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6b9fcb02f874d4fa73786fcf6e721560
mooc-rr
Commits
b0dc0f67
Commit
b0dc0f67
authored
May 03, 2020
by
6b9fcb02f874d4fa73786fcf6e721560
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855c1b1e
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exercice.ipynb
module3/exo3/exercice.ipynb
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module3/exo3/exercice.ipynb
View file @
b0dc0f67
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@@ -23,7 +23,7 @@
},
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},
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@@ -1916,20 +1916,9 @@
},
{
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{
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"text": [
"Empty DataFrame\n",
"Columns: [1/22/20, 1/23/20, 1/24/20, 1/25/20, 1/26/20, 1/27/20, 1/28/20, 1/29/20, 1/30/20, 1/31/20, 2/1/20, 2/2/20, 2/3/20, 2/4/20, 2/5/20, 2/6/20, 2/7/20, 2/8/20, 2/9/20, 2/10/20, 2/11/20, 2/12/20, 2/13/20, 2/14/20, 2/15/20, 2/16/20, 2/17/20, 2/18/20, 2/19/20, 2/20/20, 2/21/20, 2/22/20, 2/23/20, 2/24/20, 2/25/20, 2/26/20, 2/27/20, 2/28/20, 2/29/20, 3/1/20, 3/2/20, 3/3/20, 3/4/20, 3/5/20, 3/6/20, 3/7/20, 3/8/20, 3/9/20, 3/10/20, 3/11/20, 3/12/20, 3/13/20, 3/14/20, 3/15/20, 3/16/20, 3/17/20, 3/18/20, 3/19/20, 3/20/20, 3/21/20, 3/22/20, 3/23/20, 3/24/20, 3/25/20, 3/26/20, 3/27/20, 3/28/20, 3/29/20, 3/30/20, 3/31/20, 4/1/20, 4/2/20, 4/3/20, 4/4/20, 4/5/20, 4/6/20, 4/7/20, 4/8/20, 4/9/20, 4/10/20, 4/11/20, 4/12/20, 4/13/20, 4/14/20, 4/15/20, 4/16/20, 4/17/20, 4/18/20, 4/19/20, 4/20/20, 4/21/20, 4/22/20, 4/23/20, 4/24/20, 4/25/20, 4/26/20, 4/27/20, 4/28/20, 4/29/20, 4/30/20, ...]\n",
"Index: []\n",
"\n",
"[0 rows x 101 columns]\n"
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...
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" <tr>\n",
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" <tr>\n",
" <th>10</th>\n",
" <td>NaN</td>\n",
" <td>Portugal</td>\n",
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" <td>4</td>\n",
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" <td>23864</td>\n",
" <td>24027</td>\n",
" <td>24322</td>\n",
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" <td>8131</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>8</td>\n",
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" <td>205905</td>\n",
" <td>207634</td>\n",
" <td>209465</td>\n",
" <td>210773</td>\n",
" <td>212917</td>\n",
" <td>213435</td>\n",
" <td>213435</td>\n",
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" <td>8</td>\n",
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" <th>12</th>\n",
" <td>Bermuda</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/10/20</th>\n",
" <td>1</td>\n",
" <td>11</td>\n",
" <td>14</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
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" <td>110</td>\n",
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" <td>8</td>\n",
" <td>11</td>\n",
" <td>42316</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Cayman Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/11/20</th>\n",
" <td>1</td>\n",
" <td>11</td>\n",
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" <td>3</td>\n",
" <td>26</td>\n",
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" <td>44337</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/12/20</th>\n",
" <td>1</td>\n",
" <td>11</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>70</td>\n",
" <td>70</td>\n",
" <td>70</td>\n",
" <td>73</td>\n",
" <td>73</td>\n",
" <td>74</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>12</td>\n",
