \n",
       "8714574628059                                   EOS 760D Gehäuse   \n",
       "8714574628080  Canon EOS 5DS R Body , speziell für die ultima...   \n",
       "8714574628219  Canon EOS 750D SLR-Digitalkamera (24 Megapixel...   \n",
       "8714574635309                                                NaN   \n",
       "8714574636351  Canon EOS 80D SLR-Digitalkamera Gehäuse (24,2 ...   \n",
       "8714574636429  Canon EOS 80D 1263C034 SLR-Digitalkamera (24,2...   \n",
       "8714574636504  Canon EOS 80D SLR-Digitalkamera (24,2 Megapixe...   \n",
       "8714574637235  Canon EOS 1300D / Rebel T6 / KISS X80 ( 18.7 M...   \n",
       "8714574637266  Canon EOS 1300D Digitale Spiegelreflexkamera (...   \n",
       "8714574645933  Canon EOS M3 Systemkamera (24 Megapixel APS-C ...   \n",
       "8714574645957  Canon EOS 5D MARK IV 1483C025 Digitalkamera (3...   \n",
       "8714574646589  Canon EOS M5 18-150 / 3.5-6.3 EF-M IS STM / Mo...   \n",
       "8714574650494  Canon EOS 800D / EOS KISS X9I  18-200 / 3.5-5....   \n",
       "8714574651620  Canon PowerShot SX730 HS schwarz Travel Kit, D...   \n",
       "8714574651651         Canon PowerShot SX730 HS silber Travel Kit   \n",
       "8714574651705                     Canon EOS 80D Kit 18-200 mm IS   \n",
       "8714574653594  Canon EOS 200D Digitale Spiegelreflexkamera (2...   \n",
       "8714574654539  Canon EOS M100 Systemkamera (24,2MP, 7,5 cm (3...   \n",
       "8714574654546  Canon EOS M100 Systemkamera (24,2MP, 7,5 cm (3...   \n",
       "8714574654553  Canon EOS M100 Systemkamera (24,2MP, 7,5 cm (3...   \n",
       "\n",
       "                                               seller  reviews  rating_stars  \\\n",
       "gtin_ean                                                                       \n",
       "18208019021                                    Vitrax      3.0           4.5   \n",
       "18208019106                                    amazon      NaN           NaN   \n",
       "18208019137                                    amazon  43054.0           5.0   \n",
       "18208019229                                    amazon     12.0           4.5   \n",
       "18208019236                                    amazon      NaN           NaN   \n",
       "18208019359                                    amazon      NaN           NaN   \n",
       "18208019403                                    amazon      NaN           NaN   \n",
       "18208021376                           DUKE FOTOGRAFÍA      2.0           4.5   \n",
       "18208021444                             PC-Tech Store     64.0           5.0   \n",
       "18208021475             AS-Versand Preise inkl. MwSt.   1541.0           4.5   \n",
       "18208021604                           IGLM ELECTRONIC     19.0           5.0   \n",
       "18208021635                                    amazon  43054.0           5.0   \n",
       "18208021642                                  Vladrein      5.0           4.0   \n",
       "18208021772                          High Tech moving      5.0           5.0   \n",
       "18208021789                                    amazon      NaN           NaN   \n",
       "18208021802                           IGLM ELECTRONIC     19.0           3.5   \n",
       "18208021826             AS-Versand Preise inkl. MwSt.     58.0           4.5   \n",
       "18208021864                               DA TECH PRO    182.0           4.0   \n",
       "18208021871                               DA TECH PRO    182.0           4.0   \n",
       "18208021888                                       NaN      NaN           NaN   \n",
       "18208021925                           DUKE FOTOGRAFÍA    172.0           4.5   \n",
       "18208021956                               Bee-Tech-IT     19.0           5.0   \n",
       "18208021987                                    amazon      NaN           NaN   \n",
       "18208022014               Goldene Handelsgesellschaft    720.0           5.0   \n",
       "18208022038                             Foto Oehlmann  37623.0           5.0   \n",
       "18208022052                                       NaN      NaN           NaN   \n",
       "18208022083                                    amazon      NaN           NaN   \n",
       "18208022106                                    amazon      NaN           NaN   \n",
       "18208022137                     Euronics XXL Moschcau      6.0           3.5   \n",
       "18208022151                                    amazon      NaN           NaN   \n",
       "...                                               ...      ...           ...   \n",
       "8024221640335                                  amazon      NaN           NaN   \n",
       "8024221640342                                  amazon      3.0          27.0   \n",
       "8024221640359                                  amazon      3.0          27.0   \n",
       "8024221640397                                  amazon      NaN           NaN   \n",
       "8024221640403                                  amazon      1.0          50.0   \n",
       "8714574593623                      Electronic-Service      6.0           4.5   \n",
       "8714574623641                           Foto Oehlmann    121.0           5.0   \n",
       "8714574627502                           Foto Oehlmann     19.0           5.0   \n",
       "8714574627823                           Foto Oehlmann     19.0           5.0   \n",
       "8714574627946  DASTRO ® --- Einfach. Genial. Günstig.     33.0           4.5   \n",
       "8714574628059                               Lang GmbH    700.0           4.5   \n",
       "8714574628080                           Foto Oehlmann  37623.0           5.0   \n",
       "8714574628219                         IGLM ELECTRONIC     19.0           4.5   \n",
       "8714574635309                                     NaN      NaN           NaN   \n",
       "8714574636351                                Big-Deal      3.0           2.5   \n",
       "8714574636429  DASTRO ® --- Einfach. Genial. Günstig.     19.0           4.5   \n",
       "8714574636504                               Brikoland     19.0           2.5   \n",
       "8714574637235                           BluePARTSTORE      6.0           3.5   \n",
       "8714574637266                              CyberPhoto      3.0           4.5   \n",
       "8714574645933                                  amazon    100.0           5.0   \n",
       "8714574645957                          Deltatecc GmbH     19.0           4.5   \n",
       "8714574646589                             DiscoverBox    700.0           4.5   \n",
       "8714574650494                                 Achatpc     19.0           4.0   \n",
       "8714574651620                          KÖSTER MÜNSTER    707.0           5.0   \n",
       "8714574651651                          KÖSTER MÜNSTER    707.0           5.0   \n",
       "8714574651705                              Districlic   2434.0           4.5   \n",
       "8714574653594                             DiscoverBox    707.0           4.0   \n",
       "8714574654539                              ELECTRONIS    707.0           4.5   \n",
       "8714574654546                              ELECTRONIS      6.0           4.5   \n",
       "8714574654553                    1Deins Computer GmbH    707.0           4.5   \n",
       "\n",
       "              delivery_time.1  price.1  price_with_shipping  shipping_cost.1  \\\n",
       "gtin_ean                                                                       \n",
       "18208019021                 1   329.73               329.73              0.0   \n",
       "18208019106                 1   759.00               759.00              0.0   \n",
       "18208019137                 1   554.99               554.99              0.0   \n",
       "18208019229                10   309.75               314.99              0.0   \n",
       "18208019236                 1   317.91               317.91              0.0   \n",
       "18208019359                 1  1335.00              1335.00              0.0   \n",
       "18208019403                 1   895.00               895.00              0.0   \n",
       "18208021376              -334   118.98               118.98              0.0   \n",
       "18208021444                 1  1082.90              1082.90              0.0   \n",
       "18208021475                 1  1525.00              1525.00              0.0   \n",
