drug_jupyter.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot  as plt\n",
    "import seaborn as sns\n",
    "drug=pd.read_csv(\"/Users/Mehr/Desktop/data/drug.csv\",dtype={'patient_id':'int8',\n",
    "                                                            'drugName':'category',\n",
    "                                                            \"condition\":\"category\",\n",
    "                                                            \"review\":\"str\",\n",
    "                                                            \"rating\":\"int8\",\n",
    "                                                            'usefulCount':'int8',\n",
    "                                                            'review_length':'int16'})\n",
    "\n",
    "\n",
    "drug['date'] = pd.to_datetime(drug['date'])\n",
    "drug_original=pd.read_csv(\"/Users/Mehr/Desktop/data/drug.csv\")\n",
    "drug.drop(['Unnamed: 0','patient_id'],axis=1,inplace=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>drugName</th>\n",
       "      <th>condition</th>\n",
       "      <th>review</th>\n",
       "      <th>rating</th>\n",
       "      <th>date</th>\n",
       "      <th>usefulCount</th>\n",
       "      <th>review_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mirtazapine</td>\n",
       "      <td>depression</td>\n",
       "      <td>\"i've tried a few antidepressants over the yea...</td>\n",
       "      <td>10</td>\n",
       "      <td>2012-02-28</td>\n",
       "      <td>22</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mesalamine</td>\n",
       "      <td>crohn's disease, maintenance</td>\n",
       "      <td>\"my son has crohn's disease and has done very ...</td>\n",
       "      <td>8</td>\n",
       "      <td>2009-05-17</td>\n",
       "      <td>17</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Contrave</td>\n",
       "      <td>weight loss</td>\n",
       "      <td>\"contrave combines drugs that were used for al...</td>\n",
       "      <td>9</td>\n",
       "      <td>2017-03-05</td>\n",
       "      <td>35</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cyclafem 1 / 35</td>\n",
       "      <td>birth control</td>\n",
       "      <td>\"i have been on this birth control for one cyc...</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-10-22</td>\n",
       "      <td>4</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Zyclara</td>\n",
       "      <td>keratosis</td>\n",
       "      <td>\"4 days in on first 2 weeks.  using on arms an...</td>\n",
       "      <td>4</td>\n",
       "      <td>2014-07-03</td>\n",
       "      <td>13</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          drugName                     condition  \\\n",
       "0      Mirtazapine                    depression   \n",
       "1       Mesalamine  crohn's disease, maintenance   \n",
       "2         Contrave                   weight loss   \n",
       "3  Cyclafem 1 / 35                 birth control   \n",
       "4          Zyclara                     keratosis   \n",
       "\n",
       "                                              review  rating       date  \\\n",
       "0  \"i've tried a few antidepressants over the yea...      10 2012-02-28   \n",
       "1  \"my son has crohn's disease and has done very ...       8 2009-05-17   \n",
       "2  \"contrave combines drugs that were used for al...       9 2017-03-05   \n",
       "3  \"i have been on this birth control for one cyc...       9 2015-10-22   \n",
       "4  \"4 days in on first 2 weeks.  using on arms an...       4 2014-07-03   \n",
       "\n",
       "   usefulCount  review_length  \n",
       "0           22             68  \n",
       "1           17             48  \n",
       "2           35            143  \n",
       "3            4            149  \n",
       "4           13             60  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27200142\n",
      "37808962\n"
     ]
    }
   ],
   "source": [
    "print(drug.memory_usage(deep=True).sum())\n",
    "print(drug_original.memory_usage(deep=True).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 46108 entries, 0 to 46107\n",
      "Data columns (total 7 columns):\n",
      " #   Column         Non-Null Count  Dtype         \n",
      "---  ------         --------------  -----         \n",
      " 0   drugName       46108 non-null  category      \n",
      " 1   condition      46108 non-null  category      \n",
      " 2   review         46108 non-null  object        \n",
      " 3   rating         46108 non-null  int8          \n",
      " 4   date           46108 non-null  datetime64[ns]\n",
      " 5   usefulCount    46108 non-null  int8          \n",
      " 6   review_length  46108 non-null  int16         \n",
      "dtypes: category(2), datetime64[ns](1), int16(1), int8(2), object(1)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "drug.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as msno\n",
    "msno.matrix(drug)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       rating                review_length                  usefulCount  \\\n",
      "         mean median max min          mean median   max min        mean   \n",
      "rating                                                                    \n",
      "1         1.0    1.0   1   1     90.853663   88.0   559  31   14.174345   \n",
      "2         2.0    2.0   2   2     93.939842   92.0   405  31   14.943787   \n",
      "3         3.0    3.0   3   3     91.722941   90.0   346  31   14.320559   \n",
      "4         4.0    4.0   4   4     95.719008   94.5   287  31   14.476584   \n",
      "5         5.0    5.0   5   5     97.179616   99.0   374  31   15.187135   \n",
      "6         6.0    6.0   6   6     96.012903   96.0   368  31   17.963978   \n",
      "7         7.0    7.0   7   7     97.892622  101.0   233  31   20.195398   \n",
      "8         8.0    8.0   8   8     97.537710   99.0   285  31   24.427070   \n",
      "9         9.0    9.0   9   9     98.331661  100.0   511  31   25.758154   \n",
      "10       10.0   10.0  10  10     94.737391   94.0  1162  31   26.671337   \n",
      "\n",
      "                         \n",
      "       median  max  min  \n",
      "rating                   \n",
      "1         9.0  127 -123  \n",
      "2         8.0  125 -115  \n",
      "3         8.0  121 -116  \n",
      "4         8.0  125 -127  \n",
      "5         9.0  126 -120  \n",
      "6        12.0  125 -128  \n",
      "7        13.0  127 -127  \n",
      "8        17.0  127 -128  \n",
      "9        20.0  127 -128  \n",
      "10       21.0  127 -128  \n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#drug.info()\n",
    "grp=drug.groupby(\"rating\")[['rating','review_length','usefulCount']].agg([np.mean,np.median,max,min])\n",
    "print (grp)\n",
    "\n",
    "plt.plot(grp)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\">median</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usefulCount</th>\n",
       "      <th>-128</th>\n",
       "      <th>-127</th>\n",
       "      <th>-126</th>\n",
       "      <th>-125</th>\n",
       "      <th>-124</th>\n",
       "      <th>-123</th>\n",
       "      <th>-122</th>\n",
       "      <th>-121</th>\n",
       "      <th>-120</th>\n",
       "      <th>-119</th>\n",
       "      <th>...</th>\n",
       "      <th>119</th>\n",
       "      <th>120</th>\n",
       "      <th>121</th>\n",
       "      <th>122</th>\n",
       "      <th>123</th>\n",
       "      <th>124</th>\n",
       "      <th>125</th>\n",
       "      <th>126</th>\n",
       "      <th>127</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rating</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",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>129.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134</td>\n",
       "      <td>94</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.949747</td>\n",
       "      <td>33.941125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.419181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.272253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36.572129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36.362041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36.228709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>78.5</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>45.961941</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36.665034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.131525</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36.127067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>94.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>113.5</td>\n",
       "      <td>118.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>95</td>\n",
       "      <td>124</td>\n",
       "      <td>...</td>\n",
       "      <td>5.856620</td>\n",
       "      <td>20.840665</td>\n",
       "      <td>41.008129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>22.992752</td>\n",
       "      <td>8.082904</td>\n",
       "      <td>35.594943</td>\n",
       "      <td>37.832526</td>\n",
       "      <td>44.974437</td>\n",
       "      <td>35.819226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>59.0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>101.0</td>\n",
       "      <td>40.5</td>\n",
       "      <td>107.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>105.5</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>38.787578</td>\n",
       "      <td>32.852702</td>\n",
       "      <td>38.301436</td>\n",
       "      <td>29.845435</td>\n",
       "      <td>13.435029</td>\n",
       "      <td>30.100018</td>\n",
       "      <td>32.522300</td>\n",
       "      <td>37.466874</td>\n",
       "      <td>41.948778</td>\n",
       "      <td>37.562682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>96.5</td>\n",
       "      <td>101.0</td>\n",
       "      <td>95.5</td>\n",
       "      <td>105.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>93.5</td>\n",
       "      <td>102.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>82</td>\n",
       "      <td>123</td>\n",
       "      <td>...</td>\n",
       "      <td>33.743712</td>\n",
       "      <td>33.785537</td>\n",
       "      <td>25.964348</td>\n",
       "      <td>36.460696</td>\n",
       "      <td>36.157550</td>\n",
       "      <td>30.470770</td>\n",
       "      <td>29.349791</td>\n",
       "      <td>27.294612</td>\n",
       "      <td>43.805305</td>\n",
       "      <td>38.965567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>88.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>93.5</td>\n",
       "      <td>98.0</td>\n",
       "      <td>110</td>\n",
       "      <td>123</td>\n",
       "      <td>...</td>\n",
       "      <td>33.668740</td>\n",
       "      <td>29.164340</td>\n",
       "      <td>29.972094</td>\n",
       "      <td>34.897370</td>\n",
       "      <td>32.229145</td>\n",
       "      <td>28.898865</td>\n",
       "      <td>32.645214</td>\n",
       "      <td>32.140317</td>\n",
       "      <td>41.873591</td>\n",
       "      <td>37.716530</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 743 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            median                                                             \\\n",
       "usefulCount   -128   -127   -126   -125   -124   -123   -122   -121 -120 -119   \n",
       "rating                                                                          \n",
       "1              0.0    0.0    0.0    0.0    0.0  129.5    0.0    0.0  134   94   \n",
       "2              0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0    0   \n",
       "3              0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0    0   \n",
       "4              0.0   61.0    0.0    0.0    0.0   74.0    0.0    0.0    0    0   \n",
       "5              0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0   67    0   \n",
       "6            140.0    0.0    0.0   78.5   78.0    0.0    0.0    0.0    0    0   \n",
       "7              0.0  103.0    0.0   37.0   40.0   69.0   67.0  152.0    0   31   \n",
       "8             94.5    0.0   91.0  113.5  118.5    0.0  140.0  111.0   95  124   \n",
       "9             59.0   54.5  101.0   40.5  107.0   62.0   69.0  105.5  122   76   \n",
       "10            96.5  101.0   95.5  105.0  104.0   93.5  102.0   84.0   82  123   \n",
       "All           88.0   89.0   97.0  105.0  103.0   74.0   93.5   98.0  110  123   \n",
       "\n",
       "             ...        std                                              \\\n",
       "usefulCount  ...        119        120        121        122        123   \n",
       "rating       ...                                                          \n",
       "1            ...   0.000000   0.000000   0.000000   4.949747  33.941125   \n",
       "2            ...   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "3            ...   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "4            ...   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "5            ...   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "6            ...   0.000000   0.000000  45.961941   0.000000   0.000000   \n",
       "7            ...   0.000000  14.131525   0.000000   0.000000   0.000000   \n",
       "8            ...   5.856620  20.840665  41.008129   0.000000  22.992752   \n",
       "9            ...  38.787578  32.852702  38.301436  29.845435  13.435029   \n",
       "10           ...  33.743712  33.785537  25.964348  36.460696  36.157550   \n",
       "All          ...  33.668740  29.164340  29.972094  34.897370  32.229145   \n",
       "\n",
       "                                                                    \n",
       "usefulCount        124        125        126        127        All  \n",
       "rating                                                              \n",
       "1             0.000000   0.000000  19.000000   0.000000  38.419181  \n",
       "2             0.000000   0.000000   0.000000   0.000000  37.272253  \n",
       "3             0.000000   0.000000   0.000000   0.000000  36.572129  \n",
       "4             0.000000   0.000000   0.000000   0.000000  36.362041  \n",
       "5             0.000000   0.000000   0.000000   0.000000  36.228709  \n",
       "6             0.000000   0.000000   0.000000   0.000000  36.665034  \n",
       "7             0.000000   0.000000   0.000000   0.000000  36.127067  \n",
       "8             8.082904  35.594943  37.832526  44.974437  35.819226  \n",
       "9            30.100018  32.522300  37.466874  41.948778  37.562682  \n",
       "10           30.470770  29.349791  27.294612  43.805305  38.965567  \n",
       "All          28.898865  32.645214  32.140317  41.873591  37.716530  \n",
       "\n",
       "[11 rows x 743 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug.pivot_table(values='review_length',index=\"rating\",columns='usefulCount',fill_value=0,margins=True,aggfunc=[np.median,np.mean,np.std])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "drugName         False\n",
       "condition        False\n",
       "review           False\n",
       "rating           False\n",
       "date             False\n",
       "usefulCount      False\n",
       "review_length    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug.isna().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.5532577 , 0.81785881, 0.67545391, 0.90502884, 0.91146491,\n",
       "       0.32840146, 0.52605504, 0.17451604, 0.86746728, 0.57667179,\n",
       "       0.36883782, 0.02287681, 0.21553265, 0.38254736, 0.06199424,\n",
