diff --git a/module3/exo3/Sujet 7 - Autour du SARS-CoV-2.ipynb b/module3/exo3/Sujet 7 - Autour du SARS-CoV-2.ipynb index 24044d918b30c7b2e7f0d69511fb13dda0b263fc..cb871fa1d54d67ad3e98852a0c3cea828a750b33 100644 --- a/module3/exo3/Sujet 7 - Autour du SARS-CoV-2.ipynb +++ b/module3/exo3/Sujet 7 - Autour du SARS-CoV-2.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 87, "metadata": {}, "outputs": [], "source": [ @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 89, "metadata": {}, "outputs": [], "source": [ @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 90, "metadata": {}, "outputs": [ { @@ -1829,7 +1829,7 @@ "[271 rows x 327 columns]" ] }, - "execution_count": 6, + "execution_count": 90, "metadata": {}, "output_type": "execute_result" } @@ -1862,7 +1862,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 91, "metadata": {}, "outputs": [], "source": [ @@ -1878,7 +1878,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 92, "metadata": {}, "outputs": [ { @@ -3651,7 +3651,7 @@ "[69 rows x 327 columns]" ] }, - "execution_count": 40, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } @@ -3670,7 +3670,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -4995,7 +4995,7 @@ "[45 rows x 327 columns]" ] }, - "execution_count": 61, + "execution_count": 93, "metadata": {}, "output_type": "execute_result" } @@ -5014,7 +5014,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -5062,20 +5062,49 @@ " \n", " \n", " \n", + " \n", + " 70\n", + " NaN\n", + " China, Hong Kong\n", + " 22.3\n", + " 114.2\n", + " 0\n", + " 2\n", + " 2\n", + " 5\n", + " 8\n", + " 8\n", + " ...\n", + " 6314\n", + " 6396\n", + " 6499\n", + " 6589\n", + " 6701\n", + " 6802\n", + " 6897\n", + " 6975\n", + " 7075\n", + " 7179\n", + " \n", " \n", "\n", - "

0 rows × 327 columns

\n", + "

1 rows × 327 columns

\n", "" ], "text/plain": [ - "Empty DataFrame\n", - "Columns: [Province/State, Country/Region, Lat, Long, 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, ...]\n", - "Index: []\n", + " Province/State Country/Region Lat Long 1/22/20 1/23/20 1/24/20 \\\n", + "70 NaN China, Hong Kong 22.3 114.2 0 2 2 \n", + "\n", + " 1/25/20 1/26/20 1/27/20 ... 11/30/20 12/1/20 12/2/20 12/3/20 \\\n", + "70 5 8 8 ... 6314 6396 6499 6589 \n", + "\n", + " 12/4/20 12/5/20 12/6/20 12/7/20 12/8/20 12/9/20 \n", + "70 6701 6802 6897 6975 7075 7179 \n", "\n", - "[0 rows x 327 columns]" + "[1 rows x 327 columns]" ] }, - "execution_count": 68, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -5087,7 +5116,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 95, "metadata": {}, "outputs": [ { @@ -6412,17 +6441,3163 @@ "[45 rows x 327 columns]" ] }, - "execution_count": 69, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = data[~data['Province/State'].isin(['Hong Kong'])]\n", - "data = data_for_postprocessing.append(data_HK)\n", + "data = data.append(data_HK)\n", "data.sort_index().copy()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tracé des graphiques tels que dans le South China Morning Post" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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"11/27/20 6039 \n", + "11/28/20 6123 \n", + "11/29/20 6238 \n", + "11/30/20 6314 \n", + "12/1/20 6396 \n", + "12/2/20 6499 \n", + "12/3/20 6589 \n", + "12/4/20 6701 \n", + "12/5/20 6802 \n", + "12/6/20 6897 \n", + "12/7/20 6975 \n", + "12/8/20 7075 \n", + "12/9/20 7179 \n", + "\n", + "[323 rows x 45 columns]" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_new = pd.DataFrame.transpose(data)\n", + "data_new.columns = [data['Country/Region']]\n", + "data_new.rename(columns={'Country/Region':'Dates'}, inplace=True)\n", + "data_new = data_new.drop(['Province/State','Country/Region','Lat','Long'])\n", + "data_new" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([('Belgium',), ('China',), ('China',), ('China',), ('China',),\n", + " ('China',), ('China',), ('China',), ('China',), ('China',),\n", + " ('China',), ('China',), ('China',), 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323 rows × 14 columns

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"11/22/20 1512045 5628 \n", + "11/23/20 1527495 5701 \n", + "11/24/20 1538794 5781 \n", + "11/25/20 1557007 5866 \n", + "11/26/20 1574562 5947 \n", + "11/27/20 1589301 6039 \n", + "11/28/20 1605172 6123 \n", + "11/29/20 1617327 6238 \n", + "11/30/20 1629657 6314 \n", + "12/1/20 1643086 6396 \n", + "12/2/20 1659256 6499 \n", + "12/3/20 1674134 6589 \n", + "12/4/20 1690432 6701 \n", + "12/5/20 1705971 6802 \n", + "12/6/20 1723242 6897 \n", + "12/7/20 1737960 6975 \n", + "12/8/20 1750241 7075 \n", + "12/9/20 1766819 7179 \n", + "\n", + "[323 rows x 14 columns]" + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_column = data_new.iloc[:,2:34].sum(axis=1)\n", + "data_new = data_new.drop([('China',)], axis=1)\n", + "data_new.insert(2,'Chine', new_column)\n", + "data_new" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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