From d545e647ef44da0e856a559cc6bed08fb723e697 Mon Sep 17 00:00:00 2001 From: 6b9fcb02f874d4fa73786fcf6e721560 <6b9fcb02f874d4fa73786fcf6e721560@app-learninglab.inria.fr> Date: Sun, 3 May 2020 01:24:41 +0000 Subject: [PATCH] =?UTF-8?q?Exercice=20r=C3=A9ussi,=20reste=20=C3=A0=20comm?= =?UTF-8?q?enter?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- module3/exo3/exercice.ipynb | 2675 +++-------------------------------- 1 file changed, 214 insertions(+), 2461 deletions(-) diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 75f6138..ceab3e8 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -23,20 +23,35 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: pandas==1.0.0 in /opt/conda/lib/python3.6/site-packages (1.0.0)\n", + "Requirement already satisfied: pytz>=2017.2 in /opt/conda/lib/python3.6/site-packages (from pandas==1.0.0) (2019.3)\n", + "Requirement already satisfied: python-dateutil>=2.6.1 in /opt/conda/lib/python3.6/site-packages (from pandas==1.0.0) (2.8.1)\n", + "Requirement already satisfied: numpy>=1.13.3 in /opt/conda/lib/python3.6/site-packages (from pandas==1.0.0) (1.15.2)\n", + "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.6/site-packages (from python-dateutil>=2.6.1->pandas==1.0.0) (1.14.0)\n", + "1.0.0\n" + ] + } + ], "source": [ " %matplotlib inline\n", "import matplotlib.pyplot as plt\n", + "!pip install pandas==1.0.0\n", "import pandas as pd\n", + "print(pd.__version__)\n", "import isoweek\n", "import math" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -205,443 +220,35 @@ " 30\n", " \n", " \n", - " 5\n", - " NaN\n", - " Antigua and Barbuda\n", - " 17.060800\n", - " -61.796400\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", " ...\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 25\n", - " \n", - " \n", - " 6\n", - " NaN\n", - " Argentina\n", - " -38.416100\n", - " -63.616700\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 3144\n", - " 3435\n", - " 3607\n", - " 3780\n", - " 3892\n", - " 4003\n", - " 4127\n", - " 4285\n", - " 4428\n", - " 4532\n", - " \n", - " \n", - " 7\n", - " NaN\n", - " Armenia\n", - " 40.069100\n", - " 45.038200\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 1473\n", - " 1523\n", - " 1596\n", - " 1677\n", - " 1746\n", - " 1808\n", - " 1867\n", - " 1932\n", - " 2066\n", - " 2148\n", - " \n", - " \n", - " 8\n", - " Australian Capital Territory\n", - " Australia\n", - " -35.473500\n", - " 149.012400\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 104\n", - " 104\n", - " 105\n", - " 106\n", - " 106\n", - " 106\n", - " 106\n", - " 106\n", - " 106\n", - " 106\n", - " \n", - " \n", - " 9\n", - " New South Wales\n", - " Australia\n", - " -33.868800\n", - " 151.209300\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 3\n", - " 4\n", " ...\n", - " 2971\n", - " 2976\n", - " 2982\n", - " 2994\n", - " 3002\n", - " 3004\n", - " 3016\n", - " 3016\n", - " 3025\n", - " 3030\n", - " \n", - " \n", - " 10\n", - " Northern Territory\n", - " Australia\n", - " -12.463400\n", - " 130.845600\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 28\n", - " 28\n", - " 28\n", - " 28\n", - " 28\n", - " 28\n", - " 28\n", - " 28\n", - " 28\n", - " 27\n", - " \n", - " \n", - " 11\n", - " Queensland\n", - " Australia\n", - " -28.016700\n", - " 153.400000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 1024\n", - " 1026\n", - " 1026\n", - " 1026\n", - " 1030\n", - " 1033\n", - " 1034\n", - " 1033\n", - " 1033\n", - " 1034\n", - " \n", - " \n", - " 12\n", - " South Australia\n", - " Australia\n", - " -34.928500\n", - " 138.600700\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " 438\n", - " \n", - " \n", - " 13\n", - " Tasmania\n", - " Australia\n", - " -41.454500\n", - " 145.970700\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 205\n", - " 207\n", - " 207\n", - " 207\n", - " 212\n", - " 214\n", - " 218\n", - " 219\n", - " 221\n", - " 221\n", - " \n", - " \n", - " 14\n", - " Victoria\n", - " Australia\n", - " -37.813600\n", - " 144.963100\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 1\n", - " 1\n", " ...