{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "widespread-salvation",
   "metadata": {},
   "source": [
    "## Exercise\n",
    "\n",
    "Load csv file with major cities from https://datahub.io/core/world-cities into a Pandas dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "homeless-haven",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "known-powell",
   "metadata": {},
   "outputs": [],
   "source": [
    "cities = pd.read_csv('world-cities_csv.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "elder-berkeley",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   name               country           subcountry  geonameid\n",
      "0          les Escaldes               Andorra   Escaldes-Engordany    3040051\n",
      "1      Andorra la Vella               Andorra     Andorra la Vella    3041563\n",
      "2        Umm al Qaywayn  United Arab Emirates       Umm al Qaywayn     290594\n",
      "3        Ras al-Khaimah  United Arab Emirates      Raʼs al Khaymah     291074\n",
      "4          Khawr Fakkān  United Arab Emirates         Ash Shāriqah     291696\n",
      "...                 ...                   ...                  ...        ...\n",
      "23013          Bulawayo              Zimbabwe             Bulawayo     894701\n",
      "23014           Bindura              Zimbabwe  Mashonaland Central     895061\n",
      "23015        Beitbridge              Zimbabwe   Matabeleland South     895269\n",
      "23016           Epworth              Zimbabwe               Harare    1085510\n",
      "23017       Chitungwiza              Zimbabwe               Harare    1106542\n",
      "\n",
      "[23018 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "print(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "vulnerable-interface",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "unnecessary-ethics",
   "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>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "      <th>geonameid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>les Escaldes</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Escaldes-Engordany</td>\n",
       "      <td>3040051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>3041563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>290594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ras al-Khaimah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Raʼs al Khaymah</td>\n",
       "      <td>291074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Khawr Fakkān</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Ash Shāriqah</td>\n",
       "      <td>291696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23013</th>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>894701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23014</th>\n",
       "      <td>Bindura</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Mashonaland Central</td>\n",
       "      <td>895061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23015</th>\n",
       "      <td>Beitbridge</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Matabeleland South</td>\n",
       "      <td>895269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23016</th>\n",
       "      <td>Epworth</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>1085510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23017</th>\n",
       "      <td>Chitungwiza</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>1106542</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23018 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   name               country           subcountry  geonameid\n",
       "0          les Escaldes               Andorra   Escaldes-Engordany    3040051\n",
       "1      Andorra la Vella               Andorra     Andorra la Vella    3041563\n",
       "2        Umm al Qaywayn  United Arab Emirates       Umm al Qaywayn     290594\n",
       "3        Ras al-Khaimah  United Arab Emirates      Raʼs al Khaymah     291074\n",
       "4          Khawr Fakkān  United Arab Emirates         Ash Shāriqah     291696\n",
       "...                 ...                   ...                  ...        ...\n",
       "23013          Bulawayo              Zimbabwe             Bulawayo     894701\n",
       "23014           Bindura              Zimbabwe  Mashonaland Central     895061\n",
       "23015        Beitbridge              Zimbabwe   Matabeleland South     895269\n",
       "23016           Epworth              Zimbabwe               Harare    1085510\n",
       "23017       Chitungwiza              Zimbabwe               Harare    1106542\n",
       "\n",
       "[23018 rows x 4 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "plastic-pickup",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(cities['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "developmental-southeast",
   "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>name</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>les Escaldes</td>\n",
       "      <td>Andorra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Andorra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ras al-Khaimah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Khawr Fakkān</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23013</th>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23014</th>\n",
       "      <td>Bindura</td>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23015</th>\n",
       "      <td>Beitbridge</td>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23016</th>\n",
       "      <td>Epworth</td>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23017</th>\n",
       "      <td>Chitungwiza</td>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23018 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   name               country\n",
       "0          les Escaldes               Andorra\n",
       "1      Andorra la Vella               Andorra\n",
       "2        Umm al Qaywayn  United Arab Emirates\n",
       "3        Ras al-Khaimah  United Arab Emirates\n",
       "4          Khawr Fakkān  United Arab Emirates\n",
       "...                 ...                   ...\n",
       "23013          Bulawayo              Zimbabwe\n",
       "23014           Bindura              Zimbabwe\n",
       "23015        Beitbridge              Zimbabwe\n",
       "23016           Epworth              Zimbabwe\n",
       "23017       Chitungwiza              Zimbabwe\n",
       "\n",
       "[23018 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities[['name', 'country']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "median-frontier",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            les Escaldes\n",
       "1        Andorra la Vella\n",
       "2          Umm al Qaywayn\n",
       "3          Ras al-Khaimah\n",
       "4            Khawr Fakkān\n",
       "               ...       \n",
       "23013            Bulawayo\n",
       "23014             Bindura\n",
       "23015          Beitbridge\n",
       "23016             Epworth\n",
       "23017         Chitungwiza\n",
       "Name: name, Length: 23018, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "italian-aside",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\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>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "      <th>geonameid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>les Escaldes</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Escaldes-Engordany</td>\n",