       "       0.8594522 , 0.12331819, 0.85987104, 0.96211718, 0.45404038,\n",
       "       0.69836337, 0.52466745, 0.07908461, 0.6455372 , 0.1827537 ,\n",
       "       0.50380594, 0.66344504, 0.40492968, 0.71939333, 0.52837226,\n",
       "       0.08640998, 0.04126125, 0.98332057, 0.0251794 , 0.73200904,\n",
       "       0.86875828, 0.54972335, 0.94424458, 0.76979482, 0.35189867,\n",
       "       0.72889553, 0.50566404, 0.68197313, 0.78278942, 0.02709863,\n",
       "       0.51571733, 0.1307349 , 0.88597846, 0.47617216, 0.2046439 ,\n",
       "       0.41572924, 0.86396003, 0.99054387, 0.16621483, 0.28372473,\n",
       "       0.88580039, 0.49446266, 0.4162469 , 0.46705587, 0.23832232,\n",
       "       0.62651773, 0.88085875, 0.70044083, 0.32580235, 0.13575058,\n",
       "       0.00771767, 0.33376692, 0.77167478, 0.87760067, 0.44464223,\n",
       "       0.75852584, 0.50814717, 0.76689542, 0.1847642 , 0.36817069,\n",
       "       0.56968649, 0.29112351, 0.08038921, 0.41568445, 0.67723247,\n",
       "       0.18581537, 0.40470397, 0.09323709, 0.55880713, 0.51818232,\n",
       "       0.73849636, 0.64828948, 0.02186649, 0.98329855, 0.62298877,\n",
       "       0.32429673, 0.35824716, 0.29230493, 0.98480989, 0.23416812,\n",
       "       0.00440082, 0.68352559, 0.97197273, 0.29383595, 0.41993924,\n",
       "       0.43327576, 0.70122879, 0.45048851, 0.60696895, 0.41606039,\n",
       "       0.48598921, 0.12109409, 0.67173833, 0.29863781, 0.77765275,\n",
       "       0.01694283, 0.09643011, 0.36453375, 0.78811779, 0.76304811,\n",
       "       0.78467067, 0.4064733 , 0.80607368, 0.29349735, 0.76806248,\n",
       "       0.36952879, 0.1963546 , 0.22276386, 0.3517647 , 0.45130054,\n",
       "       0.3537933 , 0.90444454, 0.24672155, 0.21868983, 0.34666975,\n",
       "       0.52244763, 0.92720179, 0.5075747 , 0.39521399, 0.59504263,\n",
       "       0.25076302, 0.63430207, 0.69203277, 0.26576393, 0.53033191,\n",
       "       0.53235008, 0.6319222 , 0.1226971 , 0.73028353, 0.40235528,\n",
       "       0.6179108 , 0.98763265, 0.01516488, 0.33085418, 0.73913982,\n",
       "       0.62059556, 0.90274805, 0.08177039, 0.35513997, 0.64965031,\n",
       "       0.31361288, 0.83215852, 0.28875146, 0.65865244, 0.97036776,\n",
       "       0.8292007 , 0.69434189, 0.24087389, 0.59844206, 0.37300372,\n",
       "       0.23811616, 0.96651019, 0.09250051, 0.56268103, 0.33525987,\n",
       "       0.64069985, 0.82171344, 0.70910895, 0.05225856, 0.8228361 ,\n",
       "       0.21601695, 0.67078568, 0.20186652, 0.33999041, 0.05871215,\n",
       "       0.19244506, 0.23804436, 0.94929547, 0.8326811 , 0.95409801,\n",
       "       0.02340837, 0.12213966, 0.09043249, 0.76090372, 0.23381286,\n",
       "       0.86569092, 0.85419048, 0.35461691, 0.61993325, 0.25034404,\n",
       "       0.84899733, 0.07699605, 0.33148923, 0.28733303, 0.92369891,\n",
       "       0.84401798, 0.83555314, 0.56548066, 0.2957768 , 0.98308552,\n",
       "       0.64532404, 0.66870264, 0.93209552, 0.18820158, 0.73070199,\n",
       "       0.8976377 , 0.25178069, 0.43434662, 0.31941211, 0.41263153,\n",
       "       0.13677656, 0.17828199, 0.71173371, 0.75534648, 0.97041497,\n",
       "       0.0326357 , 0.32944705, 0.3729723 , 0.83948365, 0.13887401,\n",
       "       0.29312776, 0.14632486, 0.49056339, 0.06178561, 0.37739288,\n",
       "       0.9587237 , 0.7762209 , 0.10245584, 0.64945697, 0.08994843,\n",
       "       0.70122691, 0.18203672, 0.37429291, 0.10570952, 0.10344793,\n",
       "       0.35129982, 0.75362418, 0.77244336, 0.06942575, 0.37131719,\n",
       "       0.97190392, 0.92976491, 0.7121814 , 0.8994387 , 0.15465464,\n",
       "       0.23140758, 0.28272744, 0.71463959, 0.11419823, 0.43495905,\n",
       "       0.19619343, 0.40980289, 0.88436366, 0.50555488, 0.98068328,\n",
       "       0.39381787, 0.74756923, 0.100433  , 0.22893284, 0.23136939,\n",
       "       0.26702911, 0.86385623, 0.12411787, 0.33468144, 0.40508669,\n",
       "       0.65782449, 0.15546045, 0.34005334, 0.379163  , 0.14549259,\n",
       "       0.48473445, 0.87357209, 0.49440225, 0.27742635, 0.20735759,\n",
       "       0.12165479, 0.72397338, 0.38269201, 0.18939084, 0.85455267,\n",
       "       0.9035741 , 0.30805437, 0.03827796, 0.61680356, 0.47861546,\n",
       "       0.67579604, 0.40148808, 0.7981284 , 0.30811416, 0.25395983,\n",
       "       0.63096913, 0.54833436, 0.92478207, 0.58463261, 0.97721482,\n",
       "       0.23852104, 0.72672262, 0.93036308, 0.17763858, 0.31545974,\n",
       "       0.82303405, 0.53030484, 0.27414364, 0.45709374, 0.73442303,\n",
       "       0.07116359, 0.06112314, 0.60963508, 0.378161  , 0.33432872,\n",
       "       0.84742396, 0.48050355, 0.82937451, 0.31131504, 0.9816205 ,\n",
       "       0.85930938, 0.72176734, 0.61586571, 0.06938969, 0.56012093,\n",
       "       0.87514677, 0.92728798, 0.96861254, 0.09056582, 0.38417027,\n",
       "       0.60878111, 0.35207402, 0.60152641, 0.58554549, 0.56124858,\n",
       "       0.91560386, 0.14184216, 0.67684049, 0.87707118, 0.53682579,\n",
       "       0.88050113, 0.5795049 , 0.98032055, 0.89260336, 0.94498418,\n",
       "       0.76134024, 0.70343018, 0.30638598, 0.23058712, 0.64870544,\n",
       "       0.31701672, 0.49816014, 0.26951134, 0.95404656, 0.14438469,\n",
       "       0.46529529, 0.39083931, 0.69445707, 0.78667624, 0.04288262,\n",
       "       0.12759686, 0.37236277, 0.7139848 , 0.3564604 , 0.64848957,\n",
       "       0.11958725, 0.10493438, 0.59768836, 0.18755669, 0.69475564,\n",
       "       0.93555356, 0.45436543, 0.64037037, 0.47088467, 0.79050177,\n",
       "       0.89230309, 0.2617283 , 0.1208595 , 0.13082424, 0.16266057,\n",
       "       0.65910949, 0.32439767, 0.67102821, 0.96749053, 0.81155808,\n",
       "       0.48650427, 0.49367907, 0.05978109, 0.54134925, 0.71856608,\n",
       "       0.69864736, 0.29379581, 0.05640129, 0.3023765 , 0.74099175,\n",
       "       0.05215866, 0.53640744, 0.90238467, 0.07138516, 0.13532509,\n",
       "       0.52603109, 0.54124407, 0.29910026, 0.99851557, 0.91245719,\n",
       "       0.4704942 , 0.08016066, 0.66108795, 0.39341851, 0.53443001,\n",
       "       0.30619627, 0.8899058 , 0.14793674, 0.61544628, 0.25638843,\n",
       "       0.60265269, 0.71796738, 0.72576757, 0.6856588 , 0.95047758,\n",
       "       0.97940649, 0.20529048, 0.1898001 , 0.85964722, 0.86274862,\n",
       "       0.96251114, 0.96194196, 0.64421316, 0.56109346, 0.66876775,\n",
       "       0.20014728, 0.20500189, 0.71606574, 0.10319862, 0.65637005,\n",
       "       0.75084189, 0.95357774, 0.23008016, 0.49670573, 0.07357775,\n",
       "       0.72725079, 0.84334515, 0.60709761, 0.39892559, 0.72387304,\n",
       "       0.92244011, 0.95742023, 0.61222796, 0.13324863, 0.74261079,\n",
       "       0.90732724, 0.03114693, 0.5991968 , 0.46068182, 0.89075489,\n",
       "       0.03738875, 0.63955373, 0.57550429, 0.98054754, 0.92313949,\n",
       "       0.12901119, 0.9337504 , 0.67783641, 0.49834084, 0.4672442 ,\n",
       "       0.7703763 , 0.95011575, 0.1367166 , 0.95597031, 0.00492654,\n",
       "       0.84894216, 0.45418276, 0.56462678, 0.30261809, 0.97516307,\n",
       "       0.45172223, 0.05353288, 0.38393638, 0.91108642, 0.62314804,\n",
       "       0.75182922, 0.52157587, 0.64611803, 0.669183  , 0.95110862,\n",
       "       0.68068571, 0.10834953, 0.92425063, 0.86989012, 0.69568524,\n",
       "       0.86896989, 0.84726371, 0.70049457, 0.7276794 , 0.83380701,\n",
       "       0.99337205, 0.38628098, 0.7959473 , 0.32129186, 0.79024655,\n",
       "       0.42728338, 0.67791323, 0.68630419, 0.5820053 , 0.46334824,\n",
       "       0.06280237, 0.920241  , 0.54785956, 0.61606246, 0.1691213 ,\n",
       "       0.90908937, 0.82513682, 0.46452182, 0.18084948, 0.56134994,\n",
       "       0.85224735, 0.18962504, 0.92131937, 0.13907452, 0.33844725,\n",
       "       0.76385155, 0.8377022 , 0.69673508, 0.38226931, 0.27566655,\n",
       "       0.77806845, 0.78042138, 0.81541562, 0.48650692, 0.3247021 ,\n",
       "       0.28173241, 0.21169545, 0.78232644, 0.2696024 , 0.2512093 ,\n",
       "       0.91548116, 0.90343726, 0.04032843, 0.77179938, 0.13151028,\n",
       "       0.88216173, 0.40381244, 0.51218197, 0.60014586, 0.979173  ,\n",
       "       0.09854297, 0.23033941, 0.93364077, 0.24833922, 0.54356894,\n",
       "       0.05334363, 0.69747908, 0.07504187, 0.17742909, 0.1535113 ,\n",
       "       0.208484  , 0.27746469, 0.8824866 , 0.37595727, 0.07609588,\n",
       "       0.37727307, 0.38321495, 0.98279055, 0.81879881, 0.7047254 ,\n",
       "       0.47266556, 0.55715557, 0.61104809, 0.20354441, 0.36696816,\n",
       "       0.05610729, 0.29948567, 0.53529444, 0.61141339, 0.5142232 ,\n",
       "       0.89109557, 0.37771316, 0.00808339, 0.58117666, 0.49037312,\n",
       "       0.6860928 , 0.80553333, 0.85816398, 0.96595504, 0.48374125,\n",
       "       0.72294959, 0.40942273, 0.01631344, 0.13211216, 0.90695695,\n",
       "       0.92199804, 0.68086482, 0.81126732, 0.90820317, 0.85834774,\n",
       "       0.69332485, 0.42095017, 0.83502837, 0.80293402, 0.59261559,\n",
       "       0.36960566, 0.2562277 , 0.40015434, 0.22124375, 0.84503699,\n",
       "       0.60925684, 0.47365144, 0.54405015, 0.42190476, 0.69755796,\n",
       "       0.72480918, 0.39183537, 0.77738142, 0.18170418, 0.63037359,\n",
       "       0.74741353, 0.22676833, 0.18851197, 0.76571478, 0.72044064,\n",
       "       0.86516244, 0.1118728 , 0.3607868 , 0.20265632, 0.77164306,\n",
       "       0.7679989 , 0.13863777, 0.89636665, 0.70057252, 0.38721281,\n",
       "       0.24527864, 0.905878  , 0.60328834, 0.94408901, 0.21293071,\n",
       "       0.53688406, 0.38081211, 0.07270588, 0.94468383, 0.1060466 ,\n",
       "       0.81009066, 0.56619431, 0.72020109, 0.66765635, 0.04152285,\n",
       "       0.81521858, 0.72600285, 0.02093472, 0.75010731, 0.23612297,\n",
       "       0.88026195, 0.77578029, 0.91392866, 0.29135945, 0.95922414,\n",
       "       0.52550485, 0.3874308 , 0.91587955, 0.91281238, 0.03381807,\n",
       "       0.24595898, 0.92447694, 0.76546082, 0.59001296, 0.7253222 ,\n",
       "       0.0274123 , 0.09029426, 0.34162296, 0.71455602, 0.81081114,\n",
       "       0.58506436, 0.31612539, 0.12003344, 0.89801787, 0.49607524,\n",
       "       0.35388303, 0.42889466, 0.01641279, 0.77319152, 0.75119973,\n",
       "       0.4279361 , 0.92920566, 0.08834311, 0.67512229, 0.603788  ,\n",
       "       0.35490041, 0.90673354, 0.49423753, 0.5528097 , 0.18797198,\n",
       "       0.65241838, 0.359326  , 0.164335  , 0.86041202, 0.31343729,\n",
       "       0.87720764, 0.10960732, 0.6896566 , 0.81710074, 0.77986475,\n",
       "       0.10483053, 0.7540097 , 0.01854402, 0.44136381, 0.97609212,\n",
       "       0.72487974, 0.07447408, 0.65464425, 0.21470451, 0.20893231,\n",
       "       0.35309942, 0.53199778, 0.18262938, 0.77795645, 0.76088611,\n",
       "       0.28364501, 0.93002788, 0.41132665, 0.89347903, 0.30905638,\n",
       "       0.51713484, 0.21463625, 0.59247036, 0.78373589, 0.27791099,\n",
       "       0.11774658, 0.98938107, 0.30750693, 0.2395768 , 0.03452396,\n",
       "       0.26628784, 0.73794019, 0.74958654, 0.58595986, 0.47235674,\n",
       "       0.65757847, 0.89208088, 0.03853894, 0.07809879, 0.34545149,\n",
       "       0.1474158 , 0.35385081, 0.01500899, 0.45270303, 0.51793782,\n",
       "       0.84887863, 0.33896604, 0.41958146, 0.07363694, 0.98923877,\n",
       "       0.39562197, 0.59099898, 0.08607648, 0.79766379, 0.4034079 ,\n",
       "       0.63476298, 0.07825618, 0.15539109, 0.8186466 , 0.84801058,\n",
       "       0.48800599, 0.32185038, 0.58947905, 0.79930393, 0.87171759,\n",
       "       0.93360046, 0.96118824, 0.49786424, 0.57283214, 0.55298655,\n",
       "       0.44384745, 0.62587614, 0.37461623, 0.8828654 , 0.25213189,\n",
       "       0.87246243, 0.45537429, 0.66008047, 0.04000359, 0.36627508,\n",
       "       0.06575809, 0.73102454, 0.99440883, 0.87572263, 0.90732474,\n",
       "       0.05855735, 0.70599247, 0.02678203, 0.11551696, 0.96615855,\n",
       "       0.46677335, 0.54194299, 0.71981958, 0.02211347, 0.48492373,\n",
       "       0.36648787, 0.97216323, 0.31506751, 0.66549457, 0.42609804,\n",
       "       0.13974454, 0.21396198, 0.16705079, 0.52002258, 0.49878713,\n",
       "       0.41610875, 0.23200951, 0.70381156, 0.94200117, 0.577196  ,\n",
       "       0.45469451, 0.81181592, 0.03477522, 0.0556729 , 0.33452647,\n",
       "       0.30832364, 0.45538741, 0.30687515, 0.8672181 , 0.14445586,\n",
       "       0.53682038, 0.53892222, 0.74744202, 0.08571662, 0.28888993,\n",
       "       0.12265637, 0.94089066, 0.84915258, 0.90447995, 0.93147542,\n",
       "       0.87951882, 0.34022581, 0.78827787, 0.98369053, 0.78228215,\n",
       "       0.3479799 , 0.82066035, 0.55262428, 0.19771786, 0.52128657,\n",
       "       0.86412561, 0.32869815, 0.34922927, 0.2418522 , 0.45803277,\n",
       "       0.96748173, 0.86927503, 0.48540781, 0.11928069, 0.9864502 ,\n",
       "       0.25877676, 0.60431192, 0.76082424, 0.97939447, 0.72220636,\n",
       "       0.03519785, 0.7016329 , 0.66267503, 0.82173517, 0.02286619,\n",
       "       0.5026114 , 0.07832865, 0.36027443, 0.288144  , 0.15726784,\n",
       "       0.22522466, 0.51643124, 0.09445716, 0.89715892, 0.66079876,\n",
       "       0.17118989, 0.7387646 , 0.42959353, 0.47717035, 0.6240647 ,\n",
       "       0.9520484 , 0.80152395, 0.55989966, 0.87808872, 0.21928662,\n",
       "       0.26460154, 0.40750896, 0.6298673 , 0.74372104, 0.85326295,\n",
       "       0.82416855, 0.00303032, 0.35912581, 0.82399451, 0.47561543,\n",
       "       0.71063663, 0.06426879, 0.46557639, 0.21503231, 0.9174561 ,\n",
       "       0.6864973 , 0.34441791, 0.61581855, 0.75619591, 0.23478886,\n",
       "       0.00381906, 0.93805286, 0.55981006, 0.93275086, 0.22355912,\n",
       "       0.80666551, 0.38410862, 0.94569669, 0.16493964, 0.00473037,\n",
       "       0.51584494, 0.28560354, 0.37526242, 0.72123383, 0.42511265,\n",
       "       0.08883815, 0.95978421, 0.81083694, 0.9646377 , 0.09612094,\n",
       "       0.76129631, 0.15784068, 0.15439817, 0.50020066, 0.09078145,\n",
       "       0.5539187 , 0.06862459, 0.40547622, 0.57874105, 0.78338522,\n",
       "       0.79700605, 0.421175  , 0.50318471, 0.86875815, 0.2413415 ,\n",
       "       0.55191705, 0.63577567, 0.95298378, 0.77362027, 0.02264469,\n",
       "       0.78601519, 0.86261693, 0.88502594, 0.18483003, 0.88679822,\n",
       "       0.24130209, 0.881864  , 0.21014206, 0.76662676, 0.537794  ,\n",
       "       0.24457389, 0.3733962 , 0.90995021, 0.65823413, 0.14847501,\n",
       "       0.88830546, 0.08351594, 0.17866615, 0.72980803, 0.7973254 ,\n",
       "       0.2082876 , 0.03163117, 0.23622819, 0.13588309, 0.3950452 ,\n",
       "       0.6549183 , 0.99508065, 0.86717446, 0.98624867, 0.90341364,\n",
       "       0.90817548, 0.18861533, 0.91814637, 0.64661863, 0.74103561,\n",
       "       0.5247958 , 0.40027144, 0.19961062, 0.77771078, 0.47282129,\n",
       "       0.53526379, 0.64859297, 0.88132496, 0.96371812, 0.45432628,\n",
       "       0.34903078, 0.68960713, 0.42039426, 0.54438348, 0.49262789,\n",
       "       0.09560919, 0.67515366, 0.72259982, 0.25013464, 0.5600734 ,\n",
       "       0.69236951, 0.66958908, 0.65881019, 0.2018387 , 0.46234732])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#d=pd.DataFrame(np.quantile(drug['usefulCount'],np.linspace(0,1,10)))\n",
    "#d.set_index(np.linspace(1,11),inplace=True)\n",
    "#d\n",
    "from scipy.stats import uniform\n",
