canada_immigration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np  # useful for many scientific computing in Python\n",
    "import pandas as pd "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import xlrd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data read into a pandas dataframe!\n"
     ]
    }
   ],
   "source": [
    "df_can = pd.read_excel('https://ibm.box.com/shared/static/lw190pt9zpy5bd1ptyg2aw15awomz9pu.xlsx',\n",
    "                       sheetname='Canada by Citizenship',\n",
    "                       skiprows=range(20),\n",
    "                       skip_footer=2)\n",
    "\n",
    "print ('Data read into a pandas dataframe!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>OdName</th>\n",
       "      <th>AREA</th>\n",
       "      <th>AreaName</th>\n",
       "      <th>REG</th>\n",
       "      <th>RegName</th>\n",
       "      <th>DEV</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>...</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>935</td>\n",
       "      <td>Asia</td>\n",
       "      <td>5501</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>902</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>2978</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Albania</td>\n",
       "      <td>908</td>\n",
       "      <td>Europe</td>\n",
       "      <td>925</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>901</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1450</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>903</td>\n",
       "      <td>Africa</td>\n",
       "      <td>912</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>902</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>3616</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>909</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>957</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>902</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>...</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>4</th>\n",
       "      <td>Immigrants</td>\n",
       "      <td>Foreigners</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>908</td>\n",
       "      <td>Europe</td>\n",
       "      <td>925</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>901</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>...</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>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Type    Coverage          OdName  AREA AreaName   REG  \\\n",
       "0  Immigrants  Foreigners     Afghanistan   935     Asia  5501   \n",
       "1  Immigrants  Foreigners         Albania   908   Europe   925   \n",
       "2  Immigrants  Foreigners         Algeria   903   Africa   912   \n",
       "3  Immigrants  Foreigners  American Samoa   909  Oceania   957   \n",
       "4  Immigrants  Foreigners         Andorra   908   Europe   925   \n",
       "\n",
       "           RegName  DEV             DevName  1980  ...   2004  2005  2006  \\\n",
       "0    Southern Asia  902  Developing regions    16  ...   2978  3436  3009   \n",
       "1  Southern Europe  901   Developed regions     1  ...   1450  1223   856   \n",
       "2  Northern Africa  902  Developing regions    80  ...   3616  3626  4807   \n",
       "3        Polynesia  902  Developing regions     0  ...      0     0     1   \n",
       "4  Southern Europe  901   Developed regions     0  ...      0     0     1   \n",
       "\n",
       "   2007  2008  2009  2010  2011  2012  2013  \n",
       "0  2652  2111  1746  1758  2203  2635  2004  \n",
       "1   702   560   716   561   539   620   603  \n",
       "2  3623  4005  5393  4752  4325  3774  4331  \n",
       "3     0     0     0     0     0     0     0  \n",
       "4     1     0     0     0     0     1     1  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Type', 'Coverage', 'OdName', 'AREA', 'AreaName', 'REG', 'RegName',\n",
       "       'DEV', 'DevName', 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987,\n",
       "       1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998,\n",
       "       1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.columns.values "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,\n",
       "        26,  27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,\n",
       "        39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,\n",
       "        52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,\n",
       "        65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,\n",
       "        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,\n",
       "        91,  92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103,\n",
       "       104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,\n",
       "       117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,\n",
       "       130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,\n",
       "       143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155,\n",
       "       156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,\n",
       "       169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
       "       182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.index.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'>\n",
      "<class 'list'>\n"
     ]
    }
   ],
   "source": [
    "df_can.columns.tolist()\n",
    "df_can.index.tolist()\n",
    "\n",
    "print (type(df_can.columns.tolist()))\n",
    "print (type(df_can.index.tolist()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(195, 43)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.shape   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OdName</th>\n",
       "      <th>AreaName</th>\n",
       "      <th>RegName</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>...</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>...</td>\n",
       "      <td>2978</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>...</td>\n",
       "      <td>1450</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        OdName AreaName          RegName             DevName  1980  1981  \\\n",
       "0  Afghanistan     Asia    Southern Asia  Developing regions    16    39   \n",
       "1      Albania   Europe  Southern Europe   Developed regions     1     0   \n",
       "\n",
       "   1982  1983  1984  1985  ...   2004  2005  2006  2007  2008  2009  2010  \\\n",
       "0    39    47    71   340  ...   2978  3436  3009  2652  2111  1746  1758   \n",
       "1     0     0     0     0  ...   1450  1223   856   702   560   716   561   \n",
       "\n",
       "   2011  2012  2013  \n",
       "0  2203  2635  2004  \n",
       "1   539   620   603  \n",
       "\n",
       "[2 rows x 38 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.drop(['AREA','REG','DEV','Type','Coverage'], axis=1, inplace=True)\n",
    "df_can.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([  'Country', 'Continent',    'Region',   'DevName',        1980,\n",
       "              1981,        1982,        1983,        1984,        1985,\n",
       "              1986,        1987,        1988,        1989,        1990,\n",
       "              1991,        1992,        1993,        1994,        1995,\n",
       "              1996,        1997,        1998,        1999,        2000,\n",
       "              2001,        2002,        2003,        2004,        2005,\n",
       "              2006,        2007,        2008,        2009,        2010,\n",
       "              2011,        2012,        2013],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.rename(columns={'OdName':'Country', 'AreaName':'Continent', 'RegName':'Region'}, inplace=True)\n",
    "df_can.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_can['Total'] = df_can.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country      0\n",
       "Continent    0\n",
       "Region       0\n",
       "DevName      0\n",
       "1980         0\n",
       "1981         0\n",
       "1982         0\n",
       "1983         0\n",
       "1984         0\n",
       "1985         0\n",
       "1986         0\n",
       "1987         0\n",
       "1988         0\n",
       "1989         0\n",
       "1990         0\n",
       "1991         0\n",
       "1992         0\n",
       "1993         0\n",
       "1994         0\n",
       "1995         0\n",
       "1996         0\n",
       "1997         0\n",
       "1998         0\n",
       "1999         0\n",
       "2000         0\n",
       "2001         0\n",
       "2002         0\n",
       "2003         0\n",
       "2004         0\n",
       "2005         0\n",
       "2006         0\n",
       "2007         0\n",
       "2008         0\n",
       "2009         0\n",
       "2010         0\n",
       "2011         0\n",
       "2012         0\n",
       "2013         0\n",
       "Total        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>1987</th>\n",
       "      <th>1988</th>\n",
       "      <th>1989</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>508.394872</td>\n",
       "      <td>566.989744</td>\n",
       "      <td>534.723077</td>\n",
       "      <td>387.435897</td>\n",
       "      <td>376.497436</td>\n",
       "      <td>358.861538</td>\n",
       "      <td>441.271795</td>\n",
       "      <td>691.133333</td>\n",
       "      <td>714.389744</td>\n",
       "      <td>843.241026</td>\n",
       "      <td>...</td>\n",
       "      <td>1320.292308</td>\n",
       "      <td>1266.958974</td>\n",
       "      <td>1191.820513</td>\n",
       "      <td>1246.394872</td>\n",
       "      <td>1275.733333</td>\n",
       "      <td>1420.287179</td>\n",
       "      <td>1262.533333</td>\n",
       "      <td>1313.958974</td>\n",
       "      <td>1320.702564</td>\n",
       "      <td>32867.451282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1949.588546</td>\n",
       "      <td>2152.643752</td>\n",
       "      <td>1866.997511</td>\n",
       "      <td>1204.333597</td>\n",
       "      <td>1198.246371</td>\n",
       "      <td>1079.309600</td>\n",
       "      <td>1225.576630</td>\n",
       "      <td>2109.205607</td>\n",
       "      <td>2443.606788</td>\n",
       "      <td>2555.048874</td>\n",
       "      <td>...</td>\n",
       "      <td>4425.957828</td>\n",
       "      <td>3926.717747</td>\n",
       "      <td>3443.542409</td>\n",
       "      <td>3694.573544</td>\n",
       "      <td>3829.630424</td>\n",
       "      <td>4462.946328</td>\n",
       "      <td>4030.084313</td>\n",
       "      <td>4247.555161</td>\n",
       "      <td>4237.951988</td>\n",
       "      <td>91785.498686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\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>0.000000</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>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\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>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>28.500000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>40.500000</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>42.500000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>952.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>13.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>210.000000</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>198.000000</td>\n",
       "      <td>205.000000</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>233.000000</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>5018.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>251.500000</td>\n",
       "      <td>295.500000</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>181.000000</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>254.000000</td>\n",
       "      <td>434.000000</td>\n",
       "      <td>409.000000</td>\n",
       "      <td>508.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>832.000000</td>\n",
       "      <td>842.000000</td>\n",
       "      <td>899.000000</td>\n",
       "      <td>934.500000</td>\n",
       "      <td>888.000000</td>\n",
       "      <td>932.000000</td>\n",
       "      <td>772.000000</td>\n",
       "      <td>783.000000</td>\n",
       "      <td>796.000000</td>\n",
       "      <td>22239.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>22045.000000</td>\n",
       "      <td>24796.000000</td>\n",
       "      <td>20620.000000</td>\n",
       "      <td>10015.000000</td>\n",
       "      <td>10170.000000</td>\n",
       "      <td>9564.000000</td>\n",
       "      <td>9470.000000</td>\n",
       "      <td>21337.000000</td>\n",
       "      <td>27359.000000</td>\n",
       "      <td>23795.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>42584.000000</td>\n",
