wikipedia_language_editions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "specific-projection",
   "metadata": {},
   "source": [
    "# Comparing Wikipedia Language Editions\n",
    "\n",
    "Wikipedia (as of January 2022) has [more than 300 active language editions](https://en.wikipedia.org/wiki/List_of_Wikipedias). We can compare (some of) these editions quantitatively and qualitatively using the table from https://meta.wikimedia.org/wiki/Wikipedia_article_depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "employed-complexity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>Language (local)</th>\n",
       "      <th>Wiki</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Articles</th>\n",
       "      <th>Edits</th>\n",
       "      <th>Total Pages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acehnese</td>\n",
       "      <td>Acehnese</td>\n",
       "      <td>ace</td>\n",
       "      <td>6.33</td>\n",
       "      <td>12529</td>\n",
       "      <td>136374</td>\n",
       "      <td>26393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>af</td>\n",
       "      <td>46.23</td>\n",
       "      <td>101532</td>\n",
       "      <td>2470797</td>\n",
       "      <td>367945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alemannic</td>\n",
       "      <td>Alemannisch</td>\n",
       "      <td>als</td>\n",
       "      <td>29.55</td>\n",
       "      <td>28246</td>\n",
       "      <td>1000517</td>\n",
       "      <td>68387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Amharic</td>\n",
       "      <td>አማርኛ</td>\n",
       "      <td>am</td>\n",
       "      <td>34.08</td>\n",
       "      <td>15005</td>\n",
       "      <td>367942</td>\n",
       "      <td>45968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aragonese</td>\n",
       "      <td>Aragonés</td>\n",
       "      <td>an</td>\n",
       "      <td>59.6</td>\n",
       "      <td>40848</td>\n",
       "      <td>1799537</td>\n",
       "      <td>123442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Language Language (local) Wiki  Depth Articles    Edits Total Pages\n",
       "0   Acehnese         Acehnese  ace   6.33    12529   136374       26393\n",
       "1  Afrikaans        Afrikaans   af  46.23   101532  2470797      367945\n",
       "2  Alemannic      Alemannisch  als  29.55    28246  1000517       68387\n",
       "3    Amharic             አማርኛ   am  34.08    15005   367942       45968\n",
       "4  Aragonese         Aragonés   an   59.6    40848  1799537      123442"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# read all (!) HTML tables from the Wikipedia page on article depth\n",
    "tables = pd.read_html(\"https://meta.wikimedia.org/wiki/Wikipedia_article_depth\")\n",
    "\n",
    "# check which table is the one we are looking for\n",
    "tables[3].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "attempted-sponsorship",
   "metadata": {},
   "source": [
    "Apparently, the fourth table (with index 3) is the table we are looking for. Let's extract it into a dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "romance-removal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>Language (local)</th>\n",
       "      <th>Wiki</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Articles</th>\n",
       "      <th>Edits</th>\n",
       "      <th>Total Pages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acehnese</td>\n",
       "      <td>Acehnese</td>\n",
       "      <td>ace</td>\n",
       "      <td>6.33</td>\n",
       "      <td>12529</td>\n",
       "      <td>136374</td>\n",
       "      <td>26393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>af</td>\n",
       "      <td>46.23</td>\n",
       "      <td>101532</td>\n",
       "      <td>2470797</td>\n",
       "      <td>367945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alemannic</td>\n",
       "      <td>Alemannisch</td>\n",
       "      <td>als</td>\n",
       "      <td>29.55</td>\n",
       "      <td>28246</td>\n",
       "      <td>1000517</td>\n",
       "      <td>68387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Amharic</td>\n",
       "      <td>አማርኛ</td>\n",
       "      <td>am</td>\n",
       "      <td>34.08</td>\n",
       "      <td>15005</td>\n",
       "      <td>367942</td>\n",
       "      <td>45968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aragonese</td>\n",
       "      <td>Aragonés</td>\n",
       "      <td>an</td>\n",
       "      <td>59.6</td>\n",
       "      <td>40848</td>\n",
       "      <td>1799537</td>\n",
       "      <td>123442</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>148</th>\n",
       "      <td>Chinese</td>\n",
       "      <td>中文</td>\n",
       "      <td>zh</td>\n",
       "      <td>204.91</td>\n",
       "      <td>1248652</td>\n",
       "      <td>69157062</td>\n",
       "      <td>6890641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Classical Chinese</td>\n",
       "      <td>古文 / 文言文</td>\n",
       "      <td>zh-classical</td>\n",
       "      <td>216.97</td>\n",