    "uni=uniform.rvs(size=1000)\n",
    "uni\n",
    "#drug.sample(5,replace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Mehr/anaconda3/lib/python3.11/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1313df950>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_palette(\"Purples\")\n",
    "sns.set_context(\"poster\")\n",
    "sns.catplot(x='rating',y='usefulCount',data=drug,kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>drugName</th>\n",
       "      <th>Buspirone</th>\n",
       "      <th>Dalfampridine</th>\n",
       "      <th>Deplin</th>\n",
       "      <th>Effexor XR</th>\n",
       "      <th>Elavil</th>\n",
       "      <th>Fetzima</th>\n",
       "      <th>Gabapentin</th>\n",
       "      <th>Guaifenesin</th>\n",
       "      <th>Mucinex</th>\n",
       "      <th>Orlistat</th>\n",
       "      <th>Phentermine</th>\n",
       "      <th>Pitavastatin</th>\n",
       "      <th>Pregabalin</th>\n",
       "      <th>Risedronate</th>\n",
       "      <th>Sertraline</th>\n",
       "      <th>Thyroid desiccated</th>\n",
       "      <th>Topamax</th>\n",
       "      <th>Topiramate</th>\n",
       "      <th>Trazodone</th>\n",
       "      <th>Wellbutrin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rating</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>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "drugName  Buspirone  Dalfampridine  Deplin  Effexor XR  Elavil  Fetzima  \\\n",
       "rating                                                                    \n",
       "1                 0              0       0           0       0        0   \n",
       "7                 0              0       0           0       0        0   \n",
       "8                 0              1       1           0       0        1   \n",
       "9                 0              0       0           0       0        0   \n",
       "10                1              0       0           1       1        0   \n",
       "\n",
       "drugName  Gabapentin  Guaifenesin  Mucinex  Orlistat  Phentermine  \\\n",
       "rating                                                              \n",
       "1                  0            0        0         0            0   \n",
       "7                  0            0        0         0            0   \n",
       "8                  1            0        0         0            0   \n",
       "9                  0            0        0         0            1   \n",
       "10                 0            1        1         1            0   \n",
       "\n",
       "drugName  Pitavastatin  Pregabalin  Risedronate  Sertraline  \\\n",
       "rating                                                        \n",
       "1                    0           0            1           0   \n",
       "7                    0           1            0           0   \n",
       "8                    1           0            0           0   \n",
       "9                    0           0            0           0   \n",
       "10                   0           0            0           1   \n",
       "\n",
       "drugName  Thyroid desiccated  Topamax  Topiramate  Trazodone  Wellbutrin  \n",
       "rating                                                                    \n",
       "1                          0        0           0          0           0  \n",
       "7                          0        0           0          0           0  \n",
       "8                          0        0           0          0           0  \n",
       "9                          1        1           1          1           1  \n",
       "10                         0        0           0          0           0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols=['rating','usefulCount','review_length']\n",
    "pd.crosstab(drug['rating'],drug.sort_values(by=\"usefulCount\",ascending=False)['drugName'].head(20) ,margins=False)\n",
    "#sns.heatmap(drug[cols].corr(),annot=True,cmap='Purples',cbar=False, linewidths=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28210            Pregabalin\n",
       "40253    Thyroid desiccated\n",
       "17278            Wellbutrin\n",
       "33065            Effexor XR\n",
       "21408           Guaifenesin\n",
       "20434            Topiramate\n",
       "21810                Deplin\n",
       "11673          Pitavastatin\n",
       "18961            Sertraline\n",
       "19598               Fetzima\n",
       "Name: drugName, dtype: category\n",
       "Categories (2283, object): ['A / B Otic', 'Abacavir / dolutegravir / lamivudine', 'Abacavir / lamivudine', 'Abatacept', ..., 'depo-subQ provera 104', 'ella', 'femhrt', 'pHisoHex']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug.sort_values(by=\"usefulCount\",ascending=False)['drugName'].head(10) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drugName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Uroxatral</th>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rogaine Women's</th>\n",
       "      <td>116.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sotalol Hydrochloride AF</th>\n",
       "      <td>113.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lodine</th>\n",
       "      <td>108.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Degarelix</th>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lasix</th>\n",
       "      <td>101.5</td>\n",
       "      <td>17.136705</td>\n",
       "      <td>85</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adipost</th>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zestril</th>\n",
       "      <td>96.5</td>\n",
       "      <td>12.020815</td>\n",
       "      <td>88</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clozaril</th>\n",
       "      <td>93.5</td>\n",
       "      <td>44.547727</td>\n",
       "      <td>62</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pletal</th>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           mean        std  min  max\n",
       "drugName                                            \n",
       "Uroxatral                 120.0        NaN  120  120\n",
       "Rogaine Women's           116.0        NaN  116  116\n",
       "Sotalol Hydrochloride AF  113.0        NaN  113  113\n",
       "Lodine                    108.0        NaN  108  108\n",
       "Degarelix                 102.0        NaN  102  102\n",
       "Lasix                     101.5  17.136705   85  122\n",
       "Adipost                   100.0        NaN  100  100\n",
       "Zestril                    96.5  12.020815   88  105\n",
       "Clozaril                   93.5  44.547727   62  125\n",
       "Pletal                     93.0        NaN   93   93"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug.groupby('drugName')['usefulCount'].agg(['mean','std','min','max']).sort_values(by='mean',ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "drugName\n",
       "Lamotrigine     123\n",
       "Lurasidone       88\n",
       "Quetiapine       85\n",
       "Lamictal         78\n",
       "Latuda           72\n",
       "Lithium          45\n",
       "Aripiprazole     44\n",
       "Ziprasidone      41\n",
       "Asenapine        41\n",
       "Abilify          39\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug[drug['condition'].str.contains('bipolar')]['drugName'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "drug_cat=['bipolar','depression','anxiety']\n",
    "sleep='sleep'\n",
    "bipolar='bipolar'\n",
    "depression='depression'\n",
    "anxiety='anxiety'\n",
    "pain='pain'\n",
    "\n",
    "condition=[\n",
    "    \n",
    "    (drug['condition'].str.contains(bipolar)),\n",
    "    (drug['condition'].str.contains(depression)),\n",
    "    (drug['condition'].str.contains(anxiety)),\n",
    "    \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "drug['drugcat']=np.select(condition,drug_cat,default='other') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='drugcat'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drug['drugcat'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "drug.to_feather(\"/Users/Mehr/Desktop/data/drug.feather\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_feather(\"/Users/Mehr/Desktop/data/drug.feather\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30080380\n",
      "30349133\n"
     ]
    }
   ],
   "source": [
    "print(df.memory_usage(deep=True).sum())\n",
    "print(drug.memory_usage(deep=True).sum())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.formula.api import ols\n",
    "import statsmodels.api as sm\n",
    "\n",
    "model=ols('usefulCount ~ review_length + rating',data=drug).fit()\n",
    "model.summary()\n",
    "summary= model.get_influence().summary_frame()\n",
    "leverage=summary['hat_diag']\n",
    "cook=summary['cooks_d']\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Mehr/anaconda3/lib/python3.11/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x16f3c0110>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "res=pd.DataFrame({'leverage':leverage,'cook':cook})#.sort_values(by='leverage',ascending=False).head(10)\n",
    "sns.displot(res['leverage'],kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([27.32943552, 24.73272073, 23.75162707, ..., 24.10024899,\n",
       "       22.02419653, 14.14246294])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actual_rep=drug['usefulCount']\n",
    "#pred=np.round(model.predict())\n",
    "#out=pd.DataFrame({'actual':actual_rep,'pred':pred}) \n",
    "model.summary()\n",
    "model.predict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<!DOCTYPE html>\n",
      "<html lang=\"en\" class=\"no-js\">\n",
      "<head>\n",
      "<meta charset=\"utf-8\">\n",
      "<title>Wikipedia</title>\n",
      "<meta name=\"description\" content=\"Wikipedia is a free online encyclopedia, created and edited by volunteers around the world and hosted by the Wikimedia Foundation.\">\n",
      "<script>\n",
      "document.documentElement.className = document.documentElement.className.replace( /(^|\\s)no-js(\\s|$)/, \"$1js-enabled$2\" );\n",
      "</script>\n",
      "<meta name=\"viewport\" content=\"initial-scale=1,user-scalable=yes\">\n",
      "<link rel=\"apple-touch-icon\" href=\"/static/apple-touch/wikipedia.png\">\n",
      "<link rel=\"shortcut icon\" href=\"/static/favicon/wikipedia.ico\">\n",
      "<link rel=\"license\" href=\"//creativecommons.org/licenses/by-sa/4.0/\">\n",
      "<style>\n",
      ".sprite{background-image:linear-gradient(transparent,transparent),url(portal/wikipedia.org/assets/img/sprite-8bb90067.svg);background-repeat:no-repeat;display:inline-block;vertical-align:middle}.svg-Commons-logo_sister{background-position:0 0;width:47px;height:47px}.svg-MediaWiki-logo_sister{background-position:0 -47px;width:42px;height:42px}.svg-Meta-Wiki-logo_sister{background-position:0 -89px;width:37px;height:37px}.svg-Wikibooks-logo_sister{background-position:0 -126px;width:37px;height:37px}.svg-Wikidata-logo_sister{background-position:0 -163px;width:49px;height:49px}.svg-Wikifunctions-logo_sister{background-position:0 -212px;width:50px;height:50px}.svg-Wikimedia-logo_black{background-position:0 -262px;width:42px;height:42px}.svg-Wikipedia_wordmark{background-position:0 -304px;width:176px;height:32px}.svg-Wikiquote-logo_sister{background-position:0 -336px;width:42px;height:42px}.svg-Wikisource-logo_sister{background-position:0 -378px;width:39px;height:39px}.svg-Wikispecies-logo_sister{background-position:0 -417px;width:42px;height:42px}.svg-Wikiversity-logo_sister{background-position:0 -459px;width:43px;height:37px}.svg-Wikivoyage-logo_sister{background-position:0 -496px;width:36px;height:36px}.svg-Wiktionary-logo_sister{background-position:0 -532px;width:37px;height:37px}.svg-arrow-down{background-position:0 -569px;width:12px;height:8px}.svg-arrow-down-blue{background-position:0 -577px;width:14px;height:14px}.svg-badge_google_play_store{background-position:0 -591px;width:124px;height:38px}.svg-badge_ios_app_store{background-position:0 -629px;width:110px;height:38px}.svg-language-icon{background-position:0 -667px;width:22px;height:22px}.svg-noimage{background-position:0 -689px;width:58px;height:58px}.svg-search-icon{background-position:0 -747px;width:22px;height:22px}.svg-wikipedia_app_tile{background-position:0 -769px;width:42px;height:42px}\n",
      "</style>\n",
      "<style>\n",
      "html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%;font-size:62.5%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{font-size:32px;font-size:3.2rem;margin:1.2rem 0}mark{background:#fef6e7;color:#000}small{font-size:13px;font-size:1.3rem}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}svg:not(:root){overflow:hidden}figure{margin:1.6rem 4rem}hr{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:14px;font-size:1.4rem}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-appearance:none;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}input[type=search]:focus{outline-offset:-2px}fieldset{border:1px solid #a2a9b1;margin:0 .2rem;padding:.6rem 1rem 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auto;-webkit-background-size:cover;-moz-background-size:cover;background-size:cover;height:100%;width:70px;width:7rem;position:absolute;top:0;left:0}.suggestion-title{margin:0 0 .78rem;color:#54595d;font-size:16px;font-size:1.6rem;line-height:18.72px;line-height:1.872rem}.suggestion-link.active .suggestion-title{color:#36c}.suggestion-highlight{font-style:normal;text-decoration:underline}.suggestion-description{color:#72777d;margin:0;font-size:13px;font-size:1.3rem;line-height:14.299px;line-height:1.43rem}.styled-select{display:none;position:absolute;top:10px;top:1rem;bottom:12px;bottom:1.2rem;right:12px;right:1.2rem;max-width:95px;max-width:9.5rem;height:24px;height:2.4rem;-moz-border-radius:2px;border-radius:2px}.styled-select:hover{background-color:#f8f9fa}.styled-select .hide-arrow{right:32px;right:3.2rem;max-width:68px;max-width:6.8rem;height:24px;height:2.4rem;overflow:hidden;text-align:right}.styled-select select{background:transparent;display:inline;overflow:hidden;height:24px;height:2.4rem;min-width:110px;min-width:11rem;max-width:110px;max-width:11rem;width:110px;width:11rem;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;border:0;line-height:24px;line-height:2.4rem;-webkit-appearance:none;-moz-appearance:window;text-indent:.01px;-o-text-overflow:\"\";text-overflow:\"\";opacity:0;-moz-appearance:none;appearance:none;cursor:pointer}.styled-select.no-js{width:95px;width:9.5rem}.styled-select.no-js select{opacity:1;margin:0;padding:0 2.4rem 0 .8rem;color:#54595d}.styled-select.no-js .hide-arrow{width:68px;width:6.8rem}.search-container .styled-select.no-js .js-langpicker-label{display:none}.styled-select.js-enabled .hide-arrow{padding:0 2.4rem 0 .8rem}.styled-select.js-enabled select{background:transparent;position:absolute;top:0;left:0;height:100%;z-index:1;width:100%;border:0;margin:0;padding:0 2.4rem;color:transparent;color:hsla(0,0%,100%,0)}.styled-select.js-enabled select option{color:#54595d}.styled-select.js-enabled select:hover{background-color:transparent}.styled-select-active-helper{display:none}.styled-select.js-enabled select:focus+.styled-select-active-helper{display:block;position:absolute;top:0;left:0;z-index:0;width:100%;height:100%;outline:1px solid #36c}.search-container .js-langpicker-label{display:inline-block;margin:0;color:#54595d;font-size:13px;font-size:1.3rem;line-height:24px;line-height:2.4rem;text-transform:uppercase}.styled-select select:hover{background-color:#f8f9fa}.styled-select select::-ms-expand{display:none}.styled-select select:focus{outline:1px solid transparent;-webkit-box-shadow:none;-moz-box-shadow:none;box-shadow:none}@-moz-document