\n", - " 1336\n", - " 1337\n", - " 1343\n", - " 1346\n", - " 1349\n", - " 1349\n", - " 1354\n", - " 1361\n", - " 1364\n", - " 1371\n", - " \n", - " \n", - " 15\n", - " Western Australia\n", - " Australia\n", - " -31.950500\n", - " 115.860500\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 546\n", - " 546\n", - " 548\n", - " 549\n", - " 549\n", - " 549\n", - " 550\n", - " 551\n", - " 551\n", - " 551\n", - " \n", - " \n", - " 16\n", - " NaN\n", - " Austria\n", - " 47.516200\n", - " 14.550100\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 14925\n", - " 15002\n", - " 15071\n", - " 15148\n", - " 15225\n", - " 15274\n", - " 15357\n", - " 15402\n", - " 15452\n", - " 15531\n", - " \n", - " \n", - " 17\n", - " NaN\n", - " Azerbaijan\n", - " 40.143100\n", - " 47.576900\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 1518\n", - " 1548\n", - " 1592\n", - " 1617\n", - " 1645\n", - " 1678\n", - " 1717\n", - " 1766\n", - " 1804\n", - " 1854\n", - " \n", - " \n", - " 18\n", - " NaN\n", - " Bahamas\n", - " 25.034300\n", - " -77.396300\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 65\n", - " 72\n", - " 73\n", - " 78\n", - " 80\n", - " 80\n", - " 80\n", - " 80\n", - " 81\n", - " 81\n", - " \n", - " \n", - " 19\n", - " NaN\n", - " Bahrain\n", - " 26.027500\n", - " 50.550000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 2027\n", - " 2217\n", - " 2518\n", - " 2588\n", - " 2647\n", - " 2723\n", - " 2811\n", - " 2921\n", - " 3040\n", - " 3170\n", - " \n", - " \n", - " 20\n", - " NaN\n", - " Bangladesh\n", - " 23.685000\n", - " 90.356300\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 3772\n", - " 4186\n", - " 4689\n", - " 4998\n", - " 5416\n", - " 5913\n", - " 6462\n", - " 7103\n", - " 7667\n", - " 8238\n", - " \n", - " \n", - " 21\n", - " NaN\n", - " Barbados\n", - " 13.193900\n", - " -59.543200\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 75\n", - " 76\n", - " 77\n", - " 79\n", - " 79\n", - " 80\n", - " 80\n", - " 80\n", - " 81\n", - " 81\n", - " \n", - " \n", - " 22\n", - " NaN\n", - " Belarus\n", - " 53.709800\n", - " 27.953400\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", " ...\n", - " 7281\n", - " 8022\n", - " 8773\n", - " 9590\n", - " 10463\n", - " 11289\n", - " 12208\n", - " 13181\n", - " 14027\n", - " 14917\n", " \n", " \n", - " 23\n", + " 261\n", " NaN\n", - " Belgium\n", - " 50.833300\n", - " 4.000000\n", + " Western Sahara\n", + " 24.215500\n", + " -12.885800\n", " 0\n", " 0\n", " 0\n", @@ -649,23 +256,23 @@ " 0\n", " 0\n", " ...\n", - " 41889\n", - " 42797\n", - " 44293\n", - " 45325\n", - " 46134\n", - " 46687\n", - " 47334\n", - " 47859\n", - " 48519\n", - " 49032\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", + " 6\n", " \n", " \n", - " 24\n", + " 262\n", " NaN\n", - " Benin\n", - " 9.307700\n", - " 2.315800\n", + " Sao Tome and Principe\n", + " 0.186360\n", + " 6.613081\n", " 0\n", " 0\n", " 0\n", @@ -673,23 +280,23 @@ " 0\n", " 0\n", " ...\n", - " 54\n", - " 54\n", - " 54\n", - " 54\n", - " 64\n", - " 64\n", - " 64\n", - " 64\n", - " 64\n", - " 90\n", + " 4\n", + " 4\n", + " 4\n", + " 4\n", + " 4\n", + " 4\n", + " 8\n", + " 8\n", + " 14\n", + " 16\n", " \n", " \n", - " 25\n", + " 263\n", " NaN\n", - " Bhutan\n", - " 27.514200\n", - " 90.433600\n", + " Yemen\n", + " 15.552727\n", + " 48.516388\n", " 0\n", " 0\n", " 0\n", @@ -697,23 +304,23 @@ " 0\n", " 0\n", " ...\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 6\n", " 6\n", - " 7\n", - " 7\n", - " 7\n", - " 7\n", - " 7\n", - " 7\n", - " 7\n", - " 7\n", " 7\n", " \n", " \n", - " 26\n", + " 264\n", " NaN\n", - " Bolivia\n", - " -16.290200\n", - " -63.588700\n", + " Comoros\n", + " -11.645500\n", + " 43.333300\n", " 0\n", " 0\n", " 0\n", @@ -721,47 +328,23 @@ " 0\n", " 0\n", " ...\n", - " 609\n", - " 703\n", - " 807\n", - " 866\n", - " 950\n", - " 1014\n", - " 1014\n", - " 1110\n", - " 1110\n", - " 1229\n", - " \n", - " \n", - " 27\n", - " NaN\n", - " Bosnia and Herzegovina\n", - " 43.915900\n", - " 17.679100\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " ...\n", - " 1368\n", - " 1413\n", - " 1421\n", - " 1486\n", - " 1516\n", - " 1565\n", - " 1585\n", - " 1677\n", - " 1757\n", - " 1781\n", + " 0\n", + " 0\n", + " 1\n", + " 1\n", " \n", " \n", - " 28\n", + " 265\n", " NaN\n", - " Brazil\n", - " -14.235000\n", - " -51.925300\n", + " Tajikistan\n", + " 38.861034\n", + " 71.276093\n", " 0\n", " 0\n", " 0\n", @@ -769,784 +352,16 @@ " 0\n", " 0\n", " ...\n", - " 45757\n", - " 50036\n", - " 54043\n", - " 59324\n", - " 63100\n", - " 67446\n", - " 73235\n", - " 79685\n", - " 87187\n", - " 92202\n", - " \n", - " \n", - " 29\n", - " NaN\n", - " Brunei\n", - " 4.535300\n", - " 114.727700\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " ...\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " 138\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 236\n", - " NaN\n", - " Timor-Leste\n", - " -8.874217\n", - " 125.727539\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 23\n", - " 23\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " 24\n", - " \n", - " \n", - " 237\n", - " NaN\n", - " Belize\n", - " 13.193900\n", - " -59.543200\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " 18\n", - " \n", - " \n", - " 238\n", - " Recovered\n", - " Canada\n", - " 0.000000\n", - " 0.000000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " \n", - " \n", - " 239\n", - " NaN\n", - " Laos\n", - " 19.856270\n", - " 102.495496\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " 19\n", - " \n", - " \n", - " 240\n", - " NaN\n", - " Libya\n", - " 26.335100\n", - " 17.228331\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 59\n", - " 60\n", - " 61\n", - " 61\n", - " 61\n", - " 61\n", - " 61\n", - " 61\n", - " 61\n", - " 63\n", - " \n", - " \n", - " 241\n", - " NaN\n", - " West Bank and Gaza\n", - " 31.952200\n", - " 35.233200\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 474\n", - " 480\n", - " 484\n", - " 342\n", - " 342\n", - " 342\n", - " 343\n", - " 344\n", - " 344\n", - " 353\n", - " \n", - " \n", - " 242\n", - " NaN\n", - " Guinea-Bissau\n", - " 11.803700\n", - " -15.180400\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 50\n", - " 50\n", - " 52\n", - " 52\n", - " 53\n", - " 73\n", - " 73\n", - " 205\n", - " 205\n", - " 257\n", - " \n", - " \n", - " 243\n", - " NaN\n", - " Mali\n", - " 17.570692\n", - " -3.996166\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 293\n", - " 309\n", - " 325\n", - " 370\n", - " 389\n", - " 408\n", - " 424\n", - " 482\n", - " 490\n", - " 508\n", - " \n", - " \n", - " 244\n", - " NaN\n", - " Saint Kitts and Nevis\n", - " 17.357822\n", - " -62.782998\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " 15\n", - " \n", - " \n", - " 245\n", - " Northwest Territories\n", - " Canada\n", - " 64.825500\n", - " -124.845700\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " \n", - " \n", - " 246\n", - " Yukon\n", - " Canada\n", - " 64.282300\n", - " -135.000000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " \n", - " \n", - " 247\n", - " NaN\n", - " Kosovo\n", - " 42.602636\n", - " 20.902977\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 630\n", - " 669\n", - " 703\n", - " 731\n", - " 763\n", - " 780\n", - " 790\n", - " 799\n", - " 806\n", - " 806\n", - " \n", - " \n", - " 248\n", - " NaN\n", - " Burma\n", - " 21.916200\n", - " 95.956000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 123\n", - " 139\n", - " 144\n", - " 146\n", - " 146\n", - " 146\n", - " 150\n", - " 150\n", - " 151\n", - " 151\n", - " \n", - " \n", - " 249\n", - " Anguilla\n", - " United Kingdom\n", - " 18.220600\n", - " -63.068600\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " \n", - " \n", - " 250\n", - " British Virgin Islands\n", - " United Kingdom\n", - " 18.420700\n", - " -64.640000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 5\n", - " 5\n", - " 5\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " \n", - " \n", - " 