Panda_index_filter.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a7351a05-129e-4667-9a2b-56ea03c295f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "csv_data_path = 'https://raw.githubusercontent.com/turingplanet/pandas-intro/main/public-datasets/country_info.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "85be204b-eee5-4b6d-9158-36a1fe92620e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(csv_data_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "7a34af6d-5454-4641-914c-90c6b7c62245",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>West Bank</td>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country                               Region  Population  \\\n",
       "0       Afghanistan         ASIA (EX. NEAR EAST)             31056997   \n",
       "1           Albania   EASTERN EUROPE                          3581655   \n",
       "2           Algeria   NORTHERN AFRICA                        32930091   \n",
       "3    American Samoa   OCEANIA                                   57794   \n",
       "4           Andorra   WESTERN EUROPE                            71201   \n",
       "..               ...                                  ...         ...   \n",
       "222       West Bank   NEAR EAST                               2460492   \n",
       "223  Western Sahara   NORTHERN AFRICA                          273008   \n",
       "224           Yemen   NEAR EAST                              21456188   \n",
       "225          Zambia   SUB-SAHARAN AFRICA                     11502010   \n",
       "226        Zimbabwe   SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "     Area (sq. mi.) Pop. Density (per sq. mi.) Coastline (coast/area ratio)  \\\n",
       "0            647500                       48,0                         0,00   \n",
       "1             28748                      124,6                         1,26   \n",
       "2           2381740                       13,8                         0,04   \n",
       "3               199                      290,4                        58,29   \n",
       "4               468                      152,1                         0,00   \n",
       "..              ...                        ...                          ...   \n",
       "222            5860                      419,9                         0,00   \n",
       "223          266000                        1,0                         0,42   \n",
       "224          527970                       40,6                         0,36   \n",
       "225          752614                       15,3                         0,00   \n",
       "226          390580                       31,3                         0,00   \n",
       "\n",
       "    Net migration Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "0           23,06                             163,07               700.0   \n",
       "1           -4,93                              21,52              4500.0   \n",
       "2           -0,39                                 31              6000.0   \n",
       "3          -20,71                               9,27              8000.0   \n",
       "4             6,6                               4,05             19000.0   \n",
       "..            ...                                ...                 ...   \n",
       "222          2,98                              19,62               800.0   \n",
       "223           NaN                                NaN                 NaN   \n",
       "224             0                               61,5               800.0   \n",
       "225             0                              88,29               800.0   \n",
       "226             0                              67,69              1900.0   \n",
       "\n",
       "    Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%) Climate  \\\n",
       "0           36,0               3,2      12,13      0,22     87,65       1   \n",
       "1           86,5              71,2      21,09      4,42     74,49       3   \n",
       "2           70,0              78,1       3,22      0,25     96,53       1   \n",
       "3           97,0             259,5         10        15        75       2   \n",
       "4          100,0             497,2       2,22         0     97,78       3   \n",
       "..           ...               ...        ...       ...       ...     ...   \n",
       "222          NaN             145,2       16,9     18,97     64,13       3   \n",
       "223          NaN               NaN       0,02         0     99,98       1   \n",
       "224         50,2              37,2       2,78      0,24     96,98       1   \n",
       "225         80,6               8,2       7,08      0,03      92,9       2   \n",
       "226         90,7              26,8       8,32      0,34     91,34       2   \n",
       "\n",
       "    Birthrate Deathrate Agriculture Industry Service  \n",
       "0        46,6     20,34        0,38     0,24    0,38  \n",
       "1       15,11      5,22       0,232    0,188   0,579  \n",
       "2       17,14      4,61       0,101      0,6   0,298  \n",
       "3       22,46      3,27         NaN      NaN     NaN  \n",
       "4        8,71      6,25         NaN      NaN     NaN  \n",
       "..        ...       ...         ...      ...     ...  \n",
       "222     31,67      3,92        0,09     0,28    0,63  \n",
       "223       NaN       NaN         NaN      NaN     0,4  \n",
       "224     42,89       8,3       0,135    0,472   0,393  \n",
       "225        41     19,93        0,22     0,29   0,489  \n",
       "226     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 20 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5b50bd26-4a9e-4491-b763-4bfb07c26b9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Country', 'Region', 'Population', 'Area (sq. mi.)',\n",
       "       'Pop. Density (per sq. mi.)', 'Coastline (coast/area ratio)',\n",
       "       'Net migration', 'Infant mortality (per 1000 births)',\n",
       "       'GDP ($ per capita)', 'Literacy (%)', 'Phones (per 1000)', 'Arable (%)',\n",
       "       'Crops (%)', 'Other (%)', 'Climate', 'Birthrate', 'Deathrate',\n",
       "       'Agriculture', 'Industry', 'Service'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b4e1e930-4de6-48cb-8480-43112edd8ee3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                                                Afghanistan \n",
       "Region                                ASIA (EX. NEAR EAST)         \n",
       "Population                                                 31056997\n",
       "Area (sq. mi.)                                               647500\n",
       "Pop. Density (per sq. mi.)                                     48,0\n",
       "Coastline (coast/area ratio)                                   0,00\n",
       "Net migration                                                 23,06\n",
       "Infant mortality (per 1000 births)                           163,07\n",
       "GDP ($ per capita)                                            700.0\n",
       "Literacy (%)                                                   36,0\n",
       "Phones (per 1000)                                               3,2\n",
       "Arable (%)                                                    12,13\n",
       "Crops (%)                                                      0,22\n",
       "Other (%)                                                     87,65\n",
       "Climate                                                           1\n",
       "Birthrate                                                      46,6\n",
       "Deathrate                                                     20,34\n",
       "Agriculture                                                    0,38\n",
       "Industry                                                       0,24\n",
       "Service                                                        0,38\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4384c964-a07d-40b1-a3d1-2b0f536a772a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                                                          Albania \n",
       "Region                                EASTERN EUROPE                     \n",
       "Population                                                        3581655\n",
       "Area (sq. mi.)                                                      28748\n",
       "Pop. Density (per sq. mi.)                                          124,6\n",
       "Coastline (coast/area ratio)                                         1,26\n",
       "Net migration                                                       -4,93\n",
       "Infant mortality (per 1000 births)                                  21,52\n",
       "GDP ($ per capita)                                                 4500.0\n",
       "Literacy (%)                                                         86,5\n",
       "Phones (per 1000)                                                    71,2\n",
       "Arable (%)                                                          21,09\n",
       "Crops (%)                                                            4,42\n",
       "Other (%)                                                           74,49\n",
       "Climate                                                                 3\n",
       "Birthrate                                                           15,11\n",
       "Deathrate                                                            5,22\n",
       "Agriculture                                                         0,232\n",
       "Industry                                                            0,188\n",
       "Service                                                             0,579\n",
       "Name: 1, dtype: object"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "3f6963aa-e829-4010-8290-36b7784a3740",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Angola</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12127071</td>\n",
       "      <td>1246700</td>\n",
       "      <td>9,7</td>\n",
       "      <td>0,13</td>\n",
       "      <td>0</td>\n",
       "      <td>191,19</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>42,0</td>\n",
       "      <td>7,8</td>\n",
       "      <td>2,41</td>\n",
       "      <td>0,24</td>\n",
       "      <td>97,35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45,11</td>\n",
       "      <td>24,2</td>\n",
       "      <td>0,096</td>\n",
       "      <td>0,658</td>\n",
       "      <td>0,246</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country                               Region  Population  \\\n",
       "3  American Samoa   OCEANIA                                   57794   \n",
       "4         Andorra   WESTERN EUROPE                            71201   \n",
       "5          Angola   SUB-SAHARAN AFRICA                     12127071   \n",
       "\n",
       "   Area (sq. mi.) Pop. Density (per sq. mi.) Coastline (coast/area ratio)  \\\n",
       "3             199                      290,4                        58,29   \n",
       "4             468                      152,1                         0,00   \n",
       "5         1246700                        9,7                         0,13   \n",
       "\n",
       "  Net migration Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "3        -20,71                               9,27              8000.0   \n",
       "4           6,6                               4,05             19000.0   \n",
       "5             0                             191,19              1900.0   \n",
       "\n",
       "  Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%) Climate  \\\n",
       "3         97,0             259,5         10        15        75       2   \n",
       "4        100,0             497,2       2,22         0     97,78       3   \n",
       "5         42,0               7,8       2,41      0,24     97,35     NaN   \n",
       "\n",
       "  Birthrate Deathrate Agriculture Industry Service  \n",
       "3     22,46      3,27         NaN      NaN     NaN  \n",
       "4      8,71      6,25         NaN      NaN     NaN  \n",
       "5     45,11      24,2       0,096    0,658   0,246  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[3:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "681f8ed6-254c-4ffb-8392-5da540ae5a8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         Afghanistan \n",
       "1             Albania \n",
       "2             Algeria \n",
       "3      American Samoa \n",
       "4             Andorra \n",
       "            ...       \n",
       "222         West Bank \n",
       "223    Western Sahara \n",
       "224             Yemen \n",
       "225            Zambia \n",
       "226          Zimbabwe \n",
       "Name: Country, Length: 227, dtype: object"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Country']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "28ffd4a2-d34d-4121-9860-911e6df60520",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
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       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Region  Population  \\\n",
       "Country                                                            \n",
       "Afghanistan            ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania          EASTERN EUROPE                          3581655   \n",
       "Algeria          NORTHERN AFRICA                        32930091   \n",
       "American Samoa   OCEANIA                                   57794   \n",
       "Andorra          WESTERN EUROPE                            71201   \n",
       "...                                              ...         ...   \n",
       "West Bank        NEAR EAST                               2460492   \n",
       "Western Sahara   NORTHERN AFRICA                          273008   \n",
       "Yemen            NEAR EAST                              21456188   \n",
       "Zambia           SUB-SAHARAN AFRICA                     11502010   \n",
       "Zimbabwe         SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "                 Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                      \n",
       "Afghanistan              647500                       48,0   \n",
       "Albania                   28748                      124,6   \n",
       "Algeria                 2381740                       13,8   \n",
       "American Samoa              199                      290,4   \n",
       "Andorra                     468                      152,1   \n",
       "...                         ...                        ...   \n",
       "West Bank                  5860                      419,9   \n",
       "Western Sahara           266000                        1,0   \n",
       "Yemen                    527970                       40,6   \n",
       "Zambia                   752614                       15,3   \n",
       "Zimbabwe                 390580                       31,3   \n",
       "\n",
       "                Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                      \n",
       "Afghanistan                             0,00         23,06   \n",
       "Albania                                 1,26         -4,93   \n",
       "Algeria                                 0,04         -0,39   \n",
       "American Samoa                         58,29        -20,71   \n",
       "Andorra                                 0,00           6,6   \n",
       "...                                      ...           ...   \n",
       "West Bank                               0,00          2,98   \n",
       "Western Sahara                          0,42           NaN   \n",
       "Yemen                                   0,36             0   \n",
       "Zambia                                  0,00             0   \n",
       "Zimbabwe                                0,00             0   \n",
       "\n",