url-prefix(){.styled-select select{width:110%}}.other-projects{display:inline-block;width:65%}.other-project{float:left;position:relative;width:33%;height:90px;height:9rem}.other-project-link{display:inline-block;min-height:50px;width:90%;padding:1em;white-space:nowrap}.other-project-link:hover{background-color:#eaecf0}a.other-project-link{text-decoration:none}.other-project-icon{display:inline-block;width:50px;text-align:center}.svg-Wikinews-logo_sister{background-image:url(portal/wikipedia.org/assets/img/Wikinews-logo_sister.png);background-position:0 0;-webkit-background-size:47px 26px;-moz-background-size:47px 26px;background-size:47px 26px;width:47px;height:26px}@media (-o-min-device-pixel-ratio:5/4),(-webkit-min-device-pixel-ratio:1.25),(min-resolution:120dpi){.svg-Wikinews-logo_sister{background-image:url(portal/wikipedia.org/assets/img/Wikinews-logo_sister@2x.png)}}.other-project-text,.other-project .sprite-project-logos{display:inline-block}.other-project-text{max-width:65%;font-size:14px;font-size:1.4rem;vertical-align:middle;white-space:normal}.other-project-tagline,.other-project-title{display:block}.other-project-tagline{color:#54595d;font-size:13px;font-size:1.3rem}@media screen and (max-width:768px){.other-projects{width:100%}.other-project{width:33%}}@media screen and (max-width:480px){.other-project{width:50%}.other-project-tagline{-webkit-hyphens:auto;-moz-hyphens:auto;-ms-hyphens:auto;hyphens:auto}}@media screen and (max-width:320px){.other-project-text{margin-right:5px;font-size:13px;font-size:1.3rem}}.lang-list-container{background-color:#f8f9fa;overflow:hidden;position:relative;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;max-height:0;width:80%;margin:-1.6rem auto 4.8rem;-webkit-transition:max-height .5s ease-out .16s,visibility .5s ease-in 1s;-o-transition:max-height .5s ease-out .16s,visibility .5s ease-in 1s;-moz-transition:max-height .5s ease-out .16s,visibility .5s ease-in 1s;transition:max-height .5s ease-out .16s,visibility .5s ease-in 1s}.js-enabled .lang-list-container{visibility:hidden}.lang-list-active .lang-list-container,.no-js .lang-list-container{visibility:visible;max-height:10000px;-webkit-transition:max-height 1s ease-in .2s,visibility 1000s ease-in 0ms;-o-transition:max-height 1s ease-in .2s,visibility 1000s ease-in 0ms;-moz-transition:max-height 1s ease-in .2s,visibility 1000s ease-in 0ms;transition:max-height 1s ease-in .2s,visibility 1000s ease-in 0ms}.no-js .lang-list-button{display:none}.lang-list-button-wrapper{text-align:center}.lang-list-button{background-color:#f8f9fa;display:inline;position:relative;z-index:1;margin:0 auto;padding:.6rem 1.2rem;outline:16px solid #fff;outline:1.6rem solid #fff;border:1px solid #a2a9b1;-moz-border-radius:2px;border-radius:2px;color:#36c;font-size:14px;font-size:1.4rem;font-weight:700;line-height:1;-webkit-transition:outline-width .1s ease-in .5s;-o-transition:outline-width .1s ease-in .5s;-moz-transition:outline-width .1s ease-in .5s;transition:outline-width .1s ease-in .5s}.lang-list-button:hover{background-color:#fff;border-color:#a2a9b1}.lang-list-button:focus{border-color:#36c;-webkit-box-shadow:inset 0 0 0 1px #36c;-moz-box-shadow:inset 0 0 0 1px #36c;box-shadow:inset 0 0 0 1px #36c}.lang-list-active .lang-list-button{background-color:#fff;outline:1px solid #fff;border-color:#72777d;-webkit-transition-delay:0s;-moz-transition-delay:0s;-o-transition-delay:0s;transition-delay:0s}.lang-list-button-text{padding:0 .64rem;vertical-align:middle}.lang-list-button i{display:inline-block;vertical-align:middle}.no-js .lang-list-border,.no-js .lang-list-button{display:none}.lang-list-border{background-color:#c8ccd1;display:block;position:relative;max-width:460px;width:80%;margin:-1.6rem auto 1.6rem;height:1px;-webkit-transition:max-width .2s ease-out .4s;-o-transition:max-width .2s ease-out .4s;-moz-transition:max-width .2s ease-out .4s;transition:max-width .2s ease-out .4s}.lang-list-active .lang-list-border{max-width:85%;-webkit-transition-delay:0s;-moz-transition-delay:0s;-o-transition-delay:0s;transition-delay:0s}.no-js .lang-list-content{padding:0}.lang-list-content{position:relative;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;width:100%;padding:1.6rem 1.6rem 0}.svg-arrow-down-blue{-webkit-transition:-webkit-transform .2s ease-out;transition:-webkit-transform .2s ease-out;-o-transition:transform .2s ease-out;-moz-transition:transform .2s ease-out,-moz-transform .2s ease-out;transition:transform .2s ease-out;transition:transform .2s ease-out,-webkit-transform .2s ease-out,-moz-transform .2s ease-out}.lang-list-active .svg-arrow-down-blue{-webkit-transform:rotate(180deg);-moz-transform:rotate(180deg);-ms-transform:rotate(180deg);transform:rotate(180deg)}.langlist{width:auto;margin:1.6rem 0;text-align:left}.langlist-others{font-weight:700;text-align:center}.hlist ul{margin:0;padding:0}.hlist li,.hlist ul ul{display:inline}.hlist li:before{content:\" Â· \";font-weight:700}.hlist li:first-child:before{content:none}.hlist li>ul:before{content:\"\\00a0(\"}.hlist li>ul:after{content:\") \"}.langlist>ul{-webkit-column-width:11.2rem;-moz-column-width:11.2rem;column-width:11.2rem}.langlist>ul>li{display:block;line-height:1.7;-webkit-column-break-inside:avoid;page-break-inside:avoid;break-inside:avoid}.no-js .langlist>ul{text-align:center;list-style-type:circle}.no-js .langlist>ul>li{display:inline-block;padding:0 .8rem}.langlist>ul>li:before{content:none}.langlist>ul>li a{white-space:normal}@media (max-width:480px){.langlist{font-size:inherit}.langlist a{word-wrap:break-word;white-space:normal}.lang-list-container{width:auto;margin-left:.8rem;margin-right:.8rem}.bookshelf{overflow:visible}}.bookshelf{display:block;border-top:1px solid #c8ccd1;-webkit-box-shadow:0 -1px 0 #fff;-moz-box-shadow:0 -1px 0 #fff;box-shadow:0 -1px 0 #fff;text-align:center;white-space:nowrap}.bookshelf .text{background-color:#f8f9fa;position:relative;top:-11.2px;top:-1.12rem;font-weight:400;padding:0 .8rem}.bookshelf-container{display:block;overflow:visible;width:100%;height:1px;margin:2.4rem 0 1.6rem;font-size:13px;font-size:1.3rem;font-weight:700;line-height:1.5}@media (max-width:480px){.bookshelf{width:auto;left:auto}.bookshelf-container{text-align:left;width:auto}}.app-badges .footer-sidebar-content{background-color:#f8f9fa}.app-badges .footer-sidebar-text{padding-top:.8rem;padding-bottom:.8rem}.app-badges .sprite.footer-sidebar-icon{top:8px;top:.8rem}.app-badges ul{margin:0;padding:0;list-style-type:none}.app-badge{display:inline-block}.app-badge a{color:transparent}@media screen and (max-width:768px){.app-badges .footer-sidebar-content{text-align:center}.app-badges .sprite.footer-sidebar-icon{display:inline-block;position:relative;margin:0;top:-3px;left:0;vertical-align:middle;-webkit-transform:scale(.7);-moz-transform:scale(.7);-ms-transform:scale(.7);transform:scale(.7)}}.footer{overflow:hidden;max-width:100%;margin:0 auto;padding:4.16rem 1.28rem 0;font-size:13px;font-size:1.3rem}.footer:after,.footer:before{content:\" \";display:table}.footer:after{clear:both}.footer-sidebar{width:35%;float:left;clear:left;margin-bottom:3.2rem;vertical-align:top}.footer-sidebar-content{position:relative;max-width:350px;margin:0 auto}.sprite.footer-sidebar-icon{position:absolute;top:0;left:8px;left:.8rem}.footer-sidebar-text{position:relative;margin:0;padding-left:6rem;padding-right:2rem;color:#54595d}.site-license{color:#54595d;text-align:center}.site-license small:after{content:\"\\2022\";display:inline-block;font-size:13px;font-size:1.3rem;line-height:inherit;margin-left:.8rem;margin-right:.5rem}.site-license small:last-child:after{display:none}.footer hr{margin-top:1.28rem}@media screen and (max-width:768px){.footer{display:-webkit-box;display:-webkit-flex;display:-moz-box;display:-ms-flexbox;display:flex;-webkit-box-orient:vertical;-webkit-box-direction:normal;-webkit-flex-direction:column;-moz-box-orient:vertical;-moz-box-direction:normal;-ms-flex-direction:column;flex-direction:column;padding-top:1.28rem}.footer .footer-sidebar{-webkit-box-ordinal-group:1;-moz-box-ordinal-group:1;-webkit-order:1;-ms-flex-order:1;order:1}.footer .other-projects{-webkit-box-ordinal-group:2;-moz-box-ordinal-group:2;-webkit-order:2;-ms-flex-order:2;order:2}.footer .app-badges{-webkit-box-ordinal-group:3;-moz-box-ordinal-group:3;-webkit-order:3;-ms-flex-order:3;order:3}.footer hr{-webkit-box-ordinal-group:4;-moz-box-ordinal-group:4;-webkit-order:4;-ms-flex-order:4;order:4}.footer .site-license{-webkit-box-ordinal-group:5;-moz-box-ordinal-group:5;-webkit-order:5;-ms-flex-order:5;order:5}.footer-sidebar{width:100%}.sprite.footer-sidebar-icon{display:block;position:relative;left:0;margin:0 auto 1.28rem}.footer-sidebar-content{max-width:none}.footer-sidebar-text{margin:0;padding:0;text-align:center}}@media screen and (max-width:480px){.footer{padding:.96rem .64rem 1.28rem}}@media (max-width:480px){.search-container{margin-top:0;height:78px;height:7.8rem;position:absolute;top:96px;top:9.6rem;left:0;right:0;max-width:100%;width:auto;padding:0;text-align:left}.search-container label{display:none}.search-form #searchInput{max-width:40%;vertical-align:middle}.search-form .formBtn{max-width:25%;vertical-align:middle}form fieldset{margin:0;border-left:0;border-right:0}hr{margin-top:.65rem}}@media (-o-min-device-pixel-ratio:2/1),(-webkit-min-device-pixel-ratio:2),(min--moz-device-pixel-ratio:2),(min-resolution:2dppx),(min-resolution:192dpi){hr{border-bottom-width:.5px}}@supports (-webkit-marquee-style:slide){hr{border-bottom-width:1px}}.js-enabled .central-featured,.js-enabled .jsl10n{opacity:0}.jsl10n-visible .central-featured,.jsl10n-visible .jsl10n{opacity:1}@media print{body{background-color:transparent}a{color:#000!important;background:none!important;padding:0!important}a:link,a:visited{color:#520;background:transparent}img{border:0}}\n",
      "</style>\n",
      "<link rel=\"preconnect\" href=\"//upload.wikimedia.org\">\n",
      "<link rel=\"me\" href=\"https://wikis.world/@wikipedia\">\n",
      "<meta property=\"og:url\" content>\n",
      "<meta property=\"og:title\" content=\"Wikipedia, the free encyclopedia\">\n",
      "<meta property=\"og:type\" content=\"website\">\n",
      "<meta property=\"og:description\" content=\"Wikipedia is a free online encyclopedia, created and edited by volunteers around the world and hosted by the Wikimedia Foundation.\">\n",
      "<meta property=\"og:image\" content=\"https://upload.wikimedia.org/wikipedia/en/thumb/8/80/Wikipedia-logo-v2.svg/2244px-Wikipedia-logo-v2.svg.png\">\n",
      "</head>\n",
      "<body id=\"www-wikipedia-org\">\n",
      "<main>\n",
      "<div class=\"central-textlogo\">\n",
      "<img class=\"central-featured-logo\" src=\"portal/wikipedia.org/assets/img/Wikipedia-logo-v2.png\" srcset=\"portal/wikipedia.org/assets/img/Wikipedia-logo-v2@1.5x.png 1.5x, portal/wikipedia.org/assets/img/Wikipedia-logo-v2@2x.png 2x\" width=\"200\" height=\"183\" alt=\"Wikipedia\">\n",
      "<h1 class=\"central-textlogo-wrapper\">\n",
      "<span class=\"central-textlogo__image sprite svg-Wikipedia_wordmark\">\n",
      "Wikipedia\n",
      "</span>\n",
      "<strong class=\"jsl10n localized-slogan\" data-jsl10n=\"portal.slogan\">The Free Encyclopedia</strong>\n",
      "</h1>\n",
      "</div>\n",
      "<nav data-jsl10n=\"top-ten-nav-label\" aria-label=\"Top languages\" class=\"central-featured\" data-el-section=\"primary links\">\n",
      "<!-- #1. en.wikipedia.org - 1,970,555,000 views/day -->\n",
      "<div class=\"central-featured-lang lang1\" lang=\"en\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-en\" href=\"//en.wikipedia.org/\" title=\"English â Wikipedia â The Free Encyclopedia\" class=\"link-box\" data-slogan=\"The Free Encyclopedia\">\n",
      "<strong>English</strong>\n",
      "<small>6,777,000+ <span>articles</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #2. ru.wikipedia.org - 228,403,000 views/day -->\n",
      "<div class=\"central-featured-lang lang2\" lang=\"ru\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-ru\" href=\"//ru.wikipedia.org/\" title=\"Russkiy â ÐÐ¸ÐºÐ¸Ð¿ÐµÐ´Ð¸Ñ â Ð¡Ð²Ð¾Ð±Ð¾Ð´Ð½Ð°Ñ ÑÐ½ÑÐ¸ÐºÐ»Ð¾Ð¿ÐµÐ´Ð¸Ñ\" class=\"link-box\" data-slogan=\"Ð¡Ð²Ð¾Ð±Ð¾Ð´Ð½Ð°Ñ ÑÐ½ÑÐ¸ÐºÐ»Ð¾Ð¿ÐµÐ´Ð¸Ñ\">\n",
      "<strong>Ð ÑÑÑÐºÐ¸Ð¹</strong>\n",
      "<small>1Â 961Â 000+ <span>ÑÑÐ°ÑÐµÐ¹</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #3. ja.wikipedia.org - 224,133,000 views/day -->\n",
      "<div class=\"central-featured-lang lang3\" lang=\"ja\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-ja\" href=\"//ja.wikipedia.org/\" title=\"Nihongo â ã¦ã£ã­ããã£ã¢ â ããªã¼ç¾ç§äºå¸\" class=\"link-box\" data-slogan=\"ããªã¼ç¾ç§äºå¸\">\n",
      "<strong>æ¥æ¬èª</strong>\n",
      "<small>1,401,000+ <span>è¨äº</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #4. es.wikipedia.org - 214,256,000 views/day -->\n",
      "<div class=\"central-featured-lang lang4\" lang=\"es\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-es\" href=\"//es.wikipedia.org/\" title=\"EspaÃ±ol â Wikipedia â La enciclopedia libre\" class=\"link-box\" data-slogan=\"La enciclopedia libre\">\n",
      "<strong>EspaÃ±ol</strong>\n",
      "<small>1.927.000+ <span>artÃ­culos</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #5. de.wikipedia.org - 210,039,000 views/day -->\n",
      "<div class=\"central-featured-lang lang5\" lang=\"de\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-de\" href=\"//de.wikipedia.org/\" title=\"Deutsch â Wikipedia â Die freie EnzyklopÃ¤die\" class=\"link-box\" data-slogan=\"Die freie EnzyklopÃ¤die\">\n",
      "<strong>Deutsch</strong>\n",
      "<small>2.877.000+ <span>Artikel</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #6. fr.wikipedia.org - 183,818,000 views/day -->\n",
      "<div class=\"central-featured-lang lang6\" lang=\"fr\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-fr\" href=\"//fr.wikipedia.org/\" title=\"franÃ§ais â WikipÃ©dia â LâencyclopÃ©die libre\" class=\"link-box\" data-slogan=\"LâencyclopÃ©die libre\">\n",
      "<strong>FranÃ§ais</strong>\n",
      "<small>2â¯587â¯000+ <span>articles</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #7. it.wikipedia.org - 127,386,000 views/day -->\n",
      "<div class=\"central-featured-lang lang7\" lang=\"it\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-it\" href=\"//it.wikipedia.org/\" title=\"Italiano â Wikipedia â L&#x27;enciclopedia libera\" class=\"link-box\" data-slogan=\"L&#x27;enciclopedia libera\">\n",
      "<strong>Italiano</strong>\n",
      "<small>1.845.000+ <span>voci</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #8. zh.wikipedia.org - 111,001,000 views/day -->\n",
      "<div class=\"central-featured-lang lang8\" lang=\"zh\" dir=\"ltr\">\n",
      "<a id=\"js-link-box-zh\" href=\"//zh.wikipedia.org/\" title=\"ZhÅngwÃ©n â ç»´åºç¾ç§ / ç¶­åºç¾ç§ â èªç±çç¾ç§å¨ä¹¦ / èªç±çç¾ç§å¨æ¸\" class=\"link-box localize-variant\" data-slogan=\"èªç±çç¾ç§å¨ä¹¦ / èªç±çç¾ç§å¨æ¸\">\n",
      "<strong>ä¸­æ</strong>\n",
      "<small>1,401,000+ <span>æ¡ç® / æ¢ç®</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #9. ar.wikipedia.org - 61,256,000 views/day -->\n",
      "<div class=\"central-featured-lang lang9\" lang=\"ar\" dir=\"rtl\">\n",
      "<a id=\"js-link-box-ar\" href=\"//ar.wikipedia.org/\" title=\"Al-Ê¿ArabÄ«yah â ÙÙÙÙØ¨ÙØ¯ÙØ§ â Ø§ÙÙÙØ³ÙØ¹Ø© Ø§ÙØ­Ø±Ø©\" class=\"link-box\" data-slogan=\"Ø§ÙÙÙØ³ÙØ¹Ø© Ø§ÙØ­Ø±Ø©\">\n",
      "<strong><bdi dir=\"rtl\">Ø§ÙØ¹Ø±Ø¨ÙØ©</bdi></strong>\n",
      "<small>Ù¡Ù¬Ù¢Ù¢Ù¦Ù¬Ù Ù Ù + <span>ÙÙØ§ÙØ©</span></small>\n",
      "</a>\n",
      "</div>\n",
      "<!-- #10. fa.wikipedia.org - 61,201,000 views/day -->\n",
      "<div class=\"central-featured-lang lang10\" lang=\"fa\" dir=\"rtl\">\n",