       "      <td>33848.000000</td>\n",
       "      <td>28742.000000</td>\n",
       "      <td>30037.000000</td>\n",
       "      <td>29622.000000</td>\n",
       "      <td>38617.000000</td>\n",
       "      <td>36765.000000</td>\n",
       "      <td>34315.000000</td>\n",
       "      <td>34129.000000</td>\n",
       "      <td>691904.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               1980          1981          1982          1983          1984  \\\n",
       "count    195.000000    195.000000    195.000000    195.000000    195.000000   \n",
       "mean     508.394872    566.989744    534.723077    387.435897    376.497436   \n",
       "std     1949.588546   2152.643752   1866.997511   1204.333597   1198.246371   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%       13.000000     10.000000     11.000000     12.000000     13.000000   \n",
       "75%      251.500000    295.500000    275.000000    173.000000    181.000000   \n",
       "max    22045.000000  24796.000000  20620.000000  10015.000000  10170.000000   \n",
       "\n",
       "              1985         1986          1987          1988          1989  \\\n",
       "count   195.000000   195.000000    195.000000    195.000000    195.000000   \n",
       "mean    358.861538   441.271795    691.133333    714.389744    843.241026   \n",
       "std    1079.309600  1225.576630   2109.205607   2443.606788   2555.048874   \n",
       "min       0.000000     0.000000      0.000000      0.000000      0.000000   \n",
       "25%       0.000000     0.500000      0.500000      1.000000      1.000000   \n",
       "50%      17.000000    18.000000     26.000000     34.000000     44.000000   \n",
       "75%     197.000000   254.000000    434.000000    409.000000    508.500000   \n",
       "max    9564.000000  9470.000000  21337.000000  27359.000000  23795.000000   \n",
       "\n",
       "           ...                2005          2006          2007          2008  \\\n",
       "count      ...          195.000000    195.000000    195.000000    195.000000   \n",
       "mean       ...         1320.292308   1266.958974   1191.820513   1246.394872   \n",
       "std        ...         4425.957828   3926.717747   3443.542409   3694.573544   \n",
       "min        ...            0.000000      0.000000      0.000000      0.000000   \n",
       "25%        ...           28.500000     25.000000     31.000000     31.000000   \n",
       "50%        ...          210.000000    218.000000    198.000000    205.000000   \n",
       "75%        ...          832.000000    842.000000    899.000000    934.500000   \n",
       "max        ...        42584.000000  33848.000000  28742.000000  30037.000000   \n",
       "\n",
       "               2009          2010          2011          2012          2013  \\\n",
       "count    195.000000    195.000000    195.000000    195.000000    195.000000   \n",
       "mean    1275.733333   1420.287179   1262.533333   1313.958974   1320.702564   \n",
       "std     3829.630424   4462.946328   4030.084313   4247.555161   4237.951988   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%       36.000000     40.500000     37.500000     42.500000     45.000000   \n",
       "50%      214.000000    211.000000    179.000000    233.000000    213.000000   \n",
       "75%      888.000000    932.000000    772.000000    783.000000    796.000000   \n",
       "max    29622.000000  38617.000000  36765.000000  34315.000000  34129.000000   \n",
       "\n",
       "               Total  \n",
       "count     195.000000  \n",
       "mean    32867.451282  \n",
       "std     91785.498686  \n",
       "min         1.000000  \n",
       "25%       952.000000  \n",
       "50%      5018.000000  \n",
       "75%     22239.500000  \n",
       "max    691904.000000  \n",
       "\n",
       "[8 rows x 35 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</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>...</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>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>...</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>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country Continent           Region             DevName  1980  1981  \\\n",
       "0     Afghanistan      Asia    Southern Asia  Developing regions    16    39   \n",
       "1         Albania    Europe  Southern Europe   Developed regions     1     0   \n",
       "2         Algeria    Africa  Northern Africa  Developing regions    80    67   \n",
       "3  American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "4         Andorra    Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "   1982  1983  1984  1985  ...    2005  2006  2007  2008  2009  2010  2011  \\\n",
       "0    39    47    71   340  ...    3436  3009  2652  2111  1746  1758  2203   \n",
       "1     0     0     0     0  ...    1223   856   702   560   716   561   539   \n",
       "2    71    69    63    44  ...    3626  4807  3623  4005  5393  4752  4325   \n",
       "3     0     0     0     0  ...       0     1     0     0     0     0     0   \n",
       "4     0     0     0     0  ...       0     1     1     0     0     0     0   \n",
       "\n",
       "   2012  2013  Total  \n",
       "0  2635  2004  58639  \n",
       "1   620   603  15699  \n",
       "2  3774  4331  69439  \n",
       "3     0     0      6  \n",
       "4     1     1     15  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</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",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</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>5</th>\n",
       "      <td>Angola</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>368</td>\n",
       "      <td>426</td>\n",
       "      <td>626</td>\n",
       "      <td>241</td>\n",
       "      <td>237</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Armenia</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>Australia</td>\n",
       "      <td>702</td>\n",
       "      <td>639</td>\n",
       "      <td>484</td>\n",
       "      <td>317</td>\n",
       "      <td>317</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Austria</td>\n",
       "      <td>234</td>\n",
       "      <td>238</td>\n",
       "      <td>201</td>\n",
       "      <td>117</td>\n",
       "      <td>127</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Azerbaijan</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>12</th>\n",
       "      <td>Bahamas</td>\n",
       "      <td>26</td>\n",
       "      <td>23</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>83</td>\n",
       "      <td>84</td>\n",
       "      <td>86</td>\n",
       "      <td>81</td>\n",
       "      <td>98</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>372</td>\n",
       "      <td>376</td>\n",
       "      <td>299</td>\n",
       "      <td>244</td>\n",
       "      <td>265</td>\n",
       "      <td>285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Belarus</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>17</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>511</td>\n",
       "      <td>540</td>\n",
       "      <td>519</td>\n",
       "      <td>297</td>\n",
       "      <td>183</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Belize</td>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>21</td>\n",
       "      <td>37</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Benin</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bhutan</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Bolivia (Plurinational State of)</td>\n",
       "      <td>44</td>\n",
       "      <td>52</td>\n",
       "      <td>42</td>\n",
       "      <td>49</td>\n",
       "      <td>38</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bosnia and Herzegovina</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>23</th>\n",
       "      <td>Botswana</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>211</td>\n",
       "      <td>220</td>\n",
       "      <td>192</td>\n",
       "      <td>139</td>\n",
       "      <td>145</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>79</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>24</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>33</td>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Cabo Verde</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Suriname</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Swaziland</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>281</td>\n",
       "      <td>308</td>\n",
       "      <td>222</td>\n",
       "      <td>176</td>\n",
       "      <td>128</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>806</td>\n",
       "      <td>811</td>\n",
       "      <td>634</td>\n",
       "      <td>370</td>\n",
       "      <td>326</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Syrian Arab Republic</td>\n",
       "      <td>315</td>\n",
       "      <td>419</td>\n",
       "      <td>409</td>\n",
       "      <td>269</td>\n",
       "      <td>264</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>Tajikistan</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>171</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>56</td>\n",
       "      <td>53</td>\n",
       "      <td>113</td>\n",
       "      <td>65</td>\n",
       "      <td>82</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>The former Yugoslav Republic of Macedonia</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>173</th>\n",
       "      <td>Togo</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>Tonga</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>958</td>\n",
       "      <td>947</td>\n",
       "      <td>972</td>\n",
       "      <td>766</td>\n",
       "      <td>606</td>\n",
       "      <td>699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>58</td>\n",
       "      <td>51</td>\n",
       "      <td>55</td>\n",
       "      <td>46</td>\n",
       "      <td>51</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>481</td>\n",
       "      <td>874</td>\n",
       "      <td>706</td>\n",
       "      <td>280</td>\n",
       "      <td>338</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Turkmenistan</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>179</th>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Ukraine</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>182</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>United Kingdom of Great Britain and Northern I...</td>\n",
       "      <td>22045</td>\n",
       "      <td>24796</td>\n",
       "      <td>20620</td>\n",
       "      <td>10015</td>\n",
       "      <td>10170</td>\n",
       "      <td>9564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>United Republic of Tanzania</td>\n",
       "      <td>635</td>\n",
       "      <td>832</td>\n",
       "      <td>621</td>\n",
       "      <td>474</td>\n",
       "      <td>473</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>United States of America</td>\n",
       "      <td>9378</td>\n",
       "      <td>10030</td>\n",
       "      <td>9074</td>\n",
       "      <td>7100</td>\n",
       "      <td>6661</td>\n",
       "      <td>6543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>128</td>\n",
       "      <td>132</td>\n",
       "      <td>146</td>\n",
       "      <td>105</td>\n",
       "      <td>90</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Uzbekistan</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>188</th>\n",
       "      <td>Vanuatu</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>189</th>\n",
       "      <td>Venezuela (Bolivarian Republic of)</td>\n",
       "      <td>103</td>\n",
       "      <td>117</td>\n",
       "      <td>174</td>\n",
       "      <td>124</td>\n",
       "      <td>142</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Viet Nam</td>\n",
       "      <td>1191</td>\n",
       "      <td>1829</td>\n",
       "      <td>2162</td>\n",
       "      <td>3404</td>\n",
       "      <td>7583</td>\n",
       "      <td>5907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Western Sahara</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>192</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>72</td>\n",
       "      <td>114</td>\n",
       "      <td>102</td>\n",
       "      <td>44</td>\n",
       "      <td>32</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Country   1980   1981   1982  \\\n",
       "0                                          Afghanistan     16     39     39   \n",
       "1                                              Albania      1      0      0   \n",
