"Le but est ici de reproduire des graphes semblables à ceux du [South China Morning Post](https://www.scmp.com/) (SCMP), sur la page [The Coronavirus Pandemic](https://www.scmp.com/coronavirus?src=homepage_covid_widget) et qui montrent pour différents pays le nombre cumulé (c’est-à-dire le nombre total de cas depuis le début de l’épidémie) de personnes atteintes de la [maladie à coronavirus 2019](https://fr.wikipedia.org/wiki/Maladie_%C3%A0_coronavirus_2019).\n",
"\n",
"Les données que nous utiliserons dans un premier temps sont compilées par le [Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)](https://systems.jhu.edu/) et sont mises à disposition sur [GitHub](https://github.com/CSSEGISandData/COVID-19). C'est plus particulièrement sur les données `time_series_covid19_confirmed_global.csv` (des suites chronologiques au format csv) disponibles [ici](https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv) que nous allons nous concentrer."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Téléchargement des données\n",
"\n",
"Les données relevées sont stockées dans un fichier. Celles-ci sont à la date du 22 juin 2021."
"On s'intéressera ici spécifiquement aux données de la **Belgique**, la **Chine** (en traitant **Hong-Kong** à part), la **France métroploitaine**, l'**Allemagne**, l'**Iran**, l'**Italie**, le **Japon**, la **Corée du Sud**, les **Pays-Bas** (*hors colonies*), le **Portugal**, l'**Espagne**, le **Royaume-Uni** (*hors colonies*) et les **États-Unis**.\n",
"\n",
"[//]: # \"Initialement, il est demandé de tenir compte également de la **Chine** (en traitant **Hong-Kong** à part). Cependant, et comme on peut le voir juste au dessus, le format utilisé pour le fichier `.csv` traite chacune des 34 provinces chinoises à part, avec aucune donnée générale sur la Chine. Plusieurs choix s'offrent à nous : reconstituer une ligne *globale* pour ce pays en mélangeant **toutes** ses provinces, faire la même chose en gardant de côté **Hong-Kong** pour coller à la consigne ou se simplifier la vie en mettant de côté les données chinoises.\"\n",
"\n",
"[//]: # \"Je choisis cette dernière options pour plusieurs raisons. La première, et plus évidente, est la facilité : je ne pense pas parvenir à mélanger toutes les provinces de la Chine efficacement/élégamment, et suis presque certain d'effectuer une erreur en m'y frottant. Par ailleurs, on remarque en lisant l'énoncé de cet exercice :\"\n",
"\n",
"[//]: # \"> Les données de la Chine apparaissent par province et nous avons séparé Hong-Kong, non pour prendre parti dans les différences entre cette province et l’état chinois, mais parce que c’est ainsi qu’apparaissent les données sur le site du SCMP.\"\n",
"\n",
"[//]: # \"Ce qui laisse penser que cette difficulté n'est pas initialement prévue, et que la consigne initiale est tournée de manière à ne pas devoir réaliser de fusion de lignes. Pour toutes ces raisons, laisser de côté les données pour la **Chine** me semble à la fois bien plus judicieux en terme de temps, mais aussi plus proche de l'intention initiale de la consigne.\""
"Pour tous les pays - sauf la Chine - les données hors provinces/colonies présentent `NaN` dans leur colonne `Province/State`. On peut donc récupérer d'une part toutes les données chinoises, et d'autre part les données des autres pays."