      "<a id=\"js-link-box-fa\" href=\"//fa.wikipedia.org/\" title=\"FÄrsi â ÙÛÚ©ÛâÙ¾Ø¯ÛØ§ â Ø¯Ø§ÙØ´ÙØ§ÙÙÙ Ø¢Ø²Ø§Ø¯\" class=\"link-box\" data-slogan=\"Ø¯Ø§ÙØ´ÙØ§ÙÙÙ Ø¢Ø²Ø§Ø¯\">\n",
      "<strong><bdi dir=\"rtl\">ÙØ§Ø±Ø³Û</bdi></strong>\n",
      "<small>Û¹Û¹Û±Ù¬Û°Û°Û°+ <span>ÙÙØ§ÙÙ</span></small>\n",
      "</a>\n",
      "</div>\n",
      "</nav>\n",
      "<div role=\"search\" class=\"search-container\">\n",
      "<form class=\"pure-form\" id=\"search-form\" action=\"//www.wikipedia.org/search-redirect.php\" data-el-section=\"search\">\n",
      "<fieldset>\n",
      "<input type=\"hidden\" name=\"family\" value=\"Wikipedia\">\n",
      "<input type=\"hidden\" id=\"hiddenLanguageInput\" name=\"language\" value=\"en\">\n",
      "<div class=\"search-input\" id=\"search-input\">\n",
      "<label for=\"searchInput\" class=\"screen-reader-text\" data-jsl10n=\"portal.search-input-label\">Search Wikipedia</label>\n",
      "<input id=\"searchInput\" name=\"search\" type=\"search\" size=\"20\" autofocus=\"autofocus\" accesskey=\"F\" dir=\"auto\" autocomplete=\"off\">\n",
      "<div class=\"styled-select no-js\">\n",
      "<div class=\"hide-arrow\">\n",
      "<select id=\"searchLanguage\" name=\"language\">\n",
      "<option value=\"af\" lang=\"af\">Afrikaans</option><!-- Afrikaans -->\n",
      "<option value=\"pl\" lang=\"pl\">Polski</option>\n",
      "<option value=\"ar\" lang=\"ar\">Ø§ÙØ¹Ø±Ø¨ÙØ©</option><!-- Al-Ê¿ArabÄ«yah -->\n",
      "<option value=\"ast\" lang=\"ast\">Asturianu</option>\n",
      "<option value=\"az\" lang=\"az\">AzÉrbaycanca</option>\n",
      "<option value=\"bg\" lang=\"bg\">ÐÑÐ»Ð³Ð°ÑÑÐºÐ¸</option><!-- BÇlgarski -->\n",
      "<option value=\"bn\" lang=\"bn\">à¦¬à¦¾à¦à¦²à¦¾</option><!-- Bangla -->\n",
      "<option value=\"be\" lang=\"be\">ÐÐµÐ»Ð°ÑÑÑÐºÐ°Ñ</option><!-- Belaruskaya -->\n",
      "<option value=\"ca\" lang=\"ca\">CatalÃ </option>\n",
      "<option value=\"cs\" lang=\"cs\">ÄeÅ¡tina</option><!-- ÄeÅ¡tina -->\n",
      "<option value=\"cy\" lang=\"cy\">Cymraeg</option><!-- Cymraeg -->\n",
      "<option value=\"da\" lang=\"da\">Dansk</option>\n",
      "<option value=\"de\" lang=\"de\">Deutsch</option>\n",
      "<option value=\"et\" lang=\"et\">Eesti</option>\n",
      "<option value=\"el\" lang=\"el\">ÎÎ»Î»Î·Î½Î¹ÎºÎ¬</option><!-- EllÄ«nikÃ¡ -->\n",
      "<option value=\"en\" lang=\"en\" selected=selected>English</option><!-- English -->\n",
      "<option value=\"es\" lang=\"es\">EspaÃ±ol</option>\n",
      "<option value=\"eo\" lang=\"eo\">Esperanto</option>\n",
      "<option value=\"fa\" lang=\"fa\">ÙØ§Ø±Ø³Û</option><!-- FÄrsi -->\n",
      "<option value=\"fr\" lang=\"fr\">FranÃ§ais</option><!-- franÃ§ais -->\n",
      "<option value=\"gl\" lang=\"gl\">Galego</option>\n",
      "<option value=\"ko\" lang=\"ko\">íêµ­ì´</option><!-- Hangugeo -->\n",
      "<option value=\"hi\" lang=\"hi\">à¤¹à¤¿à¤¨à¥à¤¦à¥</option><!-- HindÄ« -->\n",
      "<option value=\"hr\" lang=\"hr\">Hrvatski</option>\n",
      "<option value=\"id\" lang=\"id\">Bahasa Indonesia</option>\n",
      "<option value=\"eu\" lang=\"eu\">Ingelesa</option>\n",
      "<option value=\"it\" lang=\"it\">Italiano</option>\n",
      "<option value=\"he\" lang=\"he\">×¢××¨××ª</option><!-- Ivrit -->\n",
      "<option value=\"ka\" lang=\"ka\">á¥áá áá£áá</option><!-- Kartuli -->\n",
      "<option value=\"lld\" lang=\"lld\">Ladin</option>\n",
      "<option value=\"la\" lang=\"la\">Latina</option>\n",
      "<option value=\"lv\" lang=\"lv\">LatvieÅ¡u</option>\n",
      "<option value=\"lt\" lang=\"lt\">LietuviÅ³</option>\n",
      "<option value=\"hu\" lang=\"hu\">Magyar</option>\n",
      "<option value=\"mk\" lang=\"mk\">ÐÐ°ÐºÐµÐ´Ð¾Ð½ÑÐºÐ¸</option><!-- Makedonski -->\n",
      "<option value=\"arz\" lang=\"arz\">ÙØµØ±Ù</option><!-- Maá¹£rÄ« -->\n",
      "<option value=\"ms\" lang=\"ms\">Bahasa Melayu</option>\n",
      "<option value=\"min\" lang=\"min\">Bahaso Minangkabau</option>\n",
      "<option value=\"nl\" lang=\"nl\">Nederlands</option>\n",
      "<option value=\"ja\" lang=\"ja\">æ¥æ¬èª</option><!-- Nihongo -->\n",
      "<option value=\"no\" lang=\"nb\">Norsk (bokmÃ¥l)</option>\n",
      "<option value=\"nn\" lang=\"nn\">Norsk (nynorsk)</option>\n",
      "<option value=\"uz\" lang=\"uz\">OÊ»zbekcha / ÐÐ·Ð±ÐµÐºÑÐ°</option><!-- OÊ»zbekcha -->\n",
      "<option value=\"pt\" lang=\"pt\">PortuguÃªs</option>\n",
      "<option value=\"kk\" lang=\"kk\">ÒÐ°Ð·Ð°ÒÑÐ° / QazaqÅa / ÙØ§Ø²Ø§ÙØ´Ø§</option>\n",
      "<option value=\"ro\" lang=\"ro\">RomÃ¢nÄ</option><!-- RomÃ¢nÄ -->\n",
      "<option value=\"simple\" lang=\"en\">Simple English</option>\n",
      "<option value=\"ceb\" lang=\"ceb\">Sinugboanong Binisaya</option>\n",
      "<option value=\"sk\" lang=\"sk\">SlovenÄina</option>\n",
      "<option value=\"sl\" lang=\"sl\">SlovenÅ¡Äina</option><!-- slovenÅ¡Äina -->\n",
      "<option value=\"sr\" lang=\"sr\">Ð¡ÑÐ¿ÑÐºÐ¸ / Srpski</option>\n",
      "<option value=\"sh\" lang=\"sh\">Srpskohrvatski / Ð¡ÑÐ¿ÑÐºÐ¾ÑÑÐ²Ð°ÑÑÐºÐ¸</option>\n",
      "<option value=\"fi\" lang=\"fi\">Suomi</option><!-- suomi -->\n",
      "<option value=\"sv\" lang=\"sv\">Svenska</option>\n",
      "<option value=\"ta\" lang=\"ta\">à®¤à®®à®¿à®´à¯</option><!-- Tamiá¸» -->\n",
      "<option value=\"tt\" lang=\"tt\">Ð¢Ð°ÑÐ°ÑÑÐ° / TatarÃ§a</option>\n",
      "<option value=\"th\" lang=\"th\">à¸ à¸²à¸©à¸²à¹à¸à¸¢</option><!-- Phasa Thai -->\n",
      "<option value=\"tg\" lang=\"tg\">Ð¢Ð¾Ò·Ð¸ÐºÓ£</option><!-- TojikÄ« -->\n",
      "<option value=\"azb\" lang=\"azb\">ØªÛØ±Ú©Ø¬Ù</option><!-- TÃ¼rkce -->\n",
      "<option value=\"tr\" lang=\"tr\">TÃ¼rkÃ§e</option><!-- TÃ¼rkÃ§e -->\n",
      "<option value=\"uk\" lang=\"uk\">Ð£ÐºÑÐ°ÑÐ½ÑÑÐºÐ°</option><!-- Ukrayinsâka -->\n",
      "<option value=\"ur\" lang=\"ur\">Ø§Ø±Ø¯Ù</option><!-- Urdu -->\n",
      "<option value=\"vi\" lang=\"vi\">Tiáº¿ng Viá»t</option>\n",
      "<option value=\"war\" lang=\"war\">Winaray</option>\n",
      "<option value=\"zh\" lang=\"zh\">ä¸­æ</option><!-- ZhÅngwÃ©n -->\n",
      "<option value=\"ru\" lang=\"ru\">Ð ÑÑÑÐºÐ¸Ð¹</option><!-- Russkiy -->\n",
      "<option value=\"ce\" lang=\"ce\">ÐÐ¾ÑÑÐ¸Ð¹Ð½</option><!-- ÐÐ¾ÑÑÐ¸Ð¹Ð½ -->\n",
      "<option value=\"hy\" lang=\"hy\">ÕÕ¡ÕµÕ¥ÖÕ¥Õ¶</option><!-- Hayeren -->\n",
      "<option value=\"my\" lang=\"my\">áá¼ááºáá¬áá¬áá¬</option><!-- Myanmarsar -->\n",
      "<option value=\"yue\" lang=\"yue\">ç²µèª</option>\n",
      "<option value=\"nan\" lang=\"nan\">é©åèª / BÃ¢n-lÃ¢m-gÃº</option>\n",
      "</select>\n",
      "<div class=\"styled-select-active-helper\"></div>\n",
      "</div>\n",
      "<i class=\"sprite svg-arrow-down\"></i>\n",
      "</div>\n",
      "</div>\n",
      "<button class=\"pure-button pure-button-primary-progressive\" type=\"submit\">\n",
      "<i class=\"sprite svg-search-icon\" data-jsl10n=\"search-input-button\">Search</i>\n",
      "</button>\n",
      "<input type=\"hidden\" value=\"Go\" name=\"go\">\n",
      "</fieldset>\n",
      "</form>\n",
      "</div>\n",
      "<nav data-jsl10n=\"all-languages-nav-label\" aria-label=\"All languages\">\n",
      "<div class=\"lang-list-button-wrapper\">\n",
      "<button id=\"js-lang-list-button\" aria-expanded=\"false\" aria-controls=\"js-lang-lists\" class=\"lang-list-button\">\n",
      "<i class=\"sprite svg-language-icon\"></i>\n",
      "<span class=\"lang-list-button-text jsl10n\" data-jsl10n=\"portal.language-button-text\">Read Wikipedia in your language </span>\n",
      "<i class=\"sprite svg-arrow-down-blue\"></i>\n",
      "</button>\n",
      "</div>\n",
      "<div class=\"lang-list-border\"></div>\n",
      "<div class=\"lang-list-container\">\n",
      "<div id=\"js-lang-lists\" class=\"lang-list-content\">\n",
      "<h2 class=\"bookshelf-container\">\n",
      "<span class=\"bookshelf\">\n",
      "<span class=\"text\">\n",
      "<bdi dir=\"ltr\">\n",
      "1,000,000+\n",
      "</bdi>\n",
      "<span class=\"jsl10n\" data-jsl10n=\"entries\">\n",
      "articles\n",
      "</span>\n",
      "</span>\n",
      "</span>\n",
      "</h2>\n",
      "<div class=\"langlist langlist-large hlist\" data-el-section=\"secondary links\">\n",
      "<ul>\n",
      "<li><a href=\"//pl.wikipedia.org/\" lang=\"pl\">Polski</a></li>\n",
      "<li><a href=\"//ar.wikipedia.org/\" lang=\"ar\" title=\"Al-Ê¿ArabÄ«yah\"><bdi dir=\"rtl\">Ø§ÙØ¹Ø±Ø¨ÙØ©</bdi></a></li>\n",
      "<li><a href=\"//de.wikipedia.org/\" lang=\"de\">Deutsch</a></li>\n",
      "<li><a href=\"//en.wikipedia.org/\" lang=\"en\" title=\"English\">English</a></li>\n",
      "<li><a href=\"//es.wikipedia.org/\" lang=\"es\">EspaÃ±ol</a></li>\n",
      "<li><a href=\"//fr.wikipedia.org/\" lang=\"fr\" title=\"franÃ§ais\">FranÃ§ais</a></li>\n",
      "<li><a href=\"//it.wikipedia.org/\" lang=\"it\">Italiano</a></li>\n",
      "<li><a href=\"//arz.wikipedia.org/\" lang=\"arz\" title=\"Maá¹£rÄ«\"><bdi dir=\"rtl\">ÙØµØ±Ù</bdi></a></li>\n",
      "<li><a href=\"//nl.wikipedia.org/\" lang=\"nl\">Nederlands</a></li>\n",
      "<li><a href=\"//ja.wikipedia.org/\" lang=\"ja\" title=\"Nihongo\">æ¥æ¬èª</a></li>\n",
      "<li><a href=\"//pt.wikipedia.org/\" lang=\"pt\">PortuguÃªs</a></li>\n",
      "<li><a href=\"//ceb.wikipedia.org/\" lang=\"ceb\">Sinugboanong Binisaya</a></li>\n",
      "<li><a href=\"//sv.wikipedia.org/\" lang=\"sv\">Svenska</a></li>\n",
      "<li><a href=\"//uk.wikipedia.org/\" lang=\"uk\" title=\"Ukrayinsâka\">Ð£ÐºÑÐ°ÑÐ½ÑÑÐºÐ°</a></li>\n",
      "<li><a href=\"//vi.wikipedia.org/\" lang=\"vi\">Tiáº¿ng Viá»t</a></li>\n",
      "<li><a href=\"//war.wikipedia.org/\" lang=\"war\">Winaray</a></li>\n",
      "<li><a href=\"//zh.wikipedia.org/\" lang=\"zh\" title=\"ZhÅngwÃ©n\">ä¸­æ</a></li>\n",
      "<li><a href=\"//ru.wikipedia.org/\" lang=\"ru\" title=\"Russkiy\">Ð ÑÑÑÐºÐ¸Ð¹</a></li>\n",
      "</ul>\n",
      "</div>\n",
      "<h2 class=\"bookshelf-container\">\n",
      "<span class=\"bookshelf\">\n",
      "<span class=\"text\">\n",
      "<bdi dir=\"ltr\">\n",
      "100,000+\n",
      "</bdi>\n",
      "<span class=\"jsl10n\" data-jsl10n=\"portal.entries\">\n",
      "articles\n",
      "</span>\n",
      "</span>\n",
      "</span>\n",
      "</h2>\n",
      "<div class=\"langlist langlist-large hlist\" data-el-section=\"secondary links\">\n",
      "<ul>\n",
      "<li><a href=\"//af.wikipedia.org/\" lang=\"af\" title=\"Afrikaans\">Afrikaans</a></li>\n",
      "<li><a href=\"//ast.wikipedia.org/\" lang=\"ast\">Asturianu</a></li>\n",
      "<li><a href=\"//az.wikipedia.org/\" lang=\"az\">AzÉrbaycanca</a></li>\n",
      "<li><a href=\"//bg.wikipedia.org/\" lang=\"bg\" title=\"BÇlgarski\">ÐÑÐ»Ð³Ð°ÑÑÐºÐ¸</a></li>\n",
      "<li><a href=\"//bn.wikipedia.org/\" lang=\"bn\" title=\"Bangla\">à¦¬à¦¾à¦à¦²à¦¾</a></li>\n",
      "<li><a href=\"//be.wikipedia.org/\" lang=\"be\" title=\"Belaruskaya\">ÐÐµÐ»Ð°ÑÑÑÐºÐ°Ñ</a></li>\n",
      "<li><a href=\"//ca.wikipedia.org/\" lang=\"ca\">CatalÃ </a></li>\n",
      "<li><a href=\"//cs.wikipedia.org/\" lang=\"cs\" title=\"ÄeÅ¡tina\">ÄeÅ¡tina</a></li>\n",
      "<li><a href=\"//cy.wikipedia.org/\" lang=\"cy\" title=\"Cymraeg\">Cymraeg</a></li>\n",
      "<li><a href=\"//da.wikipedia.org/\" lang=\"da\">Dansk</a></li>\n",
      "<li><a href=\"//et.wikipedia.org/\" lang=\"et\">Eesti</a></li>\n",
      "<li><a href=\"//el.wikipedia.org/\" lang=\"el\" title=\"EllÄ«nikÃ¡\">ÎÎ»Î»Î·Î½Î¹ÎºÎ¬</a></li>\n",
      "<li><a href=\"//eo.wikipedia.org/\" lang=\"eo\">Esperanto</a></li>\n",
      "<li><a href=\"//fa.wikipedia.org/\" lang=\"fa\" title=\"FÄrsi\"><bdi dir=\"rtl\">ÙØ§Ø±Ø³Û</bdi></a></li>\n",
      "<li><a href=\"//gl.wikipedia.org/\" lang=\"gl\">Galego</a></li>\n",
      "<li><a href=\"//ko.wikipedia.org/\" lang=\"ko\" title=\"Hangugeo\">íêµ­ì´</a></li>\n",
      "<li><a href=\"//hi.wikipedia.org/\" lang=\"hi\" title=\"HindÄ«\">à¤¹à¤¿à¤¨à¥à¤¦à¥</a></li>\n",
      "<li><a href=\"//hr.wikipedia.org/\" lang=\"hr\">Hrvatski</a></li>\n",
      "<li><a href=\"//id.wikipedia.org/\" lang=\"id\">Bahasa Indonesia</a></li>\n",
      "<li><a href=\"//eu.wikipedia.org/\" lang=\"eu\">Ingelesa</a></li>\n",
      "<li><a href=\"//he.wikipedia.org/\" lang=\"he\" title=\"Ivrit\"><bdi dir=\"rtl\">×¢××¨××ª</bdi></a></li>\n",
      "<li><a href=\"//ka.wikipedia.org/\" lang=\"ka\" title=\"Kartuli\">á¥áá áá£áá</a></li>\n",
      "<li><a href=\"//lld.wikipedia.org/\" lang=\"lld\">Ladin</a></li>\n",
      "<li><a href=\"//la.wikipedia.org/\" lang=\"la\">Latina</a></li>\n",
      "<li><a href=\"//lv.wikipedia.org/\" lang=\"lv\">LatvieÅ¡u</a></li>\n",
      "<li><a href=\"//lt.wikipedia.org/\" lang=\"lt\">LietuviÅ³</a></li>\n",
      "<li><a href=\"//hu.wikipedia.org/\" lang=\"hu\">Magyar</a></li>\n",
      "<li><a href=\"//mk.wikipedia.org/\" lang=\"mk\" title=\"Makedonski\">ÐÐ°ÐºÐµÐ´Ð¾Ð½ÑÐºÐ¸</a></li>\n",
      "<li><a href=\"//ms.wikipedia.org/\" lang=\"ms\">Bahasa Melayu</a></li>\n",
      "<li><a href=\"//min.wikipedia.org/\" lang=\"min\">Bahaso Minangkabau</a></li>\n",
      "<li lang=\"no\">Norsk<ul><li><a href=\"//no.wikipedia.org/\" lang=\"nb\">bokmÃ¥l</a></li><li><a href=\"//nn.wikipedia.org/\" lang=\"nn\">nynorsk</a></li></ul></li>\n",
      "<li><a href=\"//uz.wikipedia.org/\" lang=\"uz\" title=\"OÊ»zbekcha\">OÊ»zbekcha / ÐÐ·Ð±ÐµÐºÑÐ°</a></li>\n",
      "<li><a href=\"//kk.wikipedia.org/\" lang=\"kk\"><span lang=\"kk-Cyrl\">ÒÐ°Ð·Ð°ÒÑÐ°</span> / <span lang=\"kk-Latn\">QazaqÅa</span> / <bdi lang=\"kk-Arab\" dir=\"rtl\">ÙØ§Ø²Ø§ÙØ´Ø§</bdi></a></li>\n",
      "<li><a href=\"//ro.wikipedia.org/\" lang=\"ro\" title=\"RomÃ¢nÄ\">RomÃ¢nÄ</a></li>\n",
      "<li><a href=\"//simple.wikipedia.org/\" lang=\"en\">Simple English</a></li>\n",
      "<li><a href=\"//sk.wikipedia.org/\" lang=\"sk\">SlovenÄina</a></li>\n",
      "<li><a href=\"//sl.wikipedia.org/\" lang=\"sl\" title=\"slovenÅ¡Äina\">SlovenÅ¡Äina</a></li>\n",
      "<li><a href=\"//sr.wikipedia.org/\" lang=\"sr\">Ð¡ÑÐ¿ÑÐºÐ¸ / Srpski</a></li>\n",
      "<li><a href=\"//sh.wikipedia.org/\" lang=\"sh\">Srpskohrvatski / Ð¡ÑÐ¿ÑÐºÐ¾ÑÑÐ²Ð°ÑÑÐºÐ¸</a></li>\n",
      "<li><a href=\"//fi.wikipedia.org/\" lang=\"fi\" title=\"suomi\">Suomi</a></li>\n",
      "<li><a href=\"//ta.wikipedia.org/\" lang=\"ta\" title=\"Tamiá¸»\">à®¤à®®à®¿à®´à¯</a></li>\n",
      "<li><a href=\"//tt.wikipedia.org/\" lang=\"tt\">Ð¢Ð°ÑÐ°ÑÑÐ° / TatarÃ§a</a></li>\n",
      "<li><a href=\"//th.wikipedia.org/\" lang=\"th\" title=\"Phasa Thai\">à¸ à¸²à¸©à¸²à¹à¸à¸¢</a></li>\n",
      "<li><a href=\"//tg.wikipedia.org/\" lang=\"tg\" title=\"TojikÄ«\">Ð¢Ð¾Ò·Ð¸ÐºÓ£</a></li>\n",
      "<li><a href=\"//azb.wikipedia.org/\" lang=\"azb\" title=\"TÃ¼rkce\"><bdi dir=\"rtl\">ØªÛØ±Ú©Ø¬Ù</bdi></a></li>\n",
      "<li><a href=\"//tr.wikipedia.org/\" lang=\"tr\" title=\"TÃ¼rkÃ§e\">TÃ¼rkÃ§e</a></li>\n",
      "<li><a href=\"//ur.wikipedia.org/\" lang=\"ur\" title=\"Urdu\"><bdi dir=\"rtl\">Ø§Ø±Ø¯Ù</bdi></a></li>\n",
      "<li><a href=\"//ce.wikipedia.org/\" lang=\"ce\" title=\"ÐÐ¾ÑÑÐ¸Ð¹Ð½\">ÐÐ¾ÑÑÐ¸Ð¹Ð½</a></li>\n",
      "<li><a href=\"//hy.wikipedia.org/\" lang=\"hy\" title=\"Hayeren\">ÕÕ¡ÕµÕ¥ÖÕ¥Õ¶</a></li>\n",
      "<li><a href=\"//my.wikipedia.org/\" lang=\"my\" title=\"Myanmarsar\">áá¼ááºáá¬áá¬áá¬</a></li>\n",
      "<li><a href=\"//zh-yue.wikipedia.org/\" lang=\"yue\">ç²µèª</a></li>\n",
      "<li><a href=\"//zh-min-nan.wikipedia.org/\" lang=\"nan\">é©åèª / BÃ¢n-lÃ¢m-gÃº</a></li>\n",
      "</ul>\n",
      "</div>\n",
      "<h2 class=\"bookshelf-container\">\n",
      "<span class=\"bookshelf\">\n",
      "<span class=\"text\">\n",
      "<bdi dir=\"ltr\">\n",
      "10,000+\n",
      "</bdi>\n",
      "<span class=\"jsl10n\" data-jsl10n=\"portal.entries\">\n",
      "articles\n",
      "</span>\n",
      "</span>\n",
      "</span>\n",
      "</h2>\n",
      "<div class=\"langlist hlist\" data-el-section=\"secondary links\">\n",
      "<ul>\n",