" <td>44709</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Channel Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/13/20</th>\n",
" <td>1</td>\n",
" <td>11</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
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" <td>9</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>2/14/20</th>\n",
" <td>1</td>\n",
" <td>11</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
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" <td>521</td>\n",
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" <td>525</td>\n",
" <td>525</td>\n",
" <td>530</td>\n",
" <td>537</td>\n",
" <td>537</td>\n",
" <td>538</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>66302</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Gibraltar</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/15/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>43</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>68357</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/16/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>132</td>\n",
" <td>133</td>\n",
" <td>133</td>\n",
" <td>136</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>144</td>\n",
" <td>144</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>70456</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Isle of Man</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/17/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>66</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>72374</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/18/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>74</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>307</td>\n",
" <td>307</td>\n",
" <td>308</td>\n",
" <td>308</td>\n",
" <td>308</td>\n",
" <td>308</td>\n",
" <td>309</td>\n",
" <td>313</td>\n",
" <td>315</td>\n",
" <td>316</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>74149</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Montserrat</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/19/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>84</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>74556</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/2/20</th>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>10</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>16615</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>NaN</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <th>2/20/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>94</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>75009</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/21/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>18</td>\n",
" <td>20</td>\n",
" <td>105</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>75482</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/22/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>28</td>\n",
" <td>62</td>\n",
" <td>122</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>133495</td>\n",
" <td>138078</td>\n",
" <td>143464</td>\n",
" <td>148377</td>\n",
" <td>152840</td>\n",
" <td>157149</td>\n",
" <td>161145</td>\n",
" <td>165221</td>\n",
" <td>171253</td>\n",
" <td>177454</td>\n",
" <td>2</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>76932</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>NaN</td>\n",
" <td>US</td>\n",
" <th>2/23/20</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>43</td>\n",
" <td>155</td>\n",
" <td>147</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>...</td>\n",
" <td>840351</td>\n",
" <td>869170</td>\n",
" <td>905358</td>\n",
" <td>938154</td>\n",
" <td>965785</td>\n",