       "2                                              Algeria     80     67     71   \n",
       "3                                       American Samoa      0      1      0   \n",
       "4                                              Andorra      0      0      0   \n",
       "5                                               Angola      1      3      6   \n",
       "6                                  Antigua and Barbuda      0      0      0   \n",
       "7                                            Argentina    368    426    626   \n",
       "8                                              Armenia      0      0      0   \n",
       "9                                            Australia    702    639    484   \n",
       "10                                             Austria    234    238    201   \n",
       "11                                          Azerbaijan      0      0      0   \n",
       "12                                             Bahamas     26     23     38   \n",
       "13                                             Bahrain      0      2      1   \n",
       "14                                          Bangladesh     83     84     86   \n",
       "15                                            Barbados    372    376    299   \n",
       "16                                             Belarus      0      0      0   \n",
       "17                                             Belgium    511    540    519   \n",
       "18                                              Belize     16     27     13   \n",
       "19                                               Benin      2      5      4   \n",
       "20                                              Bhutan      0      0      0   \n",
       "21                    Bolivia (Plurinational State of)     44     52     42   \n",
       "22                              Bosnia and Herzegovina      0      0      0   \n",
       "23                                            Botswana     10      1      3   \n",
       "24                                              Brazil    211    220    192   \n",
       "25                                   Brunei Darussalam     79      6      8   \n",
       "26                                            Bulgaria     24     20     12   \n",
       "27                                        Burkina Faso      2      1      3   \n",
       "28                                             Burundi      0      0      0   \n",
       "29                                          Cabo Verde      1      1      2   \n",
       "..                                                 ...    ...    ...    ...   \n",
       "165                                           Suriname     15     10     21   \n",
       "166                                          Swaziland      4      1      1   \n",
       "167                                             Sweden    281    308    222   \n",
       "168                                        Switzerland    806    811    634   \n",
       "169                               Syrian Arab Republic    315    419    409   \n",
       "170                                         Tajikistan      0      0      0   \n",
       "171                                           Thailand     56     53    113   \n",
       "172          The former Yugoslav Republic of Macedonia      0      0      0   \n",
       "173                                               Togo      5      5      2   \n",
       "174                                              Tonga      2      4      7   \n",
       "175                                Trinidad and Tobago    958    947    972   \n",
       "176                                            Tunisia     58     51     55   \n",
       "177                                             Turkey    481    874    706   \n",
       "178                                       Turkmenistan      0      0      0   \n",
       "179                                             Tuvalu      0      1      0   \n",
       "180                                             Uganda     13     16     17   \n",
       "181                                            Ukraine      0      0      0   \n",
       "182                               United Arab Emirates      0      2      2   \n",
       "183  United Kingdom of Great Britain and Northern I...  22045  24796  20620   \n",
       "184                        United Republic of Tanzania    635    832    621   \n",
       "185                           United States of America   9378  10030   9074   \n",
       "186                                            Uruguay    128    132    146   \n",
       "187                                         Uzbekistan      0      0      0   \n",
       "188                                            Vanuatu      0      0      0   \n",
       "189                 Venezuela (Bolivarian Republic of)    103    117    174   \n",
       "190                                           Viet Nam   1191   1829   2162   \n",
       "191                                     Western Sahara      0      0      0   \n",
       "192                                              Yemen      1      2      1   \n",
       "193                                             Zambia     11     17     11   \n",
       "194                                           Zimbabwe     72    114    102   \n",
       "\n",
       "      1983   1984  1985  \n",
       "0       47     71   340  \n",
       "1        0      0     0  \n",
       "2       69     63    44  \n",
       "3        0      0     0  \n",
       "4        0      0     0  \n",
       "5        6      4     3  \n",
       "6        0     42    52  \n",
       "7      241    237   196  \n",
       "8        0      0     0  \n",
       "9      317    317   319  \n",
       "10     117    127   165  \n",
       "11       0      0     0  \n",
       "12      12     21    28  \n",
       "13       1      1     3  \n",
       "14      81     98    92  \n",
       "15     244    265   285  \n",
       "16       0      0     0  \n",
       "17     297    183   181  \n",
       "18      21     37    26  \n",
       "19       3      4     3  \n",
       "20       0      1     0  \n",
       "21      49     38    44  \n",
       "22       0      0     0  \n",
       "23       3      7     4  \n",
       "24     139    145   130  \n",
       "25       2      2     4  \n",
       "26      33     11    24  \n",
       "27       2      3     2  \n",
       "28       0      1     2  \n",
       "29       0     11     1  \n",
       "..     ...    ...   ...  \n",
       "165     12      5    16  \n",
       "166      0     10     7  \n",
       "167    176    128   158  \n",
       "168    370    326   314  \n",
       "169    269    264   385  \n",
       "170      0      0     0  \n",
       "171     65     82    66  \n",
       "172      0      0     0  \n",
       "173      3      6     5  \n",
       "174      1      2     5  \n",
       "175    766    606   699  \n",
       "176     46     51    57  \n",
       "177    280    338   202  \n",
       "178      0      0     0  \n",
       "179      0      1     0  \n",
       "180     38     32    29  \n",
       "181      0      0     0  \n",
       "182      1      2     0  \n",
       "183  10015  10170  9564  \n",
       "184    474    473   460  \n",
       "185   7100   6661  6543  \n",
       "186    105     90    92  \n",
       "187      0      0     0  \n",
       "188      0      0     0  \n",
       "189    124    142   165  \n",
       "190   3404   7583  5907  \n",
       "191      0      0     0  \n",
       "192      6      0    18  \n",
       "193      7     16     9  \n",
       "194     44     32    29  \n",
       "\n",
       "[195 rows x 7 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can[['Country', 1980, 1981, 1982, 1983, 1984, 1985]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_can.set_index('Country', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</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>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</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>...</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>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>2</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Continent           Region             DevName  1980  1981  \\\n",
       "Country                                                                     \n",
       "Afghanistan         Asia    Southern Asia  Developing regions    16    39   \n",
       "Albania           Europe  Southern Europe   Developed regions     1     0   \n",
       "Algeria           Africa  Northern Africa  Developing regions    80    67   \n",
       "American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "Andorra           Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "                1982  1983  1984  1985  1986  ...    2005  2006  2007  2008  \\\n",
       "Country                                       ...                             \n",
       "Afghanistan       39    47    71   340   496  ...    3436  3009  2652  2111   \n",
       "Albania            0     0     0     0     1  ...    1223   856   702   560   \n",
       "Algeria           71    69    63    44    69  ...    3626  4807  3623  4005   \n",
       "American Samoa     0     0     0     0     0  ...       0     1     0     0   \n",
       "Andorra            0     0     0     0     2  ...       0     1     1     0   \n",
       "\n",
       "                2009  2010  2011  2012  2013  Total  \n",
       "Country                                              \n",
       "Afghanistan     1746  1758  2203  2635  2004  58639  \n",
       "Albania          716   561   539   620   603  15699  \n",
       "Algeria         5393  4752  4325  3774  4331  69439  \n",
       "American Samoa     0     0     0     0     0      6  \n",
       "Andorra            0     0     0     1     1     15  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_can.index.name = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</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>...</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>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>2</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Continent           Region             DevName  1980  1981  \\\n",
       "Afghanistan         Asia    Southern Asia  Developing regions    16    39   \n",
       "Albania           Europe  Southern Europe   Developed regions     1     0   \n",
       "Algeria           Africa  Northern Africa  Developing regions    80    67   \n",
       "American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "Andorra           Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "                1982  1983  1984  1985  1986  ...    2005  2006  2007  2008  \\\n",
       "Afghanistan       39    47    71   340   496  ...    3436  3009  2652  2111   \n",
       "Albania            0     0     0     0     1  ...    1223   856   702   560   \n",
       "Algeria           71    69    63    44    69  ...    3626  4807  3623  4005   \n",
       "American Samoa     0     0     0     0     0  ...       0     1     0     0   \n",
       "Andorra            0     0     0     0     2  ...       0     1     1     0   \n",
       "\n",
       "                2009  2010  2011  2012  2013  Total  \n",
       "Afghanistan     1746  1758  2203  2635  2004  58639  \n",
       "Albania          716   561   539   620   603  15699  \n",
       "Algeria         5393  4752  4325  3774  4331  69439  \n",
       "American Samoa     0     0     0     0     0      6  \n",
       "Andorra            0     0     0     1     1     15  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "561"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.loc['Albania', 2010]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_can.columns = list(map(str, df_can.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<generator object <genexpr> at 0x7f477e9db7d8>\n"
     ]
    }
   ],
   "source": [
    "print( (type(x)) for x in df_can.columns.values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "years = list(map(str, range(1980, 2014)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Afghanistan                                              True\n",
      "Albania                                                 False\n",
      "Algeria                                                 False\n",
      "American Samoa                                          False\n",
      "Andorra                                                 False\n",
      "Angola                                                  False\n",
