From 6a7af429f874394963f80b0d4fb2b3da34bc6555 Mon Sep 17 00:00:00 2001 From: e37f53768e87588f0cb324bd4088e654 Date: Sun, 14 Jun 2020 20:07:12 +0000 Subject: [PATCH] =?UTF-8?q?Exercice=20evalu=C3=A9=20par=20les=20pairs?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- module2/exo2/exercice.ipynb | 176 +- module3/exo1/incidence-PAY-3.csv | 1848 ---------- module3/exo2/exercice.ipynb | 2363 +++++++++++- module3/exo3/SARS-COV2-Copy1.ipynb | 5475 ++++++++++++++++++++++++++++ module3/exo3/SARS-COV2.ipynb | 3349 ++++++++++++++--- 5 files changed, 10801 insertions(+), 2410 deletions(-) delete mode 100644 module3/exo1/incidence-PAY-3.csv create mode 100644 module3/exo3/SARS-COV2-Copy1.ipynb diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe37..7235759 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,176 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "m=(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.113000000000001" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean(m)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.8" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.min(m)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "23.4" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.max(m)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.5" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.median(m)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4.312369534258399" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.std(m)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "18.596531" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.var(m)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4.312369534258399" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "v=np.var(m)\n", + "np.sqrt(v)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +187,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module3/exo1/incidence-PAY-3.csv b/module3/exo1/incidence-PAY-3.csv deleted file mode 100644 index acd11cd..0000000 --- a/module3/exo1/incidence-PAY-3.csv +++ /dev/null @@ -1,1848 +0,0 @@ -# @source="r�seau Sentinelles, INSERM, Sorbonne Universit�, http://www.sentiweb.fr", @meta={"period":[198444,202011],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2020-06-13T19:38:46+02:00 -week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name -202011,3,101704,93652,109756,154,142,166,FR,France -202010,3,104977,96650,113304,159,146,172,FR,France -202009,3,110696,102066,119326,168,155,181,FR,France -202008,3,143753,133984,153522,218,203,233,FR,France -202007,3,183610,172812,194408,279,263,295,FR,France 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"code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1540 rows × 10 columns

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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202023784201690102FRFrance
120202272800638001FRFrance
22020217602361168102FRFrance
32020207824201628102FRFrance
420201973100753001FRFrance
52020187849981600102FRFrance
620201772720658001FRFrance
72020167758781438102FRFrance
8202015719186753161315FRFrance
92020147387922275531639FRFrance
10202013773265236941611814FRFrance
112020127812357901045612816FRFrance
12202011710198756812828151119FRFrance
1320201079011669111331141018FRFrance
142020097136311054416718211626FRFrance
15202008710424770813140161220FRFrance
1620200778959657411344141018FRFrance
1720200679264692511603141018FRFrance
1820200578505631410696131016FRFrance
192020047799158311015112915FRFrance
2020200375968410078369612FRFrance
21202002765344530853810713FRFrance
2220200179835701912651151119FRFrance
232019527794152461063612816FRFrance
2420195175823367579719612FRFrance
25201950764244276857210713FRFrance
26201949766214540870210713FRFrance
2720194875542338377018511FRFrance
282019477753650581001411715FRFrance
292019467263813163960426FRFrance
.................................
15101991267176081130423912312042FRFrance
15111991257161691070021638281838FRFrance
15121991247161711007122271281739FRFrance
1513199123711947767116223211329FRFrance
1514199122715452995320951271737FRFrance
1515199121714903897520831261636FRFrance
15161991207190531274225364342345FRFrance
15171991197167391124622232291939FRFrance
15181991187213851388228888382551FRFrance
1519199117713462887718047241632FRFrance
15201991167148571006819646261834FRFrance
1521199115713975978118169251832FRFrance
1522199114712265768416846221430FRFrance
152319911379567604113093171123FRFrance
1524199112710864733114397191325FRFrance
15251991117155741118419964271935FRFrance
15261991107166431137221914292038FRFrance
1527199109713741878018702241533FRFrance
1528199108713289881317765231531FRFrance
1529199107712337807716597221529FRFrance
1530199106710877701314741191226FRFrance
1531199105710442654414340181125FRFrance
15321991047791345631126314820FRFrance
15331991037153871048420290271836FRFrance
15341991027162771104621508292038FRFrance
15351991017155651027120859271836FRFrance
15361990527193751329525455342345FRFrance
15371990517190801380724353342543FRFrance
1538199050711079666015498201228FRFrance
15391990497114302610205FRFrance
\n", + "

1540 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202023 7 842 0 1690 1 0 \n", + "1 202022 7 280 0 638 0 0 \n", + "2 202021 7 602 36 1168 1 0 \n", + "3 202020 7 824 20 1628 1 0 \n", + "4 202019 7 310 0 753 0 0 \n", + "5 202018 7 849 98 1600 1 0 \n", + "6 202017 7 272 0 658 0 0 \n", + "7 202016 7 758 78 1438 1 0 \n", + "8 202015 7 1918 675 3161 3 1 \n", + "9 202014 7 3879 2227 5531 6 3 \n", + "10 202013 7 7326 5236 9416 11 8 \n", + "11 202012 7 8123 5790 10456 12 8 \n", + "12 202011 7 10198 7568 12828 15 11 \n", + "13 202010 7 9011 6691 11331 14 10 \n", + "14 202009 7 13631 10544 16718 21 16 \n", + "15 202008 7 10424 7708 13140 16 12 \n", + "16 202007 7 8959 6574 11344 14 10 \n", + "17 202006 7 9264 6925 11603 14 10 \n", + "18 202005 7 8505 6314 10696 13 10 \n", + "19 202004 7 7991 5831 10151 12 9 \n", + "20 202003 7 5968 4100 7836 9 6 \n", + "21 202002 7 6534 4530 8538 10 7 \n", + "22 202001 7 9835 7019 12651 15 11 \n", + "23 201952 7 7941 5246 10636 12 8 \n", + "24 201951 7 5823 3675 7971 9 6 \n", + "25 201950 7 6424 4276 8572 10 7 \n", + "26 201949 7 6621 4540 8702 10 7 \n", + "27 201948 7 5542 3383 7701 8 5 \n", + "28 201947 7 7536 5058 10014 11 7 \n", + "29 201946 7 2638 1316 3960 4 2 \n", + "... ... ... ... ... ... ... ... \n", + "1510 199126 7 17608 11304 23912 31 20 \n", + "1511 199125 7 16169 10700 21638 28 18 \n", + "1512 199124 7 16171 10071 22271 28 17 \n", + "1513 199123 7 11947 7671 16223 21 13 \n", + "1514 199122 7 15452 9953 20951 27 17 \n", + "1515 199121 7 14903 8975 20831 26 16 \n", + "1516 199120 7 19053 12742 25364 34 23 \n", + "1517 199119 7 16739 11246 22232 29 19 \n", + "1518 199118 7 21385 13882 28888 38 25 \n", + "1519 199117 7 13462 8877 18047 24 16 \n", + "1520 199116 7 14857 10068 19646 26 18 \n", + "1521 199115 7 13975 9781 18169 25 18 \n", + "1522 199114 7 12265 7684 16846 22 14 \n", + "1523 199113 7 9567 6041 13093 17 11 \n", + "1524 199112 7 10864 7331 14397 19 13 \n", + "1525 199111 7 15574 11184 19964 27 19 \n", + "1526 199110 7 16643 11372 21914 29 20 \n", + "1527 199109 7 13741 8780 18702 24 15 \n", + "1528 199108 7 13289 8813 17765 23 15 \n", + "1529 199107 7 12337 8077 16597 22 15 \n", + "1530 199106 7 10877 7013 14741 19 12 \n", + "1531 199105 7 10442 6544 14340 18 11 \n", + "1532 199104 7 7913 4563 11263 14 8 \n", + "1533 199103 7 15387 10484 20290 27 18 \n", + "1534 199102 7 16277 11046 21508 29 20 \n", + "1535 199101 7 15565 10271 20859 27 18 \n", + "1536 199052 7 19375 13295 25455 34 23 \n", + "1537 199051 7 19080 13807 24353 34 25 \n", + "1538 199050 7 11079 6660 15498 20 12 \n", + "1539 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 2 FR France \n", + "1 1 FR France \n", + "2 2 FR France \n", + "3 2 FR France \n", + "4 1 FR France \n", + "5 2 FR France \n", + "6 1 FR France \n", + "7 2 FR France \n", + "8 5 FR France \n", + "9 9 FR France \n", + "10 14 FR