" <td>988197</td>\n",
" <td>1012582</td>\n",
" <td>1039909</td>\n",
" <td>1069424</td>\n",
" <td>1103461</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>76948</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Anguilla</td>\n",
" <td>United Kingdom</td>\n",
" <td>0</td>\n",
" <th>2/24/20</th>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" <td>16</td>\n",
" <td>61</td>\n",
" <td>229</td>\n",
" <td>159</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" <td>51</td>\n",
" <td>77162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/25/20</th>\n",
" <td>1</td>\n",
" <td>14</td>\n",
" <td>17</td>\n",
" <td>95</td>\n",
" <td>322</td>\n",
" <td>170</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>13</td>\n",
" <td>51</td>\n",
" <td>77670</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/26/20</th>\n",
" <td>1</td>\n",
" <td>18</td>\n",
" <td>27</td>\n",
" <td>139</td>\n",
" <td>453</td>\n",
" <td>189</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>57</td>\n",
" <td>78075</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2/27/20</th>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>46</td>\n",
" <td>245</td>\n",
" <td>655</td>\n",
" <td>214</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>58</td>\n",
" <td>78508</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>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>British Virgin Islands</td>\n",
" <td>United Kingdom</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>...</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <th>4/10/20</th>\n",
" <td>26667</td>\n",
" <td>90676</td>\n",
" <td>122171</td>\n",
" <td>68192</td>\n",
" <td>147577</td>\n",
" <td>5530</td>\n",
" <td>23097</td>\n",
" <td>15472</td>\n",
" <td>158273</td>\n",
" <td>73758</td>\n",
" <td>496535</td>\n",
" <td>81952</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/11/20</th>\n",
" <td>28018</td>\n",
" <td>93790</td>\n",
" <td>124908</td>\n",
" <td>70029</td>\n",
" <td>152271</td>\n",
" <td>6005</td>\n",
" <td>24413</td>\n",
" <td>15987</td>\n",
" <td>163027</td>\n",
" <td>78991</td>\n",
" <td>526396</td>\n",
" <td>82014</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/12/20</th>\n",
" <td>29647</td>\n",
" <td>120633</td>\n",
" <td>127854</td>\n",
" <td>71686</td>\n",
" <td>156363</td>\n",
" <td>6748</td>\n",
" <td>25587</td>\n",
" <td>16585</td>\n",
" <td>166831</td>\n",
" <td>84279</td>\n",
" <td>555313</td>\n",
" <td>82130</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/13/20</th>\n",
" <td>30589</td>\n",
" <td>124298</td>\n",
" <td>130072</td>\n",
" <td>73303</td>\n",
" <td>159516</td>\n",
" <td>7370</td>\n",
" <td>26551</td>\n",
" <td>16934</td>\n",
" <td>170099</td>\n",
" <td>88621</td>\n",
" <td>580619</td>\n",
" <td>82204</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/14/20</th>\n",
" <td>31119</td>\n",
" <td>129257</td>\n",
" <td>131359</td>\n",
" <td>74877</td>\n",
" <td>162488</td>\n",
" <td>7645</td>\n",
" <td>27419</td>\n",
" <td>17448</td>\n",
" <td>172541</td>\n",
" <td>93873</td>\n",
" <td>607670</td>\n",
" <td>82294</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/15/20</th>\n",
" <td>33573</td>\n",
" <td>132473</td>\n",
" <td>134753</td>\n",
" <td>76389</td>\n",
" <td>165155</td>\n",
" <td>8100</td>\n",
" <td>28153</td>\n",
" <td>18091</td>\n",
" <td>177644</td>\n",
" <td>98476</td>\n",
" <td>636350</td>\n",
" <td>82339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/16/20</th>\n",
" <td>34809</td>\n",
" <td>144944</td>\n",
" <td>137698</td>\n",
" <td>77995</td>\n",
" <td>168941</td>\n",
" <td>8626</td>\n",
" <td>29214</td>\n",
" <td>18841</td>\n",