      "Antigua and Barbuda                                     False\n",
      "Argentina                                               False\n",
      "Armenia                                                  True\n",
      "Australia                                               False\n",
      "Austria                                                 False\n",
      "Azerbaijan                                               True\n",
      "Bahamas                                                 False\n",
      "Bahrain                                                  True\n",
      "Bangladesh                                               True\n",
      "Barbados                                                False\n",
      "Belarus                                                 False\n",
      "Belgium                                                 False\n",
      "Belize                                                  False\n",
      "Benin                                                   False\n",
      "Bhutan                                                   True\n",
      "Bolivia (Plurinational State of)                        False\n",
      "Bosnia and Herzegovina                                  False\n",
      "Botswana                                                False\n",
      "Brazil                                                  False\n",
      "Brunei Darussalam                                        True\n",
      "Bulgaria                                                False\n",
      "Burkina Faso                                            False\n",
      "Burundi                                                 False\n",
      "Cabo Verde                                              False\n",
      "                                                        ...  \n",
      "Suriname                                                False\n",
      "Swaziland                                               False\n",
      "Sweden                                                  False\n",
      "Switzerland                                             False\n",
      "Syrian Arab Republic                                     True\n",
      "Tajikistan                                               True\n",
      "Thailand                                                 True\n",
      "The former Yugoslav Republic of Macedonia               False\n",
      "Togo                                                    False\n",
      "Tonga                                                   False\n",
      "Trinidad and Tobago                                     False\n",
      "Tunisia                                                 False\n",
      "Turkey                                                   True\n",
      "Turkmenistan                                             True\n",
      "Tuvalu                                                  False\n",
      "Uganda                                                  False\n",
      "Ukraine                                                 False\n",
      "United Arab Emirates                                     True\n",
      "United Kingdom of Great Britain and Northern Ireland    False\n",
      "United Republic of Tanzania                             False\n",
      "United States of America                                False\n",
      "Uruguay                                                 False\n",
      "Uzbekistan                                               True\n",
      "Vanuatu                                                 False\n",
      "Venezuela (Bolivarian Republic of)                      False\n",
      "Viet Nam                                                 True\n",
      "Western Sahara                                          False\n",
      "Yemen                                                    True\n",
      "Zambia                                                  False\n",
      "Zimbabwe                                                False\n",
      "Name: Continent, dtype: bool\n"
     ]
    }
   ],
   "source": [
    "condition = df_can['Continent']=='Asia'\n",
    "print (condition)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>224</td>\n",
       "      <td>218</td>\n",
       "      <td>198</td>\n",
       "      <td>205</td>\n",
       "      <td>267</td>\n",
       "      <td>252</td>\n",
       "      <td>236</td>\n",
       "      <td>258</td>\n",
       "      <td>207</td>\n",
       "      <td>3310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>359</td>\n",
       "      <td>236</td>\n",
       "      <td>203</td>\n",
       "      <td>125</td>\n",
       "      <td>165</td>\n",
       "      <td>209</td>\n",
       "      <td>138</td>\n",
       "      <td>161</td>\n",
       "      <td>57</td>\n",
       "      <td>2649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "      <td>35</td>\n",
       "      <td>28</td>\n",
       "      <td>21</td>\n",
       "      <td>39</td>\n",
       "      <td>32</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladesh</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>83</td>\n",
       "      <td>84</td>\n",
       "      <td>86</td>\n",
       "      <td>81</td>\n",
       "      <td>98</td>\n",
       "      <td>92</td>\n",
       "      <td>486</td>\n",
       "      <td>...</td>\n",
       "      <td>4171</td>\n",
       "      <td>4014</td>\n",
       "      <td>2897</td>\n",
       "      <td>2939</td>\n",
       "      <td>2104</td>\n",
       "      <td>4721</td>\n",
       "      <td>2694</td>\n",
       "      <td>2640</td>\n",
       "      <td>3789</td>\n",
       "      <td>65568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bhutan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>36</td>\n",
       "      <td>865</td>\n",
       "      <td>1464</td>\n",
       "      <td>1879</td>\n",
       "      <td>1075</td>\n",
       "      <td>487</td>\n",
       "      <td>5876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brunei Darussalam</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>79</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cambodia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>26</td>\n",
       "      <td>33</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>370</td>\n",
       "      <td>529</td>\n",
       "      <td>460</td>\n",
       "      <td>354</td>\n",
       "      <td>203</td>\n",
       "      <td>200</td>\n",
       "      <td>196</td>\n",
       "      <td>233</td>\n",
       "      <td>288</td>\n",
       "      <td>6538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>5123</td>\n",
       "      <td>6682</td>\n",
       "      <td>3308</td>\n",
       "      <td>1863</td>\n",
       "      <td>1527</td>\n",
       "      <td>1816</td>\n",
       "      <td>1960</td>\n",
       "      <td>...</td>\n",
       "      <td>42584</td>\n",
       "      <td>33518</td>\n",
       "      <td>27642</td>\n",
       "      <td>30037</td>\n",
       "      <td>29622</td>\n",
       "      <td>30391</td>\n",
       "      <td>28502</td>\n",
       "      <td>33024</td>\n",
       "      <td>34129</td>\n",
       "      <td>659962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China, Hong Kong Special Administrative Region</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>729</td>\n",
       "      <td>712</td>\n",
       "      <td>674</td>\n",
       "      <td>897</td>\n",
       "      <td>657</td>\n",
       "      <td>623</td>\n",
       "      <td>591</td>\n",
       "      <td>728</td>\n",
       "      <td>774</td>\n",
       "      <td>9327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China, Macao Special Administrative Region</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>21</td>\n",
       "      <td>32</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>29</td>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyprus</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>132</td>\n",
       "      <td>128</td>\n",
       "      <td>84</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>43</td>\n",
       "      <td>48</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>1126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Democratic People's Republic of Korea</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>45</td>\n",
       "      <td>97</td>\n",
       "      <td>66</td>\n",
       "      <td>17</td>\n",
       "      <td>388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>114</td>\n",
       "      <td>125</td>\n",
       "      <td>132</td>\n",
       "      <td>112</td>\n",
       "      <td>128</td>\n",
       "      <td>126</td>\n",
       "      <td>139</td>\n",
       "      <td>147</td>\n",
       "      <td>125</td>\n",
       "      <td>2068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>8880</td>\n",
       "      <td>8670</td>\n",
       "      <td>8147</td>\n",
       "      <td>7338</td>\n",
       "      <td>5704</td>\n",
       "      <td>4211</td>\n",
       "      <td>7150</td>\n",
       "      <td>...</td>\n",
       "      <td>36210</td>\n",
       "      <td>33848</td>\n",
       "      <td>28742</td>\n",
       "      <td>28261</td>\n",
       "      <td>29456</td>\n",
       "      <td>34235</td>\n",
       "      <td>27509</td>\n",
       "      <td>30933</td>\n",
       "      <td>33087</td>\n",
       "      <td>691904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>186</td>\n",
       "      <td>178</td>\n",
       "      <td>252</td>\n",
       "      <td>115</td>\n",
       "      <td>123</td>\n",
       "      <td>100</td>\n",
       "      <td>127</td>\n",
       "      <td>...</td>\n",
       "      <td>632</td>\n",
       "      <td>613</td>\n",
       "      <td>657</td>\n",
       "      <td>661</td>\n",
       "      <td>504</td>\n",
       "      <td>712</td>\n",
       "      <td>390</td>\n",
       "      <td>395</td>\n",
       "      <td>387</td>\n",
       "      <td>13150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iran (Islamic Republic of)</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1172</td>\n",
       "      <td>1429</td>\n",
       "      <td>1822</td>\n",
       "      <td>1592</td>\n",
       "      <td>1977</td>\n",
       "      <td>1648</td>\n",
       "      <td>1794</td>\n",
       "      <td>...</td>\n",
       "      <td>5837</td>\n",
       "      <td>7480</td>\n",
       "      <td>6974</td>\n",
       "      <td>6475</td>\n",
       "      <td>6580</td>\n",
       "      <td>7477</td>\n",
       "      <td>7479</td>\n",
       "      <td>7534</td>\n",
       "      <td>11291</td>\n",
       "      <td>175923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iraq</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>262</td>\n",
       "      <td>245</td>\n",
       "      <td>260</td>\n",
       "      <td>380</td>\n",
       "      <td>428</td>\n",
       "      <td>231</td>\n",
       "      <td>265</td>\n",
       "      <td>...</td>\n",
       "      <td>2226</td>\n",
       "      <td>1788</td>\n",
       "      <td>2406</td>\n",
       "      <td>3543</td>\n",
       "      <td>5450</td>\n",
       "      <td>5941</td>\n",
       "      <td>6196</td>\n",
       "      <td>4041</td>\n",
       "      <td>4918</td>\n",
       "      <td>69789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Israel</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1403</td>\n",
       "      <td>1711</td>\n",
       "      <td>1334</td>\n",
       "      <td>541</td>\n",
       "      <td>446</td>\n",
       "      <td>680</td>\n",
       "      <td>1212</td>\n",
       "      <td>...</td>\n",
       "      <td>2446</td>\n",
       "      <td>2625</td>\n",
       "      <td>2401</td>\n",
       "      <td>2562</td>\n",
       "      <td>2316</td>\n",
       "      <td>2755</td>\n",
       "      <td>1970</td>\n",
       "      <td>2134</td>\n",
       "      <td>1945</td>\n",
       "      <td>66508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>701</td>\n",
       "      <td>756</td>\n",
       "      <td>598</td>\n",
       "      <td>309</td>\n",
       "      <td>246</td>\n",
       "      <td>198</td>\n",
       "      <td>248</td>\n",
       "      <td>...</td>\n",
       "      <td>1067</td>\n",
       "      <td>1212</td>\n",
       "      <td>1250</td>\n",
       "      <td>1284</td>\n",
       "      <td>1194</td>\n",
       "      <td>1168</td>\n",
       "      <td>1265</td>\n",
       "      <td>1214</td>\n",
       "      <td>982</td>\n",
       "      <td>27707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jordan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>177</td>\n",
       "      <td>160</td>\n",
       "      <td>155</td>\n",