       "                Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                  \n",
       "Afghanistan                                 163,07               700.0   \n",
       "Albania                                      21,52              4500.0   \n",
       "Algeria                                         31              6000.0   \n",
       "American Samoa                                9,27              8000.0   \n",
       "Andorra                                       4,05             19000.0   \n",
       "...                                            ...                 ...   \n",
       "West Bank                                    19,62               800.0   \n",
       "Western Sahara                                 NaN                 NaN   \n",
       "Yemen                                         61,5               800.0   \n",
       "Zambia                                       88,29               800.0   \n",
       "Zimbabwe                                     67,69              1900.0   \n",
       "\n",
       "                Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                         \n",
       "Afghanistan             36,0               3,2      12,13      0,22     87,65   \n",
       "Albania                 86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                 70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa          97,0             259,5         10        15        75   \n",
       "Andorra                100,0             497,2       2,22         0     97,78   \n",
       "...                      ...               ...        ...       ...       ...   \n",
       "West Bank                NaN             145,2       16,9     18,97     64,13   \n",
       "Western Sahara           NaN               NaN       0,02         0     99,98   \n",
       "Yemen                   50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                  80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe                90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "                Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                   \n",
       "Afghanistan           1      46,6     20,34        0,38     0,24    0,38  \n",
       "Albania               3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria               1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa        2     22,46      3,27         NaN      NaN     NaN  \n",
       "Andorra               3      8,71      6,25         NaN      NaN     NaN  \n",
       "...                 ...       ...       ...         ...      ...     ...  \n",
       "West Bank             3     31,67      3,92        0,09     0,28    0,63  \n",
       "Western Sahara        1       NaN       NaN         NaN      NaN     0,4  \n",
       "Yemen                 1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia                2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe              2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 19 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "0d54c47d-9e1b-4ab5-888e-d0e6342d5546",
   "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>Country</th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
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       "      <th>Net migration</th>\n",
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       "      <th>Other (%)</th>\n",
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       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
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       "      <th>Service</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>West Bank</td>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Country                               Region  Population  \\\n",
       "0       Afghanistan         ASIA (EX. NEAR EAST)             31056997   \n",
       "1           Albania   EASTERN EUROPE                          3581655   \n",
       "2           Algeria   NORTHERN AFRICA                        32930091   \n",
       "3    American Samoa   OCEANIA                                   57794   \n",
       "4           Andorra   WESTERN EUROPE                            71201   \n",
       "..               ...                                  ...         ...   \n",
       "222       West Bank   NEAR EAST                               2460492   \n",
       "223  Western Sahara   NORTHERN AFRICA                          273008   \n",
       "224           Yemen   NEAR EAST                              21456188   \n",
       "225          Zambia   SUB-SAHARAN AFRICA                     11502010   \n",
       "226        Zimbabwe   SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "     Area (sq. mi.) Pop. Density (per sq. mi.) Coastline (coast/area ratio)  \\\n",
       "0            647500                       48,0                         0,00   \n",
       "1             28748                      124,6                         1,26   \n",
       "2           2381740                       13,8                         0,04   \n",
       "3               199                      290,4                        58,29   \n",
       "4               468                      152,1                         0,00   \n",
       "..              ...                        ...                          ...   \n",
       "222            5860                      419,9                         0,00   \n",
       "223          266000                        1,0                         0,42   \n",
       "224          527970                       40,6                         0,36   \n",
       "225          752614                       15,3                         0,00   \n",
       "226          390580                       31,3                         0,00   \n",
       "\n",
       "    Net migration Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "0           23,06                             163,07               700.0   \n",
       "1           -4,93                              21,52              4500.0   \n",
       "2           -0,39                                 31              6000.0   \n",
       "3          -20,71                               9,27              8000.0   \n",
       "4             6,6                               4,05             19000.0   \n",
       "..            ...                                ...                 ...   \n",
       "222          2,98                              19,62               800.0   \n",
       "223           NaN                                NaN                 NaN   \n",
       "224             0                               61,5               800.0   \n",
       "225             0                              88,29               800.0   \n",
       "226             0                              67,69              1900.0   \n",
       "\n",
       "    Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%) Climate  \\\n",
       "0           36,0               3,2      12,13      0,22     87,65       1   \n",
       "1           86,5              71,2      21,09      4,42     74,49       3   \n",
       "2           70,0              78,1       3,22      0,25     96,53       1   \n",
       "3           97,0             259,5         10        15        75       2   \n",
       "4          100,0             497,2       2,22         0     97,78       3   \n",
       "..           ...               ...        ...       ...       ...     ...   \n",
       "222          NaN             145,2       16,9     18,97     64,13       3   \n",
       "223          NaN               NaN       0,02         0     99,98       1   \n",
       "224         50,2              37,2       2,78      0,24     96,98       1   \n",
       "225         80,6               8,2       7,08      0,03      92,9       2   \n",
       "226         90,7              26,8       8,32      0,34     91,34       2   \n",
       "\n",
       "    Birthrate Deathrate Agriculture Industry Service  \n",
       "0        46,6     20,34        0,38     0,24    0,38  \n",
       "1       15,11      5,22       0,232    0,188   0,579  \n",
       "2       17,14      4,61       0,101      0,6   0,298  \n",
       "3       22,46      3,27         NaN      NaN     NaN  \n",
       "4        8,71      6,25         NaN      NaN     NaN  \n",
       "..        ...       ...         ...      ...     ...  \n",
       "222     31,67      3,92        0,09     0,28    0,63  \n",
       "223       NaN       NaN         NaN      NaN     0,4  \n",
       "224     42,89       8,3       0,135    0,472   0,393  \n",
       "225        41     19,93        0,22     0,29   0,489  \n",
       "226     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 20 columns]"
      ]
     },
     "execution_count": 68,
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   ],
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    "df"
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  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "3ecdd2a9-05b1-484c-ba47-8259207b30b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Country'] = df['Country'].str.strip() #把其中首位空格去掉\n",
    "df.set_index('Country', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "b39e0bce-739f-4e21-9203-420e677b05f5",
   "metadata": {},
   "outputs": [
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       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
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       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
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       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
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       "      <td>124,6</td>\n",
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       "      <td>4500.0</td>\n",
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       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population  \\\n",
       "Country                                                           \n",
       "Afghanistan           ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania         EASTERN EUROPE                          3581655   \n",
       "Algeria         NORTHERN AFRICA                        32930091   \n",
       "American Samoa  OCEANIA                                   57794   \n",
       "Andorra         WESTERN EUROPE                            71201   \n",
       "...                                             ...         ...   \n",
       "West Bank       NEAR EAST                               2460492   \n",
       "Western Sahara  NORTHERN AFRICA                          273008   \n",
       "Yemen           NEAR EAST                              21456188   \n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010   \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Afghanistan             647500                       48,0   \n",
       "Albania                  28748                      124,6   \n",
       "Algeria                2381740                       13,8   \n",
       "American Samoa             199                      290,4   \n",
       "Andorra                    468                      152,1   \n",
       "...                        ...                        ...   \n",
       "West Bank                 5860                      419,9   \n",
       "Western Sahara          266000                        1,0   \n",
       "Yemen                   527970                       40,6   \n",
       "Zambia                  752614                       15,3   \n",
       "Zimbabwe                390580                       31,3   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Afghanistan                            0,00         23,06   \n",
       "Albania                                1,26         -4,93   \n",
       "Algeria                                0,04         -0,39   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Andorra                                0,00           6,6   \n",
       "...                                     ...           ...   \n",
       "West Bank                              0,00          2,98   \n",
       "Western Sahara                         0,42           NaN   \n",
       "Yemen                                  0,36             0   \n",
       "Zambia                                 0,00             0   \n",
       "Zimbabwe                               0,00             0   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Afghanistan                                163,07               700.0   \n",
       "Albania                                     21,52              4500.0   \n",
       "Algeria                                        31              6000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Andorra                                      4,05             19000.0   \n",
       "...                                           ...                 ...   \n",
       "West Bank                                   19,62               800.0   \n",
       "Western Sahara                                NaN                 NaN   \n",
       "Yemen                                        61,5               800.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Afghanistan            36,0               3,2      12,13      0,22     87,65   \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Andorra               100,0             497,2       2,22         0     97,78   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "West Bank               NaN             145,2       16,9     18,97     64,13   \n",
       "Western Sahara          NaN               NaN       0,02         0     99,98   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Afghanistan          1      46,6     20,34        0,38     0,24    0,38  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Andorra              3      8,71      6,25         NaN      NaN     NaN  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "West Bank            3     31,67      3,92        0,09     0,28    0,63  \n",
       "Western Sahara       1       NaN       NaN         NaN      NaN     0,4  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 19 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "95c9b8bf-4cc2-4b75-8dbe-0d747b9d2c7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Afghanistan             ASIA (EX. NEAR EAST)         \n",
       "Albania           EASTERN EUROPE                     \n",
       "Algeria           NORTHERN AFRICA                    \n",
       "American Samoa    OCEANIA                            \n",
       "Andorra           WESTERN EUROPE                     \n",
       "                                 ...                 \n",
       "West Bank         NEAR EAST                          \n",
       "Western Sahara    NORTHERN AFRICA                    \n",
       "Yemen             NEAR EAST                          \n",
       "Zambia            SUB-SAHARAN AFRICA                 \n",
       "Zimbabwe          SUB-SAHARAN AFRICA                 \n",
       "Name: Region, Length: 227, dtype: object"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Region']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "5e1f6f3c-dcc8-42ae-b73c-4ca309d5abfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region                                ASIA (EX. NEAR EAST)         \n",
       "Population                                               1313973713\n",
       "Area (sq. mi.)                                              9596960\n",
       "Pop. Density (per sq. mi.)                                    136,9\n",
       "Coastline (coast/area ratio)                                   0,15\n",
       "Net migration                                                  -0,4\n",
       "Infant mortality (per 1000 births)                            24,18\n",
       "GDP ($ per capita)                                           5000.0\n",
       "Literacy (%)                                                   90,9\n",