       "      <td>11127</td>\n",
       "      <td>372629</td>\n",
       "      <td>93014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Min Nan</td>\n",
       "      <td>Bân-lâm-gú</td>\n",
       "      <td>zh-min-nan</td>\n",
       "      <td>6.26</td>\n",
       "      <td>430984</td>\n",
       "      <td>3110717</td>\n",
       "      <td>1060885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Cantonese</td>\n",
       "      <td>粵語</td>\n",
       "      <td>zh-yue</td>\n",
       "      <td>9.81</td>\n",
       "      <td>121655</td>\n",
       "      <td>1752714</td>\n",
       "      <td>271637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Language</td>\n",
       "      <td>Language (local)</td>\n",
       "      <td>Wiki</td>\n",
       "      <td>Depth</td>\n",
       "      <td>Articles</td>\n",
       "      <td>Edits</td>\n",
       "      <td>Total Pages</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>153 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Language  Language (local)          Wiki   Depth  Articles  \\\n",
       "0             Acehnese          Acehnese           ace    6.33     12529   \n",
       "1            Afrikaans         Afrikaans            af   46.23    101532   \n",
       "2            Alemannic       Alemannisch           als   29.55     28246   \n",
       "3              Amharic              አማርኛ            am   34.08     15005   \n",
       "4            Aragonese          Aragonés            an    59.6     40848   \n",
       "..                 ...               ...           ...     ...       ...   \n",
       "148            Chinese                中文            zh  204.91   1248652   \n",
       "149  Classical Chinese          古文 / 文言文  zh-classical  216.97     11127   \n",
       "150            Min Nan        Bân-lâm-gú    zh-min-nan    6.26    430984   \n",
       "151          Cantonese                粵語        zh-yue    9.81    121655   \n",
       "152           Language  Language (local)          Wiki   Depth  Articles   \n",
       "\n",
       "        Edits  Total Pages  \n",
       "0      136374        26393  \n",
       "1     2470797       367945  \n",
       "2     1000517        68387  \n",
       "3      367942        45968  \n",
       "4     1799537       123442  \n",
       "..        ...          ...  \n",
       "148  69157062      6890641  \n",
       "149    372629        93014  \n",
       "150   3110717      1060885  \n",
       "151   1752714       271637  \n",
       "152     Edits  Total Pages  \n",
       "\n",
       "[153 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = tables[3]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "standing-consensus",
   "metadata": {},
   "source": [
    "We do not need the last row (it repeats the column headers), so let's skip it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "champion-innocent",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Language</th>\n",
       "      <th>Language (local)</th>\n",
       "      <th>Wiki</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Articles</th>\n",
       "      <th>Edits</th>\n",
       "      <th>Total Pages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acehnese</td>\n",
       "      <td>Acehnese</td>\n",
       "      <td>ace</td>\n",
       "      <td>6.33</td>\n",
       "      <td>12529</td>\n",
       "      <td>136374</td>\n",
       "      <td>26393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>Afrikaans</td>\n",
       "      <td>af</td>\n",
       "      <td>46.23</td>\n",
       "      <td>101532</td>\n",
       "      <td>2470797</td>\n",
       "      <td>367945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alemannic</td>\n",
       "      <td>Alemannisch</td>\n",
       "      <td>als</td>\n",
       "      <td>29.55</td>\n",
       "      <td>28246</td>\n",
       "      <td>1000517</td>\n",
       "      <td>68387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Amharic</td>\n",
       "      <td>አማርኛ</td>\n",
       "      <td>am</td>\n",
       "      <td>34.08</td>\n",
       "      <td>15005</td>\n",
       "      <td>367942</td>\n",
       "      <td>45968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aragonese</td>\n",
       "      <td>Aragonés</td>\n",
       "      <td>an</td>\n",
       "      <td>59.6</td>\n",
       "      <td>40848</td>\n",
       "      <td>1799537</td>\n",
       "      <td>123442</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>147</th>\n",
       "      <td>Yoruba</td>\n",
       "      <td>Yorùbá</td>\n",
       "      <td>yo</td>\n",
       "      <td>5.05</td>\n",
       "      <td>33514</td>\n",
       "      <td>543692</td>\n",
       "      <td>58142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Chinese</td>\n",
       "      <td>中文</td>\n",
       "      <td>zh</td>\n",
       "      <td>204.91</td>\n",
       "      <td>1248652</td>\n",
       "      <td>69157062</td>\n",
       "      <td>6890641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Classical Chinese</td>\n",
       "      <td>古文 / 文言文</td>\n",