France \n", + "11 16 FR France \n", + "12 19 FR France \n", + "13 18 FR France \n", + "14 26 FR France \n", + "15 20 FR France \n", + "16 18 FR France \n", + "17 18 FR France \n", + "18 16 FR France \n", + "19 15 FR France \n", + "20 12 FR France \n", + "21 13 FR France \n", + "22 19 FR France \n", + "23 16 FR France \n", + "24 12 FR France \n", + "25 13 FR France \n", + "26 13 FR France \n", + "27 11 FR France \n", + "28 15 FR France \n", + "29 6 FR France \n", + "... ... ... ... \n", + "1510 42 FR France \n", + "1511 38 FR France \n", + "1512 39 FR France \n", + "1513 29 FR France \n", + "1514 37 FR France \n", + "1515 36 FR France \n", + "1516 45 FR France \n", + "1517 39 FR France \n", + "1518 51 FR France \n", + "1519 32 FR France \n", + "1520 34 FR France \n", + "1521 32 FR France \n", + "1522 30 FR France \n", + "1523 23 FR France \n", + "1524 25 FR France \n", + "1525 35 FR France \n", + "1526 38 FR France \n", + "1527 33 FR France \n", + "1528 31 FR France \n", + "1529 29 FR France \n", + "1530 26 FR France \n", + "1531 25 FR France \n", + "1532 20 FR France \n", + "1533 36 FR France \n", + "1534 38 FR France \n", + "1535 36 FR France \n", + "1536 45 FR France \n", + "1537 43 FR France \n", + "1538 28 FR France \n", + "1539 5 FR France \n", + "\n", + "[1540 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def convert_week(year_and_week_int):\n", + " year_and_week_str = str(year_and_week_int)\n", + " year = int(year_and_week_str[:4])\n", + " week = int(year_and_week_str[4:])\n", + " w = isoweek.Week(year, week)\n", + " return pd.Period(w.day(0), 'W')\n", + "\n", + "data['period'] = [convert_week(yw) for yw in data['week']]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "periods = sorted_data.index\n", + "for p1, p2 in zip(periods[:-1], periods[1:]):\n", + " delta = p2.to_timestamp() - p1.end_time\n", + " if delta > pd.Timedelta('1s'):\n", + " print(p1, p2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#voir si en modifiant ca on modifie la solution" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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3kbyJrlXRSs3QwmX319Z9gyFrRoPvppmtclXIhUMKiA+tHs4hbNOwyd+LVhqdk9dGRzjMmtQeuo5l2W6IrqKOwQZkn6vgCgeNoBGNWstspIEPU42oriS4LJ5HMywHWalIe0TXckhxr7JELhxSoFJHEpwf6m3DdjlSOkSlxWZHOExqj7Ic7OvUNWqaz5XfT10jaNT6zNSxApGQdjmHFNFKWShDzRhL8iHSnnZeeG8UIyu3UlrLYaA0OjJGZQw65TCiLALGGAiAoWlNqy3DtdqCpoGIRq1lNtLgepWoPs4hiyigZnMOgD/bPwn4Vnko6yhEZm6lsOUh++Scw5U/faapPZazAh/sg9K5i9fLmK1pNtdysEAEaBpBJ8rLZ2QE/lwJrY9WagS5K7+n8iHSWw72/5yQHoXwu5XS7yfgo3RrqqjX59FKAEalcOCCVG74Imp1FmMgsslhs0kvR9ViMBzJq1Ge55AV/JZDekI6C0uuEZaDfFpByyHtfrkgzS2HEY3ntvTg51JIWlZJcPKWfDCEvQyicBiN8xefdGW3kmghMLTCcmCuyy4npLODdx+pTssh+oHEiS5rhHCQ3/2AcKibc2it5RCnh/S4xoX/+ScAwPtOmecuEyV6lv7pUtVE0dBCJyc+gQGtj2RIg6orHKItB5AdOdQs4r1iMhiarSdpWvMslrEOb9JmQoY0s3klQdGphVqWXBwNuyHCoUbv8bScg5sEl1sOow9po5WCbiT/7yUnkqMW5wB4VS5HE7ggHSybvhfLZyG0iHPggtfQKI9Wygj8NjLmn+iSuktqDQNRww4TAj98bJNbITYryIph3iY0R+popWCom38Bz7wOG2SitjUqLQfTEw5ilnmAc4ATrdSkl6NqMbcFq95Ei0VEqWpi4+7+ph83a3zmjtX49O3PAvA0Z4v5J/CkrqVak64obMohobK3rngN77txRaLj1j4v//eAUlfnMGr1O54LhxTwVWVNoC2Ik86e/lJg7JRc4aDeXnQrtZqsSgPPcqj6GriIEwcDXEK6FZyDoVHTzPmbH9vklnu++hdrcM63H2l4g6O+4QpWbc5WgxZx97Pb8MvV2wGIXf2Yb+z/acOeRPus9Y6Jk+iGXf14aN2uRPtPC1mJkOfytKOIX2+r3/FcOKSAv/Be/O3EQX7a15ejb9jve+cTZjghLZ7D6LMc+MtkMaB3qBpYDnihrEYTff92tJLIOTTnpfzKr190G8U8tt6eMIcb3PXs4z9+Ghd9fwUGSo1vwSoKh6rFMGeynRn/4ydei72P4YqJ57ceiFxHfB///HuP4aM/eir5yaaA7FIOEtIpOYfREspKRPOJ6CEieomI1hLR3zvLpxHRA0S03vk/VdjmaiLaQETriOg8YfkpRLTG+e16cvwkRNRGRHc4y1cS0YLsL7U+iA9azPJM4p8WB49KKyhVot1Kms+tNPosB/El7hcmp6pE8BNsK6lZ1yhbDq3gHPgzT8DTpsIL2+yJthn3ll8TY4BpMpx//GwcOqMLbYaG/1i+Huf/+6M19/FPd7+AXzvWVRjSREBlgVrRSml1DL6fVldCiGM5VAH8A2PsGABLAVxJRMcCuArAcsbYEQCWO9/h/LYMwHEAzgdwAxHpzr5uBHAFgCOcv/Od5ZcD2M8YOxzAdQC+kcG1ZYqKj1BLR0jXetiuW0kY66IrSfO5lUaf5SC+PAPlcMuBiJrKOVRMy81zaCYRLsK91tEn80PhI6QthoKuYUpnAaWqhW8/8ApefqOv5j6eeX1/zXVapShlFboqY9QU3mOM7WCMPeN87gPwEoC5AC4EcKuz2q0A3uN8vhDA7YyxEmNsE4ANAJYQ0RwAkxhjK5itht8mbcP3dReAc4garUMlg2jildIS0jXmc5Vb6aF/OMv9rAu3pNVaRRqYYZaDyDk4SXDNJIZNi8HQueXQvLId8jkAzYtQSRtmmeYYnHPQNULR0FwLOdY+YrhqWuV+kQ+blbDg1ziqCGnH3XMygJUAZjHGdgC2AAEw01ltLoAtwmZbnWVznc/yct82jLEqgAMApic5t0ZDlOLi4E7igqi1Lt+vuFpnm+5+9oWyjkK3kjjZD/iEg2A5wL5Oo4kafNVi0B3OoVWWA3/mjRaIfO/N8Jz5OQfbOmszdF8wQi3It0N1e1r1LgTdSv7fU+c5cMthFLiVAABENAHAzwF8mjEW0coLKo2fRSyP2kY+hyuIaBURrdq9e7dik8ZBlOLi4E5COtUOyQtyDmLvA9Gt1GqyKg3EiU/Mkg5yDtR8y4FzDk0q2yFe24Kr7kOfIyybds3N6IzGj2UxWMwWvG2G5rpP4yBOLkHL3EoyIS19rztDejRYDkRUgC0YfsIY+4WzeKfjKoLzn8ePbQUwX9h8HoDtzvJ5iuW+bYjIADAZQCDejjF2E2NsMWNscXd3d5xTzwziSztcsVB0WkomilaqlenpRvN467UXvEfUCkI6LG48DcR7OCQIh0C0ksZDWZsXraQ3mXMIu6/NIsObUXlWDsks6BqKhpZoTNWqXwQAlZBx8tDLjQ1pbVQSnGdxtbbOV5xoJQJwM4CXGGPfEX66F8BlzufLANwjLF/mRCAthE08P+m4nvqIaKmzz0ulbfi+LgLwIBth7bhEE69UNdFVtN09WbqVKoo8B069HD17oo9zaAYhfdfTW3HkF+7HlpQdrWSI1++zHHxJcAAcy6FZArAqENLNKtsR5lppluXQDLnrEav2wXTXrZTeclC9QqpxwhjDR29pbEhrrfIZaYWFuF0rs6Tj1FY6HcCHAawhotXOss8DuBbAnUR0OYDXAVwMAIyxtUR0J4AXYUc6XckY42/CJwHcAqADwP3OH2ALnx8T0QbYFsOyOq+rJr7/yEZ0FnVcetqCWOv73EoVC51FA/sHK4kke9wyALJcfPkr50Mj8sXAN2PQ3LN6GwDg1T0DmD+ts+79mZZT9ZQBQyHRSgBzOAetyZyDV3ivGccNmyCbJhwarHsxxoTqok6Pbo3QVtCwrWco9n7k81TdH5X7pRmqZS3LIe048gsHC8UWpaPVFA6Msceg5gQA4JyQba4BcI1i+SoAxyuWD8MRLs1AuWrh2vtfBoDYwkEkvYarpuvuSRatFL0ub4Qir9Ze0J1zSF+CIA3cDmkZBY6ZloX2gt3+0285iBnnaHq0UsW0MKHNfhUMnRJF06RF2DEaec0bd/e7iZdphcNwxcQn/udpfO68o3DcQZN9v4lKjWl5dKzfckg20cXRxi/575WBZc1wz4mvIGMMdz61xfd7Ws5APPVWBp6MywzpVSkKcH3p3hfcwV+qWOhyJpO05TNU4IOJr/evFx7n+73ZnAPXfLLqHWFazBV0A6GcA3MzpJvFOZSrFoo6j1ZqjsXSDLfSl+9diwVX3ed+P+fbj7if097aVZv34+F1u/Gvv3ox8Jt47mXTcic5rvQYTiiriFre40BDnZi3p5mcCgBs2TeE5RLHkd5yEPbRQlJ6XAqHfQNlAH6ytxb+tGGvG5s/XDXR4UxyyQrv1RIOnhn+rhNmB6waUYFvhIa5q28Yn779WZcs5sfoz6jUgsXgao6iW0nmHHiGdLMsh3LVCzBoFucwHGY5ZDip3fL45tDf0k6eW/bb/JPKzehLFK0yj5CucstBQ5uh+7apdRryo+gdqsR6PmHCL8tnK+6rrxSsiZX2WDzXB2gt5zAuhQN/aEkfHl9dtBzSls9QoexoCWXTQkEPPpr2go6r33k0gPAIjTCs39mHvf2lyHW+cf86/HL1dvzqeTuIrJqxcKg6biXAT0j3DnkvFq/138w8h7LpCYdmRSu1mpBOK4R4cMK8qR2B3yq+RFHTnfi5BWgo3Eq1zkN+Z/7smw/hK7/2rJYwV23YmM0y+k48N5WwT2vdW4y5lmwuHJqMtLVLuIlXqlrocKKVkrxjtSxE13KoqoUDAFzkNB1KOvDOve5RvOeGP0Wuw+8L5xh4vH9mloMlWA6Cq+rvb1/tfmbgnIMG1qRQPtGt1KyCf80kpFX3MG0w4Jb9NpnMORoRYs0x3tQH8CZkQw8Kh9pd3oLLbn/qde84Ic/qwJC6um2SBLxaEG+rqpBhWreoxeAqK7lbqcngzyzpe8jN5uGKic6M3UoaecRd2WQB3yyH4UxiSQhpzhls2RcdJeIKBydyh5Om/cPZWQ5tCssB8CYwxgACueUsmpVzMJYtB9UEmnbO6R+uONsHz1Puq8C/cc5BrBPGUWv+VL0zZUkIqdA7HCYcGpO3ozpe2mdpMeYK0Vd3D+CJV/eiz9n/UNnEfz60wS2g2EiMyzahaU3qimA5dBaTC4eodQu65r7E5arparLB9ZJPmrt6o91J8vlxfyfXvrKyHEwLaHcGvSwcTMaggRxC2ptImuFmaQXn8Ne3rFIub4hwMBlkRT8t58DzblTvkBxNJ+c5GFowOzqN5RCHsA2zHLIKrrDPQ+AcFArUH17ahb7hCia2F5LtmMH1HIi5Ghu/9i70Dlfwrd+tw9TOIo6fOzlsD5lgXFoOaU1qPsiHKybaC7oTs5+N5VDQNVSqnJD2OpPJ4H0Hkpibb/QOAwCmdRUj1+Onx6Oi+ASuGvhpYDEmcA7qPtI8lJUnpdUTsXRgsILvP7Kx5vMuCZyD1sTkOxUaIRxUY6Xe46hcVaJwKFctBSFNAYs3KecQPKb9+1cuPM4XsNEbIhyyDA31EdIhlso1972UeL8WU3sOKqblWk1hnoUsMS6FQ1qTumrZftRS1UKboSWOqIm2HLzQzYowWcngk2aSQb7TEQ4zJkQLB9GtxBhzeYF+RSRGGlRNy40Qky0HbgkxMLeHNFDfJPaFe17Atfe/jMc37g1dhzGGctVCm8A5NCoM8m9/8jSu+vnzkcIqK+EgTt6qsVJvxdBaBfDKpiU0rbE/GBoFCGGWwq3kP6a9g4Ku+Xi6Xkmh+dCbD461vyS4+5lt7ucw12tfCqvbYv6aat5y5rojc+HQIKQdIOWq5ZrFbQUdGiVrDBP13hu6horJYFnMrX2vgqYRNEqmUXPhML2rLXI9PjHZ/IfX2lGeyNPCYl5C35DsVhITAH2WQ/qXmWuPUSQkn9A8zqFxeQ6/WfMGbn9qS6QAyOrYfSEl0TnSulb5VmrOQXArVS13bR6Fp+vkPte451GzqgDPodA1nyt20Ln+O65Yik1ffxfOOHxG6HmnwXDFxB2rvKQ3WRhxdE+IfudUsBjDpI6gcDAt5s0/uXBoDNIKh6r0cHSNEpbPCF+3qGu22ShoQmEwdC2R62OgZE+OtfI6+PlpRL5ooqzcLKblEW2yW8klTRkcy8Feb/FX/4A1NdpEhoHPQ1FylN/vZnIOXABc4mizIrLSbLcLJSpUzy993Z/w7X1uJZFz4NFKGuETZx3mI6Zrcw7q3z9880oMlU133BR08rlieZLlghldICK3onFWz1bmTp4K6cs9vYYrVwXGoOQpLAu5W6nRECf0JJN7xbRcjbej6FgOCVxUUQPT0AlV03JfsCjNoJAwoobvs9YWfJdE5CPusirVIWZIWwyY2G74frOX221CRQ3z3ue2IQ04eRp13e7LpgvRSg0OHyxHPOOsLIcnN3mTler5pQ0RtoTnJEPulsiEz4DNl3UWDTdXJ855hP38x/V7sHLTXs9y0PxuJR5ayscbD8/OSvjK1uja7eouBm0JEm05LMYwUREqbDouUACuG7SRGJfCQVSkkiSTVUzLJZ4mtReyJ6RN7+HXthzinzefjGppTWL+h+j2yUw4CIQ0YL+433zfiQBEzgE+zgEAjpg5MdXx+B6ifPyeJmafV1MsB2cAiveCI2qyvPXxzXj5jahWKh7E9poqgZP2Er0E0uBvMiHt5jlw4