       "Phones (per 1000)                                             266,7\n",
       "Arable (%)                                                     15,4\n",
       "Crops (%)                                                      1,25\n",
       "Other (%)                                                     83,35\n",
       "Climate                                                         1,5\n",
       "Birthrate                                                     13,25\n",
       "Deathrate                                                      6,97\n",
       "Agriculture                                                   0,125\n",
       "Industry                                                      0,473\n",
       "Service                                                       0,403\n",
       "Name: China, dtype: object"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['China']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "4d576e12-ce20-4d75-b731-f59f142a9a42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Industry    0,473\n",
       "Climate       1,5\n",
       "Name: China, dtype: object"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['China',['Industry', 'Climate']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "d4ce3aad-db1b-4baf-8ba8-06538da2457b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region                                ASIA (EX. NEAR EAST)         \n",
       "Population                                                 31056997\n",
       "Area (sq. mi.)                                               647500\n",
       "Pop. Density (per sq. mi.)                                     48,0\n",
       "Coastline (coast/area ratio)                                   0,00\n",
       "Net migration                                                 23,06\n",
       "Infant mortality (per 1000 births)                           163,07\n",
       "GDP ($ per capita)                                            700.0\n",
       "Literacy (%)                                                   36,0\n",
       "Phones (per 1000)                                               3,2\n",
       "Arable (%)                                                    12,13\n",
       "Crops (%)                                                      0,22\n",
       "Other (%)                                                     87,65\n",
       "Climate                                                           1\n",
       "Birthrate                                                      46,6\n",
       "Deathrate                                                     20,34\n",
       "Agriculture                                                    0,38\n",
       "Industry                                                       0,24\n",
       "Service                                                        0,38\n",
       "Name: Afghanistan, dtype: object"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "ae383eb0-fe61-4498-91ae-a3496ae0f07e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region                                EASTERN EUROPE                     \n",
       "Population                                                        3581655\n",
       "Area (sq. mi.)                                                      28748\n",
       "Pop. Density (per sq. mi.)                                          124,6\n",
       "Coastline (coast/area ratio)                                         1,26\n",
       "Net migration                                                       -4,93\n",
       "Infant mortality (per 1000 births)                                  21,52\n",
       "GDP ($ per capita)                                                 4500.0\n",
       "Literacy (%)                                                         86,5\n",
       "Phones (per 1000)                                                    71,2\n",
       "Arable (%)                                                          21,09\n",
       "Crops (%)                                                            4,42\n",
       "Other (%)                                                           74,49\n",
       "Climate                                                                 3\n",
       "Birthrate                                                           15,11\n",
       "Deathrate                                                            5,22\n",
       "Agriculture                                                         0,232\n",
       "Industry                                                            0,188\n",
       "Service                                                             0,579\n",
       "Name: Albania, dtype: object"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "f6387f4e-a3ad-436b-aaa0-c84401979482",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population  \\\n",
       "Country                                                           \n",
       "Afghanistan           ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania         EASTERN EUROPE                          3581655   \n",
       "Algeria         NORTHERN AFRICA                        32930091   \n",
       "American Samoa  OCEANIA                                   57794   \n",
       "Andorra         WESTERN EUROPE                            71201   \n",
       "...                                             ...         ...   \n",
       "West Bank       NEAR EAST                               2460492   \n",
       "Western Sahara  NORTHERN AFRICA                          273008   \n",
       "Yemen           NEAR EAST                              21456188   \n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010   \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Afghanistan             647500                       48,0   \n",
       "Albania                  28748                      124,6   \n",
       "Algeria                2381740                       13,8   \n",
       "American Samoa             199                      290,4   \n",
       "Andorra                    468                      152,1   \n",
       "...                        ...                        ...   \n",
       "West Bank                 5860                      419,9   \n",
       "Western Sahara          266000                        1,0   \n",
       "Yemen                   527970                       40,6   \n",
       "Zambia                  752614                       15,3   \n",
       "Zimbabwe                390580                       31,3   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Afghanistan                            0,00         23,06   \n",
       "Albania                                1,26         -4,93   \n",
       "Algeria                                0,04         -0,39   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Andorra                                0,00           6,6   \n",
       "...                                     ...           ...   \n",
       "West Bank                              0,00          2,98   \n",
       "Western Sahara                         0,42           NaN   \n",
       "Yemen                                  0,36             0   \n",
       "Zambia                                 0,00             0   \n",
       "Zimbabwe                               0,00             0   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Afghanistan                                163,07               700.0   \n",
       "Albania                                     21,52              4500.0   \n",
       "Algeria                                        31              6000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Andorra                                      4,05             19000.0   \n",
       "...                                           ...                 ...   \n",
       "West Bank                                   19,62               800.0   \n",
       "Western Sahara                                NaN                 NaN   \n",
       "Yemen                                        61,5               800.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Afghanistan            36,0               3,2      12,13      0,22     87,65   \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Andorra               100,0             497,2       2,22         0     97,78   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "West Bank               NaN             145,2       16,9     18,97     64,13   \n",
       "Western Sahara          NaN               NaN       0,02         0     99,98   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Afghanistan          1      46,6     20,34        0,38     0,24    0,38  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Andorra              3      8,71      6,25         NaN      NaN     NaN  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "West Bank            3     31,67      3,92        0,09     0,28    0,63  \n",
       "Western Sahara       1       NaN       NaN         NaN      NaN     0,4  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 19 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "99f3b293-3d91-4362-84eb-d53555cc30ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
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       "      <th>Coastline (coast/area ratio)</th>\n",
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       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
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       "      <th>Country</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population  \\\n",
       "Country                                                           \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805   \n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010   \n",
       "Yemen           NEAR EAST                              21456188   \n",
       "Western Sahara  NORTHERN AFRICA                          273008   \n",
       "West Bank       NEAR EAST                               2460492   \n",
       "...                                             ...         ...   \n",
       "Andorra         WESTERN EUROPE                            71201   \n",
       "American Samoa  OCEANIA                                   57794   \n",
       "Algeria         NORTHERN AFRICA                        32930091   \n",
       "Albania         EASTERN EUROPE                          3581655   \n",
       "Afghanistan           ASIA (EX. NEAR EAST)             31056997   \n",
       "\n",
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Zimbabwe                390580                       31,3   \n",
       "Zambia                  752614                       15,3   \n",
       "Yemen                   527970                       40,6   \n",
       "Western Sahara          266000                        1,0   \n",
       "West Bank                 5860                      419,9   \n",
       "...                        ...                        ...   \n",
       "Andorra                    468                      152,1   \n",
       "American Samoa             199                      290,4   \n",
       "Algeria                2381740                       13,8   \n",
       "Albania                  28748                      124,6   \n",
       "Afghanistan             647500                       48,0   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Zimbabwe                               0,00             0   \n",
       "Zambia                                 0,00             0   \n",
       "Yemen                                  0,36             0   \n",
       "Western Sahara                         0,42           NaN   \n",
       "West Bank                              0,00          2,98   \n",
       "...                                     ...           ...   \n",
       "Andorra                                0,00           6,6   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Algeria                                0,04         -0,39   \n",
       "Albania                                1,26         -4,93   \n",
       "Afghanistan                            0,00         23,06   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Yemen                                        61,5               800.0   \n",
       "Western Sahara                                NaN                 NaN   \n",
       "West Bank                                   19,62               800.0   \n",
       "...                                           ...                 ...   \n",
       "Andorra                                      4,05             19000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Algeria                                        31              6000.0   \n",
       "Albania                                     21,52              4500.0   \n",
       "Afghanistan                                163,07               700.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Western Sahara          NaN               NaN       0,02         0     99,98   \n",
       "West Bank               NaN             145,2       16,9     18,97     64,13   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "Andorra               100,0             497,2       2,22         0     97,78   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Afghanistan            36,0               3,2      12,13      0,22     87,65   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Western Sahara       1       NaN       NaN         NaN      NaN     0,4  \n",
       "West Bank            3     31,67      3,92        0,09     0,28    0,63  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "Andorra              3      8,71      6,25         NaN      NaN     NaN  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Afghanistan          1      46,6     20,34        0,38     0,24    0,38  \n",
       "\n",
       "[227 rows x 19 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_index(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "87804a47-e478-4826-bd26-f9b8ec551972",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
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       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population  \\\n",
       "Country                                                           \n",
       "Afghanistan           ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania         EASTERN EUROPE                          3581655   \n",
       "Algeria         NORTHERN AFRICA                        32930091   \n",
       "American Samoa  OCEANIA                                   57794   \n",
       "Andorra         WESTERN EUROPE                            71201   \n",
       "...                                             ...         ...   \n",
       "West Bank       NEAR EAST                               2460492   \n",
       "Western Sahara  NORTHERN AFRICA                          273008   \n",
       "Yemen           NEAR EAST                              21456188   \n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010   \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Afghanistan             647500                       48,0   \n",
       "Albania                  28748                      124,6   \n",
       "Algeria                2381740                       13,8   \n",
       "American Samoa             199                      290,4   \n",
       "Andorra                    468                      152,1   \n",
       "...                        ...                        ...   \n",
       "West Bank                 5860                      419,9   \n",
       "Western Sahara          266000                        1,0   \n",
       "Yemen                   527970                       40,6   \n",
       "Zambia                  752614                       15,3   \n",
       "Zimbabwe                390580                       31,3   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Afghanistan                            0,00         23,06   \n",