      "<li><a href=\"//ace.wikipedia.org/\" lang=\"ace\">Bahsa AcÃ¨h</a></li>\n",
      "<li><a href=\"//als.wikipedia.org/\" lang=\"gsw\">Alemannisch</a></li>\n",
      "<li><a href=\"//am.wikipedia.org/\" lang=\"am\" title=\"ÄmariÃ±Ã±Ä\">á áá­á</a></li>\n",
      "<li><a href=\"//an.wikipedia.org/\" lang=\"an\">AragonÃ©s</a></li>\n",
      "<li><a href=\"//hyw.wikipedia.org/\" lang=\"hyw\" title=\"Arevmdahayeren\">Ô±ÖÕ¥ÖÕ´Õ¿Õ¡Õ°Õ¡ÕµÕ¥ÖÕ§Õ¶</a></li>\n",
      "<li><a href=\"//gor.wikipedia.org/\" lang=\"gor\">Bahasa Hulontalo</a></li>\n",
      "<li><a href=\"//ban.wikipedia.org/\" lang=\"ban\" title=\"Basa Bali\">Basa Bali</a></li>\n",
      "<li><a href=\"//bjn.wikipedia.org/\" lang=\"bjn\">Bahasa Banjar</a></li>\n",
      "<li><a href=\"//map-bms.wikipedia.org/\" lang=\"map-x-bms\">Basa Banyumasan</a></li>\n",
      "<li><a href=\"//ba.wikipedia.org/\" lang=\"ba\" title=\"BaÅqortsa\">ÐÐ°ÑÒ¡Ð¾ÑÑÑÐ°</a></li>\n",
      "<li><a href=\"//be-tarask.wikipedia.org/\" lang=\"be-tarask\" title=\"Bielaruskaja (taraÅ¡kievica)\">ÐÐµÐ»Ð°ÑÑÑÐºÐ°Ñ (ÑÐ°ÑÐ°ÑÐºÐµÐ²ÑÑÐ°)</a></li>\n",
      "<li><a href=\"//bcl.wikipedia.org/\" lang=\"bcl\">Bikol Central</a></li>\n",
      "<li><a href=\"//bpy.wikipedia.org/\" lang=\"bpy\" title=\"Bishnupriya Manipuri\">à¦¬à¦¿à¦·à§à¦£à§à¦ªà§à¦°à¦¿à¦¯à¦¼à¦¾ à¦®à¦£à¦¿à¦ªà§à¦°à§</a></li>\n",
      "<li><a href=\"//bar.wikipedia.org/\" lang=\"bar\">Boarisch</a></li>\n",
      "<li><a href=\"//bs.wikipedia.org/\" lang=\"bs\">Bosanski</a></li>\n",
      "<li><a href=\"//br.wikipedia.org/\" lang=\"br\">Brezhoneg</a></li>\n",
      "<li><a href=\"//cv.wikipedia.org/\" lang=\"cv\" title=\"ÄÄvaÅ¡la\">Ð§ÓÐ²Ð°ÑÐ»Ð°</a></li>\n",
      "<li><a href=\"//nv.wikipedia.org/\" lang=\"nv\">DinÃ© Bizaad</a></li>\n",
      "<li><a href=\"//eml.wikipedia.org/\" lang=\"roa-x-eml\">EmigliÃ nâRumagnÃ²l</a></li>\n",
      "<li><a href=\"//hif.wikipedia.org/\" lang=\"hif\">Fiji Hindi</a></li>\n",
      "<li><a href=\"//fo.wikipedia.org/\" lang=\"fo\">FÃ¸royskt</a></li>\n",
      "<li><a href=\"//fy.wikipedia.org/\" lang=\"fy\">Frysk</a></li>\n",
      "<li><a href=\"//ga.wikipedia.org/\" lang=\"ga\">Gaeilge</a></li>\n",
      "<li><a href=\"//gd.wikipedia.org/\" lang=\"gd\">GÃ idhlig</a></li>\n",
      "<li><a href=\"//gu.wikipedia.org/\" lang=\"gu\" title=\"Gujarati\">àªà«àªàª°àª¾àª¤à«</a></li>\n",
      "<li><a href=\"//hak.wikipedia.org/\" lang=\"hak\">Hak-kÃ¢-ngÃ® / å®¢å®¶èª</a></li>\n",
      "<li><a href=\"//ha.wikipedia.org/\" lang=\"ha\" title=\"Hausa\">Hausa</a></li>\n",
      "<li><a href=\"//hsb.wikipedia.org/\" lang=\"hsb\">Hornjoserbsce</a></li>\n",
      "<li><a href=\"//io.wikipedia.org/\" lang=\"io\" title=\"Ido\">Ido</a></li>\n",
      "<li><a href=\"//ig.wikipedia.org/\" lang=\"ig\">Igbo</a></li>\n",
      "<li><a href=\"//ilo.wikipedia.org/\" lang=\"ilo\">Ilokano</a></li>\n",
      "<li><a href=\"//ia.wikipedia.org/\" lang=\"ia\">Interlingua</a></li>\n",
      "<li><a href=\"//ie.wikipedia.org/\" lang=\"ie\">Interlingue</a></li>\n",
      "<li><a href=\"//os.wikipedia.org/\" lang=\"os\" title=\"Iron\">ÐÑÐ¾Ð½</a></li>\n",
      "<li><a href=\"//is.wikipedia.org/\" lang=\"is\">Ãslenska</a></li>\n",
      "<li><a href=\"//jv.wikipedia.org/\" lang=\"jv\" title=\"Jawa\">Jawa</a></li>\n",
      "<li><a href=\"//kn.wikipedia.org/\" lang=\"kn\" title=\"Kannada\">à²à²¨à³à²¨à²¡</a></li>\n",
      "<li><a href=\"//km.wikipedia.org/\" lang=\"km\" title=\"PhÃ©asa KhmÃ©r\">áá¶áá¶ááááá</a></li>\n",
      "<li><a href=\"//avk.wikipedia.org/\" lang=\"avk\">Kotava</a></li>\n",
      "<li><a href=\"//ht.wikipedia.org/\" lang=\"ht\">KreyÃ²l Ayisyen</a></li>\n",
      "<li><a href=\"//ku.wikipedia.org/\" lang=\"ku\"><span lang=\"ku-Latn\">KurdÃ®</span> / <bdi lang=\"ku-Arab\" dir=\"rtl\">ÙÙØ±Ø¯Û</bdi></a></li>\n",
      "<li><a href=\"//ckb.wikipedia.org/\" lang=\"ckb\" title=\"KurdÃ®y NawendÃ®\"><bdi dir=\"rtl\">Ú©ÙØ±Ø¯ÛÛ ÙØ§ÙÛÙØ¯Û</bdi></a></li>\n",
      "<li><a href=\"//ky.wikipedia.org/\" lang=\"ky\" title=\"KyrgyzÄa\">ÐÑÑÐ³ÑÐ·ÑÐ°</a></li>\n",
      "<li><a href=\"//mrj.wikipedia.org/\" lang=\"mjr\" title=\"Kyryk Mary\">ÐÑÑÑÐº Ð¼Ð°ÑÑ</a></li>\n",
      "<li><a href=\"//lb.wikipedia.org/\" lang=\"lb\">LÃ«tzebuergesch</a></li>\n",
      "<li><a href=\"//lij.wikipedia.org/\" lang=\"lij\">LÃ¬gure</a></li>\n",
      "<li><a href=\"//li.wikipedia.org/\" lang=\"li\">Limburgs</a></li>\n",
      "<li><a href=\"//lmo.wikipedia.org/\" lang=\"lmo\">Lombard</a></li>\n",
      "<li><a href=\"//mai.wikipedia.org/\" lang=\"mai\" title=\"MaithilÄ«\">à¤®à¥à¤¥à¤¿à¤²à¥</a></li>\n",
      "<li><a href=\"//mg.wikipedia.org/\" lang=\"mg\">Malagasy</a></li>\n",
      "<li><a href=\"//ml.wikipedia.org/\" lang=\"ml\" title=\"Malayalam\">à´®à´²à´¯à´¾à´³à´</a></li>\n",
      "<li><a href=\"//mr.wikipedia.org/\" lang=\"mr\" title=\"Marathi\">à¤®à¤°à¤¾à¤ à¥</a></li>\n",
      "<li><a href=\"//xmf.wikipedia.org/\" lang=\"xmf\" title=\"Margaluri\">ááá áááá£á á</a></li>\n",
      "<li><a href=\"//mzn.wikipedia.org/\" lang=\"mzn\" title=\"MÃ¤zeruni\"><bdi dir=\"rtl\">ÙØ§Ø²ÙØ±ÙÙÛ</bdi></a></li>\n",
      "<li><a href=\"//cdo.wikipedia.org/\" lang=\"cdo\" title=\"Ming-deng-ngu\">MÃ¬ng-dÄÌ¤ng-ngá¹³Ì / é©æ±èª</a></li>\n",
      "<li><a href=\"//mn.wikipedia.org/\" lang=\"mn\" title=\"Mongol\">ÐÐ¾Ð½Ð³Ð¾Ð»</a></li>\n",
      "<li><a href=\"//nap.wikipedia.org/\" lang=\"nap\">Napulitano</a></li>\n",
      "<li><a href=\"//new.wikipedia.org/\" lang=\"new\" title=\"Nepal Bhasa\">à¤¨à¥à¤ªà¤¾à¤² à¤­à¤¾à¤·à¤¾</a></li>\n",
      "<li><a href=\"//ne.wikipedia.org/\" lang=\"ne\" title=\"NepÄlÄ«\">à¤¨à¥à¤ªà¤¾à¤²à¥</a></li>\n",
      "<li><a href=\"//frr.wikipedia.org/\" lang=\"frr\">Nordfriisk</a></li>\n",
      "<li><a href=\"//oc.wikipedia.org/\" lang=\"oc\">Occitan</a></li>\n",
      "<li><a href=\"//mhr.wikipedia.org/\" lang=\"mhr\" title=\"Olyk Marij\">ÐÐ»ÑÐº Ð¼Ð°ÑÐ¸Ð¹</a></li>\n",
      "<li><a href=\"//or.wikipedia.org/\" lang=\"or\" title=\"Oá¹iÄ\">à¬à¬¡à¬¿à¬¼à¬</a></li>\n",
      "<li><a href=\"//as.wikipedia.org/\" lang=\"as\" title=\"ÃxÃ´miya\">à¦à¦¸à¦®à§à¦¯à¦¾à¦¼</a></li>\n",
      "<li><a href=\"//pa.wikipedia.org/\" lang=\"pa\" title=\"PaÃ±jÄbÄ« (GurmukhÄ«)\">à¨ªà©°à¨à¨¾à¨¬à© (à¨à©à¨°à¨®à©à¨à©)</a></li>\n",
      "<li><a href=\"//pnb.wikipedia.org/\" lang=\"pnb\" title=\"PaÃ±jÄbÄ« (ShÄhmukhÄ«)\"><bdi dir=\"rtl\">Ù¾ÙØ¬Ø§Ø¨Û (Ø´Ø§Û ÙÚ©Ú¾Û)</bdi></a></li>\n",
      "<li><a href=\"//ps.wikipedia.org/\" lang=\"ps\" title=\"PaÊto\"><bdi dir=\"rtl\">Ù¾ÚØªÙ</bdi></a></li>\n",
      "<li><a href=\"//pms.wikipedia.org/\" lang=\"pms\">PiemontÃ¨is</a></li>\n",
      "<li><a href=\"//nds.wikipedia.org/\" lang=\"nds\">PlattdÃ¼Ã¼tsch</a></li>\n",
      "<li><a href=\"//crh.wikipedia.org/\" lang=\"crh\">QÄ±rÄ±mtatarca</a></li>\n",
      "<li><a href=\"//qu.wikipedia.org/\" lang=\"qu\">Runa Simi</a></li>\n",
      "<li><a href=\"//sa.wikipedia.org/\" lang=\"sa\" title=\"Saá¹ská¹tam\">à¤¸à¤à¤¸à¥à¤à¥à¤¤à¤®à¥</a></li>\n",
      "<li><a href=\"//sat.wikipedia.org/\" lang=\"sat\" title=\"Santali\">á±¥á±á±±á±á±á±²á±¤</a></li>\n",
      "<li><a href=\"//sah.wikipedia.org/\" lang=\"sah\" title=\"Saxa Tyla\">Ð¡Ð°ÑÐ° Ð¢ÑÐ»Ð°</a></li>\n",
      "<li><a href=\"//sco.wikipedia.org/\" lang=\"sco\">Scots</a></li>\n",
      "<li><a href=\"//sn.wikipedia.org/\" lang=\"sn\">ChiShona</a></li>\n",
      "<li><a href=\"//sq.wikipedia.org/\" lang=\"sq\">Shqip</a></li>\n",
      "<li><a href=\"//scn.wikipedia.org/\" lang=\"scn\">Sicilianu</a></li>\n",
      "<li><a href=\"//si.wikipedia.org/\" lang=\"si\" title=\"Siá¹hala\">à·à·à¶à·à¶½</a></li>\n",
      "<li><a href=\"//sd.wikipedia.org/\" lang=\"sd\" title=\"SindhÄ«\"><bdi dir=\"rtl\">Ø³ÙÚÙ</bdi></a></li>\n",
      "<li><a href=\"//szl.wikipedia.org/\" lang=\"szl\">ÅlÅ¯nski</a></li>\n",
      "<li><a href=\"//su.wikipedia.org/\" lang=\"su\">Basa Sunda</a></li>\n",
      "<li><a href=\"//sw.wikipedia.org/\" lang=\"sw\">Kiswahili</a></li>\n",
      "<li><a href=\"//tl.wikipedia.org/\" lang=\"tl\">Tagalog</a></li>\n",
      "<li><a href=\"//shn.wikipedia.org/\" lang=\"shn\">á½áááááááá¸</a></li>\n",
      "<li><a href=\"//te.wikipedia.org/\" lang=\"te\" title=\"Telugu\">à°¤à±à°²à±à°à±</a></li>\n",
      "<li><a href=\"//tum.wikipedia.org/\" lang=\"tum\">chiTumbuka</a></li>\n",
      "<li><a href=\"//bug.wikipedia.org/\" lang=\"bug\">Basa Ugi</a></li>\n",
      "<li><a href=\"//vec.wikipedia.org/\" lang=\"vec\">VÃ¨neto</a></li>\n",
      "<li><a href=\"//vo.wikipedia.org/\" lang=\"vo\">VolapÃ¼k</a></li>\n",
      "<li><a href=\"//wa.wikipedia.org/\" lang=\"wa\">Walon</a></li>\n",
      "<li><a href=\"//zh-classical.wikipedia.org/\" lang=\"lzh\" title=\"WÃ©nyÃ¡n\">æè¨</a></li>\n",
      "<li><a href=\"//wuu.wikipedia.org/\" lang=\"wuu\" title=\"WÃºyÇ\">å´è¯­</a></li>\n",
      "<li><a href=\"//yi.wikipedia.org/\" lang=\"yi\" title=\"YidiÅ¡\"><bdi dir=\"rtl\">××Ö´×××©</bdi></a></li>\n",
      "<li><a href=\"//yo.wikipedia.org/\" lang=\"yo\">YorÃ¹bÃ¡</a></li>\n",
      "<li><a href=\"//diq.wikipedia.org/\" lang=\"diq\" title=\"Zazaki\">Zazaki</a></li>\n",
      "<li><a href=\"//zu.wikipedia.org/\" lang=\"zu\">isiZulu</a></li>\n",
      "<li><a href=\"//bat-smg.wikipedia.org/\" lang=\"sgs\">Å¾emaitÄÅ¡ka</a></li>\n",
      "<li><a href=\"//mni.wikipedia.org/\" lang=\"mni\">ê¯ê¯¤ê¯ê¯© ê¯ê¯£ê¯</a></li>\n",
      "</ul>\n",
      "</div>\n",
      "<h2 class=\"bookshelf-container\">\n",
      "<span class=\"bookshelf\">\n",
      "<span class=\"text\">\n",
      "<bdi dir=\"ltr\">\n",
      "1,000+\n",
      "</bdi>\n",
      "<span class=\"jsl10n\" data-jsl10n=\"portal.entries\">\n",
      "articles\n",
      "</span>\n",
      "</span>\n",
      "</span>\n",
      "</h2>\n",
      "<div class=\"langlist hlist\" data-el-section=\"secondary links\">\n",
      "<ul>\n",
      "<li><a href=\"//lad.wikipedia.org/\" lang=\"lad\"><span lang=\"lad-Latn\">Dzhudezmo</span> / <bdi lang=\"lad-Hebr\" dir=\"rtl\">××××× ×</bdi></a></li>\n",
      "<li><a href=\"//kbd.wikipedia.org/\" lang=\"kbd\" title=\"Adighabze\">ÐÐ´ÑÐ³ÑÐ±Ð·Ñ</a></li>\n",
      "<li><a href=\"//ang.wikipedia.org/\" lang=\"ang\">Ãnglisc</a></li>\n",
      "<li><a href=\"//smn.wikipedia.org/\" lang=\"smn\" title=\"anarÃ¢Å¡kielÃ¢\">AnarÃ¢Å¡kielÃ¢</a></li>\n",
      "<li><a href=\"//anp.wikipedia.org/\" lang=\"anp\" title=\"Angika\">à¤à¤à¤à¤¿à¤à¤¾</a></li>\n",
      "<li><a href=\"//ab.wikipedia.org/\" lang=\"ab\" title=\"aá¹sshwa\">ÐÔ¥ÑÑÓÐ°</a></li>\n",
      "<li><a href=\"//roa-rup.wikipedia.org/\" lang=\"rup\">armÃ£neashti</a></li>\n",
      "<li><a href=\"//frp.wikipedia.org/\" lang=\"frp\">Arpitan</a></li>\n",
      "<li><a href=\"//atj.wikipedia.org/\" lang=\"atj\">atikamekw</a></li>\n",
      "<li><a href=\"//arc.wikipedia.org/\" lang=\"arc\" title=\"ÄtÃ»rÄyÃ¢\"><bdi dir=\"rtl\">ÜÜ¬ÜÜªÜÜ</bdi></a></li>\n",
      "<li><a href=\"//gn.wikipedia.org/\" lang=\"gn\">AvaÃ±eâáº½</a></li>\n",
      "<li><a href=\"//av.wikipedia.org/\" lang=\"av\" title=\"Avar\">ÐÐ²Ð°Ñ</a></li>\n",
      "<li><a href=\"//ay.wikipedia.org/\" lang=\"ay\">Aymar</a></li>\n",
      "<li><a href=\"//bh.wikipedia.org/\" lang=\"bh\" title=\"BhÅjapurÄ«\">à¤­à¥à¤à¤ªà¥à¤°à¥</a></li>\n",
      "<li><a href=\"//bi.wikipedia.org/\" lang=\"bi\">Bislama</a></li>\n",
      "<li><a href=\"//bo.wikipedia.org/\" lang=\"bo\" title=\"Bod Skad\">à½à½¼à½à¼à½¡à½²à½</a></li>\n",
      "<li><a href=\"//bxr.wikipedia.org/\" lang=\"bxr\" title=\"Buryad\">ÐÑÑÑÐ°Ð´</a></li>\n",
      "<li><a href=\"//cbk-zam.wikipedia.org/\" lang=\"cbk-x-zam\">Chavacano de Zamboanga</a></li>\n",
      "<li><a href=\"//ny.wikipedia.org/\" lang=\"ny\">Chichewa</a></li>\n",
      "<li><a href=\"//co.wikipedia.org/\" lang=\"co\">Corsu</a></li>\n",
      "<li><a href=\"//za.wikipedia.org/\" lang=\"za\">Vahcuengh / è©±å®</a></li>\n",
      "<li><a href=\"//dga.wikipedia.org/\" lang=\"dga\">Dagaare</a></li>\n",
      "<li><a href=\"//dag.wikipedia.org/\" lang=\"dag\">Dagbanli</a></li>\n",
      "<li><a href=\"//ary.wikipedia.org/\" lang=\"ary\" title=\"Darija\"><bdi dir=\"rtl\">Ø§ÙØ¯Ø§Ø±Ø¬Ø©</bdi></a></li>\n",
      "<li><a href=\"//se.wikipedia.org/\" lang=\"se\" title=\"davvisÃ¡megiella\">DavvisÃ¡megiella</a></li>\n",
      "<li><a href=\"//pdc.wikipedia.org/\" lang=\"pdc\">Deitsch</a></li>\n",
      "<li><a href=\"//dv.wikipedia.org/\" lang=\"dv\" title=\"Divehi\"><bdi dir=\"rtl\">ÞÞ¨ÞÞ¬ÞÞ¨ÞÞ¦ÞÞ°</bdi></a></li>\n",
      "<li><a href=\"//dsb.wikipedia.org/\" lang=\"dsb\">Dolnoserbski</a></li>\n",
      "<li><a href=\"//myv.wikipedia.org/\" lang=\"myv\" title=\"Erzjanj\">Ð­ÑÐ·ÑÐ½Ñ</a></li>\n",
      "<li><a href=\"//ext.wikipedia.org/\" lang=\"ext\">EstremeÃ±u</a></li>\n",
      "<li><a href=\"//ff.wikipedia.org/\" lang=\"ff\">Fulfulde</a></li>\n",
      "<li><a href=\"//fur.wikipedia.org/\" lang=\"fur\">Furlan</a></li>\n",
      "<li><a href=\"//gv.wikipedia.org/\" lang=\"gv\">Gaelg</a></li>\n",
      "<li><a href=\"//gag.wikipedia.org/\" lang=\"gag\">Gagauz</a></li>\n",
      "<li><a href=\"//inh.wikipedia.org/\" lang=\"inh\" title=\"Ghalghai\">ÐÓÐ°Ð»Ð³ÓÐ°Ð¹</a></li>\n",
      "<li><a href=\"//ki.wikipedia.org/\" lang=\"ki\">GÄ©kÅ©yÅ©</a></li>\n",
      "<li><a href=\"//glk.wikipedia.org/\" lang=\"glk\" title=\"GilÉki\"><bdi dir=\"rtl\">Ú¯ÛÙÚ©Û</bdi></a></li>\n",
      "<li><a href=\"//gan.wikipedia.org/\" lang=\"gan\" title=\"Gon ua\" data-hans=\"èµ£è¯­\" data-hant=\"è´èª\" class=\"jscnconv\">èµ£è¯­ / è´èª</a></li>\n",
      "<li><a href=\"//guw.wikipedia.org/\" lang=\"guw\">Gungbe</a></li>\n",
      "<li><a href=\"//xal.wikipedia.org/\" lang=\"xal\" title=\"HalÊ¹mg\">Ð¥Ð°Ð»ÑÐ¼Ð³</a></li>\n",
      "<li><a href=\"//haw.wikipedia.org/\" lang=\"haw\">Ê»Ålelo HawaiÊ»i</a></li>\n",
      "<li><a href=\"//rw.wikipedia.org/\" lang=\"rw\">Ikinyarwanda</a></li>\n",
      "<li><a href=\"//kbp.wikipedia.org/\" lang=\"kbp\">KabÉ©yÉ</a></li>\n",
      "<li><a href=\"//pam.wikipedia.org/\" lang=\"pam\">Kapampangan</a></li>\n",
      "<li><a href=\"//csb.wikipedia.org/\" lang=\"csb\">KaszÃ«bsczi</a></li>\n",
      "<li><a href=\"//kw.wikipedia.org/\" lang=\"kw\">Kernewek</a></li>\n",
      "<li><a href=\"//kv.wikipedia.org/\" lang=\"kv\" title=\"Komi\">ÐÐ¾Ð¼Ð¸</a></li>\n",
      "<li><a href=\"//koi.wikipedia.org/\" lang=\"koi\" title=\"Perem Komi\">ÐÐµÑÐµÐ¼ ÐºÐ¾Ð¼Ð¸</a></li>\n",
      "<li><a href=\"//kg.wikipedia.org/\" lang=\"kg\">Kongo</a></li>\n",
      "<li><a href=\"//gom.wikipedia.org/\" lang=\"gom\">à¤à¥à¤à¤à¤£à¥ / Konknni</a></li>\n",
      "<li><a href=\"//ks.wikipedia.org/\" lang=\"ks\" title=\"Koshur\"><bdi dir=\"rtl\">ÙÙ²Ø´ÙØ±</bdi></a></li>\n",
      "<li><a href=\"//gcr.wikipedia.org/\" lang=\"gcr\" title=\"KriyÃ²l Gwiyannen\">KriyÃ²l Gwiyannen</a></li>\n",
      "<li><a href=\"//lo.wikipedia.org/\" lang=\"lo\" title=\"Phaasaa Laao\">àºàº²àºªàº²àº¥àº²àº§</a></li>\n",
      "<li><a href=\"//lbe.wikipedia.org/\" lang=\"lbe\" title=\"Lakku\">ÐÐ°ÐºÐºÑ</a></li>\n",
      "<li><a href=\"//ltg.wikipedia.org/\" lang=\"ltg\">LatgaÄ¼u</a></li>\n",
      "<li><a href=\"//lez.wikipedia.org/\" lang=\"lez\" title=\"Lezgi\">ÐÐµÐ·Ð³Ð¸</a></li>\n",
      "<li><a href=\"//nia.wikipedia.org/\" lang=\"nia\">Li Niha</a></li>\n",
      "<li><a href=\"//ln.wikipedia.org/\" lang=\"ln\">LingÃ¡la</a></li>\n",
      "<li><a href=\"//lfn.wikipedia.org/\" lang=\"lfn\">Lingua Franca Nova</a></li>\n",
      "<li><a href=\"//olo.wikipedia.org/\" lang=\"olo\">livvinkarjala</a></li>\n",
      "<li><a href=\"//jbo.wikipedia.org/\" lang=\"jbo\">lojban</a></li>\n",
      "<li><a href=\"//lg.wikipedia.org/\" lang=\"lg\">Luganda</a></li>\n",
      "<li><a href=\"//mad.wikipedia.org/\" lang=\"mad\">MadhurÃ¢</a></li>\n",
      "<li><a href=\"//mt.wikipedia.org/\" lang=\"mt\">Malti</a></li>\n",
      "<li><a href=\"//mi.wikipedia.org/\" lang=\"mi\">MÄori</a></li>\n",
      "<li><a href=\"//tw.wikipedia.org/\" lang=\"tw\" title=\"Mfantse\">Twi</a></li>\n",
      "<li><a href=\"//mwl.wikipedia.org/\" lang=\"mwl\">MirandÃ©s</a></li>\n",