251\n", - " Turks and Caicos Islands\n", - " United Kingdom\n", - " 21.694000\n", - " -71.797900\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 12\n", - " 12\n", - " 12\n", - " 12\n", - " 12\n", - " \n", - " \n", - " 252\n", - " NaN\n", - " MS Zaandam\n", - " 0.000000\n", - " 0.000000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " 9\n", - " \n", - " \n", - " 253\n", - " NaN\n", - " Botswana\n", - " -22.328500\n", - " 24.684900\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 22\n", - " 22\n", - " 22\n", - " 22\n", - " 22\n", - " 22\n", - " 23\n", - " 23\n", - " 23\n", - " 23\n", - " \n", - " \n", - " 254\n", - " NaN\n", - " Burundi\n", - " -3.373100\n", - " 29.918900\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " 11\n", - " \n", - " \n", - " 255\n", - " NaN\n", - " Sierra Leone\n", - " 8.460555\n", - " -11.779889\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 61\n", - " 64\n", - " 82\n", - " 82\n", - " 93\n", - " 93\n", - " 104\n", - " 104\n", - " 124\n", - " 136\n", - " \n", - " \n", - " 256\n", - " Bonaire, Sint Eustatius and Saba\n", - " Netherlands\n", - " 12.178400\n", - " -68.238500\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 6\n", - " \n", - " \n", - " 257\n", - " NaN\n", - " Malawi\n", - " -13.254308\n", - " 34.301525\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 23\n", - " 33\n", - " 33\n", - " 33\n", - " 34\n", - " 36\n", - " 36\n", - " 36\n", - " 37\n", - " 37\n", - " \n", - " \n", - " 258\n", - " Falkland Islands (Malvinas)\n", - " United Kingdom\n", - " -51.796300\n", - " -59.523600\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 11\n", - " 12\n", - " 13\n", - " 13\n", - " 13\n", - " 13\n", - " 13\n", - " 13\n", - " 13\n", - " 13\n", - " \n", - " \n", - " 259\n", - " Saint Pierre and Miquelon\n", - " France\n", - " 46.885200\n", - " -56.315900\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " \n", - " \n", - " 260\n", - " NaN\n", - " South Sudan\n", - " 6.877000\n", - " 31.307000\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 4\n", - " 5\n", - " 5\n", - " 5\n", - " 6\n", - " 6\n", - " 34\n", - " 34\n", - " 35\n", - " 45\n", - " \n", - " \n", - " 261\n", - " NaN\n", - " Western Sahara\n", - " 24.215500\n", - " -12.885800\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " 6\n", - " \n", - " \n", - " 262\n", - " NaN\n", - " Sao Tome and Principe\n", - " 0.186360\n", - " 6.613081\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 8\n", - " 8\n", - " 14\n", - " 16\n", - " \n", - " \n", - " 263\n", - " NaN\n", - " Yemen\n", - " 15.552727\n", - " 48.516388\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 6\n", - " 6\n", - " 7\n", - " \n", - " \n", - " 264\n", - " NaN\n", - " Comoros\n", - " -11.645500\n", - " 43.333300\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 1\n", - " 1\n", - " \n", - " \n", - " 265\n", - " NaN\n", - " Tajikistan\n", - " 38.861034\n", - " 71.276093\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 15\n", - " 15\n", + " 0\n", + " 0\n", + " 15\n", + " 15\n", " \n", " \n", "\n", @@ -1554,262 +369,49 @@ "" ], "text/plain": [ - " Province/State Country/Region Lat \\\n", - "0 NaN Afghanistan 33.000000 \n", - "1 NaN Albania 41.153300 \n", - "2 NaN Algeria 28.033900 \n", - "3 NaN Andorra 42.506300 \n", - "4 NaN Angola -11.202700 \n", - "5 NaN Antigua and Barbuda 17.060800 \n", - "6 NaN Argentina -38.416100 \n", - "7 NaN Armenia 40.069100 \n", - "8 Australian Capital Territory Australia -35.473500 \n", - "9 New South Wales Australia -33.868800 \n", - "10 Northern Territory Australia -12.463400 \n", - "11 Queensland Australia -28.016700 \n", - "12 South Australia Australia -34.928500 \n", - "13 Tasmania Australia -41.454500 \n", - "14 Victoria Australia -37.813600 \n", - "15 Western Australia Australia -31.950500 \n", - "16 NaN Austria 47.516200 \n", - "17 NaN Azerbaijan 40.143100 \n", - "18 NaN Bahamas 25.034300 \n", - "19 NaN Bahrain 26.027500 \n", - "20 NaN Bangladesh 23.685000 \n", - "21 NaN Barbados 13.193900 \n", - "22 