       "Albania                                1,26         -4,93   \n",
       "Algeria                                0,04         -0,39   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Andorra                                0,00           6,6   \n",
       "...                                     ...           ...   \n",
       "West Bank                              0,00          2,98   \n",
       "Western Sahara                         0,42           NaN   \n",
       "Yemen                                  0,36             0   \n",
       "Zambia                                 0,00             0   \n",
       "Zimbabwe                               0,00             0   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Afghanistan                                163,07               700.0   \n",
       "Albania                                     21,52              4500.0   \n",
       "Algeria                                        31              6000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Andorra                                      4,05             19000.0   \n",
       "...                                           ...                 ...   \n",
       "West Bank                                   19,62               800.0   \n",
       "Western Sahara                                NaN                 NaN   \n",
       "Yemen                                        61,5               800.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Afghanistan            36,0               3,2      12,13      0,22     87,65   \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Andorra               100,0             497,2       2,22         0     97,78   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "West Bank               NaN             145,2       16,9     18,97     64,13   \n",
       "Western Sahara          NaN               NaN       0,02         0     99,98   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Afghanistan          1      46,6     20,34        0,38     0,24    0,38  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Andorra              3      8,71      6,25         NaN      NaN     NaN  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "West Bank            3     31,67      3,92        0,09     0,28    0,63  \n",
       "Western Sahara       1       NaN       NaN         NaN      NaN     0,4  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 19 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "ae712d79-9677-4100-9023-4a436886a6b2",
   "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>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
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       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
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       "      <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>Virgin Islands</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>108605</td>\n",
       "      <td>1910</td>\n",
       "      <td>56,9</td>\n",
       "      <td>9,84</td>\n",
       "      <td>-8,94</td>\n",
       "      <td>8,03</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>652,8</td>\n",
       "      <td>11,76</td>\n",
       "      <td>2,94</td>\n",
       "      <td>85,3</td>\n",
       "      <td>2</td>\n",
       "      <td>13,96</td>\n",
       "      <td>6,43</td>\n",
       "      <td>0,01</td>\n",
       "      <td>0,19</td>\n",
       "      <td>0,8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wallis and Futuna</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>16025</td>\n",
       "      <td>274</td>\n",
       "      <td>58,5</td>\n",
       "      <td>47,08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>50,0</td>\n",
       "      <td>118,6</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>225 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Region  Population  \\\n",
       "Country                                                              \n",
       "Afghanistan              ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania            EASTERN EUROPE                          3581655   \n",
       "Algeria            NORTHERN AFRICA                        32930091   \n",
       "American Samoa     OCEANIA                                   57794   \n",
       "Andorra            WESTERN EUROPE                            71201   \n",
       "...                                                ...         ...   \n",
       "Virgin Islands                 LATIN AMER. & CARIB          108605   \n",
       "Wallis and Futuna  OCEANIA                                   16025   \n",
       "West Bank          NEAR EAST                               2460492   \n",
       "Western Sahara     NORTHERN AFRICA                          273008   \n",
       "Zambia             SUB-SAHARAN AFRICA                     11502010   \n",
       "\n",
       "                   Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                        \n",
       "Afghanistan                647500                       48,0   \n",
       "Albania                     28748                      124,6   \n",
       "Algeria                   2381740                       13,8   \n",
       "American Samoa                199                      290,4   \n",
       "Andorra                       468                      152,1   \n",
       "...                           ...                        ...   \n",
       "Virgin Islands               1910                       56,9   \n",
       "Wallis and Futuna             274                       58,5   \n",
       "West Bank                    5860                      419,9   \n",
       "Western Sahara             266000                        1,0   \n",
       "Zambia                     752614                       15,3   \n",
       "\n",
       "                  Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                        \n",
       "Afghanistan                               0,00         23,06   \n",
       "Albania                                   1,26         -4,93   \n",
       "Algeria                                   0,04         -0,39   \n",
       "American Samoa                           58,29        -20,71   \n",
       "Andorra                                   0,00           6,6   \n",
       "...                                        ...           ...   \n",
       "Virgin Islands                            9,84         -8,94   \n",
       "Wallis and Futuna                        47,08           NaN   \n",
       "West Bank                                 0,00          2,98   \n",
       "Western Sahara                            0,42           NaN   \n",
       "Zambia                                    0,00             0   \n",
       "\n",
       "                  Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                    \n",
       "Afghanistan                                   163,07               700.0   \n",
       "Albania                                        21,52              4500.0   \n",
       "Algeria                                           31              6000.0   \n",
       "American Samoa                                  9,27              8000.0   \n",
       "Andorra                                         4,05             19000.0   \n",
       "...                                              ...                 ...   \n",
       "Virgin Islands                                  8,03             17200.0   \n",
       "Wallis and Futuna                                NaN              3700.0   \n",
       "West Bank                                      19,62               800.0   \n",
       "Western Sahara                                   NaN                 NaN   \n",
       "Zambia                                         88,29               800.0   \n",
       "\n",
       "                  Literacy (%) Phones (per 1000) Arable (%) Crops (%)  \\\n",
       "Country                                                                 \n",
       "Afghanistan               36,0               3,2      12,13      0,22   \n",
       "Albania                   86,5              71,2      21,09      4,42   \n",
       "Algeria                   70,0              78,1       3,22      0,25   \n",
       "American Samoa            97,0             259,5         10        15   \n",
       "Andorra                  100,0             497,2       2,22         0   \n",
       "...                        ...               ...        ...       ...   \n",
       "Virgin Islands             NaN             652,8      11,76      2,94   \n",
       "Wallis and Futuna         50,0             118,6          5        25   \n",
       "West Bank                  NaN             145,2       16,9     18,97   \n",
       "Western Sahara             NaN               NaN       0,02         0   \n",
       "Zambia                    80,6               8,2       7,08      0,03   \n",
       "\n",
       "                  Other (%) Climate Birthrate Deathrate Agriculture Industry  \\\n",
       "Country                                                                        \n",
       "Afghanistan           87,65       1      46,6     20,34        0,38     0,24   \n",
       "Albania               74,49       3     15,11      5,22       0,232    0,188   \n",
       "Algeria               96,53       1     17,14      4,61       0,101      0,6   \n",
       "American Samoa           75       2     22,46      3,27         NaN      NaN   \n",
       "Andorra               97,78       3      8,71      6,25         NaN      NaN   \n",
       "...                     ...     ...       ...       ...         ...      ...   \n",
       "Virgin Islands         85,3       2     13,96      6,43        0,01     0,19   \n",
       "Wallis and Futuna        70       2       NaN       NaN         NaN      NaN   \n",
       "West Bank             64,13       3     31,67      3,92        0,09     0,28   \n",
       "Western Sahara        99,98       1       NaN       NaN         NaN      NaN   \n",
       "Zambia                 92,9       2        41     19,93        0,22     0,29   \n",
       "\n",
       "                  Service  \n",
       "Country                    \n",
       "Afghanistan          0,38  \n",
       "Albania             0,579  \n",
       "Algeria             0,298  \n",
       "American Samoa        NaN  \n",
       "Andorra               NaN  \n",
       "...                   ...  \n",
       "Virgin Islands        0,8  \n",
       "Wallis and Futuna     NaN  \n",
       "West Bank            0,63  \n",
       "Western Sahara        0,4  \n",
       "Zambia              0,489  \n",
       "\n",
       "[225 rows x 19 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(['Zimbabwe','Yemen'], axis = 0) #将国家名为Zimbabwe和Yemen的数据删除掉，axis = 0 代表根据行来定位数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "77ce148d-eede-45e7-b021-3de2547c632a",
   "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>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
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       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Afghanistan             647500                       48,0   \n",
       "Albania                  28748                      124,6   \n",
       "Algeria                2381740                       13,8   \n",
       "American Samoa             199                      290,4   \n",
       "Andorra                    468                      152,1   \n",
       "...                        ...                        ...   \n",
       "West Bank                 5860                      419,9   \n",
       "Western Sahara          266000                        1,0   \n",
       "Yemen                   527970                       40,6   \n",
       "Zambia                  752614                       15,3   \n",
       "Zimbabwe                390580                       31,3   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Afghanistan                            0,00         23,06   \n",
       "Albania                                1,26         -4,93   \n",
       "Algeria                                0,04         -0,39   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Andorra                                0,00           6,6   \n",
       "...                                     ...           ...   \n",
       "West Bank                              0,00          2,98   \n",
       "Western Sahara                         0,42           NaN   \n",
       "Yemen                                  0,36             0   \n",
       "Zambia                                 0,00             0   \n",
       "Zimbabwe                               0,00             0   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Afghanistan                                163,07               700.0   \n",
       "Albania                                     21,52              4500.0   \n",
       "Algeria                                        31              6000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Andorra                                      4,05             19000.0   \n",
       "...                                           ...                 ...   \n",
       "West Bank                                   19,62               800.0   \n",
       "Western Sahara                                NaN                 NaN   \n",
       "Yemen                                        61,5               800.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Afghanistan            36,0               3,2      12,13      0,22     87,65   \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Andorra               100,0             497,2       2,22         0     97,78   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "West Bank               NaN             145,2       16,9     18,97     64,13   \n",
       "Western Sahara          NaN               NaN       0,02         0     99,98   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Afghanistan          1      46,6     20,34        0,38     0,24    0,38  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Andorra              3      8,71      6,25         NaN      NaN     NaN  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "West Bank            3     31,67      3,92        0,09     0,28    0,63  \n",
       "Western Sahara       1       NaN       NaN         NaN      NaN     0,4  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 17 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(['Region', 'Population'], axis = 1) # 将Region和Population两列的数据全部删除，axis = 1 代表根据列来定位数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "ab78c6a4-b093-4287-8b7d-410e28fa11a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
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       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
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       "      <th>Industry</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>West Bank</td>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Country                               Region  Population  \\\n",
       "0       Afghanistan        ASIA (EX. NEAR EAST)             31056997   \n",
       "1           Albania  EASTERN EUROPE                          3581655   \n",
       "2           Algeria  NORTHERN AFRICA                        32930091   \n",
       "3    American Samoa  OCEANIA                                   57794   \n",
       "4           Andorra  WESTERN EUROPE                            71201   \n",
       "..              ...                                  ...         ...   \n",
       "222       West Bank  NEAR EAST                               2460492   \n",
       "223  Western Sahara  NORTHERN AFRICA                          273008   \n",
       "224           Yemen  NEAR EAST                              21456188   \n",
       "225          Zambia  SUB-SAHARAN AFRICA                     11502010   \n",