" <td>184948</td>\n",
" <td>103093</td>\n",
" <td>667592</td>\n",
" <td>82386</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/17/20</th>\n",
" <td>36138</td>\n",
" <td>146923</td>\n",
" <td>141397</td>\n",
" <td>79494</td>\n",
" <td>172434</td>\n",
" <td>9787</td>\n",
" <td>30449</td>\n",
" <td>19022</td>\n",
" <td>190839</td>\n",
" <td>108692</td>\n",
" <td>699706</td>\n",
" <td>82739</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/18/20</th>\n",
" <td>37183</td>\n",
" <td>146906</td>\n",
" <td>143342</td>\n",
" <td>80868</td>\n",
" <td>175925</td>\n",
" <td>10296</td>\n",
" <td>31589</td>\n",
" <td>19685</td>\n",
" <td>191726</td>\n",
" <td>114217</td>\n",
" <td>732197</td>\n",
" <td>82763</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/19/20</th>\n",
" <td>38496</td>\n",
" <td>151808</td>\n",
" <td>145184</td>\n",
" <td>82211</td>\n",
" <td>178972</td>\n",
" <td>10797</td>\n",
" <td>32655</td>\n",
" <td>20206</td>\n",
" <td>198674</td>\n",
" <td>120067</td>\n",
" <td>758809</td>\n",
" <td>82780</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/2/20</th>\n",
" <td>15348</td>\n",
" <td>59105</td>\n",
" <td>84794</td>\n",
" <td>50468</td>\n",
" <td>115242</td>\n",
" <td>2495</td>\n",
" <td>14697</td>\n",
" <td>9034</td>\n",
" <td>112065</td>\n",
" <td>33718</td>\n",
" <td>243622</td>\n",
" <td>81630</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/20/20</th>\n",
" <td>39983</td>\n",
" <td>154188</td>\n",
" <td>147065</td>\n",
" <td>83505</td>\n",
" <td>181228</td>\n",
" <td>10797</td>\n",
" <td>33405</td>\n",
" <td>20863</td>\n",
" <td>200210</td>\n",
" <td>124743</td>\n",
" <td>784326</td>\n",
" <td>82792</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/21/20</th>\n",
" <td>40956</td>\n",
" <td>156921</td>\n",
" <td>148291</td>\n",
" <td>84802</td>\n",
" <td>183957</td>\n",
" <td>11135</td>\n",
" <td>34134</td>\n",
" <td>21379</td>\n",
" <td>204178</td>\n",
" <td>129044</td>\n",
" <td>811865</td>\n",
" <td>82824</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>Turks and Caicos Islands</td>\n",
" <td>United Kingdom</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>...</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <th>4/22/20</th>\n",
" <td>41889</td>\n",
" <td>154715</td>\n",
" <td>150648</td>\n",
" <td>85996</td>\n",
" <td>187327</td>\n",
" <td>11512</td>\n",
" <td>34842</td>\n",
" <td>21982</td>\n",
" <td>208389</td>\n",
" <td>133495</td>\n",
" <td>840351</td>\n",
" <td>82835</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>Bonaire, Sint Eustatius and Saba</td>\n",
" <td>Netherlands</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>...</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <th>4/23/20</th>\n",
" <td>42797</td>\n",
" <td>157026</td>\n",
" <td>153129</td>\n",
" <td>87026</td>\n",
" <td>189973</td>\n",
" <td>12368</td>\n",
" <td>35729</td>\n",
" <td>22353</td>\n",
" <td>213024</td>\n",
" <td>138078</td>\n",
" <td>869170</td>\n",
" <td>82849</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>Falkland Islands (Malvinas)</td>\n",
" <td>United Kingdom</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>...</td>\n",
" <td>11</td>\n",
" <td>12</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <th>4/24/20</th>\n",
" <td>44293</td>\n",
" <td>158636</td>\n",
" <td>154999</td>\n",
" <td>88194</td>\n",
" <td>192994</td>\n",
" <td>12829</td>\n",
" <td>36535</td>\n",
" <td>22797</td>\n",
" <td>202990</td>\n",
" <td>143464</td>\n",
" <td>905358</td>\n",
" <td>82864</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/25/20</th>\n",
" <td>45325</td>\n",
" <td>160292</td>\n",
" <td>156513</td>\n",