       "      <td>113</td>\n",
       "      <td>102</td>\n",
       "      <td>179</td>\n",
       "      <td>181</td>\n",
       "      <td>...</td>\n",
       "      <td>1940</td>\n",
       "      <td>1827</td>\n",
       "      <td>1421</td>\n",
       "      <td>1581</td>\n",
       "      <td>1235</td>\n",
       "      <td>1831</td>\n",
       "      <td>1635</td>\n",
       "      <td>1206</td>\n",
       "      <td>1255</td>\n",
       "      <td>35406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kazakhstan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Central Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>506</td>\n",
       "      <td>408</td>\n",
       "      <td>436</td>\n",
       "      <td>394</td>\n",
       "      <td>431</td>\n",
       "      <td>377</td>\n",
       "      <td>381</td>\n",
       "      <td>462</td>\n",
       "      <td>348</td>\n",
       "      <td>8490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kuwait</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>66</td>\n",
       "      <td>35</td>\n",
       "      <td>62</td>\n",
       "      <td>53</td>\n",
       "      <td>68</td>\n",
       "      <td>67</td>\n",
       "      <td>58</td>\n",
       "      <td>73</td>\n",
       "      <td>48</td>\n",
       "      <td>2025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kyrgyzstan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Central Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>173</td>\n",
       "      <td>161</td>\n",
       "      <td>135</td>\n",
       "      <td>168</td>\n",
       "      <td>173</td>\n",
       "      <td>157</td>\n",
       "      <td>159</td>\n",
       "      <td>278</td>\n",
       "      <td>123</td>\n",
       "      <td>2353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lao People's Democratic Republic</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>42</td>\n",
       "      <td>74</td>\n",
       "      <td>53</td>\n",
       "      <td>32</td>\n",
       "      <td>39</td>\n",
       "      <td>54</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>15</td>\n",
       "      <td>1089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lebanon</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1409</td>\n",
       "      <td>1119</td>\n",
       "      <td>1159</td>\n",
       "      <td>789</td>\n",
       "      <td>1253</td>\n",
       "      <td>1683</td>\n",
       "      <td>2576</td>\n",
       "      <td>...</td>\n",
       "      <td>3709</td>\n",
       "      <td>3802</td>\n",
       "      <td>3467</td>\n",
       "      <td>3566</td>\n",
       "      <td>3077</td>\n",
       "      <td>3432</td>\n",
       "      <td>3072</td>\n",
       "      <td>1614</td>\n",
       "      <td>2172</td>\n",
       "      <td>115359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>786</td>\n",
       "      <td>816</td>\n",
       "      <td>813</td>\n",
       "      <td>448</td>\n",
       "      <td>384</td>\n",
       "      <td>374</td>\n",
       "      <td>425</td>\n",
       "      <td>...</td>\n",
       "      <td>593</td>\n",
       "      <td>580</td>\n",
       "      <td>600</td>\n",
       "      <td>658</td>\n",
       "      <td>640</td>\n",
       "      <td>802</td>\n",
       "      <td>409</td>\n",
       "      <td>358</td>\n",
       "      <td>204</td>\n",
       "      <td>24417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maldives</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mongolia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>59</td>\n",
       "      <td>64</td>\n",
       "      <td>82</td>\n",
       "      <td>59</td>\n",
       "      <td>118</td>\n",
       "      <td>169</td>\n",
       "      <td>103</td>\n",
       "      <td>68</td>\n",
       "      <td>99</td>\n",
       "      <td>952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Myanmar</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>62</td>\n",
       "      <td>46</td>\n",
       "      <td>31</td>\n",
       "      <td>41</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>210</td>\n",
       "      <td>953</td>\n",
       "      <td>1887</td>\n",
       "      <td>975</td>\n",
       "      <td>1153</td>\n",
       "      <td>556</td>\n",
       "      <td>368</td>\n",
       "      <td>193</td>\n",
       "      <td>262</td>\n",
       "      <td>9245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nepal</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>607</td>\n",
       "      <td>540</td>\n",
       "      <td>511</td>\n",
       "      <td>581</td>\n",
       "      <td>561</td>\n",
       "      <td>1392</td>\n",
       "      <td>1129</td>\n",
       "      <td>1185</td>\n",
       "      <td>1308</td>\n",
       "      <td>10222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oman</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>978</td>\n",
       "      <td>972</td>\n",
       "      <td>1201</td>\n",
       "      <td>900</td>\n",
       "      <td>668</td>\n",
       "      <td>514</td>\n",
       "      <td>691</td>\n",
       "      <td>...</td>\n",
       "      <td>14314</td>\n",
       "      <td>13127</td>\n",
       "      <td>10124</td>\n",
       "      <td>8994</td>\n",
       "      <td>7217</td>\n",
       "      <td>6811</td>\n",
       "      <td>7468</td>\n",
       "      <td>11227</td>\n",
       "      <td>12603</td>\n",
       "      <td>241600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philippines</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>6051</td>\n",
       "      <td>5921</td>\n",
       "      <td>5249</td>\n",
       "      <td>4562</td>\n",
       "      <td>3801</td>\n",
       "      <td>3150</td>\n",
       "      <td>4166</td>\n",
       "      <td>...</td>\n",
       "      <td>18139</td>\n",
       "      <td>18400</td>\n",
       "      <td>19837</td>\n",
       "      <td>24887</td>\n",
       "      <td>28573</td>\n",
       "      <td>38617</td>\n",
       "      <td>36765</td>\n",
       "      <td>34315</td>\n",
       "      <td>29544</td>\n",
       "      <td>511391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qatar</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Republic of Korea</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1011</td>\n",
       "      <td>1456</td>\n",
       "      <td>1572</td>\n",
       "      <td>1081</td>\n",
       "      <td>847</td>\n",
       "      <td>962</td>\n",
       "      <td>1208</td>\n",
       "      <td>...</td>\n",
       "      <td>5832</td>\n",
       "      <td>6215</td>\n",
       "      <td>5920</td>\n",
       "      <td>7294</td>\n",
       "      <td>5874</td>\n",
       "      <td>5537</td>\n",
       "      <td>4588</td>\n",
       "      <td>5316</td>\n",
       "      <td>4509</td>\n",
       "      <td>142581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>198</td>\n",
       "      <td>252</td>\n",
       "      <td>188</td>\n",
       "      <td>249</td>\n",
       "      <td>246</td>\n",
       "      <td>330</td>\n",
       "      <td>278</td>\n",
       "      <td>286</td>\n",
       "      <td>267</td>\n",
       "      <td>3425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>241</td>\n",
       "      <td>301</td>\n",
       "      <td>337</td>\n",
       "      <td>169</td>\n",
       "      <td>128</td>\n",
       "      <td>139</td>\n",
       "      <td>205</td>\n",
       "      <td>...</td>\n",
       "      <td>392</td>\n",
       "      <td>298</td>\n",
       "      <td>690</td>\n",
       "      <td>734</td>\n",
       "      <td>366</td>\n",
       "      <td>805</td>\n",
       "      <td>219</td>\n",
       "      <td>146</td>\n",
       "      <td>141</td>\n",
       "      <td>14579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sri Lanka</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>185</td>\n",
       "      <td>371</td>\n",
       "      <td>290</td>\n",
       "      <td>197</td>\n",
       "      <td>1086</td>\n",
       "      <td>845</td>\n",
       "      <td>1838</td>\n",
       "      <td>...</td>\n",
       "      <td>4930</td>\n",
       "      <td>4714</td>\n",
       "      <td>4123</td>\n",
       "      <td>4756</td>\n",
       "      <td>4547</td>\n",
       "      <td>4422</td>\n",
       "      <td>3309</td>\n",
       "      <td>3338</td>\n",
       "      <td>2394</td>\n",
       "      <td>148358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State of Palestine</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>453</td>\n",
       "      <td>627</td>\n",
       "      <td>441</td>\n",
       "      <td>481</td>\n",
       "      <td>400</td>\n",
       "      <td>654</td>\n",
       "      <td>555</td>\n",
       "      <td>533</td>\n",
       "      <td>462</td>\n",
       "      <td>6512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Syrian Arab Republic</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>315</td>\n",
       "      <td>419</td>\n",
       "      <td>409</td>\n",
       "      <td>269</td>\n",
       "      <td>264</td>\n",
       "      <td>385</td>\n",
       "      <td>493</td>\n",
       "      <td>...</td>\n",
       "      <td>1458</td>\n",
       "      <td>1145</td>\n",
       "      <td>1056</td>\n",
       "      <td>919</td>\n",
       "      <td>917</td>\n",
       "      <td>1039</td>\n",
       "      <td>1005</td>\n",
       "      <td>650</td>\n",
       "      <td>1009</td>\n",
       "      <td>31485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tajikistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Central Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>85</td>\n",
       "      <td>46</td>\n",
       "      <td>44</td>\n",
       "      <td>15</td>\n",
       "      <td>50</td>\n",
       "      <td>52</td>\n",
       "      <td>47</td>\n",
       "      <td>34</td>\n",
       "      <td>39</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>56</td>\n",
       "      <td>53</td>\n",
       "      <td>113</td>\n",
       "      <td>65</td>\n",
       "      <td>82</td>\n",
       "      <td>66</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>575</td>\n",
       "      <td>500</td>\n",
       "      <td>487</td>\n",
       "      <td>519</td>\n",
       "      <td>512</td>\n",
       "      <td>499</td>\n",
       "      <td>396</td>\n",
       "      <td>296</td>\n",
       "      <td>400</td>\n",
       "      <td>9174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkey</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>481</td>\n",
       "      <td>874</td>\n",
       "      <td>706</td>\n",
       "      <td>280</td>\n",
       "      <td>338</td>\n",
       "      <td>202</td>\n",
       "      <td>257</td>\n",
       "      <td>...</td>\n",
       "      <td>2065</td>\n",
       "      <td>1638</td>\n",
       "      <td>1463</td>\n",
       "      <td>1122</td>\n",
       "      <td>1238</td>\n",
       "      <td>1492</td>\n",
       "      <td>1257</td>\n",
       "      <td>1068</td>\n",
       "      <td>729</td>\n",
       "      <td>31781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkmenistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Central Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>40</td>\n",
       "      <td>26</td>\n",
       "      <td>37</td>\n",
       "      <td>13</td>\n",
       "      <td>20</td>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "      <td>310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Arab Emirates</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>31</td>\n",
       "      <td>42</td>\n",
       "      <td>37</td>\n",
       "      <td>33</td>\n",
       "      <td>37</td>\n",
       "      <td>86</td>\n",
       "      <td>60</td>\n",
       "      <td>54</td>\n",
       "      <td>46</td>\n",
       "      <td>836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uzbekistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Central Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>330</td>\n",
       "      <td>262</td>\n",
       "      <td>284</td>\n",
       "      <td>215</td>\n",
       "      <td>288</td>\n",
       "      <td>289</td>\n",
       "      <td>162</td>\n",
       "      <td>235</td>\n",
       "      <td>167</td>\n",
       "      <td>3368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Viet Nam</th>\n",
       "      <td>Asia</td>\n",
       "      <td>South-Eastern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1191</td>\n",
       "      <td>1829</td>\n",
       "      <td>2162</td>\n",
       "      <td>3404</td>\n",
       "      <td>7583</td>\n",
       "      <td>5907</td>\n",
       "      <td>2741</td>\n",
       "      <td>...</td>\n",