       "      <td>zh-classical</td>\n",
       "      <td>216.97</td>\n",
       "      <td>11127</td>\n",
       "      <td>372629</td>\n",
       "      <td>93014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Min Nan</td>\n",
       "      <td>Bân-lâm-gú</td>\n",
       "      <td>zh-min-nan</td>\n",
       "      <td>6.26</td>\n",
       "      <td>430984</td>\n",
       "      <td>3110717</td>\n",
       "      <td>1060885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Cantonese</td>\n",
       "      <td>粵語</td>\n",
       "      <td>zh-yue</td>\n",
       "      <td>9.81</td>\n",
       "      <td>121655</td>\n",
       "      <td>1752714</td>\n",
       "      <td>271637</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Language Language (local)          Wiki   Depth Articles  \\\n",
       "0             Acehnese         Acehnese           ace    6.33    12529   \n",
       "1            Afrikaans        Afrikaans            af   46.23   101532   \n",
       "2            Alemannic      Alemannisch           als   29.55    28246   \n",
       "3              Amharic             አማርኛ            am   34.08    15005   \n",
       "4            Aragonese         Aragonés            an    59.6    40848   \n",
       "..                 ...              ...           ...     ...      ...   \n",
       "147             Yoruba           Yorùbá            yo    5.05    33514   \n",
       "148            Chinese               中文            zh  204.91  1248652   \n",
       "149  Classical Chinese         古文 / 文言文  zh-classical  216.97    11127   \n",
       "150            Min Nan       Bân-lâm-gú    zh-min-nan    6.26   430984   \n",
       "151          Cantonese               粵語        zh-yue    9.81   121655   \n",
       "\n",
       "        Edits Total Pages  \n",
       "0      136374       26393  \n",
       "1     2470797      367945  \n",
       "2     1000517       68387  \n",
       "3      367942       45968  \n",
       "4     1799537      123442  \n",
       "..        ...         ...  \n",
       "147    543692       58142  \n",
       "148  69157062     6890641  \n",
       "149    372629       93014  \n",
       "150   3110717     1060885  \n",
       "151   1752714      271637  \n",
       "\n",
       "[152 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(df.tail(1).index, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "processed-detroit",
   "metadata": {},
   "source": [
    "Since that last row contains strings, [read_html](https://pandas.pydata.org/docs/reference/api/pandas.read_html.html) parsed all numbers in the table as strings (and not as numbers). In such a case, we have to explicitly convert the corresponding columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "induced-runner",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Depth'] = df['Depth'].astype(float)\n",
    "df['Articles'] = df['Articles'].astype(int)\n",
    "df['Edits'] = df['Edits'].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "close-multimedia",
   "metadata": {},
   "source": [
    "Now let's plot the depth against the number of articles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "balanced-celebrity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"] = (16,16)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "df.plot.scatter(x='Depth', y='Articles', ax=ax)\n",
    "ax.set_yscale('log')                                # We see more when scaling\n",
    "ax.set_xscale('log')                                # the axes logarithmically.\n",
    "\n",
    "for t in df.itertuples(): \n",
    "    ax.annotate(t.Language, (t.Depth, t.Articles))  # add labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "innovative-large",
   "metadata": {},
   "source": [
    "# Other Examples using Wikipedia Tables\n",
    "\n",
    "## Population and Area Size of the Largest Cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "twenty-apparatus",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>City[a]</th>\n",
       "      <th>Country</th>\n",
       "      <th>UN 2018 population estimates[b]</th>\n",
       "      <th colspan=\"4\" halign=\"left\">City proper[c]</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Metropolitan area[d]</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Urban area[8]</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>City[a]</th>\n",
       "      <th>Country</th>\n",
       "      <th>UN 2018 population estimates[b]</th>\n",
       "      <th>Definition</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area(km2)</th>\n",
       "      <th>Density(/km2)</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area(km2)</th>\n",
       "      <th>Density(/km2)</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area(km2)</th>\n",
       "      <th>Density(/km2)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tokyo</td>\n",
       "      <td>Japan</td>\n",
       "      <td>37468000</td>\n",
       "      <td>Metropolis prefecture</td>\n",
       "      <td>13515271.0</td>\n",
       "      <td>2191.0</td>\n",
       "      <td>6,169[13]</td>\n",