      "<li><a href=\"//mdf.wikipedia.org/\" lang=\"mdf\" title=\"MokÅ¡enj\">ÐÐ¾ÐºÑÐµÐ½Ñ</a></li>\n",
      "<li><a href=\"//mnw.wikipedia.org/\" lang=\"mnw\">áá¬áá¬ áááº</a></li>\n",
      "<li><a href=\"//nqo.wikipedia.org/\" lang=\"nqo\" title=\"N&#x27;Ko\">ßßß</a></li>\n",
      "<li><a href=\"//fj.wikipedia.org/\" lang=\"fj\">Na Vosa Vaka-Viti</a></li>\n",
      "<li><a href=\"//nah.wikipedia.org/\" lang=\"nah\">NÄhuatlahtÅlli</a></li>\n",
      "<li><a href=\"//pcm.wikipedia.org/\" lang=\"pcm\">NaijÃ¡</a></li>\n",
      "<li><a href=\"//nds-nl.wikipedia.org/\" lang=\"nds-nl\">Nedersaksisch</a></li>\n",
      "<li><a href=\"//nrm.wikipedia.org/\" lang=\"roa-x-nrm\">Nouormand / Normaund</a></li>\n",
      "<li><a href=\"//nov.wikipedia.org/\" lang=\"nov\">Novial</a></li>\n",
      "<li><a href=\"//om.wikipedia.org/\" lang=\"om\" title=\"Ingiliffaa\">Afaan Oromoo</a></li>\n",
      "<li><a href=\"//blk.wikipedia.org/\" lang=\"blk\">áá¡á­á¯ááºááá¬ááá¬á</a></li>\n",
      "<li><a href=\"//pi.wikipedia.org/\" lang=\"pi\" title=\"PÄá¸·i\">à¤ªà¤¾à¤²à¤¿</a></li>\n",
      "<li><a href=\"//pag.wikipedia.org/\" lang=\"pag\">PangasinÃ¡n</a></li>\n",
      "<li><a href=\"//ami.wikipedia.org/\" lang=\"ami\">Pangcah</a></li>\n",
      "<li><a href=\"//pap.wikipedia.org/\" lang=\"pap\">Papiamentu</a></li>\n",
      "<li><a href=\"//jam.wikipedia.org/\" lang=\"jam\">Patois</a></li>\n",
      "<li><a href=\"//pfl.wikipedia.org/\" lang=\"pfl\">PfÃ¤lzisch</a></li>\n",
      "<li><a href=\"//pcd.wikipedia.org/\" lang=\"pcd\">Picard</a></li>\n",
      "<li><a href=\"//krc.wikipedia.org/\" lang=\"krc\" title=\"QaraÃ§ayâMalqar\">ÐÑÐ°ÑÐ°ÑÐ°Ð¹âÐ¼Ð°Ð»ÐºÑÐ°Ñ</a></li>\n",
      "<li><a href=\"//kaa.wikipedia.org/\" lang=\"kaa\" title=\"Qaraqalpaqsha\">Qaraqalpaqsha</a></li>\n",
      "<li><a href=\"//ksh.wikipedia.org/\" lang=\"ksh\">Ripoarisch</a></li>\n",
      "<li><a href=\"//rmy.wikipedia.org/\" lang=\"rmy\">romani Ähib</a></li>\n",
      "<li><a href=\"//rm.wikipedia.org/\" lang=\"rm\">Rumantsch</a></li>\n",
      "<li><a href=\"//rue.wikipedia.org/\" lang=\"rue\" title=\"Rusinâskyj\">Ð ÑÑÐ¸Ð½ÑÑÐºÑÐ¹</a></li>\n",
      "<li><a href=\"//szy.wikipedia.org/\" lang=\"szy\">Sakizaya</a></li>\n",
      "<li><a href=\"//sm.wikipedia.org/\" lang=\"sm\">Gagana SÄmoa</a></li>\n",
      "<li><a href=\"//skr.wikipedia.org/\" lang=\"skr\" title=\"Saraiki\">Ø³Ø±Ø§Ø¦ÛÚ©Û</a></li>\n",
      "<li><a href=\"//sc.wikipedia.org/\" lang=\"sc\" title=\"Sardu\">Sardu</a></li>\n",
      "<li><a href=\"//trv.wikipedia.org/\" lang=\"trv\">Seediq</a></li>\n",
      "<li><a href=\"//stq.wikipedia.org/\" lang=\"stq\">Seeltersk</a></li>\n",
      "<li><a href=\"//nso.wikipedia.org/\" lang=\"nso\">Sesotho sa Leboa</a></li>\n",
      "<li><a href=\"//tn.wikipedia.org/\" lang=\"tn\">Setswana</a></li>\n",
      "<li><a href=\"//cu.wikipedia.org/\" lang=\"cu\" title=\"SlovÄnÄ­skÅ­\">Ð¡Ð»Ð¾Ð²Ñ£ÌÐ½ÑÑÐºÑ / â°â°â°â°â°¡â°â° â°â°â°</a></li>\n",
      "<li><a href=\"//so.wikipedia.org/\" lang=\"so\">Soomaaliga</a></li>\n",
      "<li><a href=\"//srn.wikipedia.org/\" lang=\"srn\">Sranantongo</a></li>\n",
      "<li><a href=\"//shi.wikipedia.org/\" lang=\"shi\">Taclá¸¥it</a></li>\n",
      "<li><a href=\"//zgh.wikipedia.org/\" lang=\"zgh\" title=\"Tamazight tanawayt\">âµâ´°âµâ´°âµ£âµâµâµ âµâ´°âµâ´°âµ¡â´°âµ¢âµ</a></li>\n",
      "<li><a href=\"//kab.wikipedia.org/\" lang=\"kab\" title=\"Taqbaylit\">Taqbaylit</a></li>\n",
      "<li><a href=\"//roa-tara.wikipedia.org/\" lang=\"roa\">TarandÃ­ne</a></li>\n",
      "<li><a href=\"//tay.wikipedia.org/\" lang=\"tay\">Tayal</a></li>\n",
      "<li><a href=\"//tet.wikipedia.org/\" lang=\"tet\">Tetun</a></li>\n",
      "<li><a href=\"//tpi.wikipedia.org/\" lang=\"tpi\">Tok Pisin</a></li>\n",
      "<li><a href=\"//tly.wikipedia.org/\" lang=\"tly\">tolÄ±Åi</a></li>\n",
      "<li><a href=\"//to.wikipedia.org/\" lang=\"to\">faka Tonga</a></li>\n",
      "<li><a href=\"//chr.wikipedia.org/\" lang=\"chr\" title=\"Tsalagi\">á£á³á©</a></li>\n",
      "<li><a href=\"//tk.wikipedia.org/\" lang=\"tk\">TÃ¼rkmenÃ§e</a></li>\n",
      "<li><a href=\"//tyv.wikipedia.org/\" lang=\"tyv\" title=\"Tyva dyl\">Ð¢ÑÐ²Ð° Ð´ÑÐ»</a></li>\n",
      "<li><a href=\"//udm.wikipedia.org/\" lang=\"udm\" title=\"Udmurt\">Ð£Ð´Ð¼ÑÑÑ</a></li>\n",
      "<li><a href=\"//ug.wikipedia.org/\" lang=\"ug\"><bdi dir=\"rtl\">Ø¦ÛÙØºÛØ±ÚÙ</bdi></a></li>\n",
      "<li><a href=\"//vep.wikipedia.org/\" lang=\"vep\">VepsÃ¤n</a></li>\n",
      "<li><a href=\"//fiu-vro.wikipedia.org/\" lang=\"vro\">vÃµro</a></li>\n",
      "<li><a href=\"//vls.wikipedia.org/\" lang=\"vls\">West-Vlams</a></li>\n",
      "<li><a href=\"//wo.wikipedia.org/\" lang=\"wo\">Wolof</a></li>\n",
      "<li><a href=\"//xh.wikipedia.org/\" lang=\"xh\">isiXhosa</a></li>\n",
      "<li><a href=\"//zea.wikipedia.org/\" lang=\"zea\">ZeÃªuws</a></li>\n",
      "<li><a href=\"//alt.wikipedia.org/\" lang=\"alt\">Ð°Ð»ÑÐ°Ð¹ ÑÐ¸Ð»</a></li>\n",
      "<li><a href=\"//ty.wikipedia.org/\" lang=\"ty\">Reo tahiti</a></li>\n",
      "<li><a href=\"//awa.wikipedia.org/\" lang=\"awa\">à¤à¤µà¤§à¥</a></li>\n",
      "<li><a href=\"//dty.wikipedia.org/\" lang=\"dty\">à¤¡à¥à¤à¥à¤²à¥</a></li>\n",
      "<li><a href=\"//tcy.wikipedia.org/\" lang=\"tcy\">à²¤à³à²³à³</a></li>\n",
      "</ul>\n",
      "</div>\n",
      "<h2 class=\"bookshelf-container\">\n",
      "<span class=\"bookshelf\">\n",
      "<span class=\"text\">\n",
      "<bdi dir=\"ltr\">\n",
      "100+\n",
      "</bdi>\n",
      "<span class=\"jsl10n\" data-jsl10n=\"portal.entries\">\n",
      "articles\n",
      "</span>\n",
      "</span>\n",
      "</span>\n",
      "</h2>\n",
      "<div class=\"langlist langlist-tiny hlist\" data-el-section=\"secondary links\">\n",
      "<ul>\n",
      "<li><a href=\"//bm.wikipedia.org/\" lang=\"bm\">Bamanankan</a></li>\n",
      "<li><a href=\"//bbc.wikipedia.org/\" lang=\"bbc\">Batak Toba</a></li>\n",
      "<li><a href=\"//ch.wikipedia.org/\" lang=\"ch\">Chamoru</a></li>\n",
      "<li><a href=\"//ee.wikipedia.org/\" lang=\"ee\">EÊegbe</a></li>\n",
      "<li><a href=\"//gur.wikipedia.org/\" lang=\"gur\">Farefare</a></li>\n",
      "<li><a href=\"//fon.wikipedia.org/\" lang=\"fon\">FÉÌngbÃ¨</a></li>\n",
      "<li><a href=\"//gpe.wikipedia.org/\" lang=\"gpe\">Ghanaian Pidgin</a></li>\n",
      "<li><a href=\"//got.wikipedia.org/\" lang=\"got\" title=\"Gutisk\">ð²ð¿ðð¹ððº</a></li>\n",
      "<li><a href=\"//iu.wikipedia.org/\" lang=\"iu\">áááááá¦ / Inuktitut</a></li>\n",
      "<li><a href=\"//ik.wikipedia.org/\" lang=\"ik\">IÃ±upiak</a></li>\n",
      "<li><a href=\"//kl.wikipedia.org/\" lang=\"kl\">Kalaallisut</a></li>\n",
      "<li><a href=\"//fat.wikipedia.org/\" lang=\"fat\">Mfantse</a></li>\n",
      "<li><a href=\"//pih.wikipedia.org/\" lang=\"pih\">Norfuk / Pitkern</a></li>\n",
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      "<span class=\"other-project-title jsl10n\" data-jsl10n=\"wikispecies.name\">Wikispecies</span>\n",
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      "<span class=\"other-project-title jsl10n\" data-jsl10n=\"wikifunctions.name\">Wikifunctions</span>\n",
      "<span class=\"other-project-tagline jsl10n\" data-jsl10n=\"wikifunctions.slogan\">Free function library</span>\n",
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      "</a>\n",
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      "    translationsHash = '53c2af6f',\n",
      "    /**\n",
      "     * This variable is used to convert the generic \"portal\" keyword in the data-jsl10n attributes\n",
      "     * e.g. 'data-jsl10n=\"portal.footer-description\"' into a portal-specific key, e.g. \"wiki\"\n",
      "     * for the Wikipedia portal.\n",
      "     */\n",
      "    translationsPortalKey = 'wiki';\n",
      "    /**\n",
      "     * The wm-typeahead.js feature is used for search,and it uses domain name for searching. We want domain\n",
      "     * name to be portal Specific (different for every portal).So by declaring variable 'portalSearchDomain'\n",
      "     * in index.handlebars we will make this portal Specific.\n",
      "    **/\n",
      "    portalSearchDomain = 'wikipedia.org'\n",
      "    /*\n",
      "     This object is used by l10n scripts (page-localized.js, topten-localized.js)\n",
      "     to reveal the page content after l10n json is loaded.\n",
      "     A timer is also set to prevent JS from hiding page content indefinitelty.\n",
      "     This script is inlined to safeguard againt script loading errors and placed\n",
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      "    */\n",
      "    wmL10nVisible = {\n",
      "        ready: false,\n",
      "        makeVisible: function(){\n",
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      "                document.body.className += ' jsl10n-visible';\n",
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      "    window.setTimeout( wmL10nVisible.makeVisible, 1000 )\n",
      "</script>\n",
      "<script src=\"portal/wikipedia.org/assets/js/index-76834667b7.js\"></script>\n",
      "<script src=\"portal/wikipedia.org/assets/js/gt-ie9-ce3fe8e88d.js\"></script>\n",
      "<style>\n",
      ".styled-select {\n",
      "        display: block;\n",
      "    }\n",
      "</style>\n",
      "</body>\n",
      "</html>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "\n",
    "url=\"http://www.wikipedia.org\"\n",
    "r=requests.get(url).text\n",
    "#text=r.text\n",
    "\n",
    "print(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title: Inception\n",
      "Year: 2010\n",
      "Rated: PG-13\n",
      "Released: 16 Jul 2010\n",
      "Runtime: 148 min\n",
      "Genre: Action, Adventure, Sci-Fi\n",
      "Director: Christopher Nolan\n",
      "Writer: Christopher Nolan\n",
      "Actors: Leonardo DiCaprio, Joseph Gordon-Levitt, Elliot Page\n",
      "Plot: A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into the mind of a C.E.O., but his tragic past may doom the project and his team to disaster.\n",
      "Language: English, Japanese, French\n",
      "Country: United States, United Kingdom\n",
      "Awards: Won 4 Oscars. 159 wins & 220 nominations total\n",
      "Poster: https://m.media-amazon.com/images/M/MV5BMjAxMzY3NjcxNF5BMl5BanBnXkFtZTcwNTI5OTM0Mw@@._V1_SX300.jpg\n",
      "Ratings: [{'Source': 'Internet Movie Database', 'Value': '8.8/10'}, {'Source': 'Rotten Tomatoes', 'Value': '87%'}, {'Source': 'Metacritic', 'Value': '74/100'}]\n",
      "Metascore: 74\n",
      "imdbRating: 8.8\n",
      "imdbVotes: 2,504,988\n",
      "imdbID: tt1375666\n",
      "Type: movie\n",
      "DVD: 20 Jun 2013\n",
      "BoxOffice: $292,587,330\n",
      "Production: N/A\n",
      "Website: N/A\n",
      "Response: True\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "string indices must be integers, not 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[25], line 27\u001b[0m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m k \u001b[38;5;129;01min\u001b[39;00m js\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[1;32m     25\u001b[0m     \u001b[38;5;28mprint\u001b[39m(k \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m:\u001b[39m\u001b[38;5;124m'\u001b[39m, js[k])\n\u001b[0;32m---> 27\u001b[0m js[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTitle\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYear\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRating\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m     28\u001b[0m html_doc\u001b[38;5;241m=\u001b[39mr\u001b[38;5;241m.\u001b[39mtext\n\u001b[1;32m     29\u001b[0m soup\u001b[38;5;241m=\u001b[39mBeautifulSoup(html_doc)\n",
      "\u001b[0;31mTypeError\u001b[0m: string indices must be integers, not 'str'"
     ]
    }
   ],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "import json\n",
    "import requests\n",
    "import pandas as pd\n",
    "\n",
    "movies = []\n",
    "\n",
    "# for year in range(2014, 2025):\n",
    "#     url = f'http://www.omdbapi.com/?apikey=72bc447a&y={year}'\n",
    "#     r = requests.get(url)\n",
    "#     data = r.json()\n",
    "#     if 'Search' in data:\n",
    "#         movies.extend(data['Search'])\n",
    "\n",
    "# dfm = pd.DataFrame(movies)\n",
    "\n",
    "#====================\n",
    "url = 'http://www.omdbapi.com/?apikey=72bc447a&t=inception'\n",
    "r=requests.get(url)\n",
    "#print(r.text)\n",
    "js=r.json()\n",
    "#print(js)\n",
    "\n",
    "for k in js.keys():\n",
    "    print(k + ':', js[k])\n",
    "\n",
    "js['Title']['Year']['Rating']\n",
    "html_doc=r.text\n",
    "soup=BeautifulSoup(html_doc)\n",
    "#print(soup.text)\n",
    "\n",
    "\n",
    "#print(soup.prettify())\n",
    "\n",
    "#print(soup.find_all('a'))\n",
    "# i=0\n",
    "# for link in soup.find_all('a'):\n",
    "#     print(link.get('img'))\n",
    "#     i+=1\n",
    "# print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(32275, 3)\n",
      "646\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier,RandomForestRegressor,GradientBoostingRegressor,GradientBoostingClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error,mean_absolute_error,accuracy_score,confusion_matrix,classification_report\n",
    "from sklearn.preprocessing import StandardScaler,MinMaxScaler,RobustScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.metrics import mean_squared_error as MSE\n",
    "\n",
    "X=drug[['review_length','rating','usefulCount']]\n",
    "y=drug['condition'].cat.codes\n",
    "\n",
    "\n",
    "X_train, X_test, y_train, y_test=train_test_split(X,y,test_size=0.3,random_state=42)\n",
    "gb = GradientBoostingRegressor(max_depth=4, \n",
    "            subsample=0.9,\n",
    "            max_features=0.75,\n",
    "            n_estimators=200,\n",
    "            random_state=2)\n",
    "gbc=GradientBoostingClassifier(max_depth=4, \n",
    "            subsample=0.1,\n",
    "            max_features=0.55,\n",
    "            n_estimators=20,\n",
    "            random_state=2)\n",
    "\n",
    "#X_train=X_train.values.reshape(-1,3)\n",
    "#y_train=y_train.values.reshape(-1,1)\n",
    "#X_train.reshape(-1,3)\n",
    "print(X_train.shape)\n",
    "print(y_train[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32006.614005955897\n",
      "Test set RMSE of GB regressor: 178.904\n"
     ]
    }
   ],
   "source": [
    "\n",
    "gb.fit(X_train,y_train)\n",
    "#gbc.fit(X_train,y_train)\n",
    "\n",
    "\n",
    "y_pred=gb.predict(X_test)\n",
    "#y_pred_c=gbc.predict(X_test)\n",
    "\n",
    "print(mean_squared_error(y_test,y_pred))\n",
    "#print(mean_squared_error(y_test,y_pred_c))\n",
    "\n",
    "mse_test = MSE(y_test,y_pred)\n",
    "#mse_test_c = MSE(y_test,y_pred_c)\n",
    "\n",
    "\n",
    "# Compute test set RMSE\n",
    "rmse_test = mse_test**(1/2)\n",
    "#rmse_test_c = mse_test_c**(1/2)\n",
    "\n",
    "#print(f\" the accuracy is {accuracy_score(y_test,y_pred)}\")\n",
    "#pd.Categorical(y_pred,categories=y.cat.categories)\n",
    "pd.DataFrame({'actual':y_test,'of Regresso pred':y_pred}).head(10)\n",
    "#pd.DataFrame({'actual':y_test,'of Classifer prediction ':y_pred_c}).head(10)\n",
    "\n",
    "# Print rmse_test\n",
    "print('Test set RMSE of GB regressor: {:.3f}'.format(rmse_test))\n",
    "#print('Test set RMSE of GB classifier: {:.3f}'.format(rmse_test_c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        NaN\n",
       "1        NaN\n",
       "2        NaN\n",
       "3        NaN\n",
       "4        NaN\n",
       "        ... \n",
       "13828    NaN\n",
       "13829    NaN\n",
       "13830    NaN\n",
       "13831    NaN\n",
       "13832    NaN\n",
       "Length: 13833, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_map = dict(enumerate(drug['condition'].cat.categories))\n",