NaN Belarus 53.709800 \n", - "23 NaN Belgium 50.833300 \n", - "24 NaN Benin 9.307700 \n", - "25 NaN Bhutan 27.514200 \n", - "26 NaN Bolivia -16.290200 \n", - "27 NaN Bosnia and Herzegovina 43.915900 \n", - "28 NaN Brazil -14.235000 \n", - "29 NaN Brunei 4.535300 \n", - ".. ... ... ... \n", - "236 NaN Timor-Leste -8.874217 \n", - "237 NaN Belize 13.193900 \n", - "238 Recovered Canada 0.000000 \n", - "239 NaN Laos 19.856270 \n", - "240 NaN Libya 26.335100 \n", - "241 NaN West Bank and Gaza 31.952200 \n", - "242 NaN Guinea-Bissau 11.803700 \n", - "243 NaN Mali 17.570692 \n", - "244 NaN Saint Kitts and Nevis 17.357822 \n", - "245 Northwest Territories Canada 64.825500 \n", - "246 Yukon Canada 64.282300 \n", - "247 NaN Kosovo 42.602636 \n", - "248 NaN Burma 21.916200 \n", - "249 Anguilla United Kingdom 18.220600 \n", - "250 British Virgin Islands United Kingdom 18.420700 \n", - "251 Turks and Caicos Islands United Kingdom 21.694000 \n", - "252 NaN MS Zaandam 0.000000 \n", - "253 NaN Botswana -22.328500 \n", - "254 NaN Burundi -3.373100 \n", - "255 NaN Sierra Leone 8.460555 \n", - "256 Bonaire, Sint Eustatius and Saba Netherlands 12.178400 \n", - "257 NaN Malawi -13.254308 \n", - "258 Falkland Islands (Malvinas) United Kingdom -51.796300 \n", - "259 Saint Pierre and Miquelon France 46.885200 \n", - "260 NaN South Sudan 6.877000 \n", - "261 NaN Western Sahara 24.215500 \n", - "262 NaN Sao Tome and Principe 0.186360 \n", - "263 NaN Yemen 15.552727 \n", - "264 NaN Comoros -11.645500 \n", - "265 NaN Tajikistan 38.861034 \n", - "\n", - " Long 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 ... \\\n", - "0 65.000000 0 0 0 0 0 0 ... \n", - "1 20.168300 0 0 0 0 0 0 ... \n", - "2 1.659600 0 0 0 0 0 0 ... \n", - "3 1.521800 0 0 0 0 0 0 ... \n", - "4 17.873900 0 0 0 0 0 0 ... \n", - "5 -61.796400 0 0 0 0 0 0 ... \n", - "6 -63.616700 0 0 0 0 0 0 ... \n", - "7 45.038200 0 0 0 0 0 0 ... \n", - "8 149.012400 0 0 0 0 0 0 ... \n", - "9 151.209300 0 0 0 0 3 4 ... \n", - "10 130.845600 0 0 0 0 0 0 ... \n", - "11 153.400000 0 0 0 0 0 0 ... \n", - "12 138.600700 0 0 0 0 0 0 ... \n", - "13 145.970700 0 0 0 0 0 0 ... \n", - "14 144.963100 0 0 0 0 1 1 ... \n", - "15 115.860500 0 0 0 0 0 0 ... \n", - "16 14.550100 0 0 0 0 0 0 ... \n", - "17 47.576900 0 0 0 0 0 0 ... \n", - "18 -77.396300 0 0 0 0 0 0 ... \n", - "19 50.550000 0 0 0 0 0 0 ... \n", - "20 90.356300 0 0 0 0 0 0 ... \n", - "21 -59.543200 0 0 0 0 0 0 ... \n", - "22 27.953400 0 0 0 0 0 0 ... \n", - "23 4.000000 0 0 0 0 0 0 ... \n", - "24 2.315800 0 0 0 0 0 0 ... \n", - "25 90.433600 0 0 0 0 0 0 ... \n", - "26 -63.588700 0 0 0 0 0 0 ... \n", - "27 17.679100 0 0 0 0 0 0 ... \n", - "28 -51.925300 0 0 0 0 0 0 ... \n", - "29 114.727700 0 0 0 0 0 0 ... \n", - ".. ... ... ... ... ... ... ... ... \n", - "236 125.727539 0 0 0 0 0 0 ... \n", - "237 -59.543200 0 0 0 0 0 0 ... \n", - "238 0.000000 0 0 0 0 0 0 ... \n", - "239 102.495496 0 0 0 0 0 0 ... \n", - "240 17.228331 0 0 0 0 0 0 ... \n", - "241 35.233200 0 0 0 0 0 0 ... \n", - "242 -15.180400 0 0 0 0 0 0 ... \n", - "243 -3.996166 0 0 0 0 0 0 ... \n", - "244 -62.782998 0 0 0 0 0 0 ... \n", - "245 -124.845700 0 0 0 0 0 0 ... \n", - "246 -135.000000 0 0 0 0 0 0 ... \n", - "247 20.902977 0 0 0 0 0 0 ... \n", - "248 95.956000 0 0 0 0 0 0 ... \n", - "249 -63.068600 0 0 0 0 0 0 ... \n", - "250 -64.640000 0 0 0 0 0 0 ... \n", - "251 -71.797900 0 0 0 0 0 0 ... \n", - "252 0.000000 0 0 0 0 0 0 ... \n", - "253 24.684900 0 0 0 0 0 0 ... \n", - "254 29.918900 0 0 0 0 0 0 ... \n", - "255 -11.779889 0 0 0 0 0 0 ... \n", - "256 -68.238500 0 0 0 0 0 0 ... \n", - "257 34.301525 0 0 0 0 0 0 ... \n", - "258 -59.523600 0 0 0 0 0 0 ... \n", - "259 -56.315900 0 0 0 0 0 0 ... \n", - "260 31.307000 0 0 0 0 0 0 ... \n", - "261 -12.885800 0 0 0 0 0 0 ... \n", - "262 6.613081 0 0 0 0 0 0 ... \n", - "263 48.516388 0 0 0 0 0 0 ... \n", - "264 43.333300 0 0 0 0 0 0 ... \n", - "265 71.276093 0 0 0 0 0 0 ... \n", + " Province/State Country/Region Lat Long 1/22/20 \\\n", + "0 NaN Afghanistan 