" <td>89328</td>\n",
" <td>195351</td>\n",
" <td>13231</td>\n",
" <td>37190</td>\n",
" <td>23392</td>\n",
" <td>205905</td>\n",
" <td>148377</td>\n",
" <td>938154</td>\n",
" <td>82872</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/26/20</th>\n",
" <td>46134</td>\n",
" <td>160847</td>\n",
" <td>157770</td>\n",
" <td>90481</td>\n",
" <td>197675</td>\n",
" <td>13441</td>\n",
" <td>37845</td>\n",
" <td>23864</td>\n",
" <td>207634</td>\n",
" <td>152840</td>\n",
" <td>965785</td>\n",
" <td>82875</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/27/20</th>\n",
" <td>46687</td>\n",
" <td>164589</td>\n",
" <td>158758</td>\n",
" <td>91472</td>\n",
" <td>199414</td>\n",
" <td>14153</td>\n",
" <td>38245</td>\n",
" <td>24027</td>\n",
" <td>209465</td>\n",
" <td>157149</td>\n",
" <td>988197</td>\n",
" <td>82881</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/28/20</th>\n",
" <td>47334</td>\n",
" <td>167605</td>\n",
" <td>159912</td>\n",
" <td>92584</td>\n",
" <td>201505</td>\n",
" <td>13736</td>\n",
" <td>38416</td>\n",
" <td>24322</td>\n",
" <td>210773</td>\n",
" <td>161145</td>\n",
" <td>1012582</td>\n",
" <td>82903</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/29/20</th>\n",
" <td>47859</td>\n",
" <td>165093</td>\n",
" <td>161539</td>\n",
" <td>93657</td>\n",
" <td>203591</td>\n",
" <td>13895</td>\n",
" <td>38802</td>\n",
" <td>24505</td>\n",
" <td>212917</td>\n",
" <td>165221</td>\n",
" <td>1039909</td>\n",
" <td>82907</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/3/20</th>\n",
" <td>16770</td>\n",
" <td>64338</td>\n",
" <td>91159</td>\n",
" <td>53183</td>\n",
" <td>119827</td>\n",
" <td>2617</td>\n",
" <td>15723</td>\n",
" <td>9886</td>\n",
" <td>119199</td>\n",
" <td>38168</td>\n",
" <td>275367</td>\n",
" <td>81666</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/30/20</th>\n",
" <td>48519</td>\n",
" <td>165764</td>\n",
" <td>163009</td>\n",
" <td>94640</td>\n",
" <td>205463</td>\n",
" <td>14088</td>\n",
" <td>39316</td>\n",
" <td>25045</td>\n",
" <td>213435</td>\n",
" <td>171253</td>\n",
" <td>1069424</td>\n",
" <td>82919</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/4/20</th>\n",
" <td>18431</td>\n",
" <td>68605</td>\n",
" <td>96092</td>\n",
" <td>55743</td>\n",
" <td>124632</td>\n",
" <td>3139</td>\n",
" <td>16627</td>\n",
" <td>10524</td>\n",
" <td>126168</td>\n",
" <td>41903</td>\n",
" <td>308650</td>\n",
" <td>81681</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/5/20</th>\n",
" <td>19691</td>\n",
" <td>70478</td>\n",
" <td>100123</td>\n",
" <td>58226</td>\n",
" <td>128948</td>\n",
" <td>3139</td>\n",
" <td>17851</td>\n",
" <td>11278</td>\n",
" <td>131646</td>\n",
" <td>47806</td>\n",
" <td>336802</td>\n",
" <td>81712</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/6/20</th>\n",
" <td>20814</td>\n",
" <td>74390</td>\n",
" <td>103374</td>\n",
" <td>60500</td>\n",
" <td>132547</td>\n",
" <td>3654</td>\n",
" <td>18803</td>\n",
" <td>11730</td>\n",
" <td>136675</td>\n",
" <td>51608</td>\n",
" <td>366317</td>\n",
" <td>81751</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/7/20</th>\n",
" <td>22194</td>\n",
" <td>78167</td>\n",
" <td>107663</td>\n",
" <td>62589</td>\n",
" <td>135586</td>\n",
" <td>3906</td>\n",
" <td>19580</td>\n",
" <td>12442</td>\n",
" <td>141942</td>\n",
" <td>55242</td>\n",
" <td>397121</td>\n",
" <td>81783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/8/20</th>\n",
" <td>23403</td>\n",
" <td>82048</td>\n",
" <td>113296</td>\n",
" <td>64586</td>\n",
" <td>139422</td>\n",
" <td>4257</td>\n",
" <td>20549</td>\n",
" <td>13141</td>\n",
" <td>148220</td>\n",
" <td>60733</td>\n",
" <td>428654</td>\n",