       "      <td>3040051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>3041563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>290594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ras al-Khaimah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Raʼs al Khaymah</td>\n",
       "      <td>291074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Khawr Fakkān</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Ash Shāriqah</td>\n",
       "      <td>291696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dubai</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Dubai</td>\n",
       "      <td>292223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dibba Al-Fujairah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Al Fujayrah</td>\n",
       "      <td>292231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Dibba Al-Hisn</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Al Fujayrah</td>\n",
       "      <td>292239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sharjah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Ash Shāriqah</td>\n",
       "      <td>292672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ar Ruways</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>292688</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                name               country          subcountry  geonameid\n",
       "0       les Escaldes               Andorra  Escaldes-Engordany    3040051\n",
       "1   Andorra la Vella               Andorra    Andorra la Vella    3041563\n",
       "2     Umm al Qaywayn  United Arab Emirates      Umm al Qaywayn     290594\n",
       "3     Ras al-Khaimah  United Arab Emirates     Raʼs al Khaymah     291074\n",
       "4       Khawr Fakkān  United Arab Emirates        Ash Shāriqah     291696\n",
       "5              Dubai  United Arab Emirates               Dubai     292223\n",
       "6  Dibba Al-Fujairah  United Arab Emirates         Al Fujayrah     292231\n",
       "7      Dibba Al-Hisn  United Arab Emirates         Al Fujayrah     292239\n",
       "8            Sharjah  United Arab Emirates        Ash Shāriqah     292672\n",
       "9          Ar Ruways  United Arab Emirates           Abu Dhabi     292688"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "indonesian-diameter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name                    Århus\n",
       "country               Denmark\n",
       "subcountry    Central Jutland\n",
       "geonameid             2624652\n",
       "Name: 5409, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities.iloc[5409]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "therapeutic-haiti",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Århus'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities.at[5409, 'name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "considerable-skirt",
   "metadata": {},
   "outputs": [],
   "source": [
    "geo = cities.set_index('geonameid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "configured-cooperation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>geonameid</th>\n",
       "      <th></th>\n",
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       "      <th>2624652</th>\n",
       "      <td>Århus</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  country       subcountry\n",
       "geonameid                                 \n",
       "2624652    Århus  Denmark  Central Jutland"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo.loc[2624652:2624652]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "excessive-machine",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "      <th>geonameid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5409</th>\n",
       "      <td>Århus</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2624652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       name  country       subcountry  geonameid\n",
       "5409  Århus  Denmark  Central Jutland    2624652"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities.iloc[5409:5410]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "lightweight-netherlands",
   "metadata": {},
   "outputs": [],
   "source": [
    "subcountry = cities.set_index(['country', 'subcountry'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "fourth-settlement",
   "metadata": {},
   "outputs": [],
   "source": [
    "dksub = subcountry.loc['Denmark']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "theoretical-perspective",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>geonameid</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>subcountry</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Aabenraa</td>\n",
       "      <td>2625070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Aalborg</td>\n",
       "      <td>2624886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Albertslund</td>\n",
       "      <td>2624906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Ballerup</td>\n",
       "      <td>2624341</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Birkerød</td>\n",
       "      <td>2624112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Charlottenlund</td>\n",
       "      <td>2623188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>2618425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Esbjerg</td>\n",
       "      <td>2622447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Farum</td>\n",
       "      <td>2622306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Fredericia</td>\n",
       "      <td>2621951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Frederiksberg</td>\n",
       "      <td>2621942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Frederikshavn</td>\n",
       "      <td>2621927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Glostrup</td>\n",
       "      <td>2621356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Greve</td>\n",
       "      <td>2621215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Haderslev</td>\n",
       "      <td>2620964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Helsingør</td>\n",
       "      <td>2620473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Herning</td>\n",
       "      <td>2620425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Hillerød</td>\n",
       "      <td>2620320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Hjørring</td>\n",
       "      <td>2620214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Holbæk</td>\n",
       "      <td>2620147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Holstebro</td>\n",
       "      <td>2620046</td>\n",
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       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Horsens</td>\n",
       "      <td>2619771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Hvidovre</td>\n",
       "      <td>2619528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Hørsholm</td>\n",
       "      <td>2619856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Ishøj</td>\n",
       "      <td>2619377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Kalundborg</td>\n",
       "      <td>2619154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Kolding</td>\n",
       "      <td>2618528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Korsør</td>\n",
       "      <td>2618361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Køge</td>\n",