eBo9uLYrnUeUe/MlM6iwDmQb7/cMuWVDBxDNPV1y4hbfyuNsGfwK04colsptxwaBHGySELsVk3mxjNP6ijYbqUkwiFiPBka4b41O9wkoyjhUNApUZcoPgHWcg+J2rvoVipn4FZijPncSoCtrbvEs+kdm8ibSID0LwKPXollOXDOQW98nkM1peXwpXvX4vx//6Pyt2de349fPqsmSFXCPa0A5ByBMv/A1z7Xm4jLVS/QAfCP7VqcQ9TPFmM+QlocJwMlE7rmuZo0ytqtFM3DuSUlG2CCAAAgAElEQVT9U7w7FmOYoBAOlmg5GEHFImuMS+EgDpBKjaQYf2tOC71D9ks3qd1IHq0UMdJ39dm5CB+71Y5/DwtlBWyX1mCCKAj+AonE5JOb9mGXQ1Rz8NMzLU84dBX1TCwHfpsMTRMmCTHZjZcrt91BSfzS4SB3n2Eom/7oj2ZYDlywJ7EcaoXj/uUNj+PTd6x2BY84UX/gB08Eo4TScg5cgVCcp6h8VC0vlFUsnwH4x3Y9GfCVquVFQsmcQ6mKjoLuuhb5eMrKrRRWG4vjiFm2tZtU0bBLnduBER3S+DAtFuDIGolxKRzE51Vr4tN8DXY8y2FiewFEhIfX7Y79okUNTP7y7h2whUTUw5/W1Ya9TvHAOHAtBzcLmeH9P1iBi3+wQnl+psUw7LiVJrYXMhEOpvASG4IGKYas8vtI8CcxpZ0/vEdn72DDrj589s7V/t4cMufQhH4OXCFpVzzjMAUi7in97MnXsat32PfM+ktVvC41bEobrcS3U20vWpumxVyTTSzZDchupTqEg8l8fIa43/5S1Sd89cwth+h3wtCchlUJ83Tc90Qjt36b+FtOSDcY4oAsSxPfU5v3hRbnqpiWG7I2qcPA7r4StvUM4efPxCNMo7Qkfkw+iMMypAE7AmJvf3zhUJE4h55Be+J9ba80YViCcHDM5kkdRk3rKg68MFnPN1zQNV/IKn8sRH6LLnU2r/Ofuw4/+T/P4BfPbMOG3f3uOmUpNJBHSTWyphOfMNoUlkOYYKoloI+dMwkA8MV71uK8f38UFZP5rC9ZgRkqm6myhaMsB7nSrktIVz3SGPD3Qpd3s3nPAP7uZ8/GqoFUsSwhFFnmHEx0FIUWu9xyaJJbSXOFQ7Lj8fV1jTChzT8+RLdSLhwahLAEoVd39+Pi76/Al3+11l0mmnZVy3Jj5ycJoWavCpNNFKK0Fi6kNIV2JWN6V9EtOx4HfN/c7OcuLLnWjetWYgxDZXubSe2FRPxGGLimqWueW6FgaO5kXDUZnt3SA8AWIJe8+RB87ryjnPNKd3xu9bmZ7c4LLSpz8svWjJpOb//OowDUocVhk1ctjVf0Ue8frKBiWm79LwB44lV/IuAVP34aS7++HLt6h1O5RlWbDEo9OmRC2uu2B996Iq7+xRr86rntWLV5P8Lw3WWLADhuJcFyEBWqgXIVnQXvnrgWambRStHCWidCQSP84JFX8dj6PbH3y+9HQQ9aDnYovX2P8zyHBkEcIKJGxv2Iq4SYZZMxvOuE2fa6VdutVDQ0n8katwwwfw8+/tZDQ3MO+IsT6VaaYAuHuJMmJwS5xrqrz+YaOGnGYQpuJe4imNSRrVtJF8z/gua5mFZu2ov33fg4AFvjLxoa3vemec626Y7J3Upe2RP7/4Cg4co+3GbWdFKRimFCqZawksdCWagcDNgWhYyewQqWfG05vvnbl+OcLgDvWdRyK1Ut5o53sU0oYBdWDDtvXastnDud7GHbrSRwDoafc2gXrj9zQroG52DoXm7FX928MraVVhXeE1k4WHm0UuMhjo93XPdo4HeeNAY4sfnOS1w2LfxmzY5AueI9NfokeMe1D/zek+eGElrcrVTLciibVuzUfNdycC6cF+KTr8NSCYf2bN1KOnlheiLnINbC4S+VF36Y0q3kzBU82oq/oAcGvWPJeQ58Anu/xMc0Akksh1qhy/ItqphWYHIJwwMv7oy1HlDLrSS8N6ZASAsTOCBZDiHCIcr9w5WaqmW5Co9cPmOwZKJDuL9ZE9I13UpEvjC5sFpPMqqCIOUKKLe0TSYQ0nmeQ2MQNvD4AxerkFqMuYksa7YewJZ9Q4GG2lv3x2uYHqcnM4+uKBrh6/AyGPti8g58cufH526lgGbC+H+PkLYthwzcSoIvdUpn0dm34U7GQwrNimt7ad1KXEN1+3A4Avljt63C4xtsU58Laf6M+SSyJqOSyLt6h0PPP4nlEDdHhWPj7oFAtEsYktzdqFDWQV9uDPM1rwI8zkEc/jJfawiWW9h94xZRuWrhu39YD8AJZZXcSh1KQrrGBcZETctBCnOPWypcfE+464hfl4+QzoVDYyAPbC4M+AMUhYMdm28Psp4hezL++l+e4Nt+IGbtIX5cIsKShdOU6/BJsqiHv9i8XLhqQlVB5Bz+Y/l6fMNxI7zRO4yeQU/AcKFZNT3LYWK74ZRCqE9AiG6lqZ02XzN9Qps7GYvXwoWC5ma1pjyo5FYSgw/+xemBzJ/plI6i7zyzwNrtB7Dka8txu9R4nkNlHYZptjXdSoplncV4wiFZrg63LoO/DZZNV6tfu/2A10NaqMpqIzxMmVuNH7ttFXYc8Idac3ClZvPeAazfZfN9hkY+N5rF4PvOrdBm5TnoGvmeiRz4Egb+nAu612+bBy5Ylj1HFXXNR+o3CuNSOMimLI/3L0kaNgBf3+NBQZsGgC9ecKy9TswBJ1Y9vfWjS/DUP73d/e3Q7i7fsQsRlkNSv7iY5/CnjbbGPLWzgL7hKs785kPuemISXLlqQSOPkK+XoBUJaU7mz+gquq4GToADnmbp1kZKIZg27RnAfc/vAKBOdFy3sw8LrrrP1TynOAJrd188F2EcrN9pT1wyGcwhJvo998/vABCeqBg3gVFER0zhkOT28ue448AQvvuH9T6lYahcdWsCPbbBI2FlzkGc1+RnK1rVt67YrDyHDqEEC0dB1wLCsF2wzLJ3KwUn+3+7+CTf+YjH+t6DG2JVNRCVKD7v8P+8fEYz+AZgnAoHeTLnbpaSpInz9dzWlo5w4Brf5WcsxLtOmB07AoKPDZ1sLad7olex8d5PnYFDZ3S536PLZyQTDmVB6E1oM3DsnEn4i5MOAuCvJilyDryvMj+PeklpSxj0HLblYH8f9lkO9n+qg0QUOYNy1Qrdx66+EjqLuuvf3dmr1lbTQI7vl1EQ7gVXBsLGkipe/vENe/Ds6/uxb6CsFIDyZDl/WrDvM5BswuT38fGNe3HdH17x1RQaLJsun7SnvxwICNCFKDV5fxy6IDDF+yOCX5c4Zgo6BZIKxUm0GXkOi+ZPxifPOsw9H/GR3f3sNtz73Paa+xUFKfdY8OvgbqURIxyI6IdEtIuIXhCWfZmIthHRaufvXcJvVxPRBiJaR0TnCctPIaI1zm/Xk/PmE1EbEd3hLF9JRAuyvcQg5PHBhYNs+vEXlU+Qq17b73z3BrBGtUto9A1XsLe/5E6QKsphQpuBuU7T9imdBcye1B66P+5uiavNi4R02WQoGJoyPJVfRtUZhCLJx2PV08KLwvA+T2z3OAexSivnCvikmkbZ2y+E+lZMKzJaZGqnVzmTZ7ZGZajHhZjQpIJoHfJ6UmH9q+VJbbhi4pL/Xon33vA43vndR5VaaafUE2BCm7ojWZL7q7KS173R5wYxiCG1vHicVxzPvt4zj+jGifPsLmby7kTLIUyodiiEg6EHM4pFBUvL2nII4cj4KRuS5QDEi2oUk0Vly4Fb9M3gG4B4lsMtAM5XLL+OMbbI+fsNABDRsQCWATjO2eYGIuJP7EYAVwA4wvnj+7wcwH7G2OEArgPwjZTXEhumxTCx3cAzXzwXALCvn1sOVmA9AAH/niFoNBrVLtv9tm8/glO++odAj2YZfBBcsuTgyEgTfvxaWhBjDP+7aotb8qNnsIJHX9mNNl1TtlHkwrB3qIIt+wbRZmiulnfjIxsjjxWFobKJT/7P0wDsF9YU7oPrVhJeNq90uP97EojbbO8ZwnFf+l3oulO7vEnzE289DId1d+Gw7gmJjynDK+0Q1rjJH02jR1T5lS0DsTvfzt6SUlGQLQdVpU8gGeEvWzYX/MdjOO/fH8X3H9mIwbKJzqLuCgHufpXzHHSN8I/n2ZVZ5WcrCtJQoaoHG0YVdAoQ/M22HHSNXMWmoGsBHijsvRchNkZyCWnBcihVzVSVXtOg5lEYY48CUBcrD+JCALczxkqMsU0ANgBYQkRzAExijK1g9ki8DcB7hG1udT7fBeAcblU0Cnaf4mAT+7D+tvJDFSOJ7OJ70cfjfmxuoYgaDRFwwYlzAHgT5MyJ0Q1C4nIOj2/ci8/d9Xwg1LZgkC+cEwCe29KDDQ6594NHX8Xyl3ehqGsoOvfo+3UIhyde3YuX3+jDhYsOwluP7MZph04HABzWPUGIVvLuPTet6yakHTwlJVS9+4Q5eORzZ7nfRctB1whHz5mUSW4H1+Z1IuUELFonumM5hAlC+VnLbSlV5xsQDopibkDCaKWQ27J+Z5+dlVww3PHJ+Qe3OJ5PqbL/y4qV+K4VQtwn7pgRhIOhaQGeTnzPss5fUVmiouVQ0IPP0ohhjYqcQ1GKVuJ5Ds2yHOIFQqvxKSK6FMAqAP/AGNsPYC6AJ4R1tjrLKs5neTmc/1sAgDFWJaIDAKYDiJ9WmBAmY66mBngPRIxAMC2vE5oceipqfETxB9wP/7QJZxw+w9euc9PX3+1+7nfyK6bX6B4Vd6CH9bUt6BouXHQQHtuwB4dM74RlMbznhj8F1hM5h3rAhe4VZx6Kie0FfOjNB+Oso7oxb2onNu0ZAAA3dFZcn+qwHMQttgmNb7550Yl4/+L5AIC5UzqwrWfIDa3lKGiUSfguVzre6B3GT598PfC7Ibk97F4SKncfw/ceWu9bJvf1Vm3XIbuVQoRDFmXnp09ow9CWHtdyKAGY0KaDCG5fcNECd5vvyNFKwrsWdlpEhKKu+azNgk6BSbOoB4/XSEJa18jlyQxNC5y/HsKhiBA5By/3xiOkef/6ZiDtm38jgMMALAKwA8C3neUq0cgilkdtEwARXUFEq4ho1e7du5OdsQCL2ZqLnFIvPvCKaeFvf/IMAIVbSdL44g64nsEKzjqqG2GGUb8zmU+v0evZyyKN1m53h+RBFHUN7z15Ht56ZDemdBZRqlrKF1FOLEoLMVEJsF/ueVM7AXha4GAlmLXsWg4ptL2wRyKWHeCfJ0mTZiFhv4ww8HHxwIs78U93vxD4XeY1wiyH1Vt68Lu1dqIaH4oB4aAYC7LlICc9ciSKVgp5FlM7C+gvmehq8yyHCW2G+3LLLiIvh8W/H39uQDhPZOjksxyIKFBSwmc5ZJ3nULUwpbPgC2u3hQM/dvAdD3OTifAVqJTePdNiGK5YNTs6ZoVUR2GM7WSMmYwxC8B/AVji/LQVwHxh1XkAtjvL5ymW+7YhIgPAZIS4sRhjNzHGFjPGFnd3d6c5dQD2ZGObgP7JRySMTIvhj05NFJ2Amz58ivubqKHEIaRFzIwgmnl+xYwaloMRUwvaGRInzs11w+l6xl/Cf77gWH+/BclySJvrIBOSItw8ByGUVS5CmGUlC/n6AASITEPXMulhUcv6kKNxwqp4iuG1XLEQrcLOoq48lqxJh1sOkafpXzc0SQ84MFTGlM6CO6l1tRnuOya7ZvmpycJG5E6iEscKguVw21/b048cxSN+d/McMsyQ7p7Q5vamBuCbU1T8QpzUBLHwnqyXWcwuiDmiLQeHQ+B4LwCuFt0LYJkTgbQQNvH8JGNsB4A+Ilrq8AmXArhH2OYy5/NFAB5k9WZc1YDlcA6ee8ZeLmoqopmuaYTZk71JXXYHJNFGZkXwCbxBS62+s67lUGPyeSMkLNM1V3XbjcGzhNsLum9QE/kHdNxEHhliQxYZXGCo2pLW41YKQ1FhOcgadlFPXmpZhVrRKbIPWg8ZSz2K4AHRchgsm8oAAwC4VtBsJyn6EgP1EdIc+wftcNopThMswOY4NMHNIoJIreCIYywqC1kUDvw+ysKhIClxQHoFR0apYgXeF10j1xJSKUJxogu9CDfNO2fwEHM7o78ZjX6AeKGsPwOwAsBRRLSViC4H8E0nLPV5AGcD+AwAMMbWArgTwIsAfgvgSsYYf+s/CeC/YZPUGwHc7yy/GcB0ItoA4LMArsrq4sJgWvaD5M/PdSsJg3G4Ksbd+8sB+9xKmnrA7e0v4eF1uwLLZ0VYDpefsRAAAj5wGXE5h10hCV2ecNBQtbwwz/aC5uNXTMsfETIUMxNchtiQRQa/FjGUtexyDraZnqWuoHqx2otByyGLelLDNbJoZWFpRysFjytW4OVjtjeETxJhWgzLlhzsfg8LdEhGSKvX/v3aNwDYYdh8YuwqGq6AD1gOIcLB32sjeP9Et42cdyRXFSg0OFqpzdD8wkF4fip+oZYyB/hzY/i+eQSUaVkoVcymuZVqEtKMsQ8qFt8csf41AK5RLF8F4HjF8mEAF9c6jyzBGIOm2ZOPRp6pLJqxcuq+qJXIbiWVNnXZj57EC9t68fJX/FHAMyeFWw6ffcdR+My5R4ZyEhxu/Zkak+ZwxcTJB09BQbPDR5/meRoG1+bIKQPMexroviQkxpivlMhg2cSUzshDKiGWVQ5eC4/h9paJGrfttkt+TBHvOmE2frPGnrzE58jvX6ciPj6LMuW16u8EhIOmrv8vJuYR7Eizr973EgDgxHmT8fxWdR0oeXwcGhKemwUhvd15XyZ3FF2eYYLPclBzDrIsFCdQlVtpshMeW9A1V0DyfcuWQ5sizyHL8hltBc1HoGtatCJUy3LoL1XxkR89BcAWfq7g4UqshVFBSI9qmI5bCXBMeZeQ9jSVbUIxvcFy1ScQxIEeluewcZcdhSMOxontRiAxSUacKN64lkPVtNBVNHDnJ07Dmw6e4i7nk5KhaY5bSW05WIzhhLmT3e+DKS0H7r9XheDpipdIdC1oVL+f+IYPeXyRyDnww8hlJgo6ZRLKWqtMs6xNF3R1tJKvpAcBO3q9sXnwtHBpLY+PsMS+LAhpjimdBXdSFy0HebIM4wB8biWFcJjiCgfPcuAKRsCtJIWcA9m2CW0zgm4lsamVjFpBDs9v7fHtS96HyRiGqyOckB7tsJhnZoqTu6ixiv76/pLpT6iRhYNivKnq0ke5lJIgLudQtZj7UorXxidpPgmKloMYmcUYcNL8KfiPD54MoPZkF3oe3HKIGcFRFrKxkxL+tSA+R/7c5ZDPgm6HIdarZcYtjCgeV8V1iJMkwXvuxx00KbKUAr++z513FL53ycnKCQuI77ZjjCnHuvgIp3QW3Am+o6iHcg5hHEDVZJjnVApQZSFPdlyuBV1z7wsfV7wbHkejopVWbNyLNdsO2G4l8s8FYhKbjFqWg3iPxF7rHJbFMFQ2fTWjGonxKRws5vOF8klA7LFwQKhW2j9clRLX/JyDahLhq4jWyKwIl1ISxO1qVTGZO+DECYZvb+jkhMd5loM4qPn+eZJYWsshDucgwm85UCLNtr9UxcdufSr0d9F64dcXjFayz6le6yFKmIpFF73jaj7ByCGeB5H3LP/x/KMjO4Lx+37l2YfjghMPCs3QjXt/w+Y2cfmk9oIrvNoLejjnoKkn66pludfEr/OfLzgWX3j3MQD8biUOPma7J7bhd58+013uL5/Bz7V+ReOD/2WncrUZms/yFecS1b2OshxMi+Ge1V67YTEPS1xnuGrGLqhYL+pJghu1sJjXX1cXOIPNewfcdfYLGcQDpWqohham2XLNSGwclJXlELd8RtW0XFeCaDnwrQxN89Udai/oPu2SXxYfjCJpnASqDFkOVW+Lgs8yS5bn8OvntuMPLwUDATjEvs18v3K0Ej/PimnV5d8Na+gEqF08hZAoqYokLL3oL1JGgHHI5x4qHEL34EccS2r6hKJ7fh0FPYJzsP8Ho5WYe96PvGLnMp1xxAwcNKUDdz+7DVe/0y67Id4/X/SgcJisy2c8+spufO6u59zvbYburwVF3vNLyjnctmIzfrLSS5QsCJ3kOIarJhgLPtdGYVwKB9PyOAdNs91KwxUT63f14+jZE/HyG32+8MFZk9pC/bVaSOISf679QshhVsKBz7G1zNSKabkvjmg58PMNEtJ+U5avp6qCmQRVk0GjYDKhfS3+ZZ9++xG45M1ehE1SQrpWbw2l5aDgHIDaeQq1EJXEpZqoC7qmtFbEoocET9C3GZqS5Adsovqjpy/wLQtzK8WdMGtp3f/7idPQZujuuGwvaKFtb73SKMFoJVVI6oQ2A/f9nz9zl4lRZ6LgEa168VlnUT7ja795CTt7Pf6nvaBBvP1iWLvScog4tlziRtfITYadO8V2sw2Wmtc/GhivbiWGACH9yk67suSi+TZx2zNolxz+0UdOxafedkRoPRO9BufQV/KEzEFT1CWTk8KN8KkpHJirhV90ipCDyGOxdQ1Vn1tJ97uVuE++wC2HdMKhYlmhxedkfPrtR2LmRE+I2uUX4r/Qg0J01WHdXbj9iqW+38WiZVaoW8lep94s6SjhEpbzodqm7HMrkdANTHdj4GV89twjAxpmWIZuJWYzp1oTa5fE3XQUdFdYL3XqaXGECYeKaQUmP9V5i8/RkFw7HLIrOOlYkiEL16LEOQBwQ1lV5xx1/0gqFGFoGs46shv/ecmb8NlzjwTg9T7Po5UaCMsJZQW8xKPtPTYBzZvuHBiqoKto4OyjZ6JoaKFRRBqFcQ72+txyeO/Jc/G+N80NrJcGcZqwL39pJ7b1DLkvyNlHz8RV7/RXwvQypB1NtKAFCGnAy6yN2wdXRlUQUkkRVYxOBdFy+Oy5RwUmJVHIcw9OMAnOXidt0h9HFGehmjyKhrpsh49zEM6rYIRXBFaN1zC3UtVisboZ1uK45PIc7UXdFWRvPcpf0UDFOZSqJrb3DAcmP5UgFQWIv0qyt45sgdh5COmFQ4AgZsFlXoZz8JyTcFi8TtO7T5zj3g+unOXCoYGwGHMlvu5EK+12zLo5k23tvmewElqLRgSfTGXNy3UrOZrsO46dVTOMNS68Fyt8sF1+6yoAfq2Kn5ObxanbVg8PCZR9qHxSnt5VRGdRx2v7BlOdb8W0QitsAsAxUpSJiKTRSgOC5aBqk+kPZXVCbGVNlVfrrdOtFJUhrZqowywH36RC3veiUP5chkoMRLWW3BWjyVEtS1UuzyFG1cj1q1TZ71+4+wX0l6qBc1f578PcSqJ2L7uCNU2dkxQX8u0rV62AEFb18Ljy7MN8v6kgy/KCwhriYzsPZW0gTIu5D5W7lXb3lUDkZZH2DJbR1VZbQvPBKD94j5DO3hQ0FFpXGJQlBKTf+oVBpyssByLCwhld2LCrHxt29SU+XzFqSoX7/972JS+YHozZp4Scw34hyky851wAiS/zEbPspDA5NDCr7ndR26s0eyOMcxAEBsHjj4qGlkgTVpH/HHHao9Y6lPy+iFyOnJmuKqq4wmmnKieg1rQcFNVXgWBeDVcE04AxFnhmKuHPLQdNI5x5pG0tfe68o1HUtUQclpx5DQhzSZNCWcclIS1GK2maPUB395UwvavoRrP0DlexUGjbGQYxrFS8mXzwD0op/lkgjuXAoSLr5D4VA6UqiOyXSRyUvK8yACyc0YVfP78Db//Oo1j9z+fWLPEhQoyaCsPafzkvtFhZkvIZYqkJ0XK4/W+W+kp3A8D3LnkTntvSg6lSLausCOmk2xdDhIMvY1wTOAdDC2QYu+spBEFUxeiwUisiagkiWQCIGq5M+ntJad6yhTO6sHX/ELZIFqpq7IicQyEkWkmVgZ5W3n/+7hewekuPb5nK7WgKRSb/69JTvEQ9PbzLHxC09HyuMucjb+nbGUNpzQLj0nKwLG8Q8VDW3X0lzJjQ5ptMw6pYiggrPcwfKNfyYpRyjw2uScQp5CUSwfzK5OJgA+Uq2hxehV/+jAlt+OFHTnW3Pfngqe7npMldYjJeGLraDKV1pSX0E4ukuSgcJncWcOxBfvfV5I6Cq92JaIblwMETvgCnEKLiWgOcQzWGW0lxu+u3HNTHWnzIVOVykeiXny0/FfH8D3EsR5n/UFmdoiCSk1I5ghFS6Qnpnyn6cURZDrpmd6bjSpQe4jIMg4pk3+u4vqfVKMyZFcalcBDLZ2hO4sru/hK6J7b5tA05+kIFPi7D3Eo8EijKrZIUmuZEXsSYNMWGJ/OdUgvcIuLX+sf1e9ye1XyXHz19gS+66rLTDnFD6pL64iumFdosvhbidNoTIYbbpk0WcqOV6qzMGmcyeOj/noVXvvpOALyPRLRwYMJ30a30ibce5ttGxbfI1sS1f3kCLj9jIQo61WU5/M/H3qxM6hMFQruCHAb8ViF/R+78+Gm+dZWWg4+QFq1jcTuV5VB/EhyHWKmZIyxaqaCndwHy57bH6c8yNYHVXg/GpXBggnDgzXoODJYxpbPok9hRfZw5wmq2eMKBV1nM5NRd8ByFmusJBz732Fm444ql+PDSQ5zf7HPcun8Il71lAQDvOuQX0tA1N6QuqfZVNWtbDmFIGn4oWjVyiGpceImD9bqVaguXgu61gyzopHRViELGtJjfcnDGwFGzvaJ6H3nLAp+lF4ZlSw7GFy84FlM7i9g/oG4MxfHs6/vxlmsfVP7WXtDRraj4Kk7gsuWg4upMi2FaVxFLFk7zraviZ0TLwVexIMJyEOuo1YvpXUV87ryjAstFy0E+dqSyIV2jyJ3wffGgGdHd20iMS+FgWkKGtKNN9A1XMand8Gm4caICXD++JS+3//OyzXFaBCZBXHeLPCm/+dDp7sATtRtewM0riayIw9fV5HstVC0rteWUtHyGaDmkjQ4rZGY5JNveLoSo4ByEZZbFUDYtENlj95NnHYa5Uzrw1iNnuuv4cloEhHmVpnYWfUS+Cjc8nLyHuDhpB4SDgnOoCu9lLbSFvJuidSRHG4YVyawF1TYXCCGmIsR+DCIKmrqooouIQc4FXrlqoauoN62fwzglpL0XxZ5k7fr4E9sLvlop8kPontjm1nbh4KuH9cL13ErpNOcwxLUcotw54gDmzeCnCoXNZIRFZkXhPx/agGdf78G8iOqhUUjqJxZ7TqQN+cuCc/jpytd9/EdHQa/J1RRCIlqqpoUrzz4MAyUTtzy+GY9t2IOibnNEx8yZhD9d9Tbf+mETbJglPKWzgJ7B6ByWKL4iDuRzcstn+CwHK/CevOUwf54Kh+ym8vYb1HtY+0wAACAASURBVLjF72ncSirBGZbUyV2xgXkihE/iiPqNu5EZq93rJUuMU+HgtxwGy1VUTIZJHYYvWUvWTlR+1bDG5fxlcgnpOl8uGXEHepQ7R/xtUoc9FHh2spLQFCKz4mCwXMW3frcOAGJFfqmQlJAW6xnFKX+uAp+g6olW+vzda3zfp3QWMHSglnAIlgo3LbsSaruhu5E2z77eg4kRwRJhwqGga9h87bux4Kr7fMundhaxcXd/5LmpSqsDdnKnjDiCUOWOVVkO/3j+0crt20JchhShD6TtDSLWR+MIe6/+9cLjcM7RM3HCvMm+5QVNixQAtRQRnQhVxppGRgPjWDiIhDTXmia2F3waQRzzTRWvzfcLeGWH0/rcwxAlHHwkXwTZIVoOvIUkb0a0rz+oLSWtT7NdCB1Ne/2aFt+tZDoul3rBfdVZ9HTg4P73L7z7GF+EkoiCHpxA3CJ7hgZDiI6Jqq8T1zXDMbWrgP2vRbuVVJbv7z9zJo6cNTGw/JHPneUrXKmCa4Uy0XJggeOEWdxh1x9l4WhaumglVY2sMIu8s2jgnSfMCSzXnWoEYRAVEbGyLIdmm9CBsOtGYlwKB9MSaisRsNsxGye1G75JLE6BK1W8NuCZzY2zHMI1EXFxMablwDVRngSoil5JWtlyq9AwKW2eRxK3EnfhEQGHh3Q9iwM+IaXNkObVRAHg4289FBefMh9X/uQZAMCShdNw4rwpyu14CXXLYq5ywYWdofmrdEbdz1ouoJsvW+yGjQK25dAzWFEmernnppgMw5KxZk5qx8waRSZVSpXKcggTdGGKW9R7Fqd8hmUxfOGeF/DgS7vwxOfPAaBuOpRUABshLsPdfSWs39nnU2qOmh0UuDwI4YS54dUEssa4JKQZY270kK6RW4F1UntBIqTjWA72/1ZwDmHkmvgCRBHBYkQSD9t95/Fz0F7Q8P7F8wPrJ7UcxKSztNefpHwGd2X8618chwc++9ZUxwO8iTfKChksV/F3P3sWu/r82bwV08Jf3+L1k5g9qR2Hz5zguiijbp3LdQhEeEVIeBMtmagmP7UmrnOOmYXDZ3oT0NTOIqoWQ18pvCS76vnVU8ZB5bozFZn0SS2HKLlYq3zGb194A4d+/jf46crXfc2+VNWIayV1yjA0dRLcB36wApf898rYPcsXL5hWe6WMME4tB8GtROQSh5M6DN+LFcdyCHUr8WglN5Q1e7dSmOXgEw5RloMvC9Neb/bkdrz8lXeGHhOIr8n73UrpJpIk5TOGMipM5kYrRVgO96zejl89tx1dRR3Xvu9Ed/n+wbJ0/+198bEUVW9JzMzm3DGfPAu65iPbw6oEA9E1lFTgfFPvUMV1L8pQcQ5hfv840DQKhHcmshxCBFPUe1arfMb9L+wILNvdV/KV6eZIOp7DEhxf3WP3kPnfp7fG2s+SXDg0FnZVVo+Q5pjYXvBpBPEsB/WESS4hzUNZG8E5qCca8YWLmshVsem1jgnEd7eIpSzS1rTRKP62XMOrt1MWHwNRoaw8h0ImXuWoH+7W426QKOHAhbXom/Ya+2i+ooL1uJVkxBGGqqq69RaAk3tmm5YVUGbC3hte4lrmbyLdSjWCOFQ/nXrNH5TrJrWEjVqhrDGwYHpnrNyrrDBOhYO/nwPHzIltPp9rEs4hmCFt/+eWQyPcSqqxZlkMJ3z598L38H3wYnRRLgoRKhIxCvsH7IlyWlcRpy5Mp/EkKdnN73W9hcm4Vhg1kfOJcUgq9bBPSibjE+8RsybgsQ17IuviFFwi3Ltetzy3ThgUBFHUM0uaUhIndFeVpxNlvcQ6rqb5XHdJLAfecpcnZnJEvWa1XJTyb1E1vZILB3V/8Lh46p/eHhmh1giMU+HA3PwEPuHNn9YRiCGOIxy80sP+5TLnkNTUrwUtxHLYIZVerjWRr/7nc2NH+CRNgusZKmPJgmm48xOn1V45BIncShlZDkU3CS78wNyqHK5a6Bkso7NooGho6BlUC4er33kMzjh8Bt4UkbnMtfOKwnIoym6liLGZNOEwTqFBUQ5875KTsX+wEitU+AvvPiZ0UjMCloMqWkl9LUfMmog1X36Hm5/DQUR4/+J5uHBRMMS2puUg/ba7P7ykSBq30lAleGyev1ALSa38LFDzConoh0S0i4heEJZNI6IHiGi983+q8NvVRLSBiNYR0XnC8lOIaI3z2/XkjCwiaiOiO5zlK4loQbaXGITIOXDN5MS5wQiSOG6l2uUzGpgEp3iZX5Xi1WtVNJ3SWfR1XotC0iS4nsEKJteZ6p8kWmmokg3nwIVgFEnIn/tw2cSif30Af+tEI8khnHziLRoazjlmVo3jBt07vEVoQdd8PbwjQ1lTupXCLIfvPbge//XHTe73UxdMc0uw1MLH/uxQfODUg5W/yW1Rk1gOAAKCgeObF52E0w+fEVgexdMBwXG27KYnQtdNSkgXdbXlUG9yYSMRR/zdAuB8adlVAJYzxo4AsNz5DiI6FsAyAMc529xARPxNvRHAFQCOcP74Pi8HsJ8xdjiA6wB8I+3FxAVjnibPJ7y5itjzWG6lEM6Bf/eqsmbPOagmzU0OweWdR7bHtPcZXzhMrVs4xM9z4Jp12ppKHG4kTYyM1ic37wMA/OGlnQCCbqUk959POHsGPI21bDol3w3Nl3EdxTkkdSvVKjR4/YMbfN/l7N+0kDPCbcshXrRSGhRDChtyyM/q1d0D6hWRxjrTfL3AObKeF7JEzStkjD0KYJ+0+EIAtzqfbwXwHmH57YyxEmNsE4ANAJYQ0RwAkxhjK5ityt4mbcP3dReAcyiOvVoHbMvB/sz/q9Lx40RjUIg2bUrCIWvLIUwLkmvh19MzV0bc+P+H1+3Cqs37sN8pZlgPNIpvqXDyv16ilIiU2coizJB7ILuVkiTS8QmH50QAwF4nGXFaZxHfuugkd3mUvz9p8EMtt5J8/7NqXFXQa0crZTl5GjWeaZK+IUmTOguGulfHCJYNqfMcZjHGdgCA859X/ZoLYIuw3lZn2Vzns7zctw1jrArgAAB1QZWMIJbP4JOnKAi45hlnkuH7kcdVMLS1EdFKwcE8KBGkRysSatIiLDJLxkd+9BQu+v4KlKpW3RUkE+U5lLPhHABePjt8IpEF80QnimTfgN+tlKT0x0nz7ZILYlw974o2e3I7jpo9Ee9fbBfViySkM3YrZVnmWoTc+U5VWylLpcrQtUhrUPXTZ95+ZHAh0vE6Km5Pdiv9/jPB7OhWIeskONWTZBHLo7YJ7pzoCiJaRUSrdu/erVolFiwhE7TsaEu+2vMFHpueIAkuxHLgyNpyKOiaMppGXPbFC47FKYdkFxftEdLxt5lWt+WQwK1UycatBIT3c+aQBRZvDCVbDknCF+dN7cTbjp6JeVO97OXtB4ZQ1DVMd8omcBdQZChrijDLpOeaBWS3UtVMxjkkRVGnSB5JJQT/5syFynVFy+EXf/sW3HPl6TWOHWI5CNf3lyfPVZYjaRXSCoedjqsIzv9dzvKtAMTU2nkAtjvL5ymW+7YhIgPAZATdWAAAxthNjLHFjLHF3d3BDl5xYVrMldh8sIhWAhcKcSZ0/nBlYSCPg6zzHNoLOoYVA11M9Z9do4RBUnCNVHQF7DgwhCt/8oyPLBVRb0Znkno4bihrBsJBzkiWIVsOvDz0Pkk4HJnQcpPdWTt6hjF7crs7zrg7SWU58GVpCeks6lIlOy5JlkOw70emlkONcFLVOAsr+y4S0m86eCpOmq8uieKtry6fIc4L3/nAosh9NBtphcO9AC5zPl8G4B5h+TInAmkhbOL5Scf11EdESx0+4VJpG76viwA8yJI4/1LAznOwP/PBKcbGv/1Y20um6qYlQ9XRCvC7lTRKXyE0DB0FDcPlYFq/aDk0IvEO8L9ET7+2H/et2YH1O4NVPedMbsdh3emqsXIkLZ9BFC+QoBYMLVo4yGHEnuXguZXu/tu3YFGNSUNGQffH/r9xYNjXcYxPlqprvPdTp+P/nX90Yj99nCQ4jr9aqo48SgM54s7usxJs0JMVCkY0IS0Ps6hjJ20EZRPSKs5h5JIONfMciOhnAM4CMIOItgL4EoBrAdxJRJcDeB3AxQDAGFtLRHcCeBFAFcCVjDE+g30SduRTB4D7nT8AuBnAj4loA2yLYVkmVxYBsbCZKxwEbfNLf34cPnbGoZg+oXZssRfeKR1D0f4wS9iWQ1A4iBUksxYOfGISr5XfvwGF5TB9QrFuoUikTvYDbIH85KZ9WLJwGogIwxUT7YaeiSAuGNEZrfwevHnhNKzctM+dWMRopeldyWPTZfdD73DF52YyIiyHo2dPwtGzkxdmi5MRzvHV95yQeP/hx/ULwoqCc8hSqSpoar8/R6DKQcS+VPWWIo9tqI89qoUDY+yDIT+dE7L+NQCuUSxfBeB4xfJhOMKlWRBLdnucg/eyFXQNC2L2H+DzvjywRDdTA2QD2g1dOUDFAZg1z+G60MTCcM79G1TUvK83gxawq+aGGZJ3Pb0Vn7vreVz/wZPxFycdhKGymQkZDQSzd2Xwe3DdBxbhS/euxZZ9gzAtht7hCuZO6cC2niHMmJicb5FDHsum5asjxCfypHH2tY4JRGeENwJy7oap4ByyPl50KGv8IJJa/SpkhHEOWbcPzhLjMkPaFKKVVJZDEoQV3hO/N8Jy6CjqvsY2HKVKA91KCispynJIW6ZbRJRb6bW9dtjuZie3Y7hiZkJGA7UnEs45GBqhvaCjXLVwYKgCxoCP/dlCfPR0NZFZ87iG3w9frlpoE+4j16SzbDtruJZDswlpfzh2VZEhnSVqhbLKhhO/xd+66ETs6iu5jasAYP7UZJ0NC7oGi/lbFAMjOwluXAoHsU2oJxzSvWxh3dF8lkMDnn9bQVNqL6K22yjOQbw27kdVdcuKW7MpCkQUWh+KXx4XHkMVM7RaZ1LUmkh4ZIumEdoMDaWqhb5hr2lUWsiullLVUt7HLJ9sFm1R08CQIu7kiTNryBnZMsIsh4ud8vW7eodx3nGz0T2xDUckjCoS77GueQpMg1O66sL4FA6KaKW0Tbu9CUo+hvc5bbnqKLQbtrYq8idAgy0HLhxMhVvJsRxEiykLYjiqfIbbotU5ZtaWQ1RMvClYDm2GhuGK6U509Vy37H4oy8LBuRdZ+qp5D5N62qKmOq7CcsjC2ow6XpLwZFmr/5cLA17xRMcGbOVN9FI0UhjWixHs8WocxCQ4VZ5DEoS5lUxftFL2A4Cfr9ylqpGcg+tWEi6VN6bpd8pJi41qGu1W8s7HsxyyEw7xYuJ1x61Uqlrus6jHYpJDHstVyyds+LDK8tEWDL+LtVmQNflGWw5GSH0j9/jSMMvytXUtB2lM5cJhBIEx5riVZM6hPrdSFCFdVkQV1YsOXjJaci2VhO+Z13PSg4KQk6c8M1t0E2ThVrJrSKl/8why+/twxcqOkI6YSO5ZvQ3PbT3gnh+3HEoZWA4FXYNpMVf4lE2/5cDHWaZlJRR9JDgaSVIbmp/XqSqilbIEF7xhAQ7yxJ3lPfbcSrLrKrNDZI5xKBzs/3pAONRnOcjZlZbFXM1DRRzXC7dktCQcmmE5iK4Al5DmloMw+LOIVqIIt5JXuoRhe88Qnn5tfyauLMDxh4e4IP7+9tX41XPb3XNoL+ioWswt31GX5SBo8VXTgmkxFHVvbDbC8RNVW6lnqBxYlhWKRjAJrqGcgxYcvyLk6LRMXXe691z/86ENeNTpMz6SQ1nHnXAwXZ+t/T2zaCWZc2DMbbnYiMzTMOHQSM5BFbbL3UiecMjWcogqnyGWLvnBIxsBAA+vS19WRURRp8jaShyGprkCiRPS9XIOgH0f+bgR7yO/F1nOKUTklAsJXu8uRYvMrCAnGjY6Wok3UwqLQpOtpCxPhT/DsmnhW79bh0t/+KRzjFw4jBjIZjnXllRVWeMgNM/BYm5v3kbAEw7+AV1qYLQSdz+YCrfSQNlEf6mKNY67BciKcwi3HPhpmIy5Gcr/7/yj6z4mYF+ryqWi6vjHn0XfsC0g0wY3AH73g4rgZg0gpIHwHse7+oYVa2cDMVzYshgYyzZEV4bh8ozB59o3XMEbUqOsbC0HdURYllWTs8a4i1bibmT+4H/00VPxs5Wvp44o0sPcSgyO5TCU+lyj0K7gHBhjvgkt8yQ4Z3cqt9JguYov3L0Gv1y9XVi//uNrFN69i/uILYthsGxiQpuBvznz0LqPCYTXVhLvt64RiMidvLkLpl5CGrDvK797Ks4ha30zrJBjIy2Hgk7oK1UxVDZdRSZpKewkKBrh3MqDL+9SWA4NEA5S2Q3uybj4lHmBbVqNcWs5cFlw9lEzcdOli1Pvj1y3UtByyKopigputJIwWckaUdZaGBHZmrySczCxZf+QtH79x9S0cLcSP3bFYhgoVdEV0Z85KYqGerIUM3r5hDZnit0oijeHqYdrcUMeQ6KfvGilbCfRMAJ+ZyPdSs61XvbDJ33RXw07XkTI7sbdA4HxevW7srFCAX8oqwjTYviLkw7CNy86MbNjZYVxZzmYGZvlUdFKjWwIzkM2xf4NclhrI7IvDU3zJ8E5L9pAqYrFC6bh6df2u79lcfQotxInjIcrJkoVC11t2d3voqEunyGWCeGWGS8u+OKOXgCoKxGPC4KKabmCQHQr8c56WbssC7q6ltTu/mFM7SwE2p9mAb7PJzfvcwUTv6e//rsz0Duc7TENgRSWsae/hGmdRex1amP95GNvVrYaTYtiiFupatqVaEdiMty4Ew5McivVC1VJCcDWrifVkSlbC1OdPgk9Q94LJGu6jRhvmiZxDq5byWxInHyUW4lfb6liob9UdctmZ4GirgWELeAXxvzZHzS5A+0FDS/v6HO3TQuRc+DXLQqHK848DJM7CrjolPnK7dPCCKkl1TdcxaQOWzgsjFlvLC7WvdHnfuaCiStbx8+dnOmxAO+57OkvYe6UDl+o6t7+EqZP8ITDtK76+pDI4GS4/I6aDSbh68G4cyvJ0Ur1or2ozjcwGcOkBrqVpk2wB+8+od+wajLLGro0WYu1lYakEuJZCKcwDV489iOv7MYjr+zOVjiEcg6CW8nRRDWNcMi0LmV0UVIUakQrFQ0NHz5tQebulzDLYbBsJxb+8R/Pxi9rNLRJirceafdkmTe1w73Wesj8WuCWw3tveBy3P7XF99ue/jJmCFWYp2ctHPTweaKRJHw9GJln1UB4nEM2L1eX0wxksORNGozZkRdZujmCx9VR1DVX0wGA/mF/8btGRELI7Un5BNozWMF9a3b41s3CVG4v6OgZrLhx4SL4sXl2dlY5DoCtZao5h6BbCQC6J3oTS33RSp5vmh9fzHNoFMLqDg2Wq+hqMzB/WmfmHNqnzj4c5x03C4x5IdhZPkMZYvTc5r0Dvt9sy8F7hvX2Pg8e236ucuh5bjmMIHAyNSsfX0dBB5EX5w94pGEjHzoRYVpXEfv6PeHAfbTzptoEaSOEU1A4hAugLK6ehxhf+sMn8ctnt/l+ky2KA0PZ+aiLhl1FU45sEQsMigqG6Iaop5x2USizwHtzZJEvUgtGSKeywbIZq+lVGmga4aApHegdqjTlWsXn0i31arEtB+8ZZn0eE9tswcp7gnNUTWvEltAYd5wDn9eyeiCaRugs6BgQNMpmRF4A9oQkNpfpdSbHf//AIkztKvrM5KygayQR0hGurAwuv01ITnzi1b14z8lzhWP7JzPxXtQLMWlJDHP2uZUoKByKhlaX4lEwPM4hi0J+cWFo/hpWa7YewLQJRQyVzcBEmiUmdxTQV6q6FlmzLAexBli5anNW9fY7j8L8aR2YPakdj0hJmo3OCq8H4044ZM05ALaGLoY4Wg1KVJIhEmiAl4Q1rauIQ7snNOSYukYwzXjCgTKQDmLmuuzmkWvh7O3PUDgIDXDEOcNHSAuaKPdR13vFPs4hg0J+caFr/iS4P//eYwCAg6d1NtQ9yoM29vTb3FlbRoUTVfDVcRI+88z2RnKERISlh04LuF5NNnLdSuNOOHC3UpYTd1ebgX7B3cAnaW7GcjdP1pjaWcSWfYPu994mDHKd/JZDWP0hIBtCWiyIWJIEkexW+sIFx9R/QAdh0SX+UFbv3HiAQL1BAT7OIQOCOy4MjQJ9sQGbc8iqmKEKnMfY1ecIhwZeqyjYRXch56wmtBm4/YqlDTv+hHYjYO3mlsMIQiO0+s6i7iOkf//iGwCAtxw2A+u+en7DLIj2gj/ckruVGplfoWnkS4KTffInzpuMzqKOJ17dlxHnEGE5CMd+29Ez8YFTD87giDZ49zVZAG3r8RL9xHc6q+gWMR6ek5fNcCvpWni0UmcDtXmuyOx1LIdGCsLzjpuFL15wLL7y6xd9vTq4Mjeh3cDSQ6c37PiqjpDVESwcxh0h3Qg+wLYcPOHw7Os9mDmxDcfMmYg2Q29YAxM5wqR3uIo2Q2tsOKDkfpDdSowB3/+rU3DO0TNx+RkL6z6e6FYK9K4Qvmc9gRZDLIcNu/rdz+LLfvC0bHIARLcSv960RSGTwNDV+SRDlcYR0oAddQd4CXGNFISGruHyMxais6j7XJJcODRSqQKCc45XT2pkCodxaDnY/7NU5ruKOvYI/u6hiokJ7UbDsx7lejh9w5WGupQAdbTSod1dbumIctXClM4ibv7IqZkcT3Qr8b4Y33ngFVy/fL1vvazDdkVCmmPFxr14bMMe97v4eI+Zk6xtZBhcQrrKXMuhGcJB1zRUrWDfEcaAzgZyDnzf+x3urJGKDYes4LjtXdsa++7I3ILYh3wkYtxZDlnnOQD2AB8QCOlSxfK5QxqFNiFBbN9AGdt6hhuu/bQZuht2CNjCYNH8Kbjz46cByL6bmIqQlgUDEMxQrxciIc3x4yc2A7BJWsAvkIgIP/rIqfjuskV1HVfkHHjF3bQVg5PA0MIz0ZthOewb5MKh8dcqW9zc6m+65eDORSNzGh6ZZ9VAuA8kQ61+QtHw5TmUqmbqznJJILaUfNNXHsCjGWcJq9BR1N0szw27+rGtZwiHdU/A4TPt6Kilh2Xrs/VZDs4LrcojCOvulRYqt9JwxcJh3V348NJDAAQr8Z599ExcuGgu6oHMORgaNaQHuQwxWkm+rqxar6oQtByakdNBUrSSxzk0ErJw4AJqTFoORLSZiNYQ0WoiWuUsm0ZEDxDReuf/VGH9q4loAxGtI6LzhOWnOPvZQETXUwP9MWbGSXCAPWGKkRDDFbMprgC5pSTQ2BcZcMh351ofXrcLAHDRKfMwrauIh/7vWfjynx+X6fHaFIS0eG8/71TObJhbSRAOPYNlzJnc4RbWC2tfWg8KPuFgNWUcAbwsiuUeW0QjFY6g5dAMt5Lmy3NoleXAx1bW7XyzQhZi+mzG2CLGGK97fRWA5YyxIwAsd76DiI4FsAzAcQDOB3ADEfGRcCOAKwAc4fydn8F5KeG2Cc20P6xfE2nWS81bSoo5Fo0MOwTsiZnXUOL/eQLYwhldmUebiNfDCVpRAHKLJeuJuqCIVuoZqmByZ8HV7sPcMFkct2IyDDfJAgXsnA1uOcgRWnMbFIoNAJ1Fbjk4hHRTLG7/+9o7XEFRb2wgBxC0EL5+/8vK5SMFjXgSFwK41fl8K4D3CMtvZ4yVGGObAGwAsISI5gCYxBhbwWzfwG3CNpnDdPMcstunIdXCH66YTTGP+SQlpuQ3w3LgbqVyE8xiFecgCgyvTWu2EzV/fr994Q13Wc9gBVM7C+4E3hjh4PVzsMdRcywHkXOQkws5x9IIFA0NRV1ztfcs+o7Xgvy+rtl6ALMntzf8uDK3cNfTWwEAUzobS4SnRb1PggH4PRE9TURXOMtmMcZ2AIDzf6azfC4AsRTiVmfZXOezvLwhkNuEZoGCRqiYzPV72xpf419qrqVv3e8lwjXacugQLIeyadVdLqIWRCHrupWECXOu02jnlEOmIkvwe8urd1oWQ89gGVM6im5E2DuPn53pMQHb3VnQ7X7OpYrVPMtBI5SrFr5871ps3jvo+62RTasAoNNp0lTQqSkuFkMjlJ2ObG8cGMbjG/fiA6dmWwI97LgqiEUbRxLqdbKdzhjbTkQzATxARC9HrKu6MyxieXAHtgC6AgAOPjhdwlMjkuAMQZM0dHLcSs0hpAFgm9CBrdGWQ0dREA5Vy00WaxRUlgP3iV/z3uNxxKyJ+MNnz8TCGdmWCxE1WMYY+kpVWMzW8s4+qhu/vPJ0nDQv+54DgBdN0yzuCrAnrh0HhnHL45vxkMMlAfXXioqDrqKBnsFK06ykouFZDrweF2/Y1EiEubJnTWq81ZIGdb3ZjLHtzv9dAO4GsATATsdVBOc/H2lbAYjieR6A7c7yeYrlquPdxBhbzBhb3N3dneqc3cJ7GQ54/tC5z7bUJHcAFw5iY/RGhh0CjuVQ8YRDo0s7TGgzcM+Vp+PDSw9xy2cMlKtYdup8fOjNdtTQ4TMnZp5I1Nnm5zp4NM2UziIMXcOi+VMaNmkWdA1Pbt6P/YPl5hHSgstDrDx7S0b5KlHgY7YZrljAyXNwOAfO13Huo5EYN8KBiLqIaCL/DOAdAF4AcC+Ay5zVLgNwj/P5XgDLiKiNiBbCJp6fdFxPfUS01IlSulTYJnM0gnPgfuKBUhU/XrEZQ02LVrKPK7ZwbAbnULWYWxiuGXV/Tpo/BVM7CyhXLTDGMFAyG/4yz5zYjg+92bZOSxULz26x258eOasxBQ1FDJareG5LD555vaepEyYHTza88UNvwlsybJUZBl7Yr2nXKuQ58GrKWfYfD0OYcGh0+Hla1HNWswDc7WhPBoCfMsZ+S0RPAbiTiC4H8P/bO9cYu6oqAH9reqct7fRBS5+U0vKwUhoKpVHAKuCDl8EaBIUoFIEYCQZfMYIalQCKKGhQY220CIIvgkaUl+ADkIdaiPRBoYViACW2ILSF0nZmuvxx9p45c++dwr1z9j7n3rO+5GbO7Ll3n73m3HPWSIhaWAAADj5JREFUXmvtvdYzwGkAqrpGRH4FPAb0ABeoqp+inA/8BNgDuN29ghAi5uDTKHz77nXc8NAzAFHcSv5m2pxSDqF9tl7p+bKgoVKDVOOzdc6++DYgzs188PTEbbS9p5f71r3AhNHDmTc9jCspTTo5WzzLof97488f69r6GE7IndhpOp3rF/qLdMWwHIq6Kmkwmv6PqOoGYH6d9heBdw3ymcuBy+u0rwDmNTuWRvCLFLKMOdSbwcd0K/3t6ReDn8vjb6Lt3b19AekYVK9iCZlG2uMV/PbuXlb9ezMLZu4ZfU16rID0AMvBbzaMdG190sKsS3MORqWjg57eRCn0WQ45uZVWX3J8nXcWg/LukM5Qch+Q7kxd/JgB6XRepwCVQQfg/cPbdvYmbqVIs8tqJTQ6cGwF+hX81u09PP3Cq7x5ajb5kxohRhoWGFibwrteh1LRrhG8UghRnKoeyWqwqphDBEu0Uuf/WVSXEpQw8Z6vRZBlMNHPCNJpDmLtkI6Nl+u1nb3siBRzgFrlEDrBIPQr+Mf+s4WeXcqbclAOIYvfpKnn8oil+H0tjNCLKTyVjv7VSj74Hsdy6P9/3njeW4PuH8mC0ikHDZBbyc+wKpEth3oP5sCGQ8py6IlrOQzLQzkksq7fuBWAWRPj38xdEWa0UD/5W6zJh99HEXjFbB8VZzls2d7Ni6/sQCTO/Zp+Phwwuauwq5Q8pVMOvQFiDj4gnU47ECPAVe/BPDXwF87nn9m6vYfu3l1R5ITazX2hN2ZB/wNjk6tS5ktaxmTC6DiulnqWQyzlkEU52UYY7lYrHfLVPwCJizL0Xg4Y+Mwpag2HNCVUDn61UnZ9esshXUJyv73Cb6rxuZU8Sz+ygOPmZr9rN42fsW/Z3s3O3l2Mj+RWqg5Ax1AOPuawyVUpC52YrR6xgrT1HlbDK3EeYHu69BFTx4XL4ZSmOitrrFVSaQXcWdA03WlKpxw0xA5pd6HTNR1mxVAOVTO7E+ZNC35OP3v+wq9XMbzSwYzxcVwt1YG7GLN471bylsOYHCyHPaOt4MnPcjhh3lS+eeohvO/Q6VHOV51bKcbiBhgY9B8WKdg/FEqnHHoDFPvxF/q+9f1VwmLcWLH8/Wn87PnVnb28urM32nLHauUQ2600otIRLfieZkKOlkM0t5IIpy0Mn9vI09kh7OjuVw57RHKNphVwK+x5KL5tkzE+fUam+xyqTMSbzz8qs753R72lcaGpXoUVS0FVF2KJ8aD2sr60rTsXqwFirv3PTznEpjKsg62p4lwTRse5tmkFHGs3+FAo/ggzZleQlN0DO8s6Q+hgpFdcvfugybt5Zzhizaa7Is3u0qQV4dgc4g0Qz61Uz3KIsQs9D6qV3sRoQf/+88YIgA+V0rmVQtSQjrVZqJrJY0ey/OyFzJk6lkmRNhBVE2sGlH5QnXJYsIzuA0jXbg5dQrIeH1w4I5pS8ktZp48byf0XvZPt3buCp3/Pi+r9FLHqKbTCCqU0pVMO/Yn3sg9I58E73zwlt3NDPMWY3mB49YcOjXbOrhEVXtnRE3Wl0q0XLuLZ/73GCQHqRQyGdyuNGlFBRNpWMUBt/CqP/FWtQOncSj69RJY5clrtomdJHkHamJw8P1kBFjPNwcHTx0VVDND/HY61SzlPqq9lrLhZKwSh07T3nV2HXg2Rsrtc/8Y/ffbovtTgsQq05MVnj5vDmUfs21c7ol3xcbPQKd+LQPWemVgTnFabRJbOrbQrQPqMPFYN5cl+k7roGlnhte5eDpwcvr5BnuzVNYJL3x8lYXCu+AdXO7uTPNWB9pPnR9pfYcqh2PjVSlmuFmiF3Y5Z4zeGzd9nfLRz/uishdH8w2XDu1vL4FZKx4+e+tpJ0Wb0rWY5lO6p1lcmNMtiPyWzHACWHJm4WaaNi5c87N1zp7DowPCVycqIrwu+R2f7zxfTbqWYD+w8F640Q2uNNgNClAltNXMxCy5ZPI8NXzupJdZrG69Pfy3l9rccYqTnrkcrpMxIUzrlEKRMaCog/YEFMzLrt+jEropmhGNbd2I5lEE55FVgJ8s4ZwzKqxwCBaSv+mBN5VTDKDxTxiTuwf3bfIEBxCkxW49Wizm0v4Oxir6YgwWkDaOPUxbszdRxIzlq/4l5DyU4fulqrDQ3Hu9+bhU3dOmUw3mLZnP2UbMyTftQxoC00V6ICG87oDzB/ns/dywTu+LkrfL4mEOr7IsqnXKoDOsg631bfiZwyoI4OX8MwxgaM3Mo+eqnkGP3aI3HbmuMsuCICI9++bi2zWJpGMbQGTOyk88dP4cTI6dGaZbC2DcicoKIPCEiT4rIRXmPp1HGjeocsGrJMAyjmguOPYD9JrVG0L8QTzMRGQZ8HzgRmAucISJz8x2VYRhGeSmEcgDeAjypqhtUdSfwC2BxzmMyDMMoLUVRDnsDz6Z+f861GYZhGDlQFOVQby2o1rxJ5GMiskJEVmzatCnCsAzDMMpJUZTDc8A+qd9nAP+pfpOqLlPVhaq6cNKkSdEGZxiGUTaKohz+ARwoIrNFZDhwOnBLzmMyDMMoLYXY56CqPSLyCeBOYBiwXFXX5DwswzCM0lII5QCgqrcBt+U9DsMwDANEtSbu2xKIyFbgiQy6GgdszqCfRpgJPBP5nHnICSZraEzWsOQhJ4STdS9gtKq+btC2lZXDClVdmEE/y1T1Y1mMqYFzbnojFyfjc0aX053XZA17TpM17Dmjy+nOG0TWRp6bRQlI58nvcjjnyzmcMw85wWQNjckaljzkhPyuax+lVw6qmsdFiO4GyElOMFmDYrIGJw+XXZ7XtY9WVg7L8h7AEGjlsTeKydqelEXWdpPzDcvTsjEHwzAMIxytbDkYhmEYgTDlkAEislxENorI6lTbfBF5UERWicjvRGSsax8uIte69kdF5BjXPkpEbhWRx0VkjYhckZM4uyULWav6uyXdV5HISlb3t2Uiss5d3w/kIM5uyVDWM1z7ShG5Q0QKVXtURPYRkT+LyFp3n33StU8QkbtEZL37uWfqMxe7OjNPiMjxqfbDnaxPisg1IhkWpi8CqmqvIb6AdwALgNWptn8AR7vjc4BL3fEFwLXueDLwMImSHgUc69qHA/cBJ+YtWwhZU587BfhZuq8ivbKSFbgEuMwddwB75S1bCFlJNtVu9PIBVwJfzVu2KjmnAQvc8RhgHUkNmSuBi1z7RcA33PFc4FFgBDAbeAoY5v72d+BIksShtxfxfh3KyyyHDFDVe4H/VTXPAe51x3cBfrY4F/ij+9xGkqVyC1V1m6r+2bXvBB4hSUBYKLKQFUBEuoDPAJcFHnLTZCUryYP16+5vu1T1hYDDboqMZBX3Gu1m0WOpk0AzT1T1eVV9xB1vBdaSlAdYDFzn3nYd8H53vBj4haruUNWngSeBt4jINGCsqj6oiaa4PvWZtsCUQzhWA+9zx6fRn3X2UWCxiFREZDZwOAMz0iIi44GTcTdgC9CMrJcCVwHbYg40AxqS1V1LgEtF5BERuUlEpsQdctM0JKuqdgPnA6tIlMJc4Mdxh/zGEZFZwGHA34Apqvo8JAqExCKCwWvN7O2Oq9vbBlMO4TgHuEBEHiYxX3e69uUkX6QVwHeAB4Ae/yERqQA/B65R1Q1RR9w8DckqIocCB6jqb/IY7BBp9LpWSCzA+1V1AfAg8K3Yg26SRq9rJ4lyOAyYDqwELo496DeCs1xvBj6lqlt299Y6bbqb9rahMIn32g1VfRw4DkBE3gS817X3AJ/27xORB4D1qY8uA9ar6nfijXZoNCHr0cDhIvIvku/gZBH5i6oeE3fkjdOErC+SWEdeEd4EnBtxyE3ThKyHur8/5dp/ReK/LxROid0M3Kiqv3bN/xWRaar6vHMZbXTtg9WaeY6Bbt+6NWhaGbMcAiEik93PDuBLwFL3+ygRGe2O3wP0qOpj7vfLSBJufSqXQTdJo7Kq6g9UdbqqzgIWAetaQTFAU7IqSSqEY1wX7wIeiz3uZmjiO/xvYK6I+FxE7yHx6RcGFwv5MbBWVa9O/ekWYIk7XgL8NtV+uoiMcC60A4G/O9fTVhE5wvV5Vuoz7UHeEfF2eJG4gZ4HuklmFOcCnyRZCbEOuIL+DYezSLLJrgXuBvZ17TNIzNK1wD/d67y8ZQsha1V/syjuaqVMZAX2JQnsriSJI83MW7aAsn7cta8kUYoT85atSs5F7j5bmbrPTgImumuz3v2ckPrMF0lWKT1BakUSSRB+tfvb9/z/p11etkPaMAzDqMHcSoZhGEYNphwMwzCMGkw5GIZhGDWYcjAMwzBqMOVgGIZh1GDKwTACICIfF5GzGnj/LClodlqjnNgOacPIGBGpqOrSvMdhGEPBlINh1MElZbuDJCnbYSQbwc4CDgKuBrqAF4CzNUm58BeSHENvA24RkTHAK6r6LZdLailJWvangHNU9SUROZwkT9E24K/xpDOM18fcSoYxOHOAZap6CLCFpI7Bd4FTVdU/2C9PvX+8qh6tqldV9XM98HnXzyrgK679WuBCVT0ypBCG0QxmORjG4Dyrqve74xuALwDzgLtc0a9hJCknPL+s7kBExpEojXtc03XATXXafwqcmL0IhtEcphwMY3Cqc8tsBdbsZqb/agN9S53+DaMwmFvJMAZnpoh4RXAG8BAwybeJSKeIHLy7DlR1M/CSiLzdNZ0J3KOqLwObRWSRa/9w9sM3jOYxy8EwBmctsEREfkiSrfO7wJ3ANc4tVCEpdrPmdfpZAiwVkVHABuCjrv2jwHIR2eb6NYzCYFlZDaMObrXS71V1Xs5DMYxcMLeSYRiGUYNZDoZhGEYNZjkYhmEYNZhyMAzDMGow5WAYhmHUYMrBMAzDqMGUg2EYhlGDKQfDMAyjhv8DKzbefTNw69MAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-3000:-1000].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "first_august_week = [pd.Period(pd.Timestamp(y, 1, 1), 'W')\n", + " for y in range(1985,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_august_week[:-1],\n", + " first_august_week[1:]):\n", + " one_year = sorted_data['inc'][week1:week2-1]\n", + " \n", + " yearly_incidence.append(one_year.sum())\n", + " year.append(week2.year)\n", + "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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zwLvr6UOA1fXvX0y1j29R/bseqj+Ki4DlwO3AO4HPAJ8E9u70c7Q39sf+NP/p9hH6NmdQ/WV8dmael5kTHa6nU06kOsrnQ8BLgX+s778WeFk9/SPga8DxmXkT1ahiCCAzx4EbgRdn5ibgNKp3PD8BPpCZv5yj5zEb7M3U7M/UiuhPtx+HDkBmPg78T6frmAvbjqaIiBdTvYX7GnB1Zj4K/D5wd2Z+JSLuAc6OiD8G1gN/FhHLMvPBiLgTeCQingWcB7wxIp5Odc36/6N6W0hmjgFjc/4kG7I3e8b+7NpC2H7mywh9QZi0wR0NXEB1CNQrgY/VszwB3BERSzLzHqq3dYdT7bO7n+oYWIBfU7312wu4jOryn6cCRwJrMvOJOXpKbVM/54yIQezNTiLiafW/LwMuxP78loh4cr39vIJqN0iR/ZkXI/SSRcTeVCdQHQ18NSIuBF4EfCozz4+IA4DrIuIIqm+JOoLqrdy9VG/xXkt19M9/Ah+LiIuBZwNLgfvrdzffjIjXdHpjayIi9qU6QWMz8Gaq57/gezPpj/+fAyuAiYh4G9WXt39yofcHICKeBLyV6gPKjRFxDtXhhv9San8coXdQRBwErAMGgf+g+rDlJKp9eBMAmfkz4AqqI32uBZ4OPK9+iOuBVwCPZeY64NPApcD5VJ+6P75tXd2ywTWwBPgd4DkRsQx4DtUIaUH3pg7zpcBfAOdm5mBm/oBqpLhtngXbn9o7qI4wOZfq+45Pqm//Ggrtz1x88urPbj9ZXwIcNen2GVQfxpwOfHvS/b9LNSKAaiMdAQ6ol78KeNakeZd1+nm1uUenA2cDHwTOBF4D3GRvEuDtwIfr6W1fVnMScKP9Sern96Z6+kyqI+TeUPJryxF6Z/0K+Pak04K/SxXwF1GNSA8CyMz7gdsi4qjMPB+4C/gs1dvEr2fmfdseMAu5cNmknuwF/C9wG3BMZl4FHBIRvbAwezPJg8AfRcSpwPqIuIhq9PkH9buZhd6f/wJOj4jPA38PvAC4leq7kA+E8vrjPvQOym1Dq9+E1wrg8nr6i8B7gPdGxFOBHwI/rn/3IeBQ4K7M/NXcVTx3tvWG6oSOk6mO810RER+gOhRsGPjwQuzNJLdQ7Y46iups6uOpdxMAb46IjwP7s0D7k5mfjIjHqA47PILquPDXU53P8taIWE1h/XGE3gUyMyPiYOAgqlEFVCMKImId8GWqExjuq+d/PDNvnY8b3ExERA/VKPRfgS9RHXVwFHAKcEBEXMUC7U3tPqrwXpzV/uB19X3rqC4QdSULuz9QXfdptB5df4bq85dLqHapFNcfR+jd4wiqa9fcExFvoXrL936qfX7fz8ybO1lch0xQBdPjVJdP/jXw/szcAPx1RLwRuC0zb+lgjR2TmY/Wo8yP1HftRfWB+urMvGWh9yeqq7JupDqC7N+BR6jO8Hx7Zt5TYn+2fZCiDouIbwC/R3XI1P3AhzLzux0tqsvUJ3OcBIxk5k86XU+3iIiPUm07RwDXAGfVI/YFLyKeQ3Ws+GNUPfoC8JGszuwsjoHeBerjZc8C7gEuzurMNdXqkdYT6ca6WxFxKPDD+bqrYDbVA4HnAt/M6jLcxTLQJakQfigqSYUw0CWpEAa6JBXCQJekQhjoklQIA12SCmGgS1Ih/h/t64KUJ3NVQAAAAABJRU5ErkJggg==\n", 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Province/StateLatLong1/22/201/23/201/24/201/25/201/26/201/27/201/28/20...6/3/206/4/206/5/206/6/206/7/206/8/206/9/206/10/206/11/206/12/20
Country/Region
AfghanistanNaN33.00000065.0000000000000...17267180541896919551203422091721459221422289023546
AlbaniaNaN41.15330020.1683000000000...1184119712121232124612631299134113851416
AlgeriaNaN28.0339001.6596000000000...97339831993510050101541026510382104841058910698
AndorraNaN42.5063001.5218000000000...851852852852852852852852852853
AngolaNaN-11.20270017.8739000000000...86868688919296113118130
Antigua and BarbudaNaN17.060800-61.7964000000000...26262626262626262626
ArgentinaNaN-38.416100-63.6167000000000...19268201972103722020227942362024761259872737328764
ArmeniaNaN40.06910045.0382000000000...10524112211181712364131301332513675141031466915281
AustraliaAustralian Capital Territory-35.473500149.0124000000000...107107107108108108108108108108
AustraliaNew South Wales-33.868800151.2093000000344...3106311031103109311231143117311731153119
AustraliaNorthern Territory-12.463400130.8456000000000...29292929292929292929
AustraliaQueensland-28.016700153.4000000000000...1060106010611061106210621062106310641065
AustraliaSouth Australia-34.928500138.6007000000000...440440440440440440440440440440
AustraliaTasmania-41.454500145.9707000000000...228228228228228228228228228228
AustraliaVictoria-37.813600144.9631000000111...1678168116811685168716871691169917031703
AustraliaWestern Australia-31.950500115.8605000000000...592592596599599599599601602602
AustriaNaN47.51620014.5501000000000...16771168051684316898169021696816979170051703417064
AzerbaijanNaN40.14310047.5769000000000...6260652268607239755378768191853088829218
BahamasNaN25.034300-77.3963000000000...102102102103103103103103103103
BahrainNaN26.02750050.5500000000000...12815132961383514383147631541715731162001666717269
BangladeshNaN23.68500090.3563000000000...55140575636039163026657696850471675748657805281523
BarbadosNaN13.193900-59.5432000000000...92929292929292969696
BelarusNaN53.70980027.9534000000000...45116459814686847751486304945350265510665181652520
BelgiumNaN50.8333004.0000000000000...58685587675890759072592265934859437595695971159819
BeninNaN9.3077002.3158000000000...244261261261261288305305305388
BhutanNaN27.51420090.4336000000000...47474848595959596262
BoliviaNaN-16.290200-63.5887000000000...11638122451272813358136431394914644152811616516929
Bosnia and HerzegovinaNaN43.91590017.6791000000000...2551259426062606260627042728277528322893