" <td>81849</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4/9/20</th>\n",
" <td>24983</td>\n",
" <td>86334</td>\n",
" <td>118181</td>\n",
" <td>66220</td>\n",
" <td>143626</td>\n",
" <td>4667</td>\n",
" <td>21762</td>\n",
" <td>13956</td>\n",
" <td>153222</td>\n",
" <td>65077</td>\n",
" <td>462780</td>\n",
" <td>81910</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5/1/20</th>\n",
" <td>49032</td>\n",
" <td>165764</td>\n",
" <td>164077</td>\n",
" <td>95646</td>\n",
" <td>207428</td>\n",
" <td>14305</td>\n",
" <td>39791</td>\n",
" <td>25351</td>\n",
" <td>213435</td>\n",
" <td>177454</td>\n",
" <td>1103461</td>\n",
" <td>82920</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>
25 rows × 103
columns</p>\n",
"<p>
101 rows × 12
columns</p>\n",
"</div>"
],
"text/plain": [
" Province/State Country/Region 1/22/20 1/23/20 \\\n",
"0 NaN Belgium 0 0 \n",
"1 NaN France 0 0 \n",
"2 NaN Germany 0 0 \n",
"3 NaN Iran 0 0 \n",
"4 NaN Italy 0 0 \n",
"5 NaN Japan 2 2 \n",
"6 Aruba Netherlands 0 0 \n",
"7 Curacao Netherlands 0 0 \n",
"8 Sint Maarten Netherlands 0 0 \n",
"9 NaN Netherlands 0 0 \n",
"10 NaN Portugal 0 0 \n",
"11 NaN Spain 0 0 \n",
"12 Bermuda United Kingdom 0 0 \n",
"13 Cayman Islands United Kingdom 0 0 \n",
"14 Channel Islands United Kingdom 0 0 \n",
"15 Gibraltar United Kingdom 0 0 \n",
"16 Isle of Man United Kingdom 0 0 \n",
"17 Montserrat United Kingdom 0 0 \n",
"18 NaN United Kingdom 0 0 \n",
"19 NaN US 1 1 \n",
"20 Anguilla United Kingdom 0 0 \n",
"21 British Virgin Islands United Kingdom 0 0 \n",
"22 Turks and Caicos Islands United Kingdom 0 0 \n",
"23 Bonaire, Sint Eustatius and Saba Netherlands 0 0 \n",
"24 Falkland Islands (Malvinas) United Kingdom 0 0 \n",
"\n",
" 1/24/20 1/25/20 1/26/20 1/27/20 1/28/20 1/29/20 ... 4/22/20 \\\n",
"0 0 0 0 0 0 0 ... 41889 \n",
"1 2 3 3 3 4 5 ... 154715 \n",
"2 0 0 0 1 4 4 ... 150648 \n",
"3 0 0 0 0 0 0 ... 85996 \n",
"4 0 0 0 0 0 0 ... 187327 \n",
"5 2 2 4 4 7 7 ... 11512 \n",
"6 0 0 0 0 0 0 ... 100 \n",
"7 0 0 0 0 0 0 ... 14 \n",
"8 0 0 0 0 0 0 ... 71 \n",
"9 0 0 0 0 0 0 ... 34842 \n",
"10 0 0 0 0 0 0 ... 21982 \n",
"11 0 0 0 0 0 0 ... 208389 \n",
"12 0 0 0 0 0 0 ... 99 \n",
"13 0 0 0 0 0 0 ... 66 \n",
"14 0 0 0 0 0 0 ... 498 \n",
"15 0 0 0 0 0 0 ... 132 \n",
"16 0 0 0 0 0 0 ... 307 \n",
"17 0 0 0 0 0 0 ... 11 \n",
"18 0 0 0 0 0 0 ... 133495 \n",
"19 2 2 5 5 5 5 ... 840351 \n",
"20 0 0 0 0 0 0 ... 3 \n",
"21 0 0 0 0 0 0 ... 5 \n",
"22 0 0 0 0 0 0 ... 11 \n",
"23 0 0 0 0 0 0 ... 5 \n",
"24 0 0 0 0 0 0 ... 11 \n",
" 0 1 2 3 4 5 6 7 8 \\\n",
"1/22/20 0 0 0 0 0 2 0 0 0 \n",
"1/23/20 0 0 0 0 0 2 0 0 0 \n",
"1/24/20 0 2 0 0 0 2 0 0 0 \n",
"1/25/20 0 3 0 0 0 2 0 0 0 \n",
"1/26/20 0 3 0 0 0 4 0 0 0 \n",
"1/27/20 0 3 1 0 0 4 0 0 0 \n",
"1/28/20 0 4 4 0 0 7 0 0 0 \n",
"1/29/20 0 5 4 0 0 7 0 0 0 \n",
"1/30/20 0 5 4 0 0 11 0 0 0 \n",
"1/31/20 0 5 5 0 2 15 0 0 0 \n",
"2/1/20 0 6 8 0 2 20 0 0 1 \n",
"2/10/20 1 11 14 0 3 26 0 0 2 \n",
"2/11/20 1 11 16 0 3 26 0 0 2 \n",
"2/12/20 1 11 16 0 3 28 0 0 2 \n",
"2/13/20 1 11 16 0 3 28 0 0 2 \n",
"2/14/20 1 11 16 0 3 29 0 0 2 \n",
"2/15/20 1 12 16 0 3 43 0 0 2 \n",
"2/16/20 1 12 16 0 3 59 0 0 2 \n",
"2/17/20 1 12 16 0 3 66 0 0 2 \n",
"2/18/20 1 12 16 0 3 74 0 0 2 \n",
"2/19/20 1 12 16 2 3 84 0 0 2 \n",
"2/2/20 0 6 10 0 2 20 0 0 1 \n",
"2/20/20 1 12 16 5 3 94 0 0 2 \n",
"2/21/20 1 12 16 18 20 105 0 0 2 \n",
"2/22/20 1 12 16 28 62 122 0 0 2 \n",
"2/23/20 1 12 16 43 155 147 0 0 2 \n",
"2/24/20 1 12 16 61 229 159 0 0 2 \n",
"2/25/20 1 14 17 95 322 170 0 0 6 \n",
"2/26/20 1 18 27 139 453 189 0 0 13 \n",
"2/27/20 1 38 46 245 655 214 1 0 15 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"4/10/20 26667 90676 122171 68192 147577 5530 23097 15472 158273 \n",