       "      <td>2618415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Lillerød</td>\n",
       "      <td>2617658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Nyborg</td>\n",
       "      <td>2616015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Nykøbing Falster</td>\n",
       "      <td>2615961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Næstved</td>\n",
       "      <td>2616038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Nørresundby</td>\n",
       "      <td>2616235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Odense</td>\n",
       "      <td>2615876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Randers</td>\n",
       "      <td>2615006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Ringsted</td>\n",
       "      <td>2614764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Roskilde</td>\n",
       "      <td>2614481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Rødovre</td>\n",
       "      <td>2614600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Silkeborg</td>\n",
       "      <td>2614030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Skive</td>\n",
       "      <td>2613731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Slagelse</td>\n",
       "      <td>2613460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Stenløse</td>\n",
       "      <td>2612629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Svendborg</td>\n",
       "      <td>2612045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Sønderborg</td>\n",
       "      <td>2613102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Taastrup</td>\n",
       "      <td>2611828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Vanløse</td>\n",
       "      <td>2610734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Vejle</td>\n",
       "      <td>2610613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Viborg</td>\n",
       "      <td>2610319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Århus</td>\n",
       "      <td>2624652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             name  geonameid\n",
       "subcountry                                  \n",
       "South Denmark            Aabenraa    2625070\n",
       "North Denmark             Aalborg    2624886\n",
       "Capital Region        Albertslund    2624906\n",
       "Capital Region           Ballerup    2624341\n",
       "Capital Region           Birkerød    2624112\n",
       "Capital Region     Charlottenlund    2623188\n",
       "Capital Region         Copenhagen    2618425\n",
       "South Denmark             Esbjerg    2622447\n",
       "Capital Region              Farum    2622306\n",
       "South Denmark          Fredericia    2621951\n",
       "Capital Region      Frederiksberg    2621942\n",
       "North Denmark       Frederikshavn    2621927\n",
       "Capital Region           Glostrup    2621356\n",
       "Zealand                     Greve    2621215\n",
       "South Denmark           Haderslev    2620964\n",
       "Capital Region          Helsingør    2620473\n",
       "Central Jutland           Herning    2620425\n",
       "Capital Region           Hillerød    2620320\n",
       "North Denmark            Hjørring    2620214\n",
       "Zealand                    Holbæk    2620147\n",
       "Central Jutland         Holstebro    2620046\n",
       "Central Jutland           Horsens    2619771\n",
       "Capital Region           Hvidovre    2619528\n",
       "Capital Region           Hørsholm    2619856\n",
       "Capital Region              Ishøj    2619377\n",
       "Zealand                Kalundborg    2619154\n",
       "South Denmark             Kolding    2618528\n",
       "Zealand                    Korsør    2618361\n",
       "Zealand                      Køge    2618415\n",
       "Capital Region           Lillerød    2617658\n",
       "South Denmark              Nyborg    2616015\n",
       "Zealand          Nykøbing Falster    2615961\n",
       "Zealand                   Næstved    2616038\n",
       "North Denmark         Nørresundby    2616235\n",
       "South Denmark              Odense    2615876\n",
       "Central Jutland           Randers    2615006\n",
       "Zealand                  Ringsted    2614764\n",
       "Zealand                  Roskilde    2614481\n",
       "Capital Region            Rødovre    2614600\n",
       "Central Jutland         Silkeborg    2614030\n",
       "Central Jutland             Skive    2613731\n",
       "Zealand                  Slagelse    2613460\n",
       "Capital Region           Stenløse    2612629\n",
       "South Denmark           Svendborg    2612045\n",
       "South Denmark          Sønderborg    2613102\n",
       "Capital Region           Taastrup    2611828\n",
       "Capital Region            Vanløse    2610734\n",
       "South Denmark               Vejle    2610613\n",
       "Central Jutland            Viborg    2610319\n",
       "Central Jutland             Århus    2624652"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dksub.sort_values('name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "powered-horizontal",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
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       "      <th>Capital Region</th>\n",
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       "      <td>2624906</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Helsingør</td>\n",
       "      <td>2620473</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>2618425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Glostrup</td>\n",
       "      <td>2621356</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Lillerød</td>\n",
       "      <td>2617658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Farum</td>\n",
       "      <td>2622306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Rødovre</td>\n",
       "      <td>2614600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Hillerød</td>\n",
       "      <td>2620320</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Ballerup</td>\n",
       "      <td>2624341</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Vanløse</td>\n",
       "      <td>2610734</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Taastrup</td>\n",
       "      <td>2611828</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Stenløse</td>\n",
       "      <td>2612629</td>\n",
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       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Birkerød</td>\n",
       "      <td>2624112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Capital Region</th>\n",
       "      <td>Charlottenlund</td>\n",
       "      <td>2623188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Herning</td>\n",
       "      <td>2620425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Holstebro</td>\n",
       "      <td>2620046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Horsens</td>\n",
       "      <td>2619771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Århus</td>\n",
       "      <td>2624652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Viborg</td>\n",
       "      <td>2610319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Skive</td>\n",
       "      <td>2613731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Silkeborg</td>\n",
       "      <td>2614030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Jutland</th>\n",
       "      <td>Randers</td>\n",