       "      <td>37274000</td>\n",
       "      <td>13452.0</td>\n",
       "      <td>2,771[14]</td>\n",
       "      <td>39105000</td>\n",
       "      <td>8231.0</td>\n",
       "      <td>4,751[e]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Delhi</td>\n",
       "      <td>India</td>\n",
       "      <td>28514000</td>\n",
       "      <td>Capital City</td>\n",
       "      <td>16753235.0</td>\n",
       "      <td>1484.0</td>\n",
       "      <td>11,289[15]</td>\n",
       "      <td>29000000</td>\n",
       "      <td>3483.0</td>\n",
       "      <td>8,326[16]</td>\n",
       "      <td>31870000</td>\n",
       "      <td>2233.0</td>\n",
       "      <td>14,272[f]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shanghai</td>\n",
       "      <td>China</td>\n",
       "      <td>25582000</td>\n",
       "      <td>Municipality</td>\n",
       "      <td>24870895.0</td>\n",
       "      <td>6341.0</td>\n",
       "      <td>3,922[17][18]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22118000</td>\n",
       "      <td>4069.0</td>\n",
       "      <td>5,436[g]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>21650000</td>\n",
       "      <td>Municipality</td>\n",
       "      <td>12252023.0</td>\n",
       "      <td>1521.0</td>\n",
       "      <td>8,055[19]</td>\n",
       "      <td>21734682</td>\n",
       "      <td>7947.0</td>\n",
       "      <td>2,735[20]</td>\n",
       "      <td>22495000</td>\n",
       "      <td>3237.0</td>\n",
       "      <td>6,949[h]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mexico City</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>21581000</td>\n",
       "      <td>City-state</td>\n",
       "      <td>9209944.0</td>\n",
       "      <td>1485.0</td>\n",
       "      <td>6,202[21]</td>\n",
       "      <td>21804515</td>\n",
       "      <td>7866.0</td>\n",
       "      <td>2,772[22]</td>\n",
       "      <td>21505000</td>\n",
       "      <td>2385.0</td>\n",
       "      <td>9017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Washington metropolitan area</td>\n",
       "      <td>United States</td>\n",
       "      <td>5207000</td>\n",
       "      <td>Federal district</td>\n",
       "      <td>702455.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>3,969[30]</td>\n",
       "      <td>6263245</td>\n",
       "      <td>17009.0</td>\n",
       "      <td>368[99]</td>\n",
       "      <td>7583000</td>\n",
       "      <td>5501.0</td>\n",
       "      <td>1,378[r]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Yangon</td>\n",
       "      <td>Myanmar</td>\n",
       "      <td>5157000</td>\n",
       "      <td>City</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6497000</td>\n",
       "      <td>603.0</td>\n",
       "      <td>10774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Alexandria</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>5086000</td>\n",
       "      <td>Urban governorate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4857000</td>\n",
       "      <td>293.0</td>\n",
       "      <td>16577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Jinan</td>\n",
       "      <td>China</td>\n",
       "      <td>5052000</td>\n",
       "      <td>City (sub-provincial)</td>\n",
       "      <td>8700000.0</td>\n",
       "      <td>10244.0</td>\n",
       "      <td>849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4381000</td>\n",
       "      <td>798.0</td>\n",
       "      <td>5490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Guadalajara</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>5023000</td>\n",
       "      <td>Municipality</td>\n",
       "      <td>1385621.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>9,176[21]</td>\n",
       "      <td>5286642</td>\n",
       "      <td>3560.0</td>\n",
       "      <td>1485</td>\n",
       "      <td>5437000</td>\n",
       "      <td>313.0</td>\n",
       "      <td>17,371[22]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>81 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         City[a]        Country  \\\n",
       "                         City[a]        Country   \n",
       "0                          Tokyo          Japan   \n",
       "1                          Delhi          India   \n",
       "2                       Shanghai          China   \n",
       "3                      São Paulo         Brazil   \n",
       "4                    Mexico City         Mexico   \n",
       "..                           ...            ...   \n",
       "76  Washington metropolitan area  United States   \n",
       "77                        Yangon        Myanmar   \n",
       "78                    Alexandria          Egypt   \n",
       "79                         Jinan          China   \n",
       "80                   Guadalajara         Mexico   \n",
       "\n",
       "   UN 2018 population estimates[b]         City proper[c]              \\\n",
       "   UN 2018 population estimates[b]             Definition  Population   \n",