       "18208021604                 1   829.00               829.00              0.0   \n",
       "18208021635                 1  1819.00              1819.00              0.0   \n",
       "18208021642                 1  1363.19              1366.19              0.0   \n",
       "18208021772                 1   539.99               552.99              0.0   \n",
       "18208021789                 1   645.00               645.00              0.0   \n",
       "18208021802              -334   449.00               449.00              0.0   \n",
       "18208021826                 1   999.00               999.00              0.0   \n",
       "18208021864                12  4999.00              5002.00              0.0   \n",
       "18208021871     not available  7286.37              7286.37              0.0   \n",
       "18208021888               NaN      NaN                  NaN              NaN   \n",
       "18208021925                 1   599.99               608.99              0.0   \n",
       "18208021956                 1  1539.00              1539.00              0.0   \n",
       "18208021987                 1  1769.00              1769.00              0.0   \n",
       "18208022014                 1   499.00               499.00              0.0   \n",
       "18208022038                 1   645.00               645.00              0.0   \n",
       "18208022052               NaN      NaN                  NaN              NaN   \n",
       "18208022083                 1  2382.95              2382.95              0.0   \n",
       "18208022106     not available  1583.60              1583.60              0.0   \n",
       "18208022137                 1   294.00               294.00              0.0   \n",
       "18208022151                 1   512.95               512.95              0.0   \n",
       "...                       ...      ...                  ...              ...   \n",
       "8024221640335               3   744.00               744.00              0.0   \n",
       "8024221640342               3   829.99               829.99              0.0   \n",
       "8024221640359               3   755.00               755.00              0.0   \n",
       "8024221640397               3   549.00               549.00              0.0   \n",
       "8024221640403               3   747.00               747.00              0.0   \n",
       "8714574593623              10  1149.19              1149.19              0.0   \n",
       "8714574623641              12   789.00               789.00              0.0   \n",
       "8714574627502               1  1604.99              1604.99              0.0   \n",
       "8714574627823               1   529.90               534.89              0.0   \n",
       "8714574627946               1   598.00               598.00              0.0   \n",
       "8714574628059               5   770.00               772.90              0.0   \n",
       "8714574628080               5  3798.00              3798.00              0.0   \n",
       "8714574628219               1   804.89               804.89              0.0   \n",
       "8714574635309             NaN      NaN                  NaN              NaN   \n",
       "8714574636351               1   985.00               985.00              0.0   \n",
       "8714574636429               1  1089.00              1089.00              0.0   \n",
       "8714574636504               1  1339.09              1339.09              0.0   \n",
       "8714574637235              12   288.38               288.38              0.0   \n",
       "8714574637266               1   370.00               370.00              0.0   \n",
       "8714574645933               1   512.91               512.91              0.0   \n",
       "8714574645957              10  3489.99              3500.07              0.0   \n",
       "8714574646589               1  1309.00              1309.00              0.0   \n",
       "8714574650494            -323  1084.99              1084.99              0.0   \n",
       "8714574651620              12   349.00               349.00              0.0   \n",
       "8714574651651              12   339.66               339.66              0.0   \n",
       "8714574651705              10  1522.88              1522.88              0.0   \n",
       "8714574653594            -323   829.99               829.99              0.0   \n",
       "8714574654539               1   550.89               550.89              0.0   \n",
       "8714574654546               1   545.99               545.99              0.0   \n",
       "8714574654553               1   519.00               519.00              0.0   \n",
       "\n",
       "               suggested_retail_price                                 url  \n",
       "gtin_ean                                                                   \n",
       "18208019021                       NaN  http://www.amazon.de/dp/B00005LENO  \n",
       "18208019106                       NaN  http://www.amazon.de/dp/B00005QIZ8  \n",
       "18208019137                       NaN  http://www.amazon.de/dp/B00005LEOC  \n",
       "18208019229                       NaN  http://www.amazon.de/dp/B00005LE71  \n",
       "18208019236                       NaN  http://www.amazon.de/dp/B00005LE72  \n",
       "18208019359                    1539.0  http://www.amazon.de/dp/B00006I5J4  \n",
       "18208019403                       NaN  http://www.amazon.de/dp/B00005LEOI  \n",
       "18208021376                       NaN  http://www.amazon.de/dp/B00005LEN4  \n",
       "18208021444                       NaN  http://www.amazon.de/dp/B000092M1T  \n",
       "18208021475                       NaN  http://www.amazon.de/dp/B000144I2Q  \n",
       "18208021604                       NaN  http://www.amazon.de/dp/B000EOSHGQ  \n",
       "18208021635                       NaN  http://www.amazon.de/dp/B000VDCTCI  \n",
       "18208021642                       NaN  http://www.amazon.de/dp/B000VDCT3C  \n",
       "18208021772                       NaN  http://www.amazon.de/dp/B0013A1XDY  \n",
       "18208021789                       NaN  http://www.amazon.de/dp/B0013A1XDE  \n",
       "18208021802                       NaN  http://www.amazon.de/dp/B001GCVA0U  \n",
       "18208021826                       NaN  http://www.amazon.de/dp/B0037KM0XA  \n",
       "18208021864                       NaN  http://www.amazon.de/dp/B0030BEVEW  \n",
       "18208021871                       NaN  http://www.amazon.de/dp/B003JBHSHK  \n",
       "18208021888                       NaN                                 NaN  \n",
       "18208021925                       NaN  http://www.amazon.de/dp/B002JCSV8A  \n",
       "18208021956                       NaN  http://www.amazon.de/dp/B003ZSHNE0  \n",
       "18208021987                       NaN  http://www.amazon.de/dp/B0042X9LB0  \n",
       "18208022014                       NaN  http://www.amazon.de/dp/B006TAP096  \n",
       "18208022038                       NaN  http://www.amazon.de/dp/B007VGGIRK  \n",
       "18208022052                       NaN                                 NaN  \n",
       "18208022083                       NaN  http://www.amazon.de/dp/B00BOZ1Y46  \n",
       "18208022106                       NaN  http://www.amazon.de/dp/B00FY3T9DW  \n",
       "18208022137                       NaN  http://www.amazon.de/dp/B00ECGX8FM  \n",
       "18208022151                       NaN  http://www.amazon.de/dp/B00HQ4W4XO  \n",
       "...                               ...                                 ...  \n",
       "8024221640335                     NaN  http://www.amazon.de/dp/B016NSFTV2  \n",
       "8024221640342                     NaN  http://www.amazon.de/dp/B016NSFTYO  \n",
       "8024221640359                     NaN  http://www.amazon.de/dp/B016NSFTUI  \n",
       "8024221640397                     NaN  http://www.amazon.de/dp/B016NSFTIK  \n",
       "8024221640403                     NaN  http://www.amazon.de/dp/B015XPNZTE  \n",
       "8714574593623                     NaN  http://www.amazon.de/dp/B009C6WYTS  \n",
       "8714574623641                     NaN  http://www.amazon.de/dp/B00LHPE0BC  \n",
       "8714574627502                     NaN  http://www.amazon.de/dp/B00SH1TIAW  \n",
       "8714574627823                   699.0  http://www.amazon.de/dp/B00TFDDNJI  \n",
       "8714574627946                   799.0  http://www.amazon.de/dp/B00TFDDNNO  \n",
       "8714574628059                     NaN  http://www.amazon.de/dp/B00TWIO6TC  \n",