       "      <td>1852</td>\n",
       "      <td>3153</td>\n",
       "      <td>2574</td>\n",
       "      <td>1784</td>\n",
       "      <td>2171</td>\n",
       "      <td>1942</td>\n",
       "      <td>1723</td>\n",
       "      <td>1731</td>\n",
       "      <td>2112</td>\n",
       "      <td>97146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Western Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>161</td>\n",
       "      <td>140</td>\n",
       "      <td>122</td>\n",
       "      <td>133</td>\n",
       "      <td>128</td>\n",
       "      <td>211</td>\n",
       "      <td>160</td>\n",
       "      <td>174</td>\n",
       "      <td>217</td>\n",
       "      <td>2985</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Continent              Region  \\\n",
       "Afghanistan                                         Asia       Southern Asia   \n",
       "Armenia                                             Asia        Western Asia   \n",
       "Azerbaijan                                          Asia        Western Asia   \n",
       "Bahrain                                             Asia        Western Asia   \n",
       "Bangladesh                                          Asia       Southern Asia   \n",
       "Bhutan                                              Asia       Southern Asia   \n",
       "Brunei Darussalam                                   Asia  South-Eastern Asia   \n",
       "Cambodia                                            Asia  South-Eastern Asia   \n",
       "China                                               Asia        Eastern Asia   \n",
       "China, Hong Kong Special Administrative Region      Asia        Eastern Asia   \n",
       "China, Macao Special Administrative Region          Asia        Eastern Asia   \n",
       "Cyprus                                              Asia        Western Asia   \n",
       "Democratic People's Republic of Korea               Asia        Eastern Asia   \n",
       "Georgia                                             Asia        Western Asia   \n",
       "India                                               Asia       Southern Asia   \n",
       "Indonesia                                           Asia  South-Eastern Asia   \n",
       "Iran (Islamic Republic of)                          Asia       Southern Asia   \n",
       "Iraq                                                Asia        Western Asia   \n",
       "Israel                                              Asia        Western Asia   \n",
       "Japan                                               Asia        Eastern Asia   \n",
       "Jordan                                              Asia        Western Asia   \n",
       "Kazakhstan                                          Asia        Central Asia   \n",
       "Kuwait                                              Asia        Western Asia   \n",
       "Kyrgyzstan                                          Asia        Central Asia   \n",
       "Lao People's Democratic Republic                    Asia  South-Eastern Asia   \n",
       "Lebanon                                             Asia        Western Asia   \n",
       "Malaysia                                            Asia  South-Eastern Asia   \n",
       "Maldives                                            Asia       Southern Asia   \n",
       "Mongolia                                            Asia        Eastern Asia   \n",
       "Myanmar                                             Asia  South-Eastern Asia   \n",
       "Nepal                                               Asia       Southern Asia   \n",
       "Oman                                                Asia        Western Asia   \n",
       "Pakistan                                            Asia       Southern Asia   \n",
       "Philippines                                         Asia  South-Eastern Asia   \n",
       "Qatar                                               Asia        Western Asia   \n",
       "Republic of Korea                                   Asia        Eastern Asia   \n",
       "Saudi Arabia                                        Asia        Western Asia   \n",
       "Singapore                                           Asia  South-Eastern Asia   \n",
       "Sri Lanka                                           Asia       Southern Asia   \n",
       "State of Palestine                                  Asia        Western Asia   \n",
       "Syrian Arab Republic                                Asia        Western Asia   \n",
       "Tajikistan                                          Asia        Central Asia   \n",
       "Thailand                                            Asia  South-Eastern Asia   \n",
       "Turkey                                              Asia        Western Asia   \n",
       "Turkmenistan                                        Asia        Central Asia   \n",
       "United Arab Emirates                                Asia        Western Asia   \n",
       "Uzbekistan                                          Asia        Central Asia   \n",
       "Viet Nam                                            Asia  South-Eastern Asia   \n",
       "Yemen                                               Asia        Western Asia   \n",
       "\n",
       "                                                           DevName  1980  \\\n",
       "Afghanistan                                     Developing regions    16   \n",
       "Armenia                                         Developing regions     0   \n",
       "Azerbaijan                                      Developing regions     0   \n",
       "Bahrain                                         Developing regions     0   \n",
       "Bangladesh                                      Developing regions    83   \n",
       "Bhutan                                          Developing regions     0   \n",
       "Brunei Darussalam                               Developing regions    79   \n",
       "Cambodia                                        Developing regions    12   \n",
       "China                                           Developing regions  5123   \n",
       "China, Hong Kong Special Administrative Region  Developing regions     0   \n",
       "China, Macao Special Administrative Region      Developing regions     0   \n",
       "Cyprus                                          Developing regions   132   \n",
       "Democratic People's Republic of Korea           Developing regions     1   \n",
       "Georgia                                         Developing regions     0   \n",
       "India                                           Developing regions  8880   \n",
       "Indonesia                                       Developing regions   186   \n",
       "Iran (Islamic Republic of)                      Developing regions  1172   \n",
       "Iraq                                            Developing regions   262   \n",
       "Israel                                          Developing regions  1403   \n",
       "Japan                                            Developed regions   701   \n",
       "Jordan                                          Developing regions   177   \n",
       "Kazakhstan                                      Developing regions     0   \n",
       "Kuwait                                          Developing regions     1   \n",
       "Kyrgyzstan                                      Developing regions     0   \n",
       "Lao People's Democratic Republic                Developing regions    11   \n",
       "Lebanon                                         Developing regions  1409   \n",
       "Malaysia                                        Developing regions   786   \n",
       "Maldives                                        Developing regions     0   \n",
       "Mongolia                                        Developing regions     0   \n",
       "Myanmar                                         Developing regions    80   \n",
       "Nepal                                           Developing regions     1   \n",
       "Oman                                            Developing regions     0   \n",
       "Pakistan                                        Developing regions   978   \n",
       "Philippines                                     Developing regions  6051   \n",
       "Qatar                                           Developing regions     0   \n",
       "Republic of Korea                               Developing regions  1011   \n",
       "Saudi Arabia                                    Developing regions     0   \n",
       "Singapore                                       Developing regions   241   \n",
       "Sri Lanka                                       Developing regions   185   \n",
       "State of Palestine                              Developing regions     0   \n",
       "Syrian Arab Republic                            Developing regions   315   \n",
       "Tajikistan                                      Developing regions     0   \n",
       "Thailand                                        Developing regions    56   \n",
       "Turkey                                          Developing regions   481   \n",
       "Turkmenistan                                    Developing regions     0   \n",
       "United Arab Emirates                            Developing regions     0   \n",
       "Uzbekistan                                      Developing regions     0   \n",
       "Viet Nam                                        Developing regions  1191   \n",
       "Yemen                                           Developing regions     1   \n",
       "\n",
       "                                                1981  1982  1983  1984  1985  \\\n",
       "Afghanistan                                       39    39    47    71   340   \n",
       "Armenia                                            0     0     0     0     0   \n",
       "Azerbaijan                                         0     0     0     0     0   \n",
       "Bahrain                                            2     1     1     1     3   \n",
       "Bangladesh                                        84    86    81    98    92   \n",
       "Bhutan                                             0     0     0     1     0   \n",
       "Brunei Darussalam                                  6     8     2     2     4   \n",
       "Cambodia                                          19    26    33    10     7   \n",
       "China                                           6682  3308  1863  1527  1816   \n",
       "China, Hong Kong Special Administrative Region     0     0     0     0     0   \n",
       "China, Macao Special Administrative Region         0     0     0     0     0   \n",
       "Cyprus                                           128    84    46    46    43   \n",
       "Democratic People's Republic of Korea              1     3     1     4     3   \n",
       "Georgia                                            0     0     0     0     0   \n",
       "India                                           8670  8147  7338  5704  4211   \n",
       "Indonesia                                        178   252   115   123   100   \n",
       "Iran (Islamic Republic of)                      1429  1822  1592  1977  1648   \n",
       "Iraq                                             245   260   380   428   231   \n",
       "Israel                                          1711  1334   541   446   680   \n",
       "Japan                                            756   598   309   246   198   \n",
       "Jordan                                           160   155   113   102   179   \n",
       "Kazakhstan                                         0     0     0     0     0   \n",
       "Kuwait                                             0     8     2     1     4   \n",
       "Kyrgyzstan                                         0     0     0     0     0   \n",
       "Lao People's Democratic Republic                   6    16    16     7    17   \n",
       "Lebanon                                         1119  1159   789  1253  1683   \n",
       "Malaysia                                         816   813   448   384   374   \n",
       "Maldives                                           0     0     1     0     0   \n",
       "Mongolia                                           0     0     0     0     0   \n",
       "Myanmar                                           62    46    31    41    23   \n",
       "Nepal                                              1     6     1     2     4   \n",
       "Oman                                               0     0     8     0     0   \n",