       "226        Zimbabwe  SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "     Area (sq. mi.) Pop. Density (per sq. mi.) Coastline (coast/area ratio)  \\\n",
       "0            647500                       48,0                         0,00   \n",
       "1             28748                      124,6                         1,26   \n",
       "2           2381740                       13,8                         0,04   \n",
       "3               199                      290,4                        58,29   \n",
       "4               468                      152,1                         0,00   \n",
       "..              ...                        ...                          ...   \n",
       "222            5860                      419,9                         0,00   \n",
       "223          266000                        1,0                         0,42   \n",
       "224          527970                       40,6                         0,36   \n",
       "225          752614                       15,3                         0,00   \n",
       "226          390580                       31,3                         0,00   \n",
       "\n",
       "    Net migration Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "0           23,06                             163,07               700.0   \n",
       "1           -4,93                              21,52              4500.0   \n",
       "2           -0,39                                 31              6000.0   \n",
       "3          -20,71                               9,27              8000.0   \n",
       "4             6,6                               4,05             19000.0   \n",
       "..            ...                                ...                 ...   \n",
       "222          2,98                              19,62               800.0   \n",
       "223           NaN                                NaN                 NaN   \n",
       "224             0                               61,5               800.0   \n",
       "225             0                              88,29               800.0   \n",
       "226             0                              67,69              1900.0   \n",
       "\n",
       "    Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%) Climate  \\\n",
       "0           36,0               3,2      12,13      0,22     87,65       1   \n",
       "1           86,5              71,2      21,09      4,42     74,49       3   \n",
       "2           70,0              78,1       3,22      0,25     96,53       1   \n",
       "3           97,0             259,5         10        15        75       2   \n",
       "4          100,0             497,2       2,22         0     97,78       3   \n",
       "..           ...               ...        ...       ...       ...     ...   \n",
       "222          NaN             145,2       16,9     18,97     64,13       3   \n",
       "223          NaN               NaN       0,02         0     99,98       1   \n",
       "224         50,2              37,2       2,78      0,24     96,98       1   \n",
       "225         80,6               8,2       7,08      0,03      92,9       2   \n",
       "226         90,7              26,8       8,32      0,34     91,34       2   \n",
       "\n",
       "    Birthrate Deathrate Agriculture Industry Service  \n",
       "0        46,6     20,34        0,38     0,24    0,38  \n",
       "1       15,11      5,22       0,232    0,188   0,579  \n",
       "2       17,14      4,61       0,101      0,6   0,298  \n",
       "3       22,46      3,27         NaN      NaN     NaN  \n",
       "4        8,71      6,25         NaN      NaN     NaN  \n",
       "..        ...       ...         ...      ...     ...  \n",
       "222     31,67      3,92        0,09     0,28    0,63  \n",
       "223       NaN       NaN         NaN      NaN     0,4  \n",
       "224     42,89       8,3       0,135    0,472   0,393  \n",
       "225        41     19,93        0,22     0,29   0,489  \n",
       "226     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 20 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "4543145c-1327-44ce-8b1c-c8488544c066",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population  \\\n",
       "Country                                                           \n",
       "Afghanistan           ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania         EASTERN EUROPE                          3581655   \n",
       "Algeria         NORTHERN AFRICA                        32930091   \n",
       "American Samoa  OCEANIA                                   57794   \n",
       "Andorra         WESTERN EUROPE                            71201   \n",
       "...                                             ...         ...   \n",
       "West Bank       NEAR EAST                               2460492   \n",
       "Western Sahara  NORTHERN AFRICA                          273008   \n",
       "Yemen           NEAR EAST                              21456188   \n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010   \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Afghanistan             647500                       48,0   \n",
       "Albania                  28748                      124,6   \n",
       "Algeria                2381740                       13,8   \n",
       "American Samoa             199                      290,4   \n",
       "Andorra                    468                      152,1   \n",
       "...                        ...                        ...   \n",
       "West Bank                 5860                      419,9   \n",
       "Western Sahara          266000                        1,0   \n",
       "Yemen                   527970                       40,6   \n",
       "Zambia                  752614                       15,3   \n",
       "Zimbabwe                390580                       31,3   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Afghanistan                            0,00         23,06   \n",
       "Albania                                1,26         -4,93   \n",
       "Algeria                                0,04         -0,39   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Andorra                                0,00           6,6   \n",
       "...                                     ...           ...   \n",
       "West Bank                              0,00          2,98   \n",
       "Western Sahara                         0,42           NaN   \n",
       "Yemen                                  0,36             0   \n",
       "Zambia                                 0,00             0   \n",
       "Zimbabwe                               0,00             0   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Afghanistan                                163,07               700.0   \n",
       "Albania                                     21,52              4500.0   \n",
       "Algeria                                        31              6000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Andorra                                      4,05             19000.0   \n",
       "...                                           ...                 ...   \n",
       "West Bank                                   19,62               800.0   \n",
       "Western Sahara                                NaN                 NaN   \n",
       "Yemen                                        61,5               800.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Afghanistan            36,0               3,2      12,13      0,22     87,65   \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Andorra               100,0             497,2       2,22         0     97,78   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "West Bank               NaN             145,2       16,9     18,97     64,13   \n",
       "Western Sahara          NaN               NaN       0,02         0     99,98   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Afghanistan          1      46,6     20,34        0,38     0,24    0,38  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Andorra              3      8,71      6,25         NaN      NaN     NaN  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "West Bank            3     31,67      3,92        0,09     0,28    0,63  \n",
       "Western Sahara       1       NaN       NaN         NaN      NaN     0,4  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[227 rows x 19 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "01109361-c695-456c-8402-826570a4b807",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Afghanistan       False\n",
       "Albania           False\n",
       "Algeria           False\n",
       "American Samoa    False\n",
       "Andorra           False\n",
       "                  ...  \n",
       "West Bank         False\n",
       "Western Sahara    False\n",
       "Yemen             False\n",
       "Zambia            False\n",
       "Zimbabwe          False\n",
       "Name: Net migration, Length: 227, dtype: bool"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Net migration'] == 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "5e8222e8-c487-4b9c-9026-f4cc4e53dc5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "zero_migration_filter = (df['Net migration'] == '0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "a8c5b13e-a926-4355-8078-bb5befbfc1f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Afghanistan       False\n",
       "Albania           False\n",
       "Algeria           False\n",
       "American Samoa    False\n",
       "Andorra           False\n",
       "                  ...  \n",
       "West Bank         False\n",
       "Western Sahara    False\n",
       "Yemen              True\n",
       "Zambia             True\n",
       "Zimbabwe           True\n",
       "Name: Net migration, Length: 227, dtype: bool"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zero_migration_filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "6229f3d4-c2c6-4caf-be72-29780ca19984",
   "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>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
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       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12127071</td>\n",
       "      <td>1246700</td>\n",
       "      <td>9,7</td>\n",
       "      <td>0,13</td>\n",
       "      <td>0</td>\n",
       "      <td>191,19</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>42,0</td>\n",
       "      <td>7,8</td>\n",
       "      <td>2,41</td>\n",
       "      <td>0,24</td>\n",
       "      <td>97,35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45,11</td>\n",
       "      <td>24,2</td>\n",
       "      <td>0,096</td>\n",
       "      <td>0,658</td>\n",
       "      <td>0,246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aruba</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>71891</td>\n",
       "      <td>193</td>\n",
       "      <td>372,5</td>\n",
       "      <td>35,49</td>\n",
       "      <td>0</td>\n",
       "      <td>5,89</td>\n",
       "      <td>28000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>516,1</td>\n",
       "      <td>10,53</td>\n",
       "      <td>0</td>\n",
       "      <td>89,47</td>\n",
       "      <td>2</td>\n",
       "      <td>11,03</td>\n",
       "      <td>6,68</td>\n",
       "      <td>0,004</td>\n",
       "      <td>0,333</td>\n",
       "      <td>0,663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belize</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>287730</td>\n",
       "      <td>22966</td>\n",
       "      <td>12,5</td>\n",
       "      <td>1,68</td>\n",
       "      <td>0</td>\n",
       "      <td>25,69</td>\n",
       "      <td>4900.0</td>\n",
       "      <td>94,1</td>\n",
       "      <td>115,7</td>\n",
       "      <td>2,85</td>\n",
       "      <td>1,71</td>\n",
       "      <td>95,44</td>\n",
       "      <td>2</td>\n",
       "      <td>28,84</td>\n",
       "      <td>5,72</td>\n",
       "      <td>0,142</td>\n",
       "      <td>0,152</td>\n",
       "      <td>0,612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benin</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>7862944</td>\n",
       "      <td>112620</td>\n",
       "      <td>69,8</td>\n",
       "      <td>0,11</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>40,9</td>\n",
       "      <td>9,7</td>\n",
       "      <td>18,08</td>\n",
       "      <td>2,4</td>\n",
       "      <td>79,52</td>\n",
       "      <td>2</td>\n",
       "      <td>38,85</td>\n",
       "      <td>12,22</td>\n",
       "      <td>0,316</td>\n",
       "      <td>0,138</td>\n",
       "      <td>0,546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bhutan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>2279723</td>\n",
       "      <td>47000</td>\n",
       "      <td>48,5</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>100,44</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>42,2</td>\n",
       "      <td>14,3</td>\n",
       "      <td>3,09</td>\n",
       "      <td>0,43</td>\n",
       "      <td>96,48</td>\n",
       "      <td>2</td>\n",
       "      <td>33,65</td>\n",
       "      <td>12,7</td>\n",
       "      <td>0,258</td>\n",
       "      <td>0,379</td>\n",
       "      <td>0,363</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uganda</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>28195754</td>\n",
       "      <td>236040</td>\n",
       "      <td>119,5</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,83</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>69,9</td>\n",
       "      <td>3,6</td>\n",
       "      <td>25,88</td>\n",
       "      <td>10,65</td>\n",
       "      <td>63,47</td>\n",
       "      <td>2</td>\n",
       "      <td>47,35</td>\n",
       "      <td>12,24</td>\n",
       "      <td>0,311</td>\n",
       "      <td>0,222</td>\n",
       "      <td>0,469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>208869</td>\n",
       "      <td>12200</td>\n",
       "      <td>17,1</td>\n",
       "      <td>20,72</td>\n",
       "      <td>0</td>\n",
       "      <td>55,16</td>\n",
       "      <td>2900.0</td>\n",
       "      <td>53,0</td>\n",
       "      <td>32,6</td>\n",
       "      <td>2,46</td>\n",
       "      <td>7,38</td>\n",
       "      <td>90,16</td>\n",
       "      <td>2</td>\n",
       "      <td>22,72</td>\n",
       "      <td>7,82</td>\n",
       "      <td>0,26</td>\n",
       "      <td>0,12</td>\n",
       "      <td>0,62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>62 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Region  Population  Area (sq. mi.)  \\\n",
       "Country                                                                     \n",
       "Angola    SUB-SAHARAN AFRICA                     12127071         1246700   \n",
       "Aruba                 LATIN AMER. & CARIB           71891             193   \n",
       "Belize                LATIN AMER. & CARIB          287730           22966   \n",
       "Benin     SUB-SAHARAN AFRICA                      7862944          112620   \n",
       "Bhutan          ASIA (EX. NEAR EAST)              2279723           47000   \n",
       "...                                       ...         ...             ...   \n",
       "Uganda    SUB-SAHARAN AFRICA                     28195754          236040   \n",
       "Vanuatu   OCEANIA                                  208869           12200   \n",
       "Yemen     NEAR EAST                              21456188          527970   \n",
       "Zambia    SUB-SAHARAN AFRICA                     11502010          752614   \n",
       "Zimbabwe  SUB-SAHARAN AFRICA                     12236805          390580   \n",
       "\n",
       "         Pop. Density (per sq. mi.) Coastline (coast/area ratio)  \\\n",
       "Country                                                            \n",