       "      <td>2615006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Nørresundby</td>\n",
       "      <td>2616235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Frederikshavn</td>\n",
       "      <td>2621927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Hjørring</td>\n",
       "      <td>2620214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Denmark</th>\n",
       "      <td>Aalborg</td>\n",
       "      <td>2624886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Fredericia</td>\n",
       "      <td>2621951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Haderslev</td>\n",
       "      <td>2620964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Esbjerg</td>\n",
       "      <td>2622447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Aabenraa</td>\n",
       "      <td>2625070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Kolding</td>\n",
       "      <td>2618528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Nyborg</td>\n",
       "      <td>2616015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Odense</td>\n",
       "      <td>2615876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Sønderborg</td>\n",
       "      <td>2613102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Svendborg</td>\n",
       "      <td>2612045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Denmark</th>\n",
       "      <td>Vejle</td>\n",
       "      <td>2610613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Køge</td>\n",
       "      <td>2618415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Greve</td>\n",
       "      <td>2621215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Korsør</td>\n",
       "      <td>2618361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Næstved</td>\n",
       "      <td>2616038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Nykøbing Falster</td>\n",
       "      <td>2615961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Ringsted</td>\n",
       "      <td>2614764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Roskilde</td>\n",
       "      <td>2614481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Slagelse</td>\n",
       "      <td>2613460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Holbæk</td>\n",
       "      <td>2620147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zealand</th>\n",
       "      <td>Kalundborg</td>\n",
       "      <td>2619154</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             name  geonameid\n",
       "subcountry                                  \n",
       "Capital Region      Frederiksberg    2621942\n",
       "Capital Region           Hørsholm    2619856\n",
       "Capital Region           Hvidovre    2619528\n",
       "Capital Region              Ishøj    2619377\n",
       "Capital Region        Albertslund    2624906\n",
       "Capital Region          Helsingør    2620473\n",
       "Capital Region         Copenhagen    2618425\n",
       "Capital Region           Glostrup    2621356\n",
       "Capital Region           Lillerød    2617658\n",
       "Capital Region              Farum    2622306\n",
       "Capital Region            Rødovre    2614600\n",
       "Capital Region           Hillerød    2620320\n",
       "Capital Region           Ballerup    2624341\n",
       "Capital Region            Vanløse    2610734\n",
       "Capital Region           Taastrup    2611828\n",
       "Capital Region           Stenløse    2612629\n",
       "Capital Region           Birkerød    2624112\n",
       "Capital Region     Charlottenlund    2623188\n",
       "Central Jutland           Herning    2620425\n",
       "Central Jutland         Holstebro    2620046\n",
       "Central Jutland           Horsens    2619771\n",
       "Central Jutland             Århus    2624652\n",
       "Central Jutland            Viborg    2610319\n",
       "Central Jutland             Skive    2613731\n",
       "Central Jutland         Silkeborg    2614030\n",
       "Central Jutland           Randers    2615006\n",
       "North Denmark         Nørresundby    2616235\n",
       "North Denmark       Frederikshavn    2621927\n",
       "North Denmark            Hjørring    2620214\n",
       "North Denmark             Aalborg    2624886\n",
       "South Denmark          Fredericia    2621951\n",
       "South Denmark           Haderslev    2620964\n",
       "South Denmark             Esbjerg    2622447\n",
       "South Denmark            Aabenraa    2625070\n",
       "South Denmark             Kolding    2618528\n",
       "South Denmark              Nyborg    2616015\n",
       "South Denmark              Odense    2615876\n",
       "South Denmark          Sønderborg    2613102\n",
       "South Denmark           Svendborg    2612045\n",
       "South Denmark               Vejle    2610613\n",
       "Zealand                      Køge    2618415\n",
       "Zealand                     Greve    2621215\n",
       "Zealand                    Korsør    2618361\n",
       "Zealand                   Næstved    2616038\n",
       "Zealand          Nykøbing Falster    2615961\n",
       "Zealand                  Ringsted    2614764\n",
       "Zealand                  Roskilde    2614481\n",
       "Zealand                  Slagelse    2613460\n",
       "Zealand                    Holbæk    2620147\n",
       "Zealand                Kalundborg    2619154"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dksub.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "economic-current",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        False\n",
       "1        False\n",
       "2        False\n",
       "3        False\n",
       "4        False\n",
       "         ...  \n",
       "23013    False\n",
       "23014    False\n",
       "23015    False\n",
       "23016    False\n",
       "23017    False\n",
       "Name: country, Length: 23018, dtype: bool"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities.country == 'Denmark'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "velvet-ordinance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({False: 22968, True: 50})"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "Counter(cities.country == 'Denmark')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "curious-determination",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]\n"
     ]
    }
   ],
   "source": [
    "print(list(cities.country == 'Denmark'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "packed-drive",
   "metadata": {},
   "outputs": [],
   "source": [
    "DK = cities[cities.country == 'Denmark']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "exceptional-cooling",
   "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>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "      <th>geonameid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5363</th>\n",
       "      <td>Viborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2610319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5364</th>\n",
       "      <td>Vejle</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2610613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5365</th>\n",
       "      <td>Vanløse</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2610734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5366</th>\n",
       "      <td>Taastrup</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2611828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5367</th>\n",