       "Pakistan                                         972  1201   900   668   514   \n",
       "Philippines                                     5921  5249  4562  3801  3150   \n",
       "Qatar                                              0     0     0     0     0   \n",
       "Republic of Korea                               1456  1572  1081   847   962   \n",
       "Saudi Arabia                                       0     1     4     1     2   \n",
       "Singapore                                        301   337   169   128   139   \n",
       "Sri Lanka                                        371   290   197  1086   845   \n",
       "State of Palestine                                 0     0     0     0     0   \n",
       "Syrian Arab Republic                             419   409   269   264   385   \n",
       "Tajikistan                                         0     0     0     0     0   \n",
       "Thailand                                          53   113    65    82    66   \n",
       "Turkey                                           874   706   280   338   202   \n",
       "Turkmenistan                                       0     0     0     0     0   \n",
       "United Arab Emirates                               2     2     1     2     0   \n",
       "Uzbekistan                                         0     0     0     0     0   \n",
       "Viet Nam                                        1829  2162  3404  7583  5907   \n",
       "Yemen                                              2     1     6     0    18   \n",
       "\n",
       "                                                1986   ...     2005   2006  \\\n",
       "Afghanistan                                      496   ...     3436   3009   \n",
       "Armenia                                            0   ...      224    218   \n",
       "Azerbaijan                                         0   ...      359    236   \n",
       "Bahrain                                            0   ...       12     12   \n",
       "Bangladesh                                       486   ...     4171   4014   \n",
       "Bhutan                                             0   ...        5     10   \n",
       "Brunei Darussalam                                 12   ...        4      5   \n",
       "Cambodia                                           8   ...      370    529   \n",
       "China                                           1960   ...    42584  33518   \n",
       "China, Hong Kong Special Administrative Region     0   ...      729    712   \n",
       "China, Macao Special Administrative Region         0   ...       21     32   \n",
       "Cyprus                                            48   ...        7      9   \n",
       "Democratic People's Republic of Korea              0   ...       14     10   \n",
       "Georgia                                            0   ...      114    125   \n",
       "India                                           7150   ...    36210  33848   \n",
       "Indonesia                                        127   ...      632    613   \n",
       "Iran (Islamic Republic of)                      1794   ...     5837   7480   \n",
       "Iraq                                             265   ...     2226   1788   \n",
       "Israel                                          1212   ...     2446   2625   \n",
       "Japan                                            248   ...     1067   1212   \n",
       "Jordan                                           181   ...     1940   1827   \n",
       "Kazakhstan                                         0   ...      506    408   \n",
       "Kuwait                                             4   ...       66     35   \n",
       "Kyrgyzstan                                         0   ...      173    161   \n",
       "Lao People's Democratic Republic                  21   ...       42     74   \n",
       "Lebanon                                         2576   ...     3709   3802   \n",
       "Malaysia                                         425   ...      593    580   \n",
       "Maldives                                           0   ...        0      0   \n",
       "Mongolia                                           0   ...       59     64   \n",
       "Myanmar                                           18   ...      210    953   \n",
       "Nepal                                             13   ...      607    540   \n",
       "Oman                                               0   ...       14     18   \n",
       "Pakistan                                         691   ...    14314  13127   \n",
       "Philippines                                     4166   ...    18139  18400   \n",
       "Qatar                                              1   ...       11      2   \n",
       "Republic of Korea                               1208   ...     5832   6215   \n",
       "Saudi Arabia                                       5   ...      198    252   \n",
       "Singapore                                        205   ...      392    298   \n",
       "Sri Lanka                                       1838   ...     4930   4714   \n",
       "State of Palestine                                 0   ...      453    627   \n",
       "Syrian Arab Republic                             493   ...     1458   1145   \n",
       "Tajikistan                                         0   ...       85     46   \n",
       "Thailand                                          78   ...      575    500   \n",
       "Turkey                                           257   ...     2065   1638   \n",
       "Turkmenistan                                       0   ...       40     26   \n",
       "United Arab Emirates                               5   ...       31     42   \n",
       "Uzbekistan                                         0   ...      330    262   \n",
       "Viet Nam                                        2741   ...     1852   3153   \n",
       "Yemen                                              7   ...      161    140   \n",
       "\n",
       "                                                 2007   2008   2009   2010  \\\n",
       "Afghanistan                                      2652   2111   1746   1758   \n",
       "Armenia                                           198    205    267    252   \n",
       "Azerbaijan                                        203    125    165    209   \n",
       "Bahrain                                            22      9     35     28   \n",
       "Bangladesh                                       2897   2939   2104   4721   \n",
       "Bhutan                                              7     36    865   1464   \n",
       "Brunei Darussalam                                  11     10      5     12   \n",
       "Cambodia                                          460    354    203    200   \n",
       "China                                           27642  30037  29622  30391   \n",
       "China, Hong Kong Special Administrative Region    674    897    657    623   \n",
       "China, Macao Special Administrative Region         16     12     21     21   \n",
       "Cyprus                                              4      7      6     18   \n",
       "Democratic People's Republic of Korea               7     19     11     45   \n",
       "Georgia                                           132    112    128    126   \n",
       "India                                           28742  28261  29456  34235   \n",
       "Indonesia                                         657    661    504    712   \n",
       "Iran (Islamic Republic of)                       6974   6475   6580   7477   \n",
       "Iraq                                             2406   3543   5450   5941   \n",
       "Israel                                           2401   2562   2316   2755   \n",
       "Japan                                            1250   1284   1194   1168   \n",
       "Jordan                                           1421   1581   1235   1831   \n",
       "Kazakhstan                                        436    394    431    377   \n",
       "Kuwait                                             62     53     68     67   \n",
       "Kyrgyzstan                                        135    168    173    157   \n",
       "Lao People's Democratic Republic                   53     32     39     54   \n",
       "Lebanon                                          3467   3566   3077   3432   \n",
       "Malaysia                                          600    658    640    802   \n",
       "Maldives                                            2      1      7      4   \n",
       "Mongolia                                           82     59    118    169   \n",
       "Myanmar                                          1887    975   1153    556   \n",
       "Nepal                                             511    581    561   1392   \n",
       "Oman                                               16     10      7     14   \n",
       "Pakistan                                        10124   8994   7217   6811   \n",
       "Philippines                                     19837  24887  28573  38617   \n",
       "Qatar                                               5      9      6     18   \n",
       "Republic of Korea                                5920   7294   5874   5537   \n",
       "Saudi Arabia                                      188    249    246    330   \n",
       "Singapore                                         690    734    366    805   \n",
       "Sri Lanka                                        4123   4756   4547   4422   \n",
       "State of Palestine                                441    481    400    654   \n",
       "Syrian Arab Republic                             1056    919    917   1039   \n",
       "Tajikistan                                         44     15     50     52   \n",
       "Thailand                                          487    519    512    499   \n",
       "Turkey                                           1463   1122   1238   1492   \n",
       "Turkmenistan                                       37     13     20     30   \n",
       "United Arab Emirates                               37     33     37     86   \n",
       "Uzbekistan                                        284    215    288    289   \n",
       "Viet Nam                                         2574   1784   2171   1942   \n",
       "Yemen                                             122    133    128    211   \n",
       "\n",
       "                                                 2011   2012   2013   Total  \n",
       "Afghanistan                                      2203   2635   2004   58639  \n",
       "Armenia                                           236    258    207    3310  \n",
       "Azerbaijan                                        138    161     57    2649  \n",
       "Bahrain                                            21     39     32     475  \n",
       "Bangladesh                                       2694   2640   3789   65568  \n",
       "Bhutan                                           1879   1075    487    5876  \n",
       "Brunei Darussalam                                   6      3      6     600  \n",
       "Cambodia                                          196    233    288    6538  \n",
       "China                                           28502  33024  34129  659962  \n",
       "China, Hong Kong Special Administrative Region    591    728    774    9327  \n",
       "China, Macao Special Administrative Region         13     33     29     284  \n",
       "Cyprus                                              6     12     16    1126  \n",
       "Democratic People's Republic of Korea              97     66     17     388  \n",
       "Georgia                                           139    147    125    2068  \n",
       "India                                           27509  30933  33087  691904  \n",
       "Indonesia                                         390    395    387   13150  \n",
       "Iran (Islamic Republic of)                       7479   7534  11291  175923  \n",
       "Iraq                                             6196   4041   4918   69789  \n",
       "Israel                                           1970   2134   1945   66508  \n",
       "Japan                                            1265   1214    982   27707  \n",
       "Jordan                                           1635   1206   1255   35406  \n",
       "Kazakhstan                                        381    462    348    8490  \n",
       "Kuwait                                             58     73     48    2025  \n",