]
},
{
"cell_type": "code",
"execution_count": 4,
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" <th></th>\n",
" <th>Province/State</th>\n",
" <th>Country/Region</th>\n",
" <th>Lat</th>\n",
" <th>Long</th>\n",
" <th>1/22/20</th>\n",
" <th>1/23/20</th>\n",
" <th>1/24/20</th>\n",
" <th>1/25/20</th>\n",
" <th>1/26/20</th>\n",
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" <th>6/15/21</th>\n",
" <th>6/16/21</th>\n",
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" <th>6/19/21</th>\n",
" <th>6/20/21</th>\n",
" <th>6/21/21</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>Anhui</td>\n",
" <td>China</td>\n",
" <td>31.8257</td>\n",
" <td>117.2264</td>\n",
" <td>1</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>39</td>\n",
" <td>60</td>\n",
" <td>70</td>\n",
" <td>...</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" <td>1004</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>Beijing</td>\n",
" <td>China</td>\n",
" <td>40.1824</td>\n",
" <td>116.4142</td>\n",
" <td>14</td>\n",
" <td>22</td>\n",
" <td>36</td>\n",
" <td>41</td>\n",
" <td>68</td>\n",
" <td>80</td>\n",
" <td>...</td>\n",
" <td>1069</td>\n",
" <td>1070</td>\n",
" <td>1071</td>\n",
" <td>1071</td>\n",
" <td>1072</td>\n",
" <td>1072</td>\n",
" <td>1073</td>\n",
" <td>1073</td>\n",
" <td>1075</td>\n",
" <td>1075</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>Chongqing</td>\n",
" <td>China</td>\n",
" <td>30.0572</td>\n",
" <td>107.8740</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" <td>27</td>\n",
" <td>57</td>\n",
" <td>75</td>\n",
" <td>110</td>\n",
" <td>...</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" <td>598</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>Fujian</td>\n",
" <td>China</td>\n",
" <td>26.0789</td>\n",
" <td>117.9874</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>10</td>\n",
" <td>18</td>\n",
" <td>35</td>\n",
" <td>59</td>\n",
" <td>...</td>\n",
" <td>637</td>\n",
" <td>637</td>\n",
" <td>638</td>\n",
" <td>638</td>\n",
" <td>641</td>\n",
" <td>646</td>\n",
" <td>650</td>\n",
" <td>651</td>\n",
" <td>652</td>\n",
" <td>659</td>\n",
" </tr>\n",
" <tr>\n",
" <th>62</th>\n",
" <td>Gansu</td>\n",
" <td>China</td>\n",
" <td>35.7518</td>\n",
" <td>104.2861</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>14</td>\n",
" <td>...</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" <td>194</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <td>Guangdong</td>\n",
" <td>China</td>\n",
" <td>23.3417</td>\n",
" <td>113.4244</td>\n",
" <td>26</td>\n",
" <td>32</td>\n",
" <td>53</td>\n",
" <td>78</td>\n",
" <td>111</td>\n",
" <td>151</td>\n",
" <td>...</td>\n",
" <td>2618</td>\n",
" <td>2625</td>\n",
" <td>2635</td>\n",
" <td>2650</td>\n",
" <td>2657</td>\n",
" <td>2666</td>\n",
" <td>2680</td>\n",
" <td>2692</td>\n",
" <td>2699</td>\n",
" <td>2706</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>Guangxi</td>\n",
" <td>China</td>\n",
" <td>23.8298</td>\n",
" <td>108.7881</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" <td>36</td>\n",
" <td>46</td>\n",
" <td>...</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" <td>275</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>Guizhou</td>\n",
" <td>China</td>\n",
" <td>26.8154</td>\n",
" <td>106.8748</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>...</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>Hainan</td>\n",
" <td>China</td>\n",
" <td>19.1959</td>\n",
" <td>109.7453</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>19</td>\n",
" <td>22</td>\n",
" <td>33</td>\n",
" <td>...</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" <td>188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td>Hebei</td>\n",
" <td>China</td>\n",
" <td>39.5490</td>\n",
" <td>116.1306</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>13</td>\n",
" <td>18</td>\n",
" <td>...</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>Heilongjiang</td>\n",
" <td>China</td>\n",
" <td>47.8620</td>\n",
" <td>127.7615</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>21</td>\n",
" <td>...</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" <td>1612</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>Henan</td>\n",
" <td>China</td>\n",
" <td>37.8957</td>\n",