       "0                         37468000  Metropolis prefecture  13515271.0   \n",
       "1                         28514000           Capital City  16753235.0   \n",
       "2                         25582000           Municipality  24870895.0   \n",
       "3                         21650000           Municipality  12252023.0   \n",
       "4                         21581000             City-state   9209944.0   \n",
       "..                             ...                    ...         ...   \n",
       "76                         5207000       Federal district    702455.0   \n",
       "77                         5157000                   City         NaN   \n",
       "78                         5086000      Urban governorate         NaN   \n",
       "79                         5052000  City (sub-provincial)   8700000.0   \n",
       "80                         5023000           Municipality   1385621.0   \n",
       "\n",
       "                            Metropolitan area[d]                          \\\n",
       "   Area(km2)  Density(/km2)           Population Area(km2) Density(/km2)   \n",
       "0     2191.0      6,169[13]             37274000   13452.0     2,771[14]   \n",
       "1     1484.0     11,289[15]             29000000    3483.0     8,326[16]   \n",
       "2     6341.0  3,922[17][18]                  NaN       NaN           NaN   \n",
       "3     1521.0      8,055[19]             21734682    7947.0     2,735[20]   \n",
       "4     1485.0      6,202[21]             21804515    7866.0     2,772[22]   \n",
       "..       ...            ...                  ...       ...           ...   \n",
       "76     177.0      3,969[30]              6263245   17009.0       368[99]   \n",
       "77       NaN            NaN                  NaN       NaN           NaN   \n",
       "78       NaN            NaN                  NaN       NaN           NaN   \n",
       "79   10244.0            849                  NaN       NaN           NaN   \n",
       "80     151.0      9,176[21]              5286642    3560.0          1485   \n",
       "\n",
       "   Urban area[8]                          \n",
       "      Population Area(km2) Density(/km2)  \n",
       "0       39105000    8231.0      4,751[e]  \n",
       "1       31870000    2233.0     14,272[f]  \n",
       "2       22118000    4069.0      5,436[g]  \n",
       "3       22495000    3237.0      6,949[h]  \n",
       "4       21505000    2385.0          9017  \n",
       "..           ...       ...           ...  \n",
       "76       7583000    5501.0      1,378[r]  \n",
       "77       6497000     603.0         10774  \n",
       "78       4857000     293.0         16577  \n",
       "79       4381000     798.0          5490  \n",
       "80       5437000     313.0    17,371[22]  \n",
       "\n",
       "[81 rows x 13 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# read all (!) HTML tables from the Wikipedia page on largest cities\n",
    "tables = pd.read_html(\"https://en.wikipedia.org/wiki/List_of_largest_cities\")\n",
    "\n",
    "cities = tables[1] # select the correct table (try out some numbers)\n",
    "cities"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "frozen-series",
   "metadata": {},
   "source": [
    "The table has grouped columns which are modeled as a [multiindex](https://pandas.pydata.org/docs/user_guide/advanced.html#) in Pandas. The following line selects two column groups and then changes the index level, such that we later can select the columns we are interested in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "recorded-regular",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>City[a]</th>\n",
       "      <th>Definition</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area(km2)</th>\n",
       "      <th>Density(/km2)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>City[a]</th>\n",
       "      <th>City proper[c]</th>\n",
       "      <th>City proper[c]</th>\n",
       "      <th>City proper[c]</th>\n",
       "      <th>City proper[c]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tokyo</td>\n",
       "      <td>Metropolis prefecture</td>\n",
       "      <td>13515271.0</td>\n",
       "      <td>2191.0</td>\n",
       "      <td>6,169[13]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Delhi</td>\n",
       "      <td>Capital City</td>\n",
       "      <td>16753235.0</td>\n",
       "      <td>1484.0</td>\n",
       "      <td>11,289[15]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shanghai</td>\n",
       "      <td>Municipality</td>\n",
       "      <td>24870895.0</td>\n",
       "      <td>6341.0</td>\n",
       "      <td>3,922[17][18]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>Municipality</td>\n",
       "      <td>12252023.0</td>\n",
       "      <td>1521.0</td>\n",
       "      <td>8,055[19]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mexico City</td>\n",
       "      <td>City-state</td>\n",
       "      <td>9209944.0</td>\n",
       "      <td>1485.0</td>\n",
       "      <td>6,202[21]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",