33.000000 65.000000 0 \n", + "1 NaN Albania 41.153300 20.168300 0 \n", + "2 NaN Algeria 28.033900 1.659600 0 \n", + "3 NaN Andorra 42.506300 1.521800 0 \n", + "4 NaN Angola -11.202700 17.873900 0 \n", + ".. ... ... ... ... ... \n", + "261 NaN Western Sahara 24.215500 -12.885800 0 \n", + "262 NaN Sao Tome and Principe 0.186360 6.613081 0 \n", + "263 NaN Yemen 15.552727 48.516388 0 \n", + "264 NaN Comoros -11.645500 43.333300 0 \n", + "265 NaN Tajikistan 38.861034 71.276093 0 \n", "\n", - " 4/22/20 4/23/20 4/24/20 4/25/20 4/26/20 4/27/20 4/28/20 4/29/20 \\\n", - "0 1176 1279 1351 1463 1531 1703 1828 1939 \n", - "1 634 663 678 712 726 736 750 766 \n", - "2 2910 3007 3127 3256 3382 3517 3649 3848 \n", - "3 723 723 731 738 738 743 743 743 \n", - "4 25 25 25 25 26 27 27 27 \n", - "5 24 24 24 24 24 24 24 24 \n", - "6 3144 3435 3607 3780 3892 4003 4127 4285 \n", - "7 1473 1523 1596 1677 1746 1808 1867 1932 \n", - "8 104 104 105 106 106 106 106 106 \n", - "9 2971 2976 2982 2994 3002 3004 3016 3016 \n", - "10 28 28 28 28 28 28 28 28 \n", - "11 1024 1026 1026 1026 1030 1033 1034 1033 \n", - "12 438 438 438 438 438 438 438 438 \n", - "13 205 207 207 207 212 214 218 219 \n", - "14 1336 1337 1343 1346 1349 1349 1354 1361 \n", - "15 546 546 548 549 549 549 550 551 \n", - "16 14925 15002 15071 15148 15225 15274 15357 15402 \n", - "17 1518 1548 1592 1617 1645 1678 1717 1766 \n", - "18 65 72 73 78 80 80 80 80 \n", - "19 2027 2217 2518 2588 2647 2723 2811 2921 \n", - "20 3772 4186 4689 4998 5416 5913 6462 7103 \n", - "21 75 76 77 79 79 80 80 80 \n", - "22 7281 8022 8773 9590 10463 11289 12208 13181 \n", - "23 41889 42797 44293 45325 46134 46687 47334 47859 \n", - "24 54 54 54 54 64 64 64 64 \n", - "25 6 7 7 7 7 7 7 7 \n", - "26 609 703 807 866 950 1014 1014 1110 \n", - "27 1368 1413 1421 1486 1516 1565 1585 1677 \n", - "28 45757 50036 54043 59324 63100 67446 73235 79685 \n", - "29 138 138 138 138 138 138 138 138 \n", - ".. ... ... ... ... ... ... ... ... \n", - "236 23 23 24 24 24 24 24 24 \n", - "237 18 18 18 18 18 18 18 18 \n", - "238 0 0 0 0 0 0 0 0 \n", - "239 19 19 19 19 19 19 19 19 \n", - "240 59 60 61 61 61 61 61 61 \n", - "241 474 480 484 342 342 342 343 344 \n", - "242 50 50 52 52 53 73 73 205 \n", - "243 293 309 325 370 389 408 424 482 \n", - "244 15 15 15 15 15 15 15 15 \n", - "245 5 5 5 5 5 5 5 5 \n", - "246 11 11 11 11 11 11 11 11 \n", - "247 630 669 703 731 763 780 790 799 \n", - "248 123 139 144 146 146 146 150 150 \n", - "249 3 3 3 3 3 3 3 3 \n", - "250 5 5 5 6 6 6 6 6 \n", - "251 11 11 11 11 11 12 12 12 \n", - "252 9 9 9 9 9 9 9 9 \n", - "253 22 22 22 22 22 22 23 23 \n", - "254 11 11 11 11 11 11 11 11 \n", - "255 61 64 82 82 93 93 104 104 \n", - "256 5 5 5 5 5 5 5 5 \n", - "257 23 33 33 33 34 36 36 36 \n", - "258 11 12 13 13 13 13 13 13 \n", - "259 1 1 1 1 1 1 1 1 \n", - "260 4 5 5 5 6 6 34 34 \n", - "261 6 6 6 6 6 6 6 6 \n", - "262 4 4 4 4 4 4 8 8 \n", - "263 1 1 1 1 1 1 1 6 \n", - "264 0 0 0 0 0 0 0 0 \n", - "265 0 0 0 0 0 0 0 0 \n", + " 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 ... 4/22/20 4/23/20 \\\n", + "0 0 0 0 0 0 ... 1176 1279 \n", + "1 0 0 0 0 0 ... 634 663 \n", + "2 0 0 0 0 0 ... 2910 3007 \n", + "3 0 0 0 0 0 ... 723 723 \n", + "4 0 0 0 0 0 ... 25 25 \n", + ".. ... ... ... ... ... ... ... ... \n", + "261 0 0 0 0 0 ... 6 6 \n", + "262 0 0 0 0 0 ... 4 4 \n", + "263 0 0 0 0 0 ... 1 1 \n", + "264 0 0 0 0 0 ... 0 0 \n", + "265 0 0 0 0 0 ... 