" <td>114.9042</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>9</td>\n",
" <td>32</td>\n",
" <td>83</td>\n",
" <td>128</td>\n",
" <td>...</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1316</td>\n",
" <td>1317</td>\n",
" <td>1317</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>Hong Kong</td>\n",
" <td>China</td>\n",
" <td>22.3000</td>\n",
" <td>114.2000</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>...</td>\n",
" <td>11877</td>\n",
" <td>11877</td>\n",
" <td>11878</td>\n",
" <td>11880</td>\n",
" <td>11881</td>\n",
" <td>11881</td>\n",
" <td>11884</td>\n",
" <td>11885</td>\n",
" <td>11886</td>\n",
" <td>11889</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>Hubei</td>\n",
" <td>China</td>\n",
" <td>30.9756</td>\n",
" <td>112.2707</td>\n",
" <td>444</td>\n",
" <td>444</td>\n",
" <td>549</td>\n",
" <td>761</td>\n",
" <td>1058</td>\n",
" <td>1423</td>\n",
" <td>...</td>\n",
" <td>68159</td>\n",
" <td>68159</td>\n",
" <td>68159</td>\n",
" <td>68159</td>\n",
" <td>68160</td>\n",
" <td>68160</td>\n",
" <td>68160</td>\n",
" <td>68160</td>\n",
" <td>68160</td>\n",
" <td>68160</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>Hunan</td>\n",
" <td>China</td>\n",
" <td>27.6104</td>\n",
" <td>111.7088</td>\n",
" <td>4</td>\n",
" <td>9</td>\n",
" <td>24</td>\n",
" <td>43</td>\n",
" <td>69</td>\n",
" <td>100</td>\n",
" <td>...</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" <td>1051</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>Inner Mongolia</td>\n",
" <td>China</td>\n",
" <td>44.0935</td>\n",
" <td>113.9448</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>11</td>\n",
" <td>...</td>\n",
" <td>390</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>393</td>\n",
" <td>394</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>Jiangsu</td>\n",
" <td>China</td>\n",
" <td>32.9711</td>\n",
" <td>119.4550</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>9</td>\n",
" <td>18</td>\n",
" <td>33</td>\n",
" <td>47</td>\n",
" <td>...</td>\n",
" <td>735</td>\n",
" <td>736</td>\n",
" <td>736</td>\n",
" <td>738</td>\n",
" <td>739</td>\n",
" <td>739</td>\n",
" <td>739</td>\n",
" <td>739</td>\n",
" <td>740</td>\n",
" <td>740</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td>Jiangxi</td>\n",
" <td>China</td>\n",
" <td>27.6140</td>\n",
" <td>115.7221</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>36</td>\n",
" <td>72</td>\n",
" <td>...</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" <td>937</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>Jilin</td>\n",
" <td>China</td>\n",
" <td>43.6661</td>\n",
" <td>126.1923</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>6</td>\n",
" <td>...</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" <td>573</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77</th>\n",
" <td>Liaoning</td>\n",
" <td>China</td>\n",
" <td>41.2956</td>\n",
" <td>122.6085</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>17</td>\n",
" <td>21</td>\n",
" <td>27</td>\n",
" <td>...</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" <td>426</td>\n",
" </tr>\n",
" <tr>\n",
" <th>78</th>\n",
" <td>Macau</td>\n",
" <td>China</td>\n",
" <td>22.1667</td>\n",
" <td>113.5500</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>...</td>\n",
" <td>52</td>\n",
" <td>52</td>\n",
" <td>52</td>\n",
" <td>52</td>\n",
" <td>52</td>\n",
" <td>52</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>79</th>\n",
" <td>Ningxia</td>\n",
" <td>China</td>\n",
" <td>37.2692</td>\n",
" <td>106.1655</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>...</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80</th>\n",
" <td>Qinghai</td>\n",
" <td>China</td>\n",
" <td>35.7452</td>\n",
" <td>95.9956</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>...</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td>Shaanxi</td>\n",
" <td>China</td>\n",
" <td>35.1917</td>\n",
" <td>108.8701</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>5</td>\n",
" <td>15</td>\n",
" <td>22</td>\n",
" <td>35</td>\n",
" <td>...</td>\n",
" <td>622</td>\n",
" <td>622</td>\n",
" <td>622</td>\n",
" <td>622</td>\n",
" <td>622</td>\n",
" <td>622</td>\n",
" <td>624</td>\n",
" <td>624</td>\n",
" <td>624</td>\n",