       "      <td>Svendborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2612045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5368</th>\n",
       "      <td>Stenløse</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2612629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5369</th>\n",
       "      <td>Sønderborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2613102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5370</th>\n",
       "      <td>Slagelse</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2613460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5371</th>\n",
       "      <td>Skive</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2613731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5372</th>\n",
       "      <td>Silkeborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2614030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5373</th>\n",
       "      <td>Roskilde</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2614481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5374</th>\n",
       "      <td>Rødovre</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2614600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5375</th>\n",
       "      <td>Ringsted</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2614764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5376</th>\n",
       "      <td>Randers</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2615006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5377</th>\n",
       "      <td>Odense</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2615876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5378</th>\n",
       "      <td>Nykøbing Falster</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2615961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5379</th>\n",
       "      <td>Nyborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2616015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5380</th>\n",
       "      <td>Næstved</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2616038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5381</th>\n",
       "      <td>Nørresundby</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>North Denmark</td>\n",
       "      <td>2616235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5382</th>\n",
       "      <td>Lillerød</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2617658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5383</th>\n",
       "      <td>Korsør</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2618361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5384</th>\n",
       "      <td>Køge</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2618415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5385</th>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2618425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5386</th>\n",
       "      <td>Kolding</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2618528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5387</th>\n",
       "      <td>Kalundborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2619154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5388</th>\n",
       "      <td>Ishøj</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2619377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5389</th>\n",
       "      <td>Hvidovre</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2619528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5390</th>\n",
       "      <td>Horsens</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2619771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5391</th>\n",
       "      <td>Hørsholm</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2619856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5392</th>\n",
       "      <td>Holstebro</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2620046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5393</th>\n",
       "      <td>Holbæk</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2620147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5394</th>\n",
       "      <td>Hjørring</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>North Denmark</td>\n",
       "      <td>2620214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5395</th>\n",
       "      <td>Hillerød</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2620320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5396</th>\n",
       "      <td>Herning</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2620425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5397</th>\n",
       "      <td>Helsingør</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2620473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5398</th>\n",
       "      <td>Haderslev</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2620964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5399</th>\n",
       "      <td>Greve</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2621215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5400</th>\n",
       "      <td>Glostrup</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2621356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5401</th>\n",
       "      <td>Frederikshavn</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>North Denmark</td>\n",
       "      <td>2621927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5402</th>\n",
       "      <td>Frederiksberg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2621942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5403</th>\n",
       "      <td>Fredericia</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2621951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5404</th>\n",
       "      <td>Farum</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2622306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5405</th>\n",
       "      <td>Esbjerg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2622447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5406</th>\n",
       "      <td>Charlottenlund</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2623188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5407</th>\n",
       "      <td>Birkerød</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2624112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5408</th>\n",
       "      <td>Ballerup</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2624341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5409</th>\n",
       "      <td>Århus</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2624652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5410</th>\n",
       "      <td>Aalborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>North Denmark</td>\n",
       "      <td>2624886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5411</th>\n",
       "      <td>Albertslund</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2624906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5412</th>\n",
       "      <td>Aabenraa</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2625070</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  name  country       subcountry  geonameid\n",
       "5363            Viborg  Denmark  Central Jutland    2610319\n",
       "5364             Vejle  Denmark    South Denmark    2610613\n",
       "5365           Vanløse  Denmark   Capital Region    2610734\n",