       "8714574628080                     NaN  http://www.amazon.de/dp/B00TLMUQ5C  \n",
       "8714574628219                  1069.0  http://www.amazon.de/dp/B00TFDDNZM  \n",
       "8714574635309                     NaN                                 NaN  \n",
       "8714574636351                  1339.0  http://www.amazon.de/dp/B01C2XJVPC  \n",
       "8714574636429                  1445.0  http://www.amazon.de/dp/B01C2XJWZ6  \n",
       "8714574636504                  1765.0  http://www.amazon.de/dp/B01CJMBXUC  \n",
       "8714574637235                     NaN  http://www.amazon.de/dp/B01CSRUVHO  \n",
       "8714574637266                   505.0  http://www.amazon.de/dp/B01CQPABLE  \n",
       "8714574645933                   599.0  http://www.amazon.de/dp/B01J1I9WQE  \n",
       "8714574645957                     NaN  http://www.amazon.de/dp/B01L8U5924  \n",
       "8714574646589                     NaN  http://www.amazon.de/dp/B01M15M32S  \n",
       "8714574650494                     NaN  http://www.amazon.de/dp/B06X94H266  \n",
       "8714574651620                     NaN  http://www.amazon.de/dp/B06Y48C2C8  \n",
       "8714574651651                     NaN  http://www.amazon.de/dp/B06Y4CH4VN  \n",
       "8714574651705                     NaN  http://www.amazon.de/dp/B06XVPZ3SL  \n",
       "8714574653594                  1099.0  http://www.amazon.de/dp/B073D5KCKV  \n",
       "8714574654539                   599.0  http://www.amazon.de/dp/B0757T349W  \n",
       "8714574654546                   599.0  http://www.amazon.de/dp/B0757VFXJP  \n",
       "8714574654553                   599.0  http://www.amazon.de/dp/B07584MVB7  \n",
       "\n",
       "[492 rows x 20 columns]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2_gtin_min"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2_gtin_max=df2.groupby(['gtin_ean']).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2_gtin= pd.DataFrame()\n",
    "df2_gtin.insert(loc=0,column='max_price', value=df2_gtin_max['price_with_shipping'])\n",
    "df2_gtin.insert(loc=0,column='min_price', value=df2_gtin_min['price_with_shipping'])\n",
    "df2_gtin['price_difference']= df2_gtin['max_price']- df2_gtin['min_price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gtin_ean\n",
       "4022243116672    16345.34\n",
       "6958265127250     2421.95\n",
       "8714574650494     2108.96\n",
       "4960999207322     1948.00\n",
       "8714574653594     1873.96\n",
       "18208200634       1842.60\n",
       "4549292078787     1621.52\n",
       "6958265107276     1601.95\n",
       "6958265141225     1501.00\n",
       "4549292084085     1495.41\n",
       "Name: price_difference, dtype: float64"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Welche Produkte haben innerhalb Top10 höchste Spreizung\n",
    "df2_gtin['price_difference'].nlargest(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min_price</th>\n",
       "      <th>max_price</th>\n",
       "      <th>price_difference</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtin_ean</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18208019021</th>\n",
       "      <td>329.73</td>\n",
       "      <td>473.65</td>\n",
       "      <td>143.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019106</th>\n",
       "      <td>759.00</td>\n",
       "      <td>759.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019137</th>\n",
       "      <td>554.99</td>\n",
       "      <td>691.50</td>\n",
       "      <td>136.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019229</th>\n",
       "      <td>314.99</td>\n",
       "      <td>326.75</td>\n",
       "      <td>11.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019236</th>\n",
       "      <td>317.91</td>\n",
       "      <td>317.91</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019359</th>\n",
       "      <td>1335.00</td>\n",
       "      <td>1335.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208019403</th>\n",
       "      <td>895.00</td>\n",
       "      <td>895.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021376</th>\n",
       "      <td>118.98</td>\n",
       "      <td>306.00</td>\n",
       "      <td>187.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021444</th>\n",
       "      <td>1082.90</td>\n",
       "      <td>1105.00</td>\n",
       "      <td>22.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021475</th>\n",
       "      <td>1525.00</td>\n",
       "      <td>1554.38</td>\n",
       "      <td>29.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021604</th>\n",
       "      <td>829.00</td>\n",
       "      <td>978.67</td>\n",
       "      <td>149.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021635</th>\n",
       "      <td>1819.00</td>\n",
       "      <td>2279.00</td>\n",
       "      <td>460.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021642</th>\n",
       "      <td>1366.19</td>\n",
       "      <td>1699.00</td>\n",
       "      <td>332.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021772</th>\n",
       "      <td>552.99</td>\n",
       "      <td>599.00</td>\n",
       "      <td>46.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021789</th>\n",
       "      <td>645.00</td>\n",
       "      <td>645.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021802</th>\n",
       "      <td>449.00</td>\n",
       "      <td>519.20</td>\n",
       "      <td>70.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021826</th>\n",
       "      <td>999.00</td>\n",
       "      <td>1756.48</td>\n",
       "      <td>757.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021864</th>\n",
       "      <td>5002.00</td>\n",
       "      <td>5310.07</td>\n",
       "      <td>308.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021871</th>\n",
       "      <td>7286.37</td>\n",
       "      <td>7286.37</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021888</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021925</th>\n",
       "      <td>608.99</td>\n",
       "      <td>886.33</td>\n",
       "      <td>277.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021956</th>\n",
       "      <td>1539.00</td>\n",
       "      <td>1721.46</td>\n",
       "      <td>182.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208021987</th>\n",
       "      <td>1769.00</td>\n",
       "      <td>1769.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022014</th>\n",
       "      <td>499.00</td>\n",
       "      <td>734.00</td>\n",
       "      <td>235.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022038</th>\n",
       "      <td>645.00</td>\n",
       "      <td>685.00</td>\n",
       "      <td>40.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022052</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022083</th>\n",
       "      <td>2382.95</td>\n",
       "      <td>2382.95</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022106</th>\n",
       "      <td>1583.60</td>\n",
       "      <td>1583.60</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022137</th>\n",
       "      <td>294.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>266.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18208022151</th>\n",
       "      <td>512.95</td>\n",
       "      <td>512.95</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640335</th>\n",
       "      <td>744.00</td>\n",
       "      <td>744.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640342</th>\n",
       "      <td>829.99</td>\n",
       "      <td>829.99</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640359</th>\n",
       "      <td>755.00</td>\n",
       "      <td>755.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640397</th>\n",
       "      <td>549.00</td>\n",
       "      <td>549.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8024221640403</th>\n",
       "      <td>747.00</td>\n",
       "      <td>747.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574593623</th>\n",
       "      <td>1149.19</td>\n",
       "      <td>1709.99</td>\n",
       "      <td>560.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574623641</th>\n",
       "      <td>789.00</td>\n",
       "      <td>905.90</td>\n",
       "      <td>116.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574627502</th>\n",
       "      <td>1604.99</td>\n",
       "      <td>1998.00</td>\n",