BrazilNaN-14.235000-51.9253000000000...584016614941645771672846691758707412739503772416802828828810
BruneiNaN4.535300114.7277000000000...141141141141141141141141141141
..................................................................
Timor-LesteNaN-8.874217125.7275390000000...24242424242424242424
BelizeNaN13.193900-59.5432000000000...18181919191920202020
LaosNaN19.856270102.4954960000000...19191919191919191919
LibyaNaN26.33510017.2283310000000...196209239256256332359378393409
West Bank and GazaNaN31.95220035.2332000000000...457464464464472473481485487489
Guinea-BissauNaN11.803700-15.1804000000000...1339133913681368136813891389138913891460
MaliNaN17.570692-3.9961660000000...1386146114851523153315471586166717221752
Saint Kitts and NevisNaN17.357822-62.7829980000000...15151515151515151515
CanadaNorthwest Territories64.825500-124.8457000000000...5555555555
CanadaYukon64.282300-135.0000000000000...11111111111111111111
KosovoNaN42.60263620.9029770000000...1142114211421142114212631263129813261326
BurmaNaN21.91620095.9560000000000...233236236240242244246248260261
United KingdomAnguilla18.220600-63.0686000000000...3333333333
United KingdomBritish Virgin Islands18.420700-64.6400000000000...8888888888
United KingdomTurks and Caicos Islands21.694000-71.7979000000000...12121212121212121212
MS ZaandamNaN0.0000000.0000000000000...9999999999
BotswanaNaN-22.32850024.6849000000000...40404040404242484848
BurundiNaN-3.37310029.9189000000000...63636383838383838585
Sierra LeoneNaN8.460555-11.7798890000000...90991492994696910011025106210851103
NetherlandsBonaire, Sint Eustatius and Saba12.178400-68.2385000000000...7777777777
MalawiNaN-13.25430834.3015250000000...369393409409438443455455481481
United KingdomFalkland Islands (Malvinas)-51.796300-59.5236000000000...13131313131313131313
FranceSaint Pierre and Miquelon46.885200-56.3159000000000...1111111111
South SudanNaN6.87700031.3070000000000...994994994994131716041604160416701670
Western SaharaNaN24.215500-12.8858000000000...9999999999
Sao Tome and PrincipeNaN0.1863606.6130810000000...484485499499513513514611632639
YemenNaN15.55272748.5163880000000...419453469482484496524560591632
ComorosNaN-11.64550043.3333000000000...132132132141141141141162162163
TajikistanNaN38.86103471.2760930000000...4191428943704453452946094690476348344902
LesothoNaN-29.60998828.2336080000000...4444444444
\n", + "

266 rows × 146 columns

\n", + "
" + ], + "text/plain": [ + " Province/State Lat \\\n", + "Country/Region \n", + "Afghanistan NaN 33.000000 \n", + "Albania NaN 41.153300 \n", + "Algeria NaN 28.033900 \n", + "Andorra NaN 42.506300 \n", + "Angola NaN -11.202700 \n", + "Antigua and Barbuda NaN 17.060800 \n", + "Argentina NaN -38.416100 \n", + "Armenia NaN 40.069100 \n", + "Australia Australian Capital Territory -35.473500 \n", + "Australia New South Wales -33.868800 \n", + "Australia Northern Territory -12.463400 \n", + "Australia Queensland -28.016700 \n", + "Australia South Australia -34.928500 \n", + "Australia Tasmania -41.454500 \n", + "Australia Victoria -37.813600 \n", + "Australia Western Australia -31.950500 \n", + "Austria NaN 47.516200 \n", + "Azerbaijan NaN 40.143100 \n", + "Bahamas NaN 25.034300 \n", + "Bahrain NaN 26.027500 \n", + "Bangladesh NaN 23.685000 \n", + "Barbados NaN 13.193900 \n", + "Belarus NaN 53.709800 \n", + "Belgium NaN 50.833300 \n", + "Benin NaN 9.307700 \n", + "Bhutan NaN 27.514200 \n", + "Bolivia NaN -16.290200 \n", + "Bosnia and Herzegovina NaN 43.915900 \n", + "Brazil NaN -14.235000 \n", + "Brunei NaN 4.535300 \n", + "... ... ... \n", + "Timor-Leste NaN -8.874217 \n", + "Belize NaN 13.193900 \n", + "Laos NaN 19.856270 \n", + "Libya NaN 26.335100 \n", + "West Bank and Gaza NaN 31.952200 \n", + "Guinea-Bissau NaN 11.803700 \n", + "Mali NaN 17.570692 \n", + "Saint Kitts and Nevis NaN 17.357822 \n", + "Canada Northwest Territories 64.825500 \n", + "Canada Yukon 64.282300 \n", + "Kosovo NaN 42.602636 \n", + "Burma NaN 21.916200 \n", + "United Kingdom Anguilla 18.220600 \n", + "United Kingdom British Virgin Islands 18.420700 \n", + "United Kingdom Turks and Caicos Islands 21.694000 \n", + "MS Zaandam NaN 0.000000 \n", + "Botswana NaN -22.328500 \n", + "Burundi NaN -3.373100 \n", + "Sierra Leone NaN 8.460555 \n", + "Netherlands Bonaire, Sint Eustatius and Saba 12.178400 \n", + "Malawi NaN -13.254308 \n", + "United Kingdom Falkland Islands (Malvinas) -51.796300 \n", + "France Saint Pierre and Miquelon 46.885200 \n", + "South Sudan NaN 6.877000 \n", + "Western Sahara NaN 24.215500 \n", + "Sao Tome and Principe NaN 0.186360 \n", + "Yemen NaN 15.552727 \n", + "Comoros NaN -11.645500 \n", + "Tajikistan NaN 38.861034 \n", + "Lesotho NaN -29.609988 \n", + "\n", + " Long 1/22/20 1/23/20 1/24/20 1/25/20 \\\n", + "Country/Region \n", + "Afghanistan 65.000000 0 0 0 0 \n", + "Albania 20.168300 0 0 0 0 \n", + "Algeria 1.659600 0 0 0 0 \n", + "Andorra 1.521800 0 0 0 0 \n", + "Angola 17.873900 0 0 0 0 \n", + "Antigua and Barbuda -61.796400 0 0 0 0 \n", + "Argentina -63.616700 0 0 0 0 \n", + "Armenia 45.038200 0 0 0 0 \n", + "Australia 149.012400 0 0 0 0 \n", + "Australia 151.209300 0 0 0 0 \n", + "Australia 130.845600 0 0 0 0 \n", + "Australia 153.400000 0 0 0 0 \n", + "Australia 138.600700 0 0 0 0 \n", + "Australia 145.970700 0 0 0 0 \n", + "Australia 144.963100 0 0 0 0 \n", + "Australia 115.860500 0 0 0 0 \n", + "Austria 14.550100 0 0 0 0 \n", + "Azerbaijan 47.576900 0 0 0 0 \n", + "Bahamas -77.396300 0 0 0 0 \n", + "Bahrain 50.550000 0 0 0 0 \n", + "Bangladesh 90.356300 0 0 0 0 \n", + "Barbados -59.543200 0 0 0 0 \n", + "Belarus 27.953400 0 0 0 0 \n", + "Belgium 4.000000 0 0 0 0 \n", + "Benin 2.315800 0 0 0 0 \n", + "Bhutan 90.433600 0 0 0 0 \n", + "Bolivia -63.588700 0 0 0 0 \n", + "Bosnia and Herzegovina 17.679100 0 0 0 0 \n", + "Brazil -51.925300 0 0 0 0 \n", + "Brunei 114.727700 0 0 0 0 \n", + "... ... ... ... ... ... \n", + "Timor-Leste 125.727539 0 0 0 0 \n", + "Belize -59.543200 0 0 0 0 \n", + "Laos 102.495496 0 0 0 0 \n", + "Libya 17.228331 0 0 0 0 \n", + "West Bank and Gaza 35.233200 0 0 0 0 \n", + "Guinea-Bissau -15.180400 0 0 0 0 \n", + "Mali -3.996166 0 0 0 0 \n", + "Saint Kitts and Nevis -62.782998 0 0 0 0 \n", + "Canada -124.845700 0 0 0 0 \n", + "Canada -135.000000 0 0 0 0 \n", + "Kosovo 20.902977 0 0 0 0 \n", + "Burma 95.956000 0 0 0 0 \n", + "United Kingdom -63.068600 0 0 0 0 \n", + "United Kingdom -64.640000 0 0 0 0 \n", + "United Kingdom -71.797900 0 0 0 0 \n", + "MS Zaandam 0.000000 0 0 0 0 \n", + "Botswana 24.684900 0 0 0 0 \n", + "Burundi 29.918900 0 0 0 0 \n", + "Sierra Leone -11.779889 0 0 0 0 \n", + "Netherlands -68.238500 0 0 0 0 \n", + "Malawi 34.301525 0 0 0 0 \n", + "United Kingdom -59.523600 0 0 0 0 \n", + "France -56.315900 0 0 0 0 \n", + "South Sudan 31.307000 0 0 0 0 \n", + "Western Sahara -12.885800 0 0 0 0 \n", + "Sao Tome and Principe 6.613081 0 0 0 0 \n", + "Yemen 48.516388 0 0 0 0 \n", + "Comoros 43.333300 0 0 0 0 \n", + "Tajikistan 71.276093 0 0 0 0 \n", + "Lesotho 28.233608 0 0 0 0 \n", + "\n", + " 1/26/20 1/27/20 1/28/20 ... 6/3/20 6/4/20 \\\n", + "Country/Region ... \n", + "Afghanistan 0 0 0 ... 17267 18054 \n", + "Albania 0 0 0 ... 1184 1197 \n", + "Algeria 0 0 0 ... 9733 9831 \n", + "Andorra 0 0 0 ... 851 852 \n", + "Angola 0 0 0 ... 86 86 \n", + "Antigua and Barbuda 0 0 0 ... 26 26 \n", + "Argentina 0 0 0 ... 19268 20197 \n", + "Armenia 0 0 0 ... 10524 11221 \n", + "Australia 0 0 0 ... 107 107 \n", + "Australia 3 4 4 ... 3106 3110 \n", + "Australia 0 0 0 ... 29 29 \n", + "Australia 0 0 0 ... 1060 1060 \n", + "Australia 0 0 0 ... 440 440 \n", + "Australia 0 0 0 ... 228 228 \n", + "Australia 1 1 1 ... 1678 1681 \n", + "Australia 0 0 0 ... 592 592 \n", + "Austria 0 0 0 ... 16771 16805 \n", + "Azerbaijan 0 0 0 ... 6260 6522 \n", + "Bahamas 0 0 0 ... 102 102 \n", + "Bahrain 0 0 0 ... 12815 13296 \n", + "Bangladesh 0 0 0 ... 55140 57563 \n", + "Barbados 0 0 0 ... 92 92 \n", + "Belarus 0 0 0 ... 45116 45981 \n", + "Belgium 0 0 0 ... 