       "5366          Taastrup  Denmark   Capital Region    2611828\n",
       "5367         Svendborg  Denmark    South Denmark    2612045\n",
       "5368          Stenløse  Denmark   Capital Region    2612629\n",
       "5369        Sønderborg  Denmark    South Denmark    2613102\n",
       "5370          Slagelse  Denmark          Zealand    2613460\n",
       "5371             Skive  Denmark  Central Jutland    2613731\n",
       "5372         Silkeborg  Denmark  Central Jutland    2614030\n",
       "5373          Roskilde  Denmark          Zealand    2614481\n",
       "5374           Rødovre  Denmark   Capital Region    2614600\n",
       "5375          Ringsted  Denmark          Zealand    2614764\n",
       "5376           Randers  Denmark  Central Jutland    2615006\n",
       "5377            Odense  Denmark    South Denmark    2615876\n",
       "5378  Nykøbing Falster  Denmark          Zealand    2615961\n",
       "5379            Nyborg  Denmark    South Denmark    2616015\n",
       "5380           Næstved  Denmark          Zealand    2616038\n",
       "5381       Nørresundby  Denmark    North Denmark    2616235\n",
       "5382          Lillerød  Denmark   Capital Region    2617658\n",
       "5383            Korsør  Denmark          Zealand    2618361\n",
       "5384              Køge  Denmark          Zealand    2618415\n",
       "5385        Copenhagen  Denmark   Capital Region    2618425\n",
       "5386           Kolding  Denmark    South Denmark    2618528\n",
       "5387        Kalundborg  Denmark          Zealand    2619154\n",
       "5388             Ishøj  Denmark   Capital Region    2619377\n",
       "5389          Hvidovre  Denmark   Capital Region    2619528\n",
       "5390           Horsens  Denmark  Central Jutland    2619771\n",
       "5391          Hørsholm  Denmark   Capital Region    2619856\n",
       "5392         Holstebro  Denmark  Central Jutland    2620046\n",
       "5393            Holbæk  Denmark          Zealand    2620147\n",
       "5394          Hjørring  Denmark    North Denmark    2620214\n",
       "5395          Hillerød  Denmark   Capital Region    2620320\n",
       "5396           Herning  Denmark  Central Jutland    2620425\n",
       "5397         Helsingør  Denmark   Capital Region    2620473\n",
       "5398         Haderslev  Denmark    South Denmark    2620964\n",
       "5399             Greve  Denmark          Zealand    2621215\n",
       "5400          Glostrup  Denmark   Capital Region    2621356\n",
       "5401     Frederikshavn  Denmark    North Denmark    2621927\n",
       "5402     Frederiksberg  Denmark   Capital Region    2621942\n",
       "5403        Fredericia  Denmark    South Denmark    2621951\n",
       "5404             Farum  Denmark   Capital Region    2622306\n",
       "5405           Esbjerg  Denmark    South Denmark    2622447\n",
       "5406    Charlottenlund  Denmark   Capital Region    2623188\n",
       "5407          Birkerød  Denmark   Capital Region    2624112\n",
       "5408          Ballerup  Denmark   Capital Region    2624341\n",
       "5409             Århus  Denmark  Central Jutland    2624652\n",
       "5410           Aalborg  Denmark    North Denmark    2624886\n",
       "5411       Albertslund  Denmark   Capital Region    2624906\n",
       "5412          Aabenraa  Denmark    South Denmark    2625070"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "streaming-costs",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>5363</th>\n",
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       "      <td>Central Jutland</td>\n",
       "      <td>2610319</td>\n",
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       "      <td>Denmark</td>\n",
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       "      <td>2610734</td>\n",
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       "      <td>Capital Region</td>\n",
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       "      <th>5367</th>\n",
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       "      <td>2612045</td>\n",
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       "      <td>Capital Region</td>\n",
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       "    <tr>\n",
       "      <th>5369</th>\n",
       "      <td>Sønderborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>South Denmark</td>\n",
       "      <td>2613102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5370</th>\n",
       "      <td>Slagelse</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2613460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5371</th>\n",
       "      <td>Skive</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2613731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5372</th>\n",
       "      <td>Silkeborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2614030</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  country       subcountry  geonameid\n",
       "5363      Viborg  Denmark  Central Jutland    2610319\n",
       "5364       Vejle  Denmark    South Denmark    2610613\n",
       "5365     Vanløse  Denmark   Capital Region    2610734\n",
       "5366    Taastrup  Denmark   Capital Region    2611828\n",
       "5367   Svendborg  Denmark    South Denmark    2612045\n",
       "5368    Stenløse  Denmark   Capital Region    2612629\n",
       "5369  Sønderborg  Denmark    South Denmark    2613102\n",
       "5370    Slagelse  Denmark          Zealand    2613460\n",
       "5371       Skive  Denmark  Central Jutland    2613731\n",
       "5372   Silkeborg  Denmark  Central Jutland    2614030"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DK[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "asian-plate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>2610613</td>\n",
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       "      <th>5365</th>\n",
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       "    </tr>\n",
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       "      <td>2611828</td>\n",
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       "      <th>5367</th>\n",
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       "    </tr>\n",
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       "      <th>5368</th>\n",
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       "      <td>2613102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5370</th>\n",
       "      <td>Slagelse</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2613460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5371</th>\n",
       "      <td>Skive</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2613731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5372</th>\n",
       "      <td>Silkeborg</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Central Jutland</td>\n",
       "      <td>2614030</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  country       subcountry  geonameid\n",
       "5363      Viborg  Denmark  Central Jutland    2610319\n",
       "5364       Vejle  Denmark    South Denmark    2610613\n",
       "5365     Vanløse  Denmark   Capital Region    2610734\n",
       "5366    Taastrup  Denmark   Capital Region    2611828\n",
       "5367   Svendborg  Denmark    South Denmark    2612045\n",
       "5368    Stenløse  Denmark   Capital Region    2612629\n",
       "5369  Sønderborg  Denmark    South Denmark    2613102\n",
       "5370    Slagelse  Denmark          Zealand    2613460\n",