       "      <td>393.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574627823</th>\n",
       "      <td>534.89</td>\n",
       "      <td>600.00</td>\n",
       "      <td>65.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574627946</th>\n",
       "      <td>598.00</td>\n",
       "      <td>644.63</td>\n",
       "      <td>46.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574628059</th>\n",
       "      <td>772.90</td>\n",
       "      <td>1015.25</td>\n",
       "      <td>242.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574628080</th>\n",
       "      <td>3798.00</td>\n",
       "      <td>3798.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574628219</th>\n",
       "      <td>804.89</td>\n",
       "      <td>870.17</td>\n",
       "      <td>65.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574635309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574636351</th>\n",
       "      <td>985.00</td>\n",
       "      <td>1793.60</td>\n",
       "      <td>808.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574636429</th>\n",
       "      <td>1089.00</td>\n",
       "      <td>1274.43</td>\n",
       "      <td>185.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574636504</th>\n",
       "      <td>1339.09</td>\n",
       "      <td>2562.00</td>\n",
       "      <td>1222.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574637235</th>\n",
       "      <td>288.38</td>\n",
       "      <td>638.95</td>\n",
       "      <td>350.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574637266</th>\n",
       "      <td>370.00</td>\n",
       "      <td>409.63</td>\n",
       "      <td>39.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574645933</th>\n",
       "      <td>512.91</td>\n",
       "      <td>550.98</td>\n",
       "      <td>38.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574645957</th>\n",
       "      <td>3500.07</td>\n",
       "      <td>3761.52</td>\n",
       "      <td>261.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574646589</th>\n",
       "      <td>1309.00</td>\n",
       "      <td>1640.32</td>\n",
       "      <td>331.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574650494</th>\n",
       "      <td>1084.99</td>\n",
       "      <td>3193.95</td>\n",
       "      <td>2108.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574651620</th>\n",
       "      <td>349.00</td>\n",
       "      <td>379.00</td>\n",
       "      <td>30.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574651651</th>\n",
       "      <td>339.66</td>\n",
       "      <td>385.89</td>\n",
       "      <td>46.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574651705</th>\n",
       "      <td>1522.88</td>\n",
       "      <td>1659.00</td>\n",
       "      <td>136.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574653594</th>\n",
       "      <td>829.99</td>\n",
       "      <td>2703.95</td>\n",
       "      <td>1873.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574654539</th>\n",
       "      <td>550.89</td>\n",
       "      <td>613.52</td>\n",
       "      <td>62.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574654546</th>\n",
       "      <td>545.99</td>\n",
       "      <td>624.90</td>\n",
       "      <td>78.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714574654553</th>\n",
       "      <td>519.00</td>\n",
       "      <td>614.46</td>\n",
       "      <td>95.46</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>492 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               min_price  max_price  price_difference\n",
       "gtin_ean                                             \n",
       "18208019021       329.73     473.65            143.92\n",
       "18208019106       759.00     759.00              0.00\n",
       "18208019137       554.99     691.50            136.51\n",
       "18208019229       314.99     326.75             11.76\n",
       "18208019236       317.91     317.91              0.00\n",
       "18208019359      1335.00    1335.00              0.00\n",
       "18208019403       895.00     895.00              0.00\n",
       "18208021376       118.98     306.00            187.02\n",
       "18208021444      1082.90    1105.00             22.10\n",
       "18208021475      1525.00    1554.38             29.38\n",
       "18208021604       829.00     978.67            149.67\n",
       "18208021635      1819.00    2279.00            460.00\n",
       "18208021642      1366.19    1699.00            332.81\n",
       "18208021772       552.99     599.00             46.01\n",
       "18208021789       645.00     645.00              0.00\n",
       "18208021802       449.00     519.20             70.20\n",
       "18208021826       999.00    1756.48            757.48\n",
       "18208021864      5002.00    5310.07            308.07\n",
       "18208021871      7286.37    7286.37              0.00\n",
       "18208021888          NaN        NaN               NaN\n",
       "18208021925       608.99     886.33            277.34\n",
       "18208021956      1539.00    1721.46            182.46\n",
       "18208021987      1769.00    1769.00              0.00\n",
       "18208022014       499.00     734.00            235.00\n",
       "18208022038       645.00     685.00             40.00\n",
       "18208022052          NaN        NaN               NaN\n",
       "18208022083      2382.95    2382.95              0.00\n",
       "18208022106      1583.60    1583.60              0.00\n",
       "18208022137       294.00     560.00            266.00\n",
       "18208022151       512.95     512.95              0.00\n",
       "...                  ...        ...               ...\n",
       "8024221640335     744.00     744.00              0.00\n",
       "8024221640342     829.99     829.99              0.00\n",
       "8024221640359     755.00     755.00              0.00\n",
       "8024221640397     549.00     549.00              0.00\n",
       "8024221640403     747.00     747.00              0.00\n",
       "8714574593623    1149.19    1709.99            560.80\n",
       "8714574623641     789.00     905.90            116.90\n",
       "8714574627502    1604.99    1998.00            393.01\n",
       "8714574627823     534.89     600.00             65.11\n",
       "8714574627946     598.00     644.63             46.63\n",
       "8714574628059     772.90    1015.25            242.35\n",
       "8714574628080    3798.00    3798.00              0.00\n",
       "8714574628219     804.89     870.17             65.28\n",
       "8714574635309        NaN        NaN               NaN\n",
       "8714574636351     985.00    1793.60            808.60\n",
       "8714574636429    1089.00    1274.43            185.43\n",
       "8714574636504    1339.09    2562.00           1222.91\n",
       "8714574637235     288.38     638.95            350.57\n",
       "8714574637266     370.00     409.63             39.63\n",
       "8714574645933     512.91     550.98             38.07\n",
       "8714574645957    3500.07    3761.52            261.45\n",
       "8714574646589    1309.00    1640.32            331.32\n",
       "8714574650494    1084.99    3193.95           2108.96\n",
       "8714574651620     349.00     379.00             30.00\n",
       "8714574651651     339.66     385.89             46.23\n",
       "8714574651705    1522.88    1659.00            136.12\n",
       "8714574653594     829.99    2703.95           1873.96\n",
       "8714574654539     550.89     613.52             62.63\n",
       "8714574654546     545.99     624.90             78.91\n",
       "8714574654553     519.00     614.46             95.46\n",
       "\n",
       "[492 rows x 3 columns]"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Mittelwert/Median ab wann keine Versandkosten anfallen ??? \n",
    "df2.groupby(['gtin_ean'])['shipping_cost.1'].head()\n",
    "df2_gtin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Groupby Verkäufer => Grenze fuer mit/ohne Versandkosten\n",
    "seller_shipping_cost_max= df2.groupby('seller').max()\n",
    "seller_shipping_cost_min= df2.groupby('seller').min()\n",
    "seller_shipping_cost= pd.DataFrame()\n",
    "seller_shipping_cost.insert(loc=0,column='max_cost', value=seller_shipping_cost_max['shipping_cost.1'])\n",
    "seller_shipping_cost.insert(loc=0,column='min_cost', value=seller_shipping_cost_min['shipping_cost.1'])\n",