       "Kyrgyzstan                                        159    278    123    2353  \n",
       "Lao People's Democratic Republic                   22     25     15    1089  \n",
       "Lebanon                                          3072   1614   2172  115359  \n",
       "Malaysia                                          409    358    204   24417  \n",
       "Maldives                                            3      1      1      30  \n",
       "Mongolia                                          103     68     99     952  \n",
       "Myanmar                                           368    193    262    9245  \n",
       "Nepal                                            1129   1185   1308   10222  \n",
       "Oman                                               10     13     11     224  \n",
       "Pakistan                                         7468  11227  12603  241600  \n",
       "Philippines                                     36765  34315  29544  511391  \n",
       "Qatar                                               3     14      6     157  \n",
       "Republic of Korea                                4588   5316   4509  142581  \n",
       "Saudi Arabia                                      278    286    267    3425  \n",
       "Singapore                                         219    146    141   14579  \n",
       "Sri Lanka                                        3309   3338   2394  148358  \n",
       "State of Palestine                                555    533    462    6512  \n",
       "Syrian Arab Republic                             1005    650   1009   31485  \n",
       "Tajikistan                                         47     34     39     503  \n",
       "Thailand                                          396    296    400    9174  \n",
       "Turkey                                           1257   1068    729   31781  \n",
       "Turkmenistan                                       20     20     14     310  \n",
       "United Arab Emirates                               60     54     46     836  \n",
       "Uzbekistan                                        162    235    167    3368  \n",
       "Viet Nam                                         1723   1731   2112   97146  \n",
       "Yemen                                             160    174    217    2985  \n",
       "\n",
       "[49 rows x 38 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can[condition]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladesh</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>83</td>\n",
       "      <td>84</td>\n",
       "      <td>86</td>\n",
       "      <td>81</td>\n",
       "      <td>98</td>\n",
       "      <td>92</td>\n",
       "      <td>486</td>\n",
       "      <td>...</td>\n",
       "      <td>4171</td>\n",
       "      <td>4014</td>\n",
       "      <td>2897</td>\n",
       "      <td>2939</td>\n",
       "      <td>2104</td>\n",
       "      <td>4721</td>\n",
       "      <td>2694</td>\n",
       "      <td>2640</td>\n",
       "      <td>3789</td>\n",
       "      <td>65568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bhutan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>36</td>\n",
       "      <td>865</td>\n",
       "      <td>1464</td>\n",
       "      <td>1879</td>\n",
       "      <td>1075</td>\n",
       "      <td>487</td>\n",
       "      <td>5876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>8880</td>\n",
       "      <td>8670</td>\n",
       "      <td>8147</td>\n",
       "      <td>7338</td>\n",
       "      <td>5704</td>\n",
       "      <td>4211</td>\n",
       "      <td>7150</td>\n",
       "      <td>...</td>\n",
       "      <td>36210</td>\n",
       "      <td>33848</td>\n",
       "      <td>28742</td>\n",
       "      <td>28261</td>\n",
       "      <td>29456</td>\n",
       "      <td>34235</td>\n",
       "      <td>27509</td>\n",
       "      <td>30933</td>\n",
       "      <td>33087</td>\n",
       "      <td>691904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iran (Islamic Republic of)</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1172</td>\n",
       "      <td>1429</td>\n",
       "      <td>1822</td>\n",
       "      <td>1592</td>\n",
       "      <td>1977</td>\n",
       "      <td>1648</td>\n",
       "      <td>1794</td>\n",
       "      <td>...</td>\n",
       "      <td>5837</td>\n",
       "      <td>7480</td>\n",
       "      <td>6974</td>\n",
       "      <td>6475</td>\n",
       "      <td>6580</td>\n",
       "      <td>7477</td>\n",
       "      <td>7479</td>\n",
       "      <td>7534</td>\n",
       "      <td>11291</td>\n",
       "      <td>175923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maldives</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nepal</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>607</td>\n",
       "      <td>540</td>\n",
       "      <td>511</td>\n",
       "      <td>581</td>\n",
       "      <td>561</td>\n",
       "      <td>1392</td>\n",
       "      <td>1129</td>\n",
       "      <td>1185</td>\n",
       "      <td>1308</td>\n",
       "      <td>10222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>978</td>\n",
       "      <td>972</td>\n",
       "      <td>1201</td>\n",
       "      <td>900</td>\n",
       "      <td>668</td>\n",
       "      <td>514</td>\n",
       "      <td>691</td>\n",
       "      <td>...</td>\n",
       "      <td>14314</td>\n",
       "      <td>13127</td>\n",
       "      <td>10124</td>\n",
       "      <td>8994</td>\n",
       "      <td>7217</td>\n",
       "      <td>6811</td>\n",
       "      <td>7468</td>\n",
       "      <td>11227</td>\n",
       "      <td>12603</td>\n",
       "      <td>241600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sri Lanka</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>185</td>\n",
       "      <td>371</td>\n",
       "      <td>290</td>\n",
       "      <td>197</td>\n",
       "      <td>1086</td>\n",
       "      <td>845</td>\n",
       "      <td>1838</td>\n",
       "      <td>...</td>\n",
       "      <td>4930</td>\n",
       "      <td>4714</td>\n",
       "      <td>4123</td>\n",
       "      <td>4756</td>\n",
       "      <td>4547</td>\n",
       "      <td>4422</td>\n",
       "      <td>3309</td>\n",
       "      <td>3338</td>\n",
       "      <td>2394</td>\n",
       "      <td>148358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Continent         Region             DevName  1980  \\\n",
       "Afghanistan                     Asia  Southern Asia  Developing regions    16   \n",
       "Bangladesh                      Asia  Southern Asia  Developing regions    83   \n",
       "Bhutan                          Asia  Southern Asia  Developing regions     0   \n",
       "India                           Asia  Southern Asia  Developing regions  8880   \n",
       "Iran (Islamic Republic of)      Asia  Southern Asia  Developing regions  1172   \n",
       "Maldives                        Asia  Southern Asia  Developing regions     0   \n",
       "Nepal                           Asia  Southern Asia  Developing regions     1   \n",
       "Pakistan                        Asia  Southern Asia  Developing regions   978   \n",
       "Sri Lanka                       Asia  Southern Asia  Developing regions   185   \n",
       "\n",
       "                            1981  1982  1983  1984  1985  1986   ...     2005  \\\n",
       "Afghanistan                   39    39    47    71   340   496   ...     3436   \n",
       "Bangladesh                    84    86    81    98    92   486   ...     4171   \n",
       "Bhutan                         0     0     0     1     0     0   ...        5   \n",
       "India                       8670  8147  7338  5704  4211  7150   ...    36210   \n",
       "Iran (Islamic Republic of)  1429  1822  1592  1977  1648  1794   ...     5837   \n",
       "Maldives                       0     0     1     0     0     0   ...        0   \n",
       "Nepal                          1     6     1     2     4    13   ...      607   \n",
       "Pakistan                     972  1201   900   668   514   691   ...    14314   \n",
       "Sri Lanka                    371   290   197  1086   845  1838   ...     4930   \n",
       "\n",
       "                             2006   2007   2008   2009   2010   2011   2012  \\\n",
       "Afghanistan                  3009   2652   2111   1746   1758   2203   2635   \n",
       "Bangladesh                   4014   2897   2939   2104   4721   2694   2640   \n",
       "Bhutan                         10      7     36    865   1464   1879   1075   \n",
       "India                       33848  28742  28261  29456  34235  27509  30933   \n",
       "Iran (Islamic Republic of)   7480   6974   6475   6580   7477   7479   7534   \n",
       "Maldives                        0      2      1      7      4      3      1   \n",
       "Nepal                         540    511    581    561   1392   1129   1185   \n",
       "Pakistan                    13127  10124   8994   7217   6811   7468  11227   \n",
       "Sri Lanka                    4714   4123   4756   4547   4422   3309   3338   \n",
       "\n",
       "                             2013   Total  \n",
       "Afghanistan                  2004   58639  \n",
       "Bangladesh                   3789   65568  \n",
       "Bhutan                        487    5876  \n",
       "India                       33087  691904  \n",
       "Iran (Islamic Republic of)  11291  175923  \n",
       "Maldives                        1      30  \n",
       "Nepal                        1308   10222  \n",
       "Pakistan                    12603  241600  \n",
       "Sri Lanka                    2394  148358  \n",
       "\n",
       "[9 rows x 38 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can[(df_can['Continent']=='Asia') & (df_can['Region']=='Southern Asia')]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data dimensions: (195, 38)\n",
      "Index(['Continent', 'Region', 'DevName', '1980', '1981', '1982', '1983',\n",
      "       '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991', '1992',\n",
      "       '1993', '1994', '1995', '1996', '1997', '1998', '1999', '2000', '2001',\n",
      "       '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010',\n",
      "       '2011', '2012', '2013', 'Total'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</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>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Continent           Region             DevName  1980  1981  1982  \\\n",
       "Afghanistan      Asia    Southern Asia  Developing regions    16    39    39   \n",
       "Albania        Europe  Southern Europe   Developed regions     1     0     0   \n",
       "\n",
       "             1983  1984  1985  1986  ...    2005  2006  2007  2008  2009  \\\n",
       "Afghanistan    47    71   340   496  ...    3436  3009  2652  2111  1746   \n",
       "Albania         0     0     0     1  ...    1223   856   702   560   716   \n",
       "\n",
       "             2010  2011  2012  2013  Total  \n",
       "Afghanistan  1758  2203  2635  2004  58639  \n",
       "Albania       561   539   620   603  15699  \n",
       "\n",
       "[2 rows x 38 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print ('data dimensions:', df_can.shape)\n",
    "print(df_can.columns)\n",
    "df_can.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline \n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['seaborn-muted', 'seaborn-white', 'seaborn-ticks', 'grayscale', 'seaborn-notebook', 'fivethirtyeight', 'seaborn-talk', 'bmh', 'seaborn-whitegrid', 'seaborn-dark-palette', 'dark_background', 'seaborn-deep', 'ggplot', 'seaborn-bright', 'classic', 'seaborn-poster', 'seaborn-dark', 'seaborn-pastel', 'seaborn-darkgrid', 'seaborn-paper', 'seaborn-colorblind']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)\n",
    "mpl.style.use(['ggplot']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f477c624dd8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAALCCAYAAAAvX/+yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQRAEQRREKguCIAiiIFJZEARBEAX9AD56zYXbwz1RAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f477c6244a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_can.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f477c4ec278>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAALCCAYAAAAvX/+yAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQRAEQRREKguCIAiiIFJZEARBEAX9AD56zYXbwz1RAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f47799f9588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_can.plot(kind='line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}