"4/11/20 28018 93790 124908 70029 152271 6005 24413 15987 163027 \n",
"4/12/20 29647 120633 127854 71686 156363 6748 25587 16585 166831 \n",
"4/13/20 30589 124298 130072 73303 159516 7370 26551 16934 170099 \n",
"4/14/20 31119 129257 131359 74877 162488 7645 27419 17448 172541 \n",
"4/15/20 33573 132473 134753 76389 165155 8100 28153 18091 177644 \n",
"4/16/20 34809 144944 137698 77995 168941 8626 29214 18841 184948 \n",
"4/17/20 36138 146923 141397 79494 172434 9787 30449 19022 190839 \n",
"4/18/20 37183 146906 143342 80868 175925 10296 31589 19685 191726 \n",
"4/19/20 38496 151808 145184 82211 178972 10797 32655 20206 198674 \n",
"4/2/20 15348 59105 84794 50468 115242 2495 14697 9034 112065 \n",
"4/20/20 39983 154188 147065 83505 181228 10797 33405 20863 200210 \n",
"4/21/20 40956 156921 148291 84802 183957 11135 34134 21379 204178 \n",
"4/22/20 41889 154715 150648 85996 187327 11512 34842 21982 208389 \n",
"4/23/20 42797 157026 153129 87026 189973 12368 35729 22353 213024 \n",
"4/24/20 44293 158636 154999 88194 192994 12829 36535 22797 202990 \n",
"4/25/20 45325 160292 156513 89328 195351 13231 37190 23392 205905 \n",
"4/26/20 46134 160847 157770 90481 197675 13441 37845 23864 207634 \n",
"4/27/20 46687 164589 158758 91472 199414 14153 38245 24027 209465 \n",
"4/28/20 47334 167605 159912 92584 201505 13736 38416 24322 210773 \n",
"4/29/20 47859 165093 161539 93657 203591 13895 38802 24505 212917 \n",
"4/3/20 16770 64338 91159 53183 119827 2617 15723 9886 119199 \n",
"4/30/20 48519 165764 163009 94640 205463 14088 39316 25045 213435 \n",
"4/4/20 18431 68605 96092 55743 124632 3139 16627 10524 126168 \n",
"4/5/20 19691 70478 100123 58226 128948 3139 17851 11278 131646 \n",
"4/6/20 20814 74390 103374 60500 132547 3654 18803 11730 136675 \n",
"4/7/20 22194 78167 107663 62589 135586 3906 19580 12442 141942 \n",
"4/8/20 23403 82048 113296 64586 139422 4257 20549 13141 148220 \n",
"4/9/20 24983 86334 118181 66220 143626 4667 21762 13956 153222 \n",
"5/1/20 49032 165764 164077 95646 207428 14305 39791 25351 213435 \n",
"\n",
" 4/23/20 4/24/20 4/25/20 4/26/20 4/27/20 4/28/20 4/29/20 4/30/20 \\\n",
"0 42797 44293 45325 46134 46687 47334 47859 48519 \n",
"1 157026 158636 160292 160847 164589 167605 165093 165764 \n",
"2 153129 154999 156513 157770 158758 159912 161539 163009 \n",
"3 87026 88194 89328 90481 91472 92584 93657 94640 \n",
"4 189973 192994 195351 197675 199414 201505 203591 205463 \n",
"5 12368 12829 13231 13441 14153 13736 13895 14088 \n",
"6 100 100 100 100 100 100 100 100 \n",
"7 14 16 16 16 16 16 16 16 \n",
"8 73 73 73 74 74 75 75 75 \n",
"9 35729 36535 37190 37845 38245 38416 38802 39316 \n",
"10 22353 22797 23392 23864 24027 24322 24505 25045 \n",
"11 213024 202990 205905 207634 209465 210773 212917 213435 \n",
"12 99 99 109 109 110 110 111 114 \n",
"13 66 70 70 70 70 70 73 73 \n",
"14 521 523 525 525 525 530 537 537 \n",
"15 133 133 136 141 141 141 141 144 \n",
"16 307 308 308 308 308 309 313 315 \n",
"17 11 11 11 11 11 11 11 11 \n",
"18 138078 143464 148377 152840 157149 161145 165221 171253 \n",
"19 869170 905358 938154 965785 988197 1012582 1039909 1069424 \n",
"20 3 3 3 3 3 3 3 3 \n",
"21 5 5 6 6 6 6 6 6 \n",
"22 11 11 11 11 12 12 12 12 \n",
"23 5 5 5 5 5 5 5 5 \n",
"24 12 13 13 13 13 13 13 13 \n",
" 9 10 11 \n",
"1/22/20 0 1 548 \n",
"1/23/20 0 1 641 \n",
"1/24/20 0 2 918 \n",
"1/25/20 0 2 1401 \n",
"1/26/20 0 5 2067 \n",
"1/27/20 0 5 2869 \n",
"1/28/20 0 5 5501 \n",
"1/29/20 0 5 6077 \n",
"1/30/20 0 5 8131 \n",
"1/31/20 2 7 9790 \n",
"2/1/20 2 8 11878 \n",
"2/10/20 8 11 42316 \n",