    "seller_shipping_cost['shipping_cost_diff']= seller_shipping_cost['max_cost']- seller_shipping_cost['min_cost']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['1A Star', '1A-PHOTO-PORST', '1Deins Computer GmbH', '1n1n1',\n",
       "       '@FoliX GmbH', 'ADLACARVA', 'AFA-Fotohandel e.K.',\n",
       "       'APPAREL CONNECT (VAT REGISTERED SELLER)',\n",
       "       'AS-Versand Preise inkl. MwSt.', 'Achatpc',\n",
       "       ...\n",
       "       'studioexpress', 'tecedo', 'technikbilliger', 'telefonia ok srl',\n",
       "       'toneart gmbh',\n",
       "       'versando - kostenloser DE-Paketversand in 1-2 Tagen ab 9€ - NEU/OVP - Top Qualität!',\n",
       "       'vollfarbdrucker-de Ihre Office Experten', 'wowcamera', 'xobbox',\n",
       "       '• plentino Store • günstig Kaufen • schnelle Lieferung • ab 40€ Paketversand kostenfrei •'],\n",
       "      dtype='object', name='seller', length=291)"
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seller_shipping_cost.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>min_cost</th>\n",
       "      <th>max_cost</th>\n",
       "      <th>shipping_cost_diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seller</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>@FoliX GmbH</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AndorraFreeMarket</th>\n",
       "      <td>8.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BF2</th>\n",
       "      <td>7.35</td>\n",
       "      <td>7.56</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bee-Tech-IT</th>\n",
       "      <td>22.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BluePARTSTORE</th>\n",
       "      <td>9.76</td>\n",
       "      <td>12.88</td>\n",
       "      <td>3.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brikoland</th>\n",
       "      <td>13.41</td>\n",
       "      <td>14.17</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crumpler</th>\n",
       "      <td>0.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyfrowe.pl</th>\n",
       "      <td>5.12</td>\n",
       "      <td>7.22</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DA TECH PRO</th>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FreeShopping</th>\n",
       "      <td>9.21</td>\n",
       "      <td>10.89</td>\n",
       "      <td>1.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gicastore Italia</th>\n",
       "      <td>15.45</td>\n",
       "      <td>21.04</td>\n",
       "      <td>5.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hamradioshop</th>\n",
       "      <td>12.78</td>\n",
       "      <td>26.34</td>\n",
       "      <td>13.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IGLM ELECTRONIC</th>\n",
       "      <td>0.00</td>\n",
       "      <td>10.62</td>\n",
       "      <td>10.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEGA-Foto</th>\n",
       "      <td>0.00</td>\n",
       "      <td>4.99</td>\n",
       "      <td>4.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medialand4you, Händler &amp;amp; Versand aus Deutschland</th>\n",
       "      <td>0.00</td>\n",
       "      <td>4.99</td>\n",
       "      <td>4.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minfo lda</th>\n",
       "      <td>20.32</td>\n",
       "      <td>24.07</td>\n",
       "      <td>3.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Penniwise</th>\n",
       "      <td>0.00</td>\n",
       "      <td>5.99</td>\n",
       "      <td>5.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProComponentes</th>\n",
       "      <td>13.55</td>\n",
       "      <td>14.20</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speth Foto Video GmbH</th>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tech &amp;amp; Hobby</th>\n",
       "      <td>0.00</td>\n",
       "      <td>9.95</td>\n",
       "      <td>9.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tienda Siglo XXI</th>\n",
       "      <td>8.86</td>\n",
       "      <td>9.04</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yeppon</th>\n",
       "      <td>8.90</td>\n",
       "      <td>30.20</td>\n",
       "      <td>21.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carmcameras</th>\n",
       "      <td>0.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>14.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nrsolutions</th>\n",
       "      <td>10.03</td>\n",
       "      <td>10.22</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profi-shop-expresss</th>\n",
       "      <td>0.00</td>\n",
       "      <td>5.99</td>\n",
       "      <td>5.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tecedo</th>\n",
       "      <td>0.00</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    min_cost  max_cost  \\\n",
       "seller                                                                   \n",
       "@FoliX GmbH                                             0.00      0.98   \n",
       "AndorraFreeMarket                                       8.99      9.99   \n",
       "BF2                                                     7.35      7.56   \n",
       "Bee-Tech-IT                                            22.00     30.00   \n",
       "BluePARTSTORE                                           9.76     12.88   \n",
       "Brikoland                                              13.41     14.17   \n",
       "Crumpler                                                0.00      5.00   \n",
       "Cyfrowe.pl                                              5.12      7.22   \n",
       "DA TECH PRO                                             0.00      3.00   \n",
       "FreeShopping                                            9.21     10.89   \n",
       "Gicastore Italia                                       15.45     21.04   \n",
       "Hamradioshop                                           12.78     26.34   \n",
       "IGLM ELECTRONIC                                         0.00     10.62   \n",
       "MEGA-Foto                                               0.00      4.99   \n",
       "Medialand4you, Händler &amp; Versand aus Deutsc...      0.00      4.99   \n",
       "Minfo lda                                              20.32     24.07   \n",
       "Penniwise                                               0.00      5.99   \n",
       "ProComponentes                                         13.55     14.20   \n",
       "Speth Foto Video GmbH                                   0.00      3.00   \n",
       "Tech &amp; Hobby                                        0.00      9.95   \n",
       "Tienda Siglo XXI                                        8.86      9.04   \n",
       "Yeppon                                                  8.90     30.20   \n",
       "carmcameras                                             0.00     14.00   \n",
       "nrsolutions                                            10.03     10.22   \n",
       "profi-shop-expresss                                     0.00      5.99   \n",
       "tecedo                                                  0.00      6.50   \n",
       "\n",
       "                                                    shipping_cost_diff  \n",
       "seller                                                                  \n",
       "@FoliX GmbH                                                       0.98  \n",
       "AndorraFreeMarket                                                 1.00  \n",
       "BF2                                                               0.21  \n",
       "Bee-Tech-IT                                                       8.00  \n",
       "BluePARTSTORE                                                     3.12  \n",
       "Brikoland                                                         0.76  \n",
       "Crumpler                                                          5.00  \n",
       "Cyfrowe.pl                                                        2.10  \n",
       "DA TECH PRO                                                       3.00  \n",
       "FreeShopping                                                      1.68  \n",
       "Gicastore Italia                                                  5.59  \n",
       "Hamradioshop                                                     13.56  \n",
       "IGLM ELECTRONIC                                                  10.62  \n",
       "MEGA-Foto                                                         4.99  \n",
       "Medialand4you, Händler &amp; Versand aus Deutsc...                4.99  \n",
       "Minfo lda                                                         3.75  \n",