    "cat_map\n",
    "# how to make a map of cateories\n",
    "# category_dict = {\n",
    "#     1: \"red\",\n",
    "#     2: \"blue\",\n",
    "#     3: \"green\",\n",
    "#     4: \"red\",\n",
    "#     5: \"blue\",\n",
    "#     6: \"green\"\n",
    "# }\n",
    "y_pred_mapped=pd.Series(y_pred).map(cat_map)\n",
    "# # use the map method to create a new column with the categories\n",
    "# df[\"category\"] = df[\"value\"].map(category_dict)\n",
    "y_pred_mapped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='rating'>"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "x=X.iloc[:30,:].copy()\n",
    "\n",
    "def dot(col):\n",
    "    return np.log(col)*np.sin(col**2)* np.sqrt(col)\n",
    "\n",
    "\n",
    "x[x['rating'].isin([6,7])]\n",
    "x.quantile([0.25,0.5,0.75])\n",
    "x.mean()\n",
    "#x[['usefulCount','rating']].agg([dot])\n",
    "#x[['usefulCount','rating']].apply(dot,axis=0)\n",
    "x.drop_duplicates(subset=['rating','usefulCount'],keep='first')\n",
    "X['rating'].value_counts(normalize=True,sort=True).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TtestResult(statistic=-322.65921557179433, pvalue=0.0, df=92214.0)\n",
      "TtestResult(statistic=-318.6354439240181, pvalue=0.0, df=46107)\n",
      "stat=0.832, p=0.000\n",
      "Probably not Gaussian\n"
     ]
    }
   ],
   "source": [
    "import scipy.stats as stats\n",
    "from scipy.stats import shapiro\n",
    "\n",
    "x=drug['usefulCount']\n",
    "y=drug['review_length']\n",
    "\n",
    "\n",
    "bp_before = [120, 122, 125, 130, 128, 130, 133, 129, 132, 120, 123]\n",
    "bp_after = [115, 118, 122, 125, 121, 123, 126, 124, 121, 119, 122]\n",
    "\n",
    "#two sample ttest\n",
    "print(stats.ttest_ind(a=x, b=y) )\n",
    "\n",
    "#paired ttest\n",
    "print(stats.ttest_rel(a=x, b=y) )\n",
    "\n",
    "\n",
    "stat, p = shapiro(x)\n",
    "print('stat=%.3f, p=%.3f' % (stat, p))\n",
    "if p > 0.05:\n",
    "    print('Probably Gaussian')\n",
    "else:\n",
    "    print('Probably not Gaussian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.48 ms ± 226 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "import timeit\n",
    "#drug.query('condition== bipolar and rating >= 5 and usefulCount==34 ').head(10)\n",
    "#drug.query(\"index<50\")\n",
    "#drug['condition']=drug['condition'].str.replace('disorde', 'disorder')\n",
    "\n",
    "#drug.melt(id_vars='condition',value_vars=['rating','usefulCount','review_length'],var_name='features',value_name='values')\n",
    "#drug.query('condition==\"bipolar disorder\"').melt(id_vars=['condition','usefulCount'],value_vars=['rating','review_length'],var_name='features',value_name='values')\n",
    "#drug[drug['condition'].str.contains('bipolar')].groupby('drugName')['review_length'].agg(['mean','std','min','max']).sort_values(by='mean',ascending=False).head(10)\n",
    "#drug[drug['condition'].str.contains('bipolar')]['condition'].value_counts()\n",
    "#drug.query('condition==\"bipolar disorde\"')['condition']\n",
    "\n",
    "drug.query('condition==\"bipolar disorder\"').groupby('drugName')['usefulCount'].agg(['mean','std','min','max']).sort_values(by='mean',ascending=False).head(10)\n",
    "#drug.query('condition==\"bipolar disorder\"')\n",
    "#drug[drug['condition'].str.contains('bipolar')]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>rating</th>\n",
       "      <th>usefulCount</th>\n",
       "      <th>review_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>7</td>\n",
       "      <td>48</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     rating  usefulCount  review_length\n",
       "17        1           27             71\n",
       "19        6           18            133\n",
       "20        7            1             88\n",
       "31        8           75             83\n",
       "78        8           16             91\n",
       "131       5            0            129\n",
       "156       9           23             75\n",
       "217      10           11             79\n",
       "334       7           48            110\n",
       "338       2           10            100"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.cluster.vq import kmeans,vq\n",
    "df=drug.query('condition==\"bipolar disorder\"').drop(['drugName','condition','review','date'],axis=1)   \n",
    "df.head(10)\n",
    "# Z=kmeans(df,3)\n",
    "# a,b=vq(df,Z)\n",
    "\n",
    "# sns.scatterplot(x='rating',y='usefulCount',data=df,hue='drugName')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>drugName</th>\n",
       "      <th>condition</th>\n",
       "      <th>review</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>46108</td>\n",
       "      <td>46108</td>\n",
       "      <td>46108</td>\n",
       "      <td>46108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2283</td>\n",
       "      <td>652</td>\n",
       "      <td>41467</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Levonorgestrel</td>\n",
       "      <td>birth control</td>\n",
       "      <td>\"i've recently got my second implant inserted....</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1224</td>\n",
       "      <td>9257</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-08-16 01:52:39.017957888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2008-02-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-09-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-07-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-12-12 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              drugName      condition  \\\n",
       "count            46108          46108   \n",
       "unique            2283            652   \n",
       "top     Levonorgestrel  birth control   \n",
       "freq              1224           9257   \n",
       "mean               NaN            NaN   \n",
       "min                NaN            NaN   \n",
       "25%                NaN            NaN   \n",
       "50%                NaN            NaN   \n",
       "75%                NaN            NaN   \n",
       "max                NaN            NaN   \n",
       "\n",
       "                                                   review  \\\n",
       "count                                               46108   \n",
       "unique                                              41467   \n",
       "top     \"i've recently got my second implant inserted....   \n",
       "freq                                                    3   \n",
       "mean                                                  NaN   \n",
       "min                                                   NaN   \n",
       "25%                                                   NaN   \n",
       "50%                                                   NaN   \n",
       "75%                                                   NaN   \n",
       "max                                                   NaN   \n",
       "\n",
       "                                 date  \n",
       "count                           46108  \n",
       "unique                            NaN  \n",
       "top                               NaN  \n",
       "freq                              NaN  \n",
       "mean    2014-08-16 01:52:39.017957888  \n",
       "min               2008-02-25 00:00:00  \n",
       "25%               2012-09-19 00:00:00  \n",
       "50%               2015-07-27 00:00:00  \n",
       "75%               2016-09-08 00:00:00  \n",
       "max               2017-12-12 00:00:00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drug.describe(exclude='number')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\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>drugName</th>\n",
       "      <th>condition</th>\n",
       "      <th>review</th>\n",
       "      <th>rating</th>\n",
       "      <th>date</th>\n",
       "      <th>usefulCount</th>\n",
       "      <th>review_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38522</th>\n",
       "      <td>Fluoxetine</td>\n",
       "      <td>obsessive compulsive disorde</td>\n",
       "      <td>\"i don’t find a lot of positive stories about ...</td>\n",
       "      <td>10</td>\n",
       "      <td>2017-05-26</td>\n",
       "      <td>-108</td>\n",
       "      <td>1162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7154</th>\n",
       "      <td>Duloxetine</td>\n",
       "      <td>depression</td>\n",
       "      <td>\"•\\t19 apr. 2016\\r\\r\\n\\r\\r\\nbegan initial dose...</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-04-22</td>\n",
       "      <td>0</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>Suboxone</td>\n",
       "      <td>opiate dependence</td>\n",
       "      <td>\"my personal experience with suboxone is good ...</td>\n",
       "      <td>9</td>\n",
       "      <td>2017-05-27</td>\n",
       "      <td>24</td>\n",
       "      <td>511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>Buprenorphine / naloxone</td>\n",
       "      <td>opiate dependence</td>\n",
       "      <td>\"my personal experience with suboxone is good ...</td>\n",
       "      <td>9</td>\n",
       "      <td>2017-05-27</td>\n",
       "      <td>24</td>\n",
       "      <td>511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39632</th>\n",
       "      <td>Magnesium citrate</td>\n",
       "      <td>constipation</td>\n",
       "      <td>\"holy  guacamole   batman it worked! but boy i...</td>\n",
       "      <td>10</td>\n",
       "      <td>2017-03-17</td>\n",
       "      <td>69</td>\n",
       "      <td>506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Polyethylene glycol 3350 with electrolytes</td>\n",
       "      <td>bowel preparation</td>\n",
       "      <td>\"my colonoscopy was booked in for late afterno...</td>\n",
       "      <td>10</td>\n",
       "      <td>2016-03-17</td>\n",
       "      <td>42</td>\n",
       "      <td>498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30366</th>\n",
       "      <td>Escitalopram</td>\n",
       "      <td>depression</td>\n",
       "      <td>\"i just started this medicine 3 days ago and i...</td>\n",
       "      <td>9</td>\n",
       "      <td>2015-08-09</td>\n",
       "      <td>107</td>\n",
       "      <td>490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26028</th>\n",
       "      <td>Sertraline</td>\n",
       "      <td>social anxiety disorde</td>\n",
       "      <td>\"i have dealt with ups and downs, anxiety, soc...</td>\n",
       "      <td>9</td>\n",
       "      <td>2017-05-15</td>\n",
       "      <td>118</td>\n",
       "      <td>447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16162</th>\n",
       "      <td>Topiramate</td>\n",
       "      <td>migraine prevention</td>\n",
       "      <td>\"i felt compelled to write a review, as i was ...</td>\n",
       "      <td>1</td>\n",
       "      <td>2015-10-31</td>\n",
       "      <td>33</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26483</th>\n",
       "      <td>Clonazepam</td>\n",
       "      <td>anxiety</td>\n",
       "      <td>\"yes, this medication works. it works very wel...</td>\n",
       "      <td>2</td>\n",
       "      <td>2016-06-11</td>\n",
       "      <td>-101</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         drugName  \\\n",
       "38522                                  Fluoxetine   \n",
       "7154                                   Duloxetine   \n",
       "2638                                     Suboxone   \n",
       "792                      Buprenorphine / naloxone   \n",
       "39632                           Magnesium citrate   \n",
       "187    Polyethylene glycol 3350 with electrolytes   \n",
       "30366                                Escitalopram   \n",
       "26028                                  Sertraline   \n",
       "16162                                  Topiramate   \n",
       "26483                                  Clonazepam   \n",
       "\n",
       "                          condition  \\\n",
       "38522  obsessive compulsive disorde   \n",
       "7154                     depression   \n",
       "2638              opiate dependence   \n",
       "792               opiate dependence   \n",
       "39632                  constipation   \n",
       "187               bowel preparation   \n",
       "30366                    depression   \n",
       "26028        social anxiety disorde   \n",
       "16162           migraine prevention   \n",
       "26483                       anxiety   \n",
       "\n",
       "                                                  review  rating       date  \\\n",
       "38522  \"i don’t find a lot of positive stories about ...      10 2017-05-26   \n",
       "7154   \"•\\t19 apr. 2016\\r\\r\\n\\r\\r\\nbegan initial dose...       1 2016-04-22   \n",
       "2638   \"my personal experience with suboxone is good ...       9 2017-05-27   \n",
       "792    \"my personal experience with suboxone is good ...       9 2017-05-27   \n",
       "39632  \"holy  guacamole   batman it worked! but boy i...      10 2017-03-17   \n",
       "187    \"my colonoscopy was booked in for late afterno...      10 2016-03-17   \n",
       "30366  \"i just started this medicine 3 days ago and i...       9 2015-08-09   \n",
       "26028  \"i have dealt with ups and downs, anxiety, soc...       9 2017-05-15   \n",
       "16162  \"i felt compelled to write a review, as i was ...       1 2015-10-31   \n",
       "26483  \"yes, this medication works. it works very wel...       2 2016-06-11   \n",
       "\n",
       "       usefulCount  review_length  \n",
       "38522         -108           1162  \n",
       "7154             0            559  \n",
       "2638            24            511  \n",
       "792             24            511  \n",
       "39632           69            506  \n",
       "187             42            498  \n",
       "30366          107            490  \n",
       "26028          118            447  \n",
       "16162           33            417  \n",
       "26483         -101            405  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot  as plt\n",
    "#drug.melt(id_vars='condition',value_vars=['rating'])\n",
    "drug['review_length'].std()\n",
    "np.var(drug['review_length'],ddof=1)\n",
    "np.std(drug['review_length'],ddof=1)\n",
    "np.quantile(drug['review_length'],np.linspace(0,1,5))\n",
    "np.mean(drug['review_length'])\n",
    "#plt.boxplot(drug['review_length'])\n",
    "long_review=drug.query(\"review_length>1000\")['review']\n",
    "#print([i for i in long_review])\n",
    "from scipy.stats import iqr\n",
    "iqr(drug['review_length'])\n",
    "tresh=np.quantile(drug['review_length'],.75)+1.5*iqr(drug['review_length'])\n",
    "tresh\n",
    "\n",
    "drug[drug['review_length']>tresh].sort_values(by='review_length',ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "151\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "sides=[]\n",
    "def total_side_effects(column):\n",
    "    names = re.split (\"(?= [a-z])\", column)\n",
    "    return names\n",
    "\n",
    "def words_process(column):\n",
    "    word_count=len(re.findall(r'\\w+', column))\n",
    "    #wv=TfidfVectorizer(column)\n",
    "    \n",
    "    return word_count\n",
    "\n",
    "\n",
    "print(words_process(drug['review'][3]))\n",
    "for side in drug['review']:\n",
    "    sides.append(re.split (\"(?= [a-z])\", side))\n",
    "    \n",
    "unique_sides = set([item for sublist in sides for item in sublist])\n",
    "#unique_sides"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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