0 0 \n", "\n", - " 4/30/20 5/1/20 \n", - "0 2171 2335 \n", - "1 773 782 \n", - "2 4006 4154 \n", - "3 745 745 \n", - "4 27 30 \n", - "5 24 25 \n", - "6 4428 4532 \n", - "7 2066 2148 \n", - "8 106 106 \n", - "9 3025 3030 \n", - "10 28 27 \n", - "11 1033 1034 \n", - "12 438 438 \n", - "13 221 221 \n", - "14 1364 1371 \n", - "15 551 551 \n", - "16 15452 15531 \n", - "17 1804 1854 \n", - "18 81 81 \n", - "19 3040 3170 \n", - "20 7667 8238 \n", - "21 81 81 \n", - "22 14027 14917 \n", - "23 48519 49032 \n", - "24 64 90 \n", - "25 7 7 \n", - "26 1110 1229 \n", - "27 1757 1781 \n", - "28 87187 92202 \n", - "29 138 138 \n", - ".. ... ... \n", - "236 24 24 \n", - "237 18 18 \n", - "238 0 0 \n", - "239 19 19 \n", - "240 61 63 \n", - "241 344 353 \n", - "242 205 257 \n", - "243 490 508 \n", - "244 15 15 \n", - "245 5 5 \n", - "246 11 11 \n", - "247 806 806 \n", - "248 151 151 \n", - "249 3 3 \n", - "250 6 6 \n", - "251 12 12 \n", - "252 9 9 \n", - "253 23 23 \n", - "254 11 11 \n", - "255 124 136 \n", - "256 5 6 \n", - "257 37 37 \n", - "258 13 13 \n", - "259 1 1 \n", - "260 35 45 \n", - "261 6 6 \n", - "262 14 16 \n", - "263 6 7 \n", - "264 1 1 \n", - "265 15 15 \n", + " 4/24/20 4/25/20 4/26/20 4/27/20 4/28/20 4/29/20 4/30/20 5/1/20 \n", + "0 1351 1463 1531 1703 1828 1939 2171 2335 \n", + "1 678 712 726 736 750 766 773 782 \n", + "2 3127 3256 3382 3517 3649 3848 4006 4154 \n", + "3 731 738 738 743 743 743 745 745 \n", + "4 25 25 26 27 27 27 27 30 \n", + ".. ... ... ... ... ... ... ... ... \n", + "261 6 6 6 6 6 6 6 6 \n", + "262 4 4 4 4 8 8 14 16 \n", + "263 1 1 1 1 1 6 6 7 \n", + "264 0 0 0 0 0 0 1 1 \n", + "265 0 0 0 0 0 0 15 15 \n", "\n", "[266 rows x 105 columns]" ] }, - "execution_count": 6, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -1829,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -1890,7 +492,7 @@ "[0 rows x 104 columns]" ] }, - "execution_count": 7, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -1907,503 +509,128 @@ "Il n'y a pas de données manquantes. \n", "\n", "## Seconde partie : génération montrant l'évolution de nombre de cas cumulé\n", - "\n", - "On crée le tableau, en supprimant les pays et régions qui ne nous intéressent pas. Pour cela, on crée un dictionnaire contenant les pays qui nous intéresse et retirer les autres, dont la Chine que l'on a séparé du reste. \n", - "\n", - "On change Hong Kong en tant que pays pour pouvoir le voir plus tard sur le graphe.\n", - "On en profite pour retirer les colonnes longitude/latitude qui ne servent à rien ici :" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + "\n", + "On crée le tableau, en supprimant les pays et régions qui ne nous intéressent pas. Pour cela, on crée un dictionnaire contenant les pays qui nous intéresse et retirer les autres, dont la Chine que l'on a séparé du reste. \n", + "\n", + "On change Hong Kong en tant que pays pour pouvoir le voir plus tard sur le graphe.\n", + "On en profite pour retirer les colonnes longitude/latitude qui ne servent à rien ici :" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "
01234567891011
1/22/2000000200001548
1/23/2000000200001641
1/24/2002000200002918
1/25/20030002000021401
1/26/20030004000052067
1/27/20031004000052869
1/28/20044007000055501
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", - " \n", " \n", - " \n", - " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", " \n", - " \n", - " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", " \n", - " \n", - " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2421,277 +648,7 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2706,7 +663,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2721,7 +678,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2736,22 +693,7 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2766,97 +708,7 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2876,136 +728,36 @@ "" ], "text/plain": [ - " 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", + "Country/Region Belgium France Germany Iran Italy Japan Netherlands \\\n", + "2020-01-22 0 0 0 0 0 2 0 \n", + "2020-01-23 0 0 0 0 0 2 0 \n", + "2020-01-24 0 2 0 0 0 2 0 \n", + "2020-01-25 0 3 0 0 0 2 0 \n", + "2020-01-26 0 3 0 0 0 4 0 \n", + "... ... ... ... ... ... ... ... \n", + "2020-04-27 46687 164589 158758 91472 199414 14153 38245 \n", + "2020-04-28 47334 167605 159912 92584 201505 13736 38416 \n", + "2020-04-29 47859 165093 161539 93657 203591 13895 38802 \n", + "2020-04-30 48519 165764 163009 94640 205463 14088 39316 \n", + "2020-05-01 49032 165764 164077 95646 207428 14305 39791 \n", "\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", + "Country/Region Portugal Spain United Kingdom US China \n", + "2020-01-22 0 0 0 1 548 \n", + "2020-01-23 0 0 0 1 641 \n", + "2020-01-24 0 0 0 2 918 \n", + "2020-01-25 0 0 0 2 1401 \n", + "2020-01-26 0 0 0 5 2067 \n", + "... ... ... ... ... ... \n", + "2020-04-27 24027 209465 157149 988197 82881 \n", + "2020-04-28 24322 210773 161145 1012582 82903 \n", + "2020-04-29 24505 212917 165221 1039909 82907 \n", + "2020-04-30 25045 213435 171253 1069424 82919 \n", + "2020-05-01 25351 213435 177454 1103461 82920 \n", "\n", "[101 rows x 12 columns]" ] }, - "execution_count": 65, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -3033,32 +785,33 @@ " new_data = raw_data[raw_data.apply(filter_countries, axis=1)]\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.append(only_china, sort='False')\n", "new_data = new_data.drop(columns=['Lat', 'Long','Province/State'])\n", "new_data = new_data.T\n", "\n", + "new_data.index = [pd.to_datetime(datetext) for datetext in new_data.index]\n", + "new_data = new_data.sort_index()\n", "new_data" ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 64, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] -- 2.18.1
Country/RegionBelgiumFranceGermanyIranItalyJapanNetherlandsPortugalSpainUnited KingdomUSChina
1/29/200540072020-01-22000056077
1/30/20054001120000581311548
1/31/202020-01-230550215000279790
2/1/2006802200012811878641
2/10/2011114032602020-01-240281142316
2/11/2011116032600281244337
2/12/2011116032800291244709
2/13/2011116032800291359842918
2/14/20111162020-01-25032900291366302
2/15/2011216034300291368357
2/16/2011216035900291370456
2/17/20112160366002913723741401
2/18/20112162020-01-26037400291374149
2/19/2011216238400291374556
2/2/204061002200012816615
2/20/2011216539400291375009
2/21/2011216182010500291575482
2/22/2011216286212200291576932
2/23/20112164315514700291576948
2/24/201121661229159002135177162
2/25/201141795322170006135177670
2/26/20118271394531890013135778075
2/27/201384624565521410151558785082067
......
4/10/20266679067612217168192147577553023097154721582737375849653581952
4/11/20280189379012490870029152271600524413159871630277899152639682014
4/12/202964712063312785471686156363674825587165851668318427955531382130
4/13/203058912429813007273303159516737026551169341700998862158061982204
4/14/203111912925713135974877162488764527419174481725419387360767082294
4/15/203357313247313475376389165155810028153180911776449847663635082339
4/16/2034809144944137698779951689418626292141884118494810309366759282386
4/17/2036138146923141397794941724349787304491902219083910869269970682739
4/18/20371831469061433428086817592510296315891968519172611421773219782763
4/19/20384961518081451848221117897210797326552020619867412006775880982780
4/2/201534859105847945046811524224951469790341120653371824362281630
4/20/20399831541881470658350518122810797334052086320021012474378432682792
4/21/20409561569211482918480218395711135341342137920417812904481186582824
4/22/20418891547151506488599618732711512348422198220838913349584035182835
4/23/20427971570261531298702618997312368357292235321302413807886917082849
4/24/20442931586361549998819419299412829365352279720299014346490535882864
4/25/20453251602921565138932819535113231371902339220590514837793815482872
4/26/20461341608471577709048119767513441378452386420763415284096578582875
4/27/202020-04-274668716458915875882881
4/28/202020-04-284733416760515991282903
4/29/202020-04-294785916509316153982907
4/3/201677064338911595318311982726171572398861191993816827536781666
4/30/202020-04-304851916576416300982919
4/4/2018431686059609255743124632313916627105241261684190330865081681
4/5/20196917047810012358226128948313917851112781316464780633680281712
4/6/20208147439010337460500132547365418803117301366755160836631781751
4/7/20221947816710766362589135586390619580124421419425524239712181783
4/8/20234038204811329664586139422425720549131411482206073342865481849
4/9/20249838633411818166220143626466721762139561532226507746278081910
5/1/202020-05-0149032165764164077