" <td>624</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>Shandong</td>\n",
" <td>China</td>\n",
" <td>36.3427</td>\n",
" <td>118.1498</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>15</td>\n",
" <td>27</td>\n",
" <td>46</td>\n",
" <td>75</td>\n",
" <td>...</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" <td>883</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td>Shanghai</td>\n",
" <td>China</td>\n",
" <td>31.2020</td>\n",
" <td>121.4491</td>\n",
" <td>9</td>\n",
" <td>16</td>\n",
" <td>20</td>\n",
" <td>33</td>\n",
" <td>40</td>\n",
" <td>53</td>\n",
" <td>...</td>\n",
" <td>2155</td>\n",
" <td>2160</td>\n",
" <td>2165</td>\n",
" <td>2168</td>\n",
" <td>2170</td>\n",
" <td>2173</td>\n",
" <td>2179</td>\n",
" <td>2182</td>\n",
" <td>2183</td>\n",
" <td>2184</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td>Shanxi</td>\n",
" <td>China</td>\n",
" <td>37.5777</td>\n",
" <td>112.2922</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>...</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" <td>253</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85</th>\n",
" <td>Sichuan</td>\n",
" <td>China</td>\n",
" <td>30.6171</td>\n",
" <td>102.7103</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>15</td>\n",
" <td>28</td>\n",
" <td>44</td>\n",
" <td>69</td>\n",
" <td>...</td>\n",
" <td>1050</td>\n",
" <td>1054</td>\n",
" <td>1055</td>\n",
" <td>1056</td>\n",
" <td>1057</td>\n",
" <td>1057</td>\n",
" <td>1057</td>\n",
" <td>1058</td>\n",
" <td>1059</td>\n",
" <td>1064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>86</th>\n",
" <td>Tianjin</td>\n",
" <td>China</td>\n",
" <td>39.3054</td>\n",
" <td>117.3230</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>8</td>\n",
" <td>10</td>\n",
" <td>14</td>\n",
" <td>23</td>\n",
" <td>...</td>\n",
" <td>398</td>\n",
" <td>398</td>\n",
" <td>398</td>\n",
" <td>398</td>\n",
" <td>398</td>\n",
" <td>399</td>\n",
" <td>399</td>\n",
" <td>399</td>\n",
" <td>399</td>\n",
" <td>399</td>\n",
" </tr>\n",
" <tr>\n",
" <th>87</th>\n",
" <td>Tibet</td>\n",
" <td>China</td>\n",
" <td>31.6927</td>\n",
" <td>88.0924</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88</th>\n",
" <td>Unknown</td>\n",
" <td>China</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>Xinjiang</td>\n",
" <td>China</td>\n",
" <td>41.1129</td>\n",
" <td>85.2401</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>...</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" <td>980</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90</th>\n",
" <td>Yunnan</td>\n",
" <td>China</td>\n",
" <td>24.9740</td>\n",
" <td>101.4870</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>11</td>\n",
" <td>16</td>\n",
" <td>26</td>\n",
" <td>...</td>\n",
" <td>374</td>\n",
" <td>376</td>\n",
" <td>377</td>\n",
" <td>377</td>\n",
" <td>380</td>\n",
" <td>382</td>\n",
" <td>384</td>\n",
" <td>388</td>\n",
" <td>391</td>\n",
" <td>391</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91</th>\n",
" <td>Zhejiang</td>\n",
" <td>China</td>\n",
" <td>29.1832</td>\n",
" <td>120.0934</td>\n",
" <td>10</td>\n",
" <td>27</td>\n",
" <td>43</td>\n",
" <td>62</td>\n",
" <td>104</td>\n",
" <td>128</td>\n",
" <td>...</td>\n",
" <td>1372</td>\n",
" <td>1372</td>\n",
" <td>1373</td>\n",
" <td>1373</td>\n",
" <td>1373</td>\n",
" <td>1376</td>\n",
" <td>1377</td>\n",
" <td>1379</td>\n",
" <td>1379</td>\n",
" <td>1383</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>34 rows × 521 columns</p>\n",
"</div>"
],
"text/plain": [
" Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n",
"58 Anhui China 31.8257 117.2264 1 9 \n",
"59 Beijing China 40.1824 116.4142 14 22 \n",
"60 Chongqing China 30.0572 107.8740 6 9 \n",
"61 Fujian China 26.0789 117.9874 1 5 \n",
"62 Gansu China 35.7518 104.2861 0 2 \n",
"63 Guangdong China 23.3417 113.4244 26 32 \n",
"64 Guangxi China 23.8298 108.7881 2 5 \n",
"65 Guizhou China 26.8154 106.8748 1 3 \n",
"66 Hainan China 19.1959 109.7453 4 5 \n",
"67 Hebei China 39.5490 116.1306 1 1 \n",
"68 Heilongjiang China 47.8620 127.7615 0 2 \n",
"69 Henan China 37.8957 114.9042 5 5 \n",
"70 Hong Kong China 22.3000 114.2000 0 2 \n",
"71 Hubei China 30.9756 112.2707 444 444 \n",
"72 Hunan China 27.6104 111.7088 4 9 \n",
"73 Inner Mongolia China 44.0935 113.9448 0 0 \n",