"2/11/20 8 12 44337 \n",
"2/12/20 9 12 44709 \n",
"2/13/20 9 13 59842 \n",
"2/14/20 9 13 66302 \n",
"2/15/20 9 13 68357 \n",
"2/16/20 9 13 70456 \n",
"2/17/20 9 13 72374 \n",
"2/18/20 9 13 74149 \n",
"2/19/20 9 13 74556 \n",
"2/2/20 2 8 16615 \n",
"2/20/20 9 13 75009 \n",
"2/21/20 9 15 75482 \n",
"2/22/20 9 15 76932 \n",
"2/23/20 9 15 76948 \n",
"2/24/20 13 51 77162 \n",
"2/25/20 13 51 77670 \n",
"2/26/20 13 57 78075 \n",
"2/27/20 15 58 78508 \n",
"... ... ... ... \n",
"4/10/20 73758 496535 81952 \n",
"4/11/20 78991 526396 82014 \n",
"4/12/20 84279 555313 82130 \n",
"4/13/20 88621 580619 82204 \n",
"4/14/20 93873 607670 82294 \n",
"4/15/20 98476 636350 82339 \n",
"4/16/20 103093 667592 82386 \n",
"4/17/20 108692 699706 82739 \n",
"4/18/20 114217 732197 82763 \n",
"4/19/20 120067 758809 82780 \n",
"4/2/20 33718 243622 81630 \n",
"4/20/20 124743 784326 82792 \n",
"4/21/20 129044 811865 82824 \n",
"4/22/20 133495 840351 82835 \n",
"4/23/20 138078 869170 82849 \n",
"4/24/20 143464 905358 82864 \n",
"4/25/20 148377 938154 82872 \n",
"4/26/20 152840 965785 82875 \n",
"4/27/20 157149 988197 82881 \n",
"4/28/20 161145 1012582 82903 \n",
"4/29/20 165221 1039909 82907 \n",
"4/3/20 38168 275367 81666 \n",
"4/30/20 171253 1069424 82919 \n",
"4/4/20 41903 308650 81681 \n",
"4/5/20 47806 336802 81712 \n",
"4/6/20 51608 366317 81751 \n",
"4/7/20 55242 397121 81783 \n",
"4/8/20 60733 428654 81849 \n",
"4/9/20 65077 462780 81910 \n",
"5/1/20 177454 1103461 82920 \n",
"\n",
" 5/1/20 \n",
"0 49032 \n",
"1 165764 \n",
"2 164077 \n",
"3 95646 \n",
"4 207428 \n",
"5 14305 \n",
"6 100 \n",
"7 16 \n",
"8 76 \n",
"9 39791 \n",
"10 25351 \n",
"11 213435 \n",
"12 114 \n",
"13 74 \n",
"14 538 \n",
"15 144 \n",
"16 316 \n",
"17 11 \n",
"18 177454 \n",
"19 1103461 \n",
"20 3 \n",
"21 6 \n",
"22 12 \n",
"23 6 \n",
"24 13 \n",
"\n",
"[25 rows x 103 columns]"
"[101 rows x 12 columns]"
]
},
"execution_count":
170
,
"execution_count":
65
,
"metadata": {},
"output_type": "execute_result"
}
...
...
@@ -2701,7 +3014,7 @@
"def filter_countries(row):\n",
" countries = ['Belgium', 'China', 'France', 'Germany', 'Iran', 'Italy', 'Japan', 'Korea', 'Netherlands', 'Portugal', 'Spain', 'United Kingdom', 'US']\n",
" if row['Country/Region'] in countries:\n",
" if str(row['Country/Region'])
== 'France'
:\n",
" if str(row['Country/Region'])
in ['France','Netherlands','United Kingdom']
:\n",
" if str(row['Province/State']) == \"nan\":\n",
" return True\n",
" else:\n",
...
...
@@ -2712,26 +3025,53 @@
"\n",
" return False\n",
"\n",
"only_china =
new_data.loc[ne
w_data['Country/Region'] == 'China']\n",
"only_china =
raw_data.loc[ra
w_data['Country/Region'] == 'China']\n",
"only_china = only_china.loc[only_china['Province/State'] != 'Hong Kong']\n",
"only_china = only_china.drop(columns=['Province/State'])\n",
"only_china = only_china.groupby(['Country/Region']).sum()\n",
"print(only_china)\n",
"\n",
"if len(raw_data.index) > 0:\n",
" new_data = raw_data[raw_data.apply(filter_countries, axis=1)]\n",
" \n",
"new_data = new_data.reset_index()\n",
"new_data = new_data.drop(columns=['Lat', 'Long', 'index'])\n",
"\n",
"new_data = new_data.set_index('Country/Region')\n",
"\n",
"new_data = new_data.append(only_china, ignore_index=True)\n",
"new_data = new_data.drop(columns=['Lat', 'Long','Province/State'])\n",
"new_data = new_data.T\n",
"\n",
"new_data"
]
},
{
"cell_type": "code",
"execution_count":
null
,
"execution_count":
64
,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fb2f2b614e0>"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"new_data.plot()"
]
},
{
"cell_type": "code",
...
...
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