       "Penniwise                                                         5.99  \n",
       "ProComponentes                                                    0.65  \n",
       "Speth Foto Video GmbH                                             3.00  \n",
       "Tech &amp; Hobby                                                  9.95  \n",
       "Tienda Siglo XXI                                                  0.18  \n",
       "Yeppon                                                           21.30  \n",
       "carmcameras                                                      14.00  \n",
       "nrsolutions                                                       0.19  \n",
       "profi-shop-expresss                                               5.99  \n",
       "tecedo                                                            6.50  "
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seller_shipping_cost[seller_shipping_cost['shipping_cost_diff']>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "89.9"
      ]
     },
     "execution_count": 252,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crumpler[crumpler['shipping_cost.1']==0]['price.1'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [],
   "source": [
    "crumpler= df2.loc[df2['seller']=='Crumpler']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [],
   "source": [
    "def shipping_cost_from(seller):\n",
    "    seller= df2.loc[df2['seller']==seller]\n",
    "    return seller[seller['shipping_cost.1']==0]['price.1'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "39.9\n"
     ]
    }
   ],
   "source": [
    "print(shipping_cost_from('1A Star'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [],
   "source": [
    "price_from=[]\n",
    "for item in seller_shipping_cost.index:\n",
    "    price_from.append(shipping_cost_from(item))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [],
   "source": [
    "seller_shipping_cost.insert(loc=0,column='no_shipping_cost_from', value=price_from)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>no_shipping_cost_from</th>\n",
       "      <th>min_cost</th>\n",
       "      <th>max_cost</th>\n",
       "      <th>shipping_cost_diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seller</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1A Star</th>\n",
       "      <td>39.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1A-PHOTO-PORST</th>\n",
       "      <td>89.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1Deins Computer GmbH</th>\n",
       "      <td>42.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1n1n1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>@FoliX GmbH</th>\n",
       "      <td>7.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADLACARVA</th>\n",
       "      <td>NaN</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AFA-Fotohandel e.K.</th>\n",
       "      <td>123.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APPAREL CONNECT (VAT REGISTERED SELLER)</th>\n",
       "      <td>151.72</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AS-Versand Preise inkl. MwSt.</th>\n",
       "      <td>218.41</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Achatpc</th>\n",
       "      <td>187.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acquista Sicuro spediamo da italia</th>\n",
       "      <td>228.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AlexandreFr</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Amazon</th>\n",
       "      <td>54.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AndorraFreeMarket</th>\n",
       "      <td>NaN</td>\n",
       "      <td>8.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ArchElectronics</th>\n",
       "      <td>699.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BESTONTHENET</th>\n",
       "      <td>NaN</td>\n",
       "      <td>18.65</td>\n",
       "      <td>18.65</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEWEARABLE</th>\n",
       "      <td>150.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BF2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7.35</td>\n",
       "      <td>7.56</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bartolucci S.r.l.</th>\n",
       "      <td>166.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bee-Tech-IT</th>\n",
       "      <td>NaN</td>\n",
       "      <td>22.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bezahlbar</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Big Lens</th>\n",
       "      <td>NaN</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Big-Deal</th>\n",
       "      <td>1793.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blackdove-cameras</th>\n",
       "      <td>NaN</td>\n",
       "      <td>25.00</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BluePARTSTORE</th>\n",
       "      <td>NaN</td>\n",
       "      <td>9.76</td>\n",
       "      <td>12.88</td>\n",
       "      <td>3.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brikoland</th>\n",
       "      <td>NaN</td>\n",
       "      <td>13.41</td>\n",
       "      <td>14.17</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BuySmartStore</th>\n",
       "      <td>140.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CBär</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEUSELECT</th>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CKD FASHION</th>\n",
       "      <td>325.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multimediaonlineshop</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>myHobby24</th>\n",
       "      <td>479.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mySWOOOP® GmbH</th>\n",
       "      <td>812.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nox divendo</th>\n",
       "      <td>466.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nrsolutions</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.03</td>\n",
       "      <td>10.22</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>okluge</th>\n",
       "      <td>33.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>onAd Shop</th>\n",
       "      <td>413.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>phonetech</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.99</td>\n",
       "      <td>2.99</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photo-porst-neuwied</th>\n",
       "      <td>856.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>powermaus81</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price-guard</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.95</td>\n",
       "      <td>3.95</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profi-shop-expresss</th>\n",
       "      <td>27.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.99</td>\n",
       "      <td>5.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quick66</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7.06</td>\n",
       "      <td>7.06</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reluxshop</th>\n",
       "      <td>NaN</td>\n",
       "      <td>27.55</td>\n",
       "      <td>27.55</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>schlueter-mobile</th>\n",
       "      <td>38.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>schreiner-modellbau</th>\n",
       "      <td>42.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>segler16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shop-ar</th>\n",
       "      <td>67.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sorgetrading</th>\n",
       "      <td>114.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stroeherwarenhandel</th>\n",
       "      <td>94.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>studioexpress</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.90</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tecedo</th>\n",
       "      <td>259.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>technikbilliger</th>\n",
       "      <td>117.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>telefonia ok srl</th>\n",
       "      <td>139.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>toneart gmbh</th>\n",
       "      <td>698.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versando - kostenloser DE-Paketversand in 1-2 Tagen ab 9€ - NEU/OVP - Top Qualität!</th>\n",
       "      <td>550.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vollfarbdrucker-de Ihre Office Experten</th>\n",