       "5371       Skive  Denmark  Central Jutland    2613731\n",
       "5372   Silkeborg  Denmark  Central Jutland    2614030"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DK.iloc[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "fifteen-success",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Rødovre</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Capital Region</td>\n",
       "      <td>2614600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5375</th>\n",
       "      <td>Ringsted</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Zealand</td>\n",
       "      <td>2614764</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            name  country       subcountry  geonameid\n",
       "5363      Viborg  Denmark  Central Jutland    2610319\n",
       "5364       Vejle  Denmark    South Denmark    2610613\n",
       "5365     Vanløse  Denmark   Capital Region    2610734\n",
       "5366    Taastrup  Denmark   Capital Region    2611828\n",
       "5367   Svendborg  Denmark    South Denmark    2612045\n",
       "5368    Stenløse  Denmark   Capital Region    2612629\n",
       "5369  Sønderborg  Denmark    South Denmark    2613102\n",
       "5370    Slagelse  Denmark          Zealand    2613460\n",
       "5371       Skive  Denmark  Central Jutland    2613731\n",
       "5372   Silkeborg  Denmark  Central Jutland    2614030\n",
       "5373    Roskilde  Denmark          Zealand    2614481\n",
       "5374     Rødovre  Denmark   Capital Region    2614600\n",
       "5375    Ringsted  Denmark          Zealand    2614764"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DK.loc[:5375]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "cognitive-atlantic",
   "metadata": {},
   "outputs": [],
   "source": [
    "cities['some_value'] = cities.geonameid ** 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "surprising-twenty",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "      <th>geonameid</th>\n",
       "      <th>some_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>les Escaldes</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Escaldes-Engordany</td>\n",
       "      <td>3040051</td>\n",
       "      <td>9241910082601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>3041563</td>\n",
       "      <td>9251105482969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>290594</td>\n",
       "      <td>84444872836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ras al-Khaimah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Raʼs al Khaymah</td>\n",
       "      <td>291074</td>\n",
       "      <td>84724073476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Khawr Fakkān</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Ash Shāriqah</td>\n",
       "      <td>291696</td>\n",
       "      <td>85086556416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23013</th>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>894701</td>\n",
       "      <td>800489879401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23014</th>\n",
       "      <td>Bindura</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Mashonaland Central</td>\n",
       "      <td>895061</td>\n",
       "      <td>801134193721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23015</th>\n",
       "      <td>Beitbridge</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Matabeleland South</td>\n",
       "      <td>895269</td>\n",
       "      <td>801506582361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23016</th>\n",
       "      <td>Epworth</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>1085510</td>\n",
       "      <td>1178331960100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23017</th>\n",
       "      <td>Chitungwiza</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>1106542</td>\n",
       "      <td>1224435197764</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23018 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   name               country           subcountry  geonameid  \\\n",
       "0          les Escaldes               Andorra   Escaldes-Engordany    3040051   \n",
       "1      Andorra la Vella               Andorra     Andorra la Vella    3041563   \n",
       "2        Umm al Qaywayn  United Arab Emirates       Umm al Qaywayn     290594   \n",
       "3        Ras al-Khaimah  United Arab Emirates      Raʼs al Khaymah     291074   \n",
       "4          Khawr Fakkān  United Arab Emirates         Ash Shāriqah     291696   \n",
       "...                 ...                   ...                  ...        ...   \n",
       "23013          Bulawayo              Zimbabwe             Bulawayo     894701   \n",
       "23014           Bindura              Zimbabwe  Mashonaland Central     895061   \n",
       "23015        Beitbridge              Zimbabwe   Matabeleland South     895269   \n",
       "23016           Epworth              Zimbabwe               Harare    1085510   \n",
       "23017       Chitungwiza              Zimbabwe               Harare    1106542   \n",
       "\n",
       "          some_value  \n",
       "0      9241910082601  \n",
       "1      9251105482969  \n",
       "2        84444872836  \n",
       "3        84724073476  \n",
       "4        85086556416  \n",
       "...              ...  \n",
       "23013   800489879401  \n",
       "23014   801134193721  \n",
       "23015   801506582361  \n",
       "23016  1178331960100  \n",
       "23017  1224435197764  \n",
       "\n",
       "[23018 rows x 5 columns]"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "tight-buffer",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method drop in module pandas.core.frame:\n",
      "\n",
      "drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise') method of pandas.core.frame.DataFrame instance\n",
      "    Drop specified labels from rows or columns.\n",
      "    \n",
      "    Remove rows or columns by specifying label names and corresponding\n",
      "    axis, or by specifying directly index or column names. When using a\n",
      "    multi-index, labels on different levels can be removed by specifying\n",
      "    the level.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    labels : single label or list-like\n",
      "        Index or column labels to drop.\n",
      "    axis : {0 or 'index', 1 or 'columns'}, default 0\n",
      "        Whether to drop labels from the index (0 or 'index') or\n",
      "        columns (1 or 'columns').\n",
      "    index : single label or list-like\n",
      "        Alternative to specifying axis (``labels, axis=0``\n",
      "        is equivalent to ``index=labels``).\n",
      "    columns : single label or list-like\n",
      "        Alternative to specifying axis (``labels, axis=1``\n",
      "        is equivalent to ``columns=labels``).\n",
      "    level : int or level name, optional\n",
      "        For MultiIndex, level from which the labels will be removed.\n",
      "    inplace : bool, default False\n",
      "        If False, return a copy. Otherwise, do operation\n",
      "        inplace and return None.\n",
      "    errors : {'ignore', 'raise'}, default 'raise'\n",
      "        If 'ignore', suppress error and only existing labels are\n",
      "        dropped.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    DataFrame or None\n",
      "        DataFrame without the removed index or column labels or\n",
      "        None if ``inplace=True``.\n",