       "Angola                          9,7                         0,13   \n",
       "Aruba                         372,5                        35,49   \n",
       "Belize                         12,5                         1,68   \n",
       "Benin                          69,8                         0,11   \n",
       "Bhutan                         48,5                         0,00   \n",
       "...                             ...                          ...   \n",
       "Uganda                        119,5                         0,00   \n",
       "Vanuatu                        17,1                        20,72   \n",
       "Yemen                          40,6                         0,36   \n",
       "Zambia                         15,3                         0,00   \n",
       "Zimbabwe                       31,3                         0,00   \n",
       "\n",
       "         Net migration Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                         \n",
       "Angola               0                             191,19              1900.0   \n",
       "Aruba                0                               5,89             28000.0   \n",
       "Belize               0                              25,69              4900.0   \n",
       "Benin                0                                 85              1100.0   \n",
       "Bhutan               0                             100,44              1300.0   \n",
       "...                ...                                ...                 ...   \n",
       "Uganda               0                              67,83              1400.0   \n",
       "Vanuatu              0                              55,16              2900.0   \n",
       "Yemen                0                               61,5               800.0   \n",
       "Zambia               0                              88,29               800.0   \n",
       "Zimbabwe             0                              67,69              1900.0   \n",
       "\n",
       "         Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                  \n",
       "Angola           42,0               7,8       2,41      0,24     97,35   \n",
       "Aruba            97,0             516,1      10,53         0     89,47   \n",
       "Belize           94,1             115,7       2,85      1,71     95,44   \n",
       "Benin            40,9               9,7      18,08       2,4     79,52   \n",
       "Bhutan           42,2              14,3       3,09      0,43     96,48   \n",
       "...               ...               ...        ...       ...       ...   \n",
       "Uganda           69,9               3,6      25,88     10,65     63,47   \n",
       "Vanuatu          53,0              32,6       2,46      7,38     90,16   \n",
       "Yemen            50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia           80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe         90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "         Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                            \n",
       "Angola       NaN     45,11      24,2       0,096    0,658   0,246  \n",
       "Aruba          2     11,03      6,68       0,004    0,333   0,663  \n",
       "Belize         2     28,84      5,72       0,142    0,152   0,612  \n",
       "Benin          2     38,85     12,22       0,316    0,138   0,546  \n",
       "Bhutan         2     33,65      12,7       0,258    0,379   0,363  \n",
       "...          ...       ...       ...         ...      ...     ...  \n",
       "Uganda         2     47,35     12,24       0,311    0,222   0,469  \n",
       "Vanuatu        2     22,72      7,82        0,26     0,12    0,62  \n",
       "Yemen          1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia         2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe       2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[62 rows x 19 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[zero_migration_filter] # 获得所有0净迁移率国家的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "48e8325f-283e-4ef1-9b31-eb864f79d37a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
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       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>647500</td>\n",
       "      <td>48,0</td>\n",
       "      <td>0,00</td>\n",
       "      <td>23,06</td>\n",
       "      <td>163,07</td>\n",
       "      <td>700.0</td>\n",
       "      <td>36,0</td>\n",
       "      <td>3,2</td>\n",
       "      <td>12,13</td>\n",
       "      <td>0,22</td>\n",
       "      <td>87,65</td>\n",
       "      <td>1</td>\n",
       "      <td>46,6</td>\n",
       "      <td>20,34</td>\n",
       "      <td>0,38</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>468</td>\n",
       "      <td>152,1</td>\n",
       "      <td>0,00</td>\n",
       "      <td>6,6</td>\n",
       "      <td>4,05</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>100,0</td>\n",
       "      <td>497,2</td>\n",
       "      <td>2,22</td>\n",
       "      <td>0</td>\n",
       "      <td>97,78</td>\n",
       "      <td>3</td>\n",
       "      <td>8,71</td>\n",
       "      <td>6,25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>84402966</td>\n",
       "      <td>329560</td>\n",
       "      <td>256,1</td>\n",
       "      <td>1,05</td>\n",
       "      <td>-0,45</td>\n",
       "      <td>25,95</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>90,3</td>\n",
       "      <td>187,7</td>\n",
       "      <td>19,97</td>\n",
       "      <td>5,95</td>\n",
       "      <td>74,08</td>\n",
       "      <td>2</td>\n",
       "      <td>16,86</td>\n",
       "      <td>6,22</td>\n",
       "      <td>0,209</td>\n",
       "      <td>0,41</td>\n",
       "      <td>0,381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>108605</td>\n",
       "      <td>1910</td>\n",
       "      <td>56,9</td>\n",
       "      <td>9,84</td>\n",
       "      <td>-8,94</td>\n",
       "      <td>8,03</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>652,8</td>\n",
       "      <td>11,76</td>\n",
       "      <td>2,94</td>\n",
       "      <td>85,3</td>\n",
       "      <td>2</td>\n",
       "      <td>13,96</td>\n",
       "      <td>6,43</td>\n",
       "      <td>0,01</td>\n",
       "      <td>0,19</td>\n",
       "      <td>0,8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wallis and Futuna</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>16025</td>\n",
       "      <td>274</td>\n",
       "      <td>58,5</td>\n",
       "      <td>47,08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>50,0</td>\n",
       "      <td>118,6</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>5860</td>\n",
       "      <td>419,9</td>\n",
       "      <td>0,00</td>\n",
       "      <td>2,98</td>\n",
       "      <td>19,62</td>\n",
       "      <td>800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145,2</td>\n",
       "      <td>16,9</td>\n",
       "      <td>18,97</td>\n",
       "      <td>64,13</td>\n",
       "      <td>3</td>\n",
       "      <td>31,67</td>\n",
       "      <td>3,92</td>\n",
       "      <td>0,09</td>\n",
       "      <td>0,28</td>\n",
       "      <td>0,63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>266000</td>\n",
       "      <td>1,0</td>\n",
       "      <td>0,42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0</td>\n",
       "      <td>99,98</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0,4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>165 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Region  Population  \\\n",
       "Country                                                              \n",
       "Afghanistan              ASIA (EX. NEAR EAST)             31056997   \n",
       "Albania            EASTERN EUROPE                          3581655   \n",
       "Algeria            NORTHERN AFRICA                        32930091   \n",
       "American Samoa     OCEANIA                                   57794   \n",
       "Andorra            WESTERN EUROPE                            71201   \n",
       "...                                                ...         ...   \n",
       "Vietnam                  ASIA (EX. NEAR EAST)             84402966   \n",
       "Virgin Islands                 LATIN AMER. & CARIB          108605   \n",
       "Wallis and Futuna  OCEANIA                                   16025   \n",
       "West Bank          NEAR EAST                               2460492   \n",
       "Western Sahara     NORTHERN AFRICA                          273008   \n",
       "\n",
       "                   Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                        \n",
       "Afghanistan                647500                       48,0   \n",
       "Albania                     28748                      124,6   \n",
       "Algeria                   2381740                       13,8   \n",
       "American Samoa                199                      290,4   \n",
       "Andorra                       468                      152,1   \n",
       "...                           ...                        ...   \n",
       "Vietnam                    329560                      256,1   \n",
       "Virgin Islands               1910                       56,9   \n",
       "Wallis and Futuna             274                       58,5   \n",
       "West Bank                    5860                      419,9   \n",
       "Western Sahara             266000                        1,0   \n",
       "\n",
       "                  Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                        \n",
       "Afghanistan                               0,00         23,06   \n",
       "Albania                                   1,26         -4,93   \n",
       "Algeria                                   0,04         -0,39   \n",
       "American Samoa                           58,29        -20,71   \n",
       "Andorra                                   0,00           6,6   \n",
       "...                                        ...           ...   \n",
       "Vietnam                                   1,05         -0,45   \n",
       "Virgin Islands                            9,84         -8,94   \n",
       "Wallis and Futuna                        47,08           NaN   \n",
       "West Bank                                 0,00          2,98   \n",
       "Western Sahara                            0,42           NaN   \n",
       "\n",
       "                  Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                    \n",
       "Afghanistan                                   163,07               700.0   \n",
       "Albania                                        21,52              4500.0   \n",
       "Algeria                                           31              6000.0   \n",
       "American Samoa                                  9,27              8000.0   \n",
       "Andorra                                         4,05             19000.0   \n",
       "...                                              ...                 ...   \n",
       "Vietnam                                        25,95              2500.0   \n",
       "Virgin Islands                                  8,03             17200.0   \n",
       "Wallis and Futuna                                NaN              3700.0   \n",
       "West Bank                                      19,62               800.0   \n",
       "Western Sahara                                   NaN                 NaN   \n",
       "\n",
       "                  Literacy (%) Phones (per 1000) Arable (%) Crops (%)  \\\n",
       "Country                                                                 \n",
       "Afghanistan               36,0               3,2      12,13      0,22   \n",
       "Albania                   86,5              71,2      21,09      4,42   \n",
       "Algeria                   70,0              78,1       3,22      0,25   \n",
       "American Samoa            97,0             259,5         10        15   \n",
       "Andorra                  100,0             497,2       2,22         0   \n",
       "...                        ...               ...        ...       ...   \n",
       "Vietnam                   90,3             187,7      19,97      5,95   \n",
       "Virgin Islands             NaN             652,8      11,76      2,94   \n",
       "Wallis and Futuna         50,0             118,6          5        25   \n",
       "West Bank                  NaN             145,2       16,9     18,97   \n",
       "Western Sahara             NaN               NaN       0,02         0   \n",
       "\n",
       "                  Other (%) Climate Birthrate Deathrate Agriculture Industry  \\\n",
       "Country                                                                        \n",
       "Afghanistan           87,65       1      46,6     20,34        0,38     0,24   \n",
       "Albania               74,49       3     15,11      5,22       0,232    0,188   \n",
       "Algeria               96,53       1     17,14      4,61       0,101      0,6   \n",
       "American Samoa           75       2     22,46      3,27         NaN      NaN   \n",
       "Andorra               97,78       3      8,71      6,25         NaN      NaN   \n",
       "...                     ...     ...       ...       ...         ...      ...   \n",
       "Vietnam               74,08       2     16,86      6,22       0,209     0,41   \n",
       "Virgin Islands         85,3       2     13,96      6,43        0,01     0,19   \n",
       "Wallis and Futuna        70       2       NaN       NaN         NaN      NaN   \n",
       "West Bank             64,13       3     31,67      3,92        0,09     0,28   \n",
       "Western Sahara        99,98       1       NaN       NaN         NaN      NaN   \n",
       "\n",
       "                  Service  \n",
       "Country                    \n",
       "Afghanistan          0,38  \n",
       "Albania             0,579  \n",
       "Algeria             0,298  \n",
       "American Samoa        NaN  \n",
       "Andorra               NaN  \n",
       "...                   ...  \n",
       "Vietnam             0,381  \n",
       "Virgin Islands        0,8  \n",
       "Wallis and Futuna     NaN  \n",
       "West Bank            0,63  \n",
       "Western Sahara        0,4  \n",
       "\n",
       "[165 rows x 19 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[~zero_migration_filter] # 获得所有非净迁移率0国家的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4802c679-f917-4bd4-abfe-4ef1e29a3a87",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Birthrate</th>\n",
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       "      <th>Afghanistan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>31056997</td>\n",
       "      <td>46,6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>15,11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>17,14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>22,46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>WESTERN EUROPE</td>\n",
       "      <td>71201</td>\n",
       "      <td>8,71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>84402966</td>\n",
       "      <td>16,86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>108605</td>\n",
       "      <td>13,96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wallis and Futuna</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>16025</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>2460492</td>\n",
       "      <td>31,67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>273008</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>165 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Region  Population Birthrate\n",
       "Country                                                                     \n",
       "Afghanistan              ASIA (EX. NEAR EAST)             31056997      46,6\n",