       "      <td>65.55</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wowcamera</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.98</td>\n",
       "      <td>10.98</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xobbox</th>\n",
       "      <td>18.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>• plentino Store • günstig Kaufen • schnelle Lieferung • ab 40€ Paketversand kostenfrei •</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>291 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    no_shipping_cost_from  \\\n",
       "seller                                                                      \n",
       "1A Star                                                             39.90   \n",
       "1A-PHOTO-PORST                                                      89.00   \n",
       "1Deins Computer GmbH                                                42.73   \n",
       "1n1n1                                                                 NaN   \n",
       "@FoliX GmbH                                                          7.49   \n",
       "ADLACARVA                                                             NaN   \n",
       "AFA-Fotohandel e.K.                                                123.49   \n",
       "APPAREL CONNECT (VAT REGISTERED SELLER)                            151.72   \n",
       "AS-Versand Preise inkl. MwSt.                                      218.41   \n",
       "Achatpc                                                            187.36   \n",
       "Acquista Sicuro spediamo da italia                                 228.20   \n",
       "AlexandreFr                                                           NaN   \n",
       "Amazon                                                              54.99   \n",
       "AndorraFreeMarket                                                     NaN   \n",
       "ArchElectronics                                                    699.99   \n",
       "BESTONTHENET                                                          NaN   \n",
       "BEWEARABLE                                                         150.01   \n",
       "BF2                                                                   NaN   \n",
       "Bartolucci S.r.l.                                                  166.01   \n",
       "Bee-Tech-IT                                                           NaN   \n",
       "Bezahlbar                                                             NaN   \n",
       "Big Lens                                                              NaN   \n",
       "Big-Deal                                                          1793.60   \n",
       "Blackdove-cameras                                                     NaN   \n",
       "BluePARTSTORE                                                         NaN   \n",
       "Brikoland                                                             NaN   \n",
       "BuySmartStore                                                      140.00   \n",
       "CBär                                                                  NaN   \n",
       "CEUSELECT                                                             NaN   \n",
       "CKD FASHION                                                        325.00   \n",
       "...                                                                   ...   \n",
       "multimediaonlineshop                                                  NaN   \n",
       "myHobby24                                                          479.00   \n",
       "mySWOOOP® GmbH                                                     812.48   \n",
       "nox divendo                                                        466.34   \n",
       "nrsolutions                                                           NaN   \n",
       "okluge                                                              33.39   \n",
       "onAd Shop                                                          413.00   \n",
       "phonetech                                                             NaN   \n",
       "photo-porst-neuwied                                                856.00   \n",
       "powermaus81                                                           NaN   \n",
       "price-guard                                                           NaN   \n",
       "profi-shop-expresss                                                 27.51   \n",
       "quick66                                                               NaN   \n",
       "reluxshop                                                             NaN   \n",
       "schlueter-mobile                                                    38.90   \n",
       "schreiner-modellbau                                                 42.40   \n",
       "segler16                                                              NaN   \n",
       "shop-ar                                                             67.69   \n",
       "sorgetrading                                                       114.00   \n",
       "stroeherwarenhandel                                                 94.98   \n",
       "studioexpress                                                         NaN   \n",
       "tecedo                                                             259.00   \n",
       "technikbilliger                                                    117.21   \n",
       "telefonia ok srl                                                   139.00   \n",
       "toneart gmbh                                                       698.99   \n",
       "versando - kostenloser DE-Paketversand in 1-2 T...                 550.98   \n",
       "vollfarbdrucker-de Ihre Office Experten                             65.55   \n",
       "wowcamera                                                             NaN   \n",
       "xobbox                                                              18.00   \n",
       "• plentino Store • günstig Kaufen • schnelle Li...                1285.00   \n",
       "\n",
       "                                                    min_cost  max_cost  \\\n",
       "seller                                                                   \n",
       "1A Star                                                 0.00      0.00   \n",
       "1A-PHOTO-PORST                                          0.00      0.00   \n",
       "1Deins Computer GmbH                                    0.00      0.00   \n",
       "1n1n1                                                   3.00      3.00   \n",
       "@FoliX GmbH                                             0.00      0.98   \n",
       "ADLACARVA                                               9.99      9.99   \n",
       "AFA-Fotohandel e.K.                                     0.00      0.00   \n",
       "APPAREL CONNECT (VAT REGISTERED SELLER)                 0.00      0.00   \n",
       "AS-Versand Preise inkl. MwSt.                           0.00      0.00   \n",
       "Achatpc                                                 0.00      0.00   \n",
       "Acquista Sicuro spediamo da italia                      0.00      0.00   \n",
       "AlexandreFr                                             3.00      3.00   \n",
       "Amazon                                                  0.00      0.00   \n",
       "AndorraFreeMarket                                       8.99      9.99   \n",
       "ArchElectronics                                         0.00      0.00   \n",
       "BESTONTHENET                                           18.65     18.65   \n",
       "BEWEARABLE                                              0.00      0.00   \n",
       "BF2                                                     7.35      7.56   \n",
       "Bartolucci S.r.l.                                       0.00      0.00   \n",
       "Bee-Tech-IT                                            22.00     30.00   \n",
       "Bezahlbar                                               5.00      5.00   \n",
       "Big Lens                                                6.00      6.00   \n",
       "Big-Deal                                                0.00      0.00   \n",
       "Blackdove-cameras                                      25.00     25.00   \n",
       "BluePARTSTORE                                           9.76     12.88   \n",
       "Brikoland                                              13.41     14.17   \n",
       "BuySmartStore                                           0.00      0.00   \n",