      "    \n",
      "    Raises\n",
      "    ------\n",
      "    KeyError\n",
      "        If any of the labels is not found in the selected axis.\n",
      "    \n",
      "    See Also\n",
      "    --------\n",
      "    DataFrame.loc : Label-location based indexer for selection by label.\n",
      "    DataFrame.dropna : Return DataFrame with labels on given axis omitted\n",
      "        where (all or any) data are missing.\n",
      "    DataFrame.drop_duplicates : Return DataFrame with duplicate rows\n",
      "        removed, optionally only considering certain columns.\n",
      "    Series.drop : Return Series with specified index labels removed.\n",
      "    \n",
      "    Examples\n",
      "    --------\n",
      "    >>> df = pd.DataFrame(np.arange(12).reshape(3, 4),\n",
      "    ...                   columns=['A', 'B', 'C', 'D'])\n",
      "    >>> df\n",
      "       A  B   C   D\n",
      "    0  0  1   2   3\n",
      "    1  4  5   6   7\n",
      "    2  8  9  10  11\n",
      "    \n",
      "    Drop columns\n",
      "    \n",
      "    >>> df.drop(['B', 'C'], axis=1)\n",
      "       A   D\n",
      "    0  0   3\n",
      "    1  4   7\n",
      "    2  8  11\n",
      "    \n",
      "    >>> df.drop(columns=['B', 'C'])\n",
      "       A   D\n",
      "    0  0   3\n",
      "    1  4   7\n",
      "    2  8  11\n",
      "    \n",
      "    Drop a row by index\n",
      "    \n",
      "    >>> df.drop([0, 1])\n",
      "       A  B   C   D\n",
      "    2  8  9  10  11\n",
      "    \n",
      "    Drop columns and/or rows of MultiIndex DataFrame\n",
      "    \n",
      "    >>> midx = pd.MultiIndex(levels=[['lama', 'cow', 'falcon'],\n",
      "    ...                              ['speed', 'weight', 'length']],\n",
      "    ...                      codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2],\n",
      "    ...                             [0, 1, 2, 0, 1, 2, 0, 1, 2]])\n",
      "    >>> df = pd.DataFrame(index=midx, columns=['big', 'small'],\n",
      "    ...                   data=[[45, 30], [200, 100], [1.5, 1], [30, 20],\n",
      "    ...                         [250, 150], [1.5, 0.8], [320, 250],\n",
      "    ...                         [1, 0.8], [0.3, 0.2]])\n",
      "    >>> df\n",
      "                    big     small\n",
      "    lama    speed   45.0    30.0\n",
      "            weight  200.0   100.0\n",
      "            length  1.5     1.0\n",
      "    cow     speed   30.0    20.0\n",
      "            weight  250.0   150.0\n",
      "            length  1.5     0.8\n",
      "    falcon  speed   320.0   250.0\n",
      "            weight  1.0     0.8\n",
      "            length  0.3     0.2\n",
      "    \n",
      "    >>> df.drop(index='cow', columns='small')\n",
      "                    big\n",
      "    lama    speed   45.0\n",
      "            weight  200.0\n",
      "            length  1.5\n",
      "    falcon  speed   320.0\n",
      "            weight  1.0\n",
      "            length  0.3\n",
      "    \n",
      "    >>> df.drop(index='length', level=1)\n",
      "                    big     small\n",
      "    lama    speed   45.0    30.0\n",
      "            weight  200.0   100.0\n",
      "    cow     speed   30.0    20.0\n",
      "            weight  250.0   150.0\n",
      "    falcon  speed   320.0   250.0\n",
      "            weight  1.0     0.8\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(cities.drop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "serial-funeral",
   "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>name</th>\n",
       "      <th>country</th>\n",
       "      <th>subcountry</th>\n",
       "      <th>geonameid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>les Escaldes</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Escaldes-Engordany</td>\n",
       "      <td>3040051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>3041563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Umm al Qaywayn</td>\n",
       "      <td>290594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ras al-Khaimah</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Raʼs al Khaymah</td>\n",
       "      <td>291074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Khawr Fakkān</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Ash Shāriqah</td>\n",
       "      <td>291696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23013</th>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Bulawayo</td>\n",
       "      <td>894701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23014</th>\n",
       "      <td>Bindura</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Mashonaland Central</td>\n",
       "      <td>895061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23015</th>\n",
       "      <td>Beitbridge</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Matabeleland South</td>\n",
       "      <td>895269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23016</th>\n",
       "      <td>Epworth</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>1085510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23017</th>\n",
       "      <td>Chitungwiza</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>1106542</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23018 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   name               country           subcountry  geonameid\n",
       "0          les Escaldes               Andorra   Escaldes-Engordany    3040051\n",
       "1      Andorra la Vella               Andorra     Andorra la Vella    3041563\n",
       "2        Umm al Qaywayn  United Arab Emirates       Umm al Qaywayn     290594\n",
       "3        Ras al-Khaimah  United Arab Emirates      Raʼs al Khaymah     291074\n",
       "4          Khawr Fakkān  United Arab Emirates         Ash Shāriqah     291696\n",
       "...                 ...                   ...                  ...        ...\n",
       "23013          Bulawayo              Zimbabwe             Bulawayo     894701\n",
       "23014           Bindura              Zimbabwe  Mashonaland Central     895061\n",
       "23015        Beitbridge              Zimbabwe   Matabeleland South     895269\n",
       "23016           Epworth              Zimbabwe               Harare    1085510\n",
       "23017       Chitungwiza              Zimbabwe               Harare    1106542\n",
       "\n",
       "[23018 rows x 4 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities = cities.drop(columns='some_value')\n",
    "cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "optimum-chapel",
   "metadata": {},
   "outputs": [],
   "source": [
    "cities.loc[5409].name = 'Aarhus'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "grave-consensus",
   "metadata": {},
   "outputs": [],
   "source": [
    "cities.at[5409, 'name'] = 'Aarhus'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "associate-dinner",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name                   Aarhus\n",
       "country               Denmark\n",
       "subcountry    Central Jutland\n",
       "geonameid             2624652\n",
       "Name: 5409, dtype: object"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities.loc[5409]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fantastic-shift",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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