       "Albania            EASTERN EUROPE                          3581655     15,11\n",
       "Algeria            NORTHERN AFRICA                        32930091     17,14\n",
       "American Samoa     OCEANIA                                   57794     22,46\n",
       "Andorra            WESTERN EUROPE                            71201      8,71\n",
       "...                                                ...         ...       ...\n",
       "Vietnam                  ASIA (EX. NEAR EAST)             84402966     16,86\n",
       "Virgin Islands                 LATIN AMER. & CARIB          108605     13,96\n",
       "Wallis and Futuna  OCEANIA                                   16025       NaN\n",
       "West Bank          NEAR EAST                               2460492     31,67\n",
       "Western Sahara     NORTHERN AFRICA                          273008       NaN\n",
       "\n",
       "[165 rows x 3 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[~zero_migration_filter, ['Region', 'Population', 'Birthrate']] # # 只查看非0净迁移率国家的Region和Populatino列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "a7e59ab8-37cf-4f0d-8693-6977bba23af2",
   "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>Region</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12127071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anguilla</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>13477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>84402966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>108605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population\n",
       "Country                                                        \n",
       "Albania         EASTERN EUROPE                          3581655\n",
       "Algeria         NORTHERN AFRICA                        32930091\n",
       "American Samoa  OCEANIA                                   57794\n",
       "Angola          SUB-SAHARAN AFRICA                     12127071\n",
       "Anguilla                    LATIN AMER. & CARIB           13477\n",
       "...                                             ...         ...\n",
       "Vietnam               ASIA (EX. NEAR EAST)             84402966\n",
       "Virgin Islands              LATIN AMER. & CARIB          108605\n",
       "Yemen           NEAR EAST                              21456188\n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010\n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805\n",
       "\n",
       "[182 rows x 2 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_migration_filter = (df['Net migration'] < '100')\n",
    "df.loc[low_migration_filter, ['Region', 'Population']] # 查看净迁移率小于100的国家信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "35aca8f7-88a4-4183-ada9-f5e2310bf0b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Population</th>\n",
       "      <th>Area (sq. mi.)</th>\n",
       "      <th>Pop. Density (per sq. mi.)</th>\n",
       "      <th>Coastline (coast/area ratio)</th>\n",
       "      <th>Net migration</th>\n",
       "      <th>Infant mortality (per 1000 births)</th>\n",
       "      <th>GDP ($ per capita)</th>\n",
       "      <th>Literacy (%)</th>\n",
       "      <th>Phones (per 1000)</th>\n",
       "      <th>Arable (%)</th>\n",
       "      <th>Crops (%)</th>\n",
       "      <th>Other (%)</th>\n",
       "      <th>Climate</th>\n",
       "      <th>Birthrate</th>\n",
       "      <th>Deathrate</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Service</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "      <td>3581655</td>\n",
       "      <td>28748</td>\n",
       "      <td>124,6</td>\n",
       "      <td>1,26</td>\n",
       "      <td>-4,93</td>\n",
       "      <td>21,52</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>86,5</td>\n",
       "      <td>71,2</td>\n",
       "      <td>21,09</td>\n",
       "      <td>4,42</td>\n",
       "      <td>74,49</td>\n",
       "      <td>3</td>\n",
       "      <td>15,11</td>\n",
       "      <td>5,22</td>\n",
       "      <td>0,232</td>\n",
       "      <td>0,188</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "      <td>32930091</td>\n",
       "      <td>2381740</td>\n",
       "      <td>13,8</td>\n",
       "      <td>0,04</td>\n",
       "      <td>-0,39</td>\n",
       "      <td>31</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>70,0</td>\n",
       "      <td>78,1</td>\n",
       "      <td>3,22</td>\n",
       "      <td>0,25</td>\n",
       "      <td>96,53</td>\n",
       "      <td>1</td>\n",
       "      <td>17,14</td>\n",
       "      <td>4,61</td>\n",
       "      <td>0,101</td>\n",
       "      <td>0,6</td>\n",
       "      <td>0,298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "      <td>57794</td>\n",
       "      <td>199</td>\n",
       "      <td>290,4</td>\n",
       "      <td>58,29</td>\n",
       "      <td>-20,71</td>\n",
       "      <td>9,27</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>97,0</td>\n",
       "      <td>259,5</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>22,46</td>\n",
       "      <td>3,27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12127071</td>\n",
       "      <td>1246700</td>\n",
       "      <td>9,7</td>\n",
       "      <td>0,13</td>\n",
       "      <td>0</td>\n",
       "      <td>191,19</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>42,0</td>\n",
       "      <td>7,8</td>\n",
       "      <td>2,41</td>\n",
       "      <td>0,24</td>\n",
       "      <td>97,35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45,11</td>\n",
       "      <td>24,2</td>\n",
       "      <td>0,096</td>\n",
       "      <td>0,658</td>\n",
       "      <td>0,246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anguilla</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>13477</td>\n",
       "      <td>102</td>\n",
       "      <td>132,1</td>\n",
       "      <td>59,80</td>\n",
       "      <td>10,76</td>\n",
       "      <td>21,03</td>\n",
       "      <td>8600.0</td>\n",
       "      <td>95,0</td>\n",
       "      <td>460,0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>2</td>\n",
       "      <td>14,17</td>\n",
       "      <td>5,34</td>\n",
       "      <td>0,04</td>\n",
       "      <td>0,18</td>\n",
       "      <td>0,78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "      <td>84402966</td>\n",
       "      <td>329560</td>\n",
       "      <td>256,1</td>\n",
       "      <td>1,05</td>\n",
       "      <td>-0,45</td>\n",
       "      <td>25,95</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>90,3</td>\n",
       "      <td>187,7</td>\n",
       "      <td>19,97</td>\n",
       "      <td>5,95</td>\n",
       "      <td>74,08</td>\n",
       "      <td>2</td>\n",
       "      <td>16,86</td>\n",
       "      <td>6,22</td>\n",
       "      <td>0,209</td>\n",
       "      <td>0,41</td>\n",
       "      <td>0,381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "      <td>108605</td>\n",
       "      <td>1910</td>\n",
       "      <td>56,9</td>\n",
       "      <td>9,84</td>\n",
       "      <td>-8,94</td>\n",
       "      <td>8,03</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>652,8</td>\n",
       "      <td>11,76</td>\n",
       "      <td>2,94</td>\n",
       "      <td>85,3</td>\n",
       "      <td>2</td>\n",
       "      <td>13,96</td>\n",
       "      <td>6,43</td>\n",
       "      <td>0,01</td>\n",
       "      <td>0,19</td>\n",
       "      <td>0,8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "      <td>21456188</td>\n",
       "      <td>527970</td>\n",
       "      <td>40,6</td>\n",
       "      <td>0,36</td>\n",
       "      <td>0</td>\n",
       "      <td>61,5</td>\n",
       "      <td>800.0</td>\n",
       "      <td>50,2</td>\n",
       "      <td>37,2</td>\n",
       "      <td>2,78</td>\n",
       "      <td>0,24</td>\n",
       "      <td>96,98</td>\n",
       "      <td>1</td>\n",
       "      <td>42,89</td>\n",
       "      <td>8,3</td>\n",
       "      <td>0,135</td>\n",
       "      <td>0,472</td>\n",
       "      <td>0,393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>11502010</td>\n",
       "      <td>752614</td>\n",
       "      <td>15,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>88,29</td>\n",
       "      <td>800.0</td>\n",
       "      <td>80,6</td>\n",
       "      <td>8,2</td>\n",
       "      <td>7,08</td>\n",
       "      <td>0,03</td>\n",
       "      <td>92,9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>19,93</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,29</td>\n",
       "      <td>0,489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "      <td>12236805</td>\n",
       "      <td>390580</td>\n",
       "      <td>31,3</td>\n",
       "      <td>0,00</td>\n",
       "      <td>0</td>\n",
       "      <td>67,69</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>90,7</td>\n",
       "      <td>26,8</td>\n",
       "      <td>8,32</td>\n",
       "      <td>0,34</td>\n",
       "      <td>91,34</td>\n",
       "      <td>2</td>\n",
       "      <td>28,01</td>\n",
       "      <td>21,84</td>\n",
       "      <td>0,179</td>\n",
       "      <td>0,243</td>\n",
       "      <td>0,579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region  Population  \\\n",
       "Country                                                           \n",
       "Albania         EASTERN EUROPE                          3581655   \n",
       "Algeria         NORTHERN AFRICA                        32930091   \n",
       "American Samoa  OCEANIA                                   57794   \n",
       "Angola          SUB-SAHARAN AFRICA                     12127071   \n",
       "Anguilla                    LATIN AMER. & CARIB           13477   \n",
       "...                                             ...         ...   \n",
       "Vietnam               ASIA (EX. NEAR EAST)             84402966   \n",
       "Virgin Islands              LATIN AMER. & CARIB          108605   \n",
       "Yemen           NEAR EAST                              21456188   \n",
       "Zambia          SUB-SAHARAN AFRICA                     11502010   \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                     12236805   \n",
       "\n",
       "                Area (sq. mi.) Pop. Density (per sq. mi.)  \\\n",
       "Country                                                     \n",
       "Albania                  28748                      124,6   \n",
       "Algeria                2381740                       13,8   \n",
       "American Samoa             199                      290,4   \n",
       "Angola                 1246700                        9,7   \n",
       "Anguilla                   102                      132,1   \n",
       "...                        ...                        ...   \n",
       "Vietnam                 329560                      256,1   \n",
       "Virgin Islands            1910                       56,9   \n",
       "Yemen                   527970                       40,6   \n",
       "Zambia                  752614                       15,3   \n",
       "Zimbabwe                390580                       31,3   \n",
       "\n",
       "               Coastline (coast/area ratio) Net migration  \\\n",
       "Country                                                     \n",
       "Albania                                1,26         -4,93   \n",
       "Algeria                                0,04         -0,39   \n",
       "American Samoa                        58,29        -20,71   \n",
       "Angola                                 0,13             0   \n",
       "Anguilla                              59,80         10,76   \n",
       "...                                     ...           ...   \n",
       "Vietnam                                1,05         -0,45   \n",
       "Virgin Islands                         9,84         -8,94   \n",
       "Yemen                                  0,36             0   \n",
       "Zambia                                 0,00             0   \n",
       "Zimbabwe                               0,00             0   \n",
       "\n",
       "               Infant mortality (per 1000 births)  GDP ($ per capita)  \\\n",
       "Country                                                                 \n",
       "Albania                                     21,52              4500.0   \n",
       "Algeria                                        31              6000.0   \n",
       "American Samoa                               9,27              8000.0   \n",
       "Angola                                     191,19              1900.0   \n",
       "Anguilla                                    21,03              8600.0   \n",
       "...                                           ...                 ...   \n",
       "Vietnam                                     25,95              2500.0   \n",
       "Virgin Islands                               8,03             17200.0   \n",
       "Yemen                                        61,5               800.0   \n",
       "Zambia                                      88,29               800.0   \n",
       "Zimbabwe                                    67,69              1900.0   \n",
       "\n",
       "               Literacy (%) Phones (per 1000) Arable (%) Crops (%) Other (%)  \\\n",
       "Country                                                                        \n",
       "Albania                86,5              71,2      21,09      4,42     74,49   \n",
       "Algeria                70,0              78,1       3,22      0,25     96,53   \n",
       "American Samoa         97,0             259,5         10        15        75   \n",
       "Angola                 42,0               7,8       2,41      0,24     97,35   \n",
       "Anguilla               95,0             460,0          0         0       100   \n",
       "...                     ...               ...        ...       ...       ...   \n",
       "Vietnam                90,3             187,7      19,97      5,95     74,08   \n",
       "Virgin Islands          NaN             652,8      11,76      2,94      85,3   \n",
       "Yemen                  50,2              37,2       2,78      0,24     96,98   \n",
       "Zambia                 80,6               8,2       7,08      0,03      92,9   \n",
       "Zimbabwe               90,7              26,8       8,32      0,34     91,34   \n",
       "\n",
       "               Climate Birthrate Deathrate Agriculture Industry Service  \n",
       "Country                                                                  \n",
       "Albania              3     15,11      5,22       0,232    0,188   0,579  \n",
       "Algeria              1     17,14      4,61       0,101      0,6   0,298  \n",
       "American Samoa       2     22,46      3,27         NaN      NaN     NaN  \n",
       "Angola             NaN     45,11      24,2       0,096    0,658   0,246  \n",
       "Anguilla             2     14,17      5,34        0,04     0,18    0,78  \n",
       "...                ...       ...       ...         ...      ...     ...  \n",
       "Vietnam              2     16,86      6,22       0,209     0,41   0,381  \n",
       "Virgin Islands       2     13,96      6,43        0,01     0,19     0,8  \n",
       "Yemen                1     42,89       8,3       0,135    0,472   0,393  \n",
       "Zambia               2        41     19,93        0,22     0,29   0,489  \n",
       "Zimbabwe             2     28,01     21,84       0,179    0,243   0,579  \n",
       "\n",
       "[182 rows x 19 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[low_migration_filter]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "399e7a04-3048-4961-9e59-bb7046697b8c",
   "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",