       "CBär                                                    2.00      2.00   \n",
       "CEUSELECT                                               9.00      9.00   \n",
       "CKD FASHION                                             0.00      0.00   \n",
       "...                                                      ...       ...   \n",
       "multimediaonlineshop                                    3.00      3.00   \n",
       "myHobby24                                               0.00      0.00   \n",
       "mySWOOOP® GmbH                                          0.00      0.00   \n",
       "nox divendo                                             0.00      0.00   \n",
       "nrsolutions                                            10.03     10.22   \n",
       "okluge                                                  0.00      0.00   \n",
       "onAd Shop                                               0.00      0.00   \n",
       "phonetech                                               2.99      2.99   \n",
       "photo-porst-neuwied                                     0.00      0.00   \n",
       "powermaus81                                             3.00      3.00   \n",
       "price-guard                                             3.95      3.95   \n",
       "profi-shop-expresss                                     0.00      5.99   \n",
       "quick66                                                 7.06      7.06   \n",
       "reluxshop                                              27.55     27.55   \n",
       "schlueter-mobile                                        0.00      0.00   \n",
       "schreiner-modellbau                                     0.00      0.00   \n",
       "segler16                                                3.00      3.00   \n",
       "shop-ar                                                 0.00      0.00   \n",
       "sorgetrading                                            0.00      0.00   \n",
       "stroeherwarenhandel                                     0.00      0.00   \n",
       "studioexpress                                           7.90      7.90   \n",
       "tecedo                                                  0.00      6.50   \n",
       "technikbilliger                                         0.00      0.00   \n",
       "telefonia ok srl                                        0.00      0.00   \n",
       "toneart gmbh                                            0.00      0.00   \n",
       "versando - kostenloser DE-Paketversand in 1-2 T...      0.00      0.00   \n",
       "vollfarbdrucker-de Ihre Office Experten                 0.00      0.00   \n",
       "wowcamera                                              10.98     10.98   \n",
       "xobbox                                                  0.00      0.00   \n",
       "• plentino Store • günstig Kaufen • schnelle Li...      0.00      0.00   \n",
       "\n",
       "                                                    shipping_cost_diff  \n",
       "seller                                                                  \n",
       "1A Star                                                           0.00  \n",
       "1A-PHOTO-PORST                                                    0.00  \n",
       "1Deins Computer GmbH                                              0.00  \n",
       "1n1n1                                                             0.00  \n",
       "@FoliX GmbH                                                       0.98  \n",
       "ADLACARVA                                                         0.00  \n",
       "AFA-Fotohandel e.K.                                               0.00  \n",
       "APPAREL CONNECT (VAT REGISTERED SELLER)                           0.00  \n",
       "AS-Versand Preise inkl. MwSt.                                     0.00  \n",
       "Achatpc                                                           0.00  \n",
       "Acquista Sicuro spediamo da italia                                0.00  \n",
       "AlexandreFr                                                       0.00  \n",
       "Amazon                                                            0.00  \n",
       "AndorraFreeMarket                                                 1.00  \n",
       "ArchElectronics                                                   0.00  \n",
       "BESTONTHENET                                                      0.00  \n",
       "BEWEARABLE                                                        0.00  \n",
       "BF2                                                               0.21  \n",
       "Bartolucci S.r.l.                                                 0.00  \n",
       "Bee-Tech-IT                                                       8.00  \n",
       "Bezahlbar                                                         0.00  \n",
       "Big Lens                                                          0.00  \n",
       "Big-Deal                                                          0.00  \n",
       "Blackdove-cameras                                                 0.00  \n",
       "BluePARTSTORE                                                     3.12  \n",
       "Brikoland                                                         0.76  \n",
       "BuySmartStore                                                     0.00  \n",
       "CBär                                                              0.00  \n",
       "CEUSELECT                                                         0.00  \n",
       "CKD FASHION                                                       0.00  \n",
       "...                                                                ...  \n",
       "multimediaonlineshop                                              0.00  \n",
       "myHobby24                                                         0.00  \n",
       "mySWOOOP® GmbH                                                    0.00  \n",
       "nox divendo                                                       0.00  \n",
       "nrsolutions                                                       0.19  \n",
       "okluge                                                            0.00  \n",
       "onAd Shop                                                         0.00  \n",
       "phonetech                                                         0.00  \n",
       "photo-porst-neuwied                                               0.00  \n",
       "powermaus81                                                       0.00  \n",
       "price-guard                                                       0.00  \n",
       "profi-shop-expresss                                               5.99  \n",
       "quick66                                                           0.00  \n",
       "reluxshop                                                         0.00  \n",
       "schlueter-mobile                                                  0.00  \n",
       "schreiner-modellbau                                               0.00  \n",
       "segler16                                                          0.00  \n",
       "shop-ar                                                           0.00  \n",
       "sorgetrading                                                      0.00  \n",
       "stroeherwarenhandel                                               0.00  \n",
       "studioexpress                                                     0.00  \n",
       "tecedo                                                            6.50  \n",
       "technikbilliger                                                   0.00  \n",
       "telefonia ok srl                                                  0.00  \n",
       "toneart gmbh                                                      0.00  \n",
       "versando - kostenloser DE-Paketversand in 1-2 T...                0.00  \n",
       "vollfarbdrucker-de Ihre Office Experten                           0.00  \n",
       "wowcamera                                                         0.00  \n",
       "xobbox                                                            0.00  \n",
       "• plentino Store • günstig Kaufen • schnelle Li...                0.00  \n",
       "\n",
       "[291 rows x 4 columns]"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seller_shipping_cost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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