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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>Region</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>EASTERN EUROPE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>NORTHERN AFRICA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>OCEANIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Angola</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anguilla</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>LATIN AMER. &amp; CARIB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>NEAR EAST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>SUB-SAHARAN AFRICA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Region\n",
       "Country                                            \n",
       "Albania         EASTERN EUROPE                     \n",
       "Algeria         NORTHERN AFRICA                    \n",
       "American Samoa  OCEANIA                            \n",
       "Angola          SUB-SAHARAN AFRICA                 \n",
       "Anguilla                    LATIN AMER. & CARIB    \n",
       "...                                             ...\n",
       "Vietnam               ASIA (EX. NEAR EAST)         \n",
       "Virgin Islands              LATIN AMER. & CARIB    \n",
       "Yemen           NEAR EAST                          \n",
       "Zambia          SUB-SAHARAN AFRICA                 \n",
       "Zimbabwe        SUB-SAHARAN AFRICA                 \n",
       "\n",
       "[182 rows x 1 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[low_migration_filter, ['Region']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "2cc74a9b-4bee-4c7c-87b0-6f939c98abcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region                                ASIA (EX. NEAR EAST)         \n",
       "Population                                               1313973713\n",
       "Area (sq. mi.)                                              9596960\n",
       "Pop. Density (per sq. mi.)                                    136,9\n",
       "Coastline (coast/area ratio)                                   0,15\n",
       "Net migration                                                  -0,4\n",
       "Infant mortality (per 1000 births)                            24,18\n",
       "GDP ($ per capita)                                           5000.0\n",
       "Literacy (%)                                                   90,9\n",
       "Phones (per 1000)                                             266,7\n",
       "Arable (%)                                                     15,4\n",
       "Crops (%)                                                      1,25\n",
       "Other (%)                                                     83,35\n",
       "Climate                                                         1,5\n",
       "Birthrate                                                     13,25\n",
       "Deathrate                                                      6,97\n",
       "Agriculture                                                   0,125\n",
       "Industry                                                      0,473\n",
       "Service                                                       0,403\n",
       "Name: China, dtype: object"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[\"China\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "bf6893d9-6c66-449a-a001-43c7643d74aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Afghanistan             ASIA (EX. NEAR EAST)         \n",
       "Albania           EASTERN EUROPE                     \n",
       "Algeria           NORTHERN AFRICA                    \n",
       "American Samoa    OCEANIA                            \n",
       "Andorra           WESTERN EUROPE                     \n",
       "                                 ...                 \n",
       "West Bank         NEAR EAST                          \n",
       "Western Sahara    NORTHERN AFRICA                    \n",
       "Yemen             NEAR EAST                          \n",
       "Zambia            SUB-SAHARAN AFRICA                 \n",
       "Zimbabwe          SUB-SAHARAN AFRICA                 \n",
       "Name: Region, Length: 227, dtype: object"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Region']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "3d28e5e7-d3a3-4544-8083-62572fca7891",
   "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",
       "\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>Deathrate</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Afghanistan</th>\n",
       "      <td>20,34</td>\n",
       "      <td>31056997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>5,22</td>\n",
       "      <td>3581655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>4,61</td>\n",
       "      <td>32930091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>3,27</td>\n",
       "      <td>57794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>6,25</td>\n",
       "      <td>71201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Bank</th>\n",
       "      <td>3,92</td>\n",
       "      <td>2460492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Western Sahara</th>\n",
       "      <td>NaN</td>\n",
       "      <td>273008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yemen</th>\n",
       "      <td>8,3</td>\n",
       "      <td>21456188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>19,93</td>\n",
       "      <td>11502010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>21,84</td>\n",
       "      <td>12236805</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Deathrate  Population\n",
       "Country                             \n",
       "Afghanistan        20,34    31056997\n",
       "Albania             5,22     3581655\n",
       "Algeria             4,61    32930091\n",
       "American Samoa      3,27       57794\n",
       "Andorra             6,25       71201\n",
       "...                  ...         ...\n",
       "West Bank           3,92     2460492\n",
       "Western Sahara       NaN      273008\n",
       "Yemen                8,3    21456188\n",
       "Zambia             19,93    11502010\n",
       "Zimbabwe           21,84    12236805\n",
       "\n",
       "[227 rows x 2 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Deathrate', 'Population']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "61bf650c-1403-4305-8630-7f84b37bd5a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "and_filter = (df['Deathrate'] > '1000') & (df['Population'] < 10000) #AND条件，同时满足Deathrate大于'1000'，人口小于 10000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "a2455b87-de1d-4397-b6b9-7b43f29a4850",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Montserrat                          LATIN AMER. & CARIB    \n",
       "Saint Helena            SUB-SAHARAN AFRICA                 \n",
       "St Pierre & Miquelon    NORTHERN AMERICA                   \n",
       "Name: Region, dtype: object"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[and_filter, 'Region']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "3ea2464d-a0c2-4eee-a04d-a39ced780aa4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Afghanistan       20,34\n",
       "Albania            5,22\n",
       "Algeria            4,61\n",
       "American Samoa     3,27\n",
       "Andorra            6,25\n",
       "                  ...  \n",
       "West Bank          3,92\n",
       "Western Sahara      NaN\n",
       "Yemen               8,3\n",
       "Zambia            19,93\n",
       "Zimbabwe          21,84\n",
       "Name: Deathrate, Length: 227, dtype: object"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Deathrate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "df84503a-3c6d-4a56-82d8-c4c2df589b03",
   "metadata": {},
   "outputs": [],
   "source": [
    "countries = ['China', 'Japan', 'United States', 'India']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "2c09c01c-890b-4aa6-9bcb-5e57ee496ef5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>NORTHERN AMERICA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Region\n",
       "Country                                           \n",
       "China                ASIA (EX. NEAR EAST)         \n",
       "Japan                ASIA (EX. NEAR EAST)         \n",
       "United States  NORTHERN AMERICA                   \n",
       "India                ASIA (EX. NEAR EAST)         "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[countries, ['Region']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "0be3d791-6b9d-4bda-ac62-0d5ae3680e83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>Population</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>1313973713</td>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>127463611</td>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>298444215</td>\n",
       "      <td>NORTHERN AMERICA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>1095351995</td>\n",
       "      <td>ASIA (EX. NEAR EAST)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "               Population                               Region\n",
       "Country                                                       \n",
       "China          1313973713        ASIA (EX. NEAR EAST)         \n",
       "Japan           127463611        ASIA (EX. NEAR EAST)         \n",
       "United States   298444215  NORTHERN AMERICA                   \n",
       "India          1095351995        ASIA (EX. NEAR EAST)         "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[countries, [\"Population\", 'Region']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "09700414-624f-409e-a06f-a94079656264",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14       Bahamas, The\n",
       "15            Bahrain\n",
       "16         Bangladesh\n",
       "17           Barbados\n",
       "18            Belarus\n",
       "            ...      \n",
       "222         West Bank\n",
       "223    Western Sahara\n",
       "224             Yemen\n",
       "225            Zambia\n",
       "226          Zimbabwe\n",
       "Name: Country, Length: 208, dtype: object"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.reset_index(inplace = True)\n",
    "str_filter = df['Country'].str.contains('A')\n",
    "df.loc[~str_filter, 'Country'] # 获得所有国家名字中不包含字母A的国家名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "6ba3549c-26a0-4f9a-ba85-e1db6f825f85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14          Bahamas, The\n",
       "15               Bahrain\n",
       "16            Bangladesh\n",
       "17              Barbados\n",
       "18               Belarus\n",
       "             ...        \n",
       "220       Virgin Islands\n",
       "221    Wallis and Futuna\n",
       "222            West Bank\n",
       "223       Western Sahara\n",
       "224                Yemen\n",
       "Name: Country, Length: 205, dtype: object"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_filter2 = df['Country'].str.contains('A|Z')\n",
    "df.loc[~str_filter2, 'Country'] # 获得所有国家名字中既不包含A也不包含Z的国家名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "63863f92-4938-4905-ad80-ade80aa75fbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "89              Haiti\n",
       "90           Honduras\n",
       "91          Hong Kong\n",
       "92            Hungary\n",
       "93            Iceland\n",
       "            ...      \n",
       "220    Virgin Islands\n",
       "223    Western Sahara\n",
       "224             Yemen\n",
       "225            Zambia\n",
       "226          Zimbabwe\n",
       "Name: Country, Length: 127, dtype: object"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_filter2 = df['Country'].str.contains('A|B|C|D|E|F|G')\n",
    "df.loc[~str_filter2, 'Country'] # 获得所有国家名字中不包含A到G的国家名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "902a13c0-ed04-465a-8287-9c5920b793da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52    Cyprus\n",
       "Name: Country, dtype: object"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_filter3 = df['Country'].str.contains('[a-m]')\n",
    "df.loc[~str_filter3, 'Country'] # 获得国家名中不包含小写字母a到m的国家名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "c8ced5e4-fe40-42ab-9a9c-cc80cde0bad5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "225      Zambia\n",
       "226    Zimbabwe\n",
       "Name: Country, dtype: object"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str_filter3 = df['Country'].str.contains('[A-Y]')\n",
    "df.loc[~str_filter3, 'Country'] # 获得国家名中不包含大写字母A到 Y的国家名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "cd3a1557-3023-40d5-98f1-a4f2f53b8f90",
   "metadata": {},
   "outputs": [],
   "source": [
    "#作业：\n",
    "#只获取Population大于10000且Climate大于3的国家"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "5364d2f9-3a22-4b6d-ac2c-390863bde49d",
   "metadata": {},
   "outputs": [],
   "source": [
    "home_work_filter = (df['Population'] > 10000) & (df['Climate'] > '3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "1a451848-a261-44a8-8001-9606c3632d65",
   "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>Population</th>\n",
       "      <th>Climate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>2976372</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Belarus</th>\n",
       "      <td>10293011</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bosnia &amp; Herzegovina</th>\n",
       "      <td>4498976</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>60876136</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kazakhstan</th>\n",
       "      <td>15233244</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liechtenstein</th>\n",
       "      <td>33987</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Population Climate\n",
       "Country                                 \n",
       "Armenia                  2976372       4\n",
       "Belarus                 10293011       4\n",
       "Bosnia & Herzegovina     4498976       4\n",
       "France                  60876136       4\n",
       "Kazakhstan              15233244       4\n",
       "Liechtenstein              33987       4"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[home_work_filter, ['Country', 'Population', 'Climate']].set_index(['Country'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "5dca6a42-78e5-4d88-850c-e7d88a4ff0e8",
   "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>Country</th>\n",
       "      <th>Population</th>\n",
       "      <th>Climate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>2976372</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>10293011</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bosnia &amp; Herzegovina</td>\n",
       "      <td>4498976</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>France</td>\n",
       "      <td>60876136</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>15233244</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>33987</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Country  Population Climate\n",
       "9                 Armenia     2976372       4\n",
       "18                Belarus    10293011       4\n",
       "25   Bosnia & Herzegovina     4498976       4\n",
       "69                 France    60876136       4\n",
       "106            Kazakhstan    15233244       4\n",
       "119         Liechtenstein       33987       4"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[home_work_filter, ['Country', 'Population', 'Climate']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "53e2b20a-7d28-4522-a0c7-5d2b41d95983",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Country'>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc[home_work_filter, ['Country', 'Population', 'Climate']].plot(x='Country', y='Population')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "308b100d-4b25-447c-ba52-19081025dfe4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e79b0e19-3c47-406c-aa69-fb8e0064d53d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b380190-b140-462a-90a2-bdec94584e18",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}