58685 58767 \n", + "Benin 0 0 0 ... 244 261 \n", + "Bhutan 0 0 0 ... 47 47 \n", + "Bolivia 0 0 0 ... 11638 12245 \n", + "Bosnia and Herzegovina 0 0 0 ... 2551 2594 \n", + "Brazil 0 0 0 ... 584016 614941 \n", + "Brunei 0 0 0 ... 141 141 \n", + "... ... ... ... ... ... ... \n", + "Timor-Leste 0 0 0 ... 24 24 \n", + "Belize 0 0 0 ... 18 18 \n", + "Laos 0 0 0 ... 19 19 \n", + "Libya 0 0 0 ... 196 209 \n", + "West Bank and Gaza 0 0 0 ... 457 464 \n", + "Guinea-Bissau 0 0 0 ... 1339 1339 \n", + "Mali 0 0 0 ... 1386 1461 \n", + "Saint Kitts and Nevis 0 0 0 ... 15 15 \n", + "Canada 0 0 0 ... 5 5 \n", + "Canada 0 0 0 ... 11 11 \n", + "Kosovo 0 0 0 ... 1142 1142 \n", + "Burma 0 0 0 ... 233 236 \n", + "United Kingdom 0 0 0 ... 3 3 \n", + "United Kingdom 0 0 0 ... 8 8 \n", + "United Kingdom 0 0 0 ... 12 12 \n", + "MS Zaandam 0 0 0 ... 9 9 \n", + "Botswana 0 0 0 ... 40 40 \n", + "Burundi 0 0 0 ... 63 63 \n", + "Sierra Leone 0 0 0 ... 909 914 \n", + "Netherlands 0 0 0 ... 7 7 \n", + "Malawi 0 0 0 ... 369 393 \n", + "United Kingdom 0 0 0 ... 13 13 \n", + "France 0 0 0 ... 1 1 \n", + "South Sudan 0 0 0 ... 994 994 \n", + "Western Sahara 0 0 0 ... 9 9 \n", + "Sao Tome and Principe 0 0 0 ... 484 485 \n", + "Yemen 0 0 0 ... 419 453 \n", + "Comoros 0 0 0 ... 132 132 \n", + "Tajikistan 0 0 0 ... 4191 4289 \n", + "Lesotho 0 0 0 ... 4 4 \n", + "\n", + " 6/5/20 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 \\\n", + "Country/Region \n", + "Afghanistan 18969 19551 20342 20917 21459 22142 \n", + "Albania 1212 1232 1246 1263 1299 1341 \n", + "Algeria 9935 10050 10154 10265 10382 10484 \n", + "Andorra 852 852 852 852 852 852 \n", + "Angola 86 88 91 92 96 113 \n", + "Antigua and Barbuda 26 26 26 26 26 26 \n", + "Argentina 21037 22020 22794 23620 24761 25987 \n", + "Armenia 11817 12364 13130 13325 13675 14103 \n", + "Australia 107 108 108 108 108 108 \n", + "Australia 3110 3109 3112 3114 3117 3117 \n", + "Australia 29 29 29 29 29 29 \n", + "Australia 1061 1061 1062 1062 1062 1063 \n", + "Australia 440 440 440 440 440 440 \n", + "Australia 228 228 228 228 228 228 \n", + "Australia 1681 1685 1687 1687 1691 1699 \n", + "Australia 596 599 599 599 599 601 \n", + "Austria 16843 16898 16902 16968 16979 17005 \n", + "Azerbaijan 6860 7239 7553 7876 8191 8530 \n", + "Bahamas 102 103 103 103 103 103 \n", + "Bahrain 13835 14383 14763 15417 15731 16200 \n", + "Bangladesh 60391 63026 65769 68504 71675 74865 \n", + "Barbados 92 92 92 92 92 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Province/State1/22/201/23/201/24/201/25/201/26/201/27/201/28/201/29/201/30/20...6/3/206/4/206/5/206/6/206/7/206/8/206/9/206/10/206/11/206/12/20
Country/Region
AfghanistanNaN000000000...17267180541896919551203422091721459221422289023546
AlbaniaNaN000000000...1184119712121232124612631299134113851416
AlgeriaNaN000000000...97339831993510050101541026510382104841058910698
AndorraNaN000000000...851852852852852852852852852853
AngolaNaN000000000...86868688919296113118130
Antigua and BarbudaNaN000000000...26262626262626262626
ArgentinaNaN000000000...19268201972103722020227942362024761259872737328764
ArmeniaNaN000000000...10524112211181712364131301332513675141031466915281
AustraliaAustralian Capital Territory000000000...107107107108108108108108108108
AustraliaNew South Wales000034444...3106311031103109311231143117311731153119
AustraliaNorthern Territory000000000...29292929292929292929
AustraliaQueensland000000013...1060106010611061106210621062106310641065
AustraliaSouth Australia000000000...440440440440440440440440440440
AustraliaTasmania000000000...228228228228228228228228228228
AustraliaVictoria000011112...1678168116811685168716871691169917031703
AustraliaWestern Australia000000000...592592596599599599599601602602
AustriaNaN000000000...16771168051684316898169021696816979170051703417064
AzerbaijanNaN000000000...6260652268607239755378768191853088829218
BahamasNaN000000000...102102102103103103103103103103
BahrainNaN000000000...12815132961383514383147631541715731162001666717269
BangladeshNaN000000000...55140575636039163026657696850471675748657805281523
BarbadosNaN000000000...92929292929292969696
BelarusNaN000000000...45116459814686847751486304945350265510665181652520
BelgiumNaN000000000...58685587675890759072592265934859437595695971159819
BeninNaN000000000...244261261261261288305305305388
BhutanNaN000000000...47474848595959596262
BoliviaNaN000000000...11638122451272813358136431394914644152811616516929
Bosnia and HerzegovinaNaN000000000...2551259426062606260627042728277528322893
BrazilNaN000000000...584016614941645771672846691758707412739503772416802828828810
BruneiNaN000000000...141141141141141141141141141141
..................................................................
Timor-LesteNaN000000000...24242424242424242424
BelizeNaN000000000...18181919191920202020
LaosNaN000000000...19191919191919191919
LibyaNaN000000000...196209239256256332359378393409
West Bank and GazaNaN000000000...457464464464472473481485487489
Guinea-BissauNaN000000000...1339133913681368136813891389138913891460
MaliNaN000000000...1386146114851523153315471586166717221752
Saint Kitts and NevisNaN000000000...15151515151515151515
CanadaNorthwest Territories000000000...5555555555
CanadaYukon000000000...11111111111111111111
KosovoNaN000000000...1142114211421142114212631263129813261326
BurmaNaN000000000...233236236240242244246248260261
United KingdomAnguilla000000000...3333333333
United KingdomBritish Virgin Islands000000000...8888888888
United KingdomTurks and Caicos Islands000000000...12121212121212121212
MS ZaandamNaN000000000...9999999999
BotswanaNaN000000000...40404040404242484848
BurundiNaN000000000...63636383838383838585
Sierra LeoneNaN000000000...90991492994696910011025106210851103
NetherlandsBonaire, Sint Eustatius and Saba000000000...7777777777
MalawiNaN000000000...369393409409438443455455481481
United KingdomFalkland Islands (Malvinas)000000000...13131313131313131313
FranceSaint Pierre and Miquelon000000000...1111111111
South SudanNaN000000000...994994994994131716041604160416701670
Western SaharaNaN000000000...9999999999
Sao Tome and PrincipeNaN000000000...484485499499513513514611632639
YemenNaN000000000...419453469482484496524560591632
ComorosNaN000000000...132132132141141141141162162163
TajikistanNaN000000000...4191428943704453452946094690476348344902
LesothoNaN000000000...4444444444
\n", + "

266 rows × 144 columns

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"Country/Region \n", + "Afghanistan 0 0 0 0 0 0 \n", + "Albania 0 0 0 0 0 0 \n", + "Algeria 0 0 0 0 0 0 \n", + "Andorra 0 0 0 0 0 0 \n", + "Angola 0 0 0 0 0 0 \n", + "Antigua and Barbuda 0 0 0 0 0 0 \n", + "Argentina 0 0 0 0 0 0 \n", + "Armenia 0 0 0 0 0 0 \n", + "Australia 0 0 0 0 0 0 \n", + "Australia 0 0 3 4 4 4 \n", + "Australia 0 0 0 0 0 0 \n", + "Australia 0 0 0 0 0 1 \n", + "Australia 0 0 0 0 0 0 \n", + "Australia 0 0 0 0 0 0 \n", + "Australia 0 0 1 1 1 1 \n", + "Australia 0 0 0 0 0 0 \n", + "Austria 0 0 0 0 0 0 \n", + "Azerbaijan 0 0 0 0 0 0 \n", + "Bahamas 0 0 0 0 0 0 \n", + "Bahrain 0 0 0 0 0 0 \n", + "Bangladesh 0 0 0 0 0 0 \n", + "Barbados 0 0 0 0 0 0 \n", + "Belarus 0 0 0 0 0 0 \n", + "Belgium 0 0 0 0 0 0 \n", + "Benin 0 0 0 0 0 0 \n", + "Bhutan 0 0 0 0 0 0 \n", + "Bolivia 0 0 0 0 0 0 \n", + "Bosnia and Herzegovina 0 0 0 0 0 0 \n", + "Brazil 0 0 0 0 0 0 \n", + "Brunei 0 0 0 0 0 0 \n", + "... ... ... ... ... ... ... \n", + "Timor-Leste 0 0 0 0 0 0 \n", + "Belize 0 0 0 0 0 0 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244 261 261 261 \n", + "Bhutan 0 ... 47 47 48 48 \n", + "Bolivia 0 ... 11638 12245 12728 13358 \n", + "Bosnia and Herzegovina 0 ... 2551 2594 2606 2606 \n", + "Brazil 0 ... 584016 614941 645771 672846 \n", + "Brunei 0 ... 141 141 141 141 \n", + "... ... ... ... ... ... ... \n", + "Timor-Leste 0 ... 24 24 24 24 \n", + "Belize 0 ... 18 18 19 19 \n", + "Laos 0 ... 19 19 19 19 \n", + "Libya 0 ... 196 209 239 256 \n", + "West Bank and Gaza 0 ... 457 464 464 464 \n", + "Guinea-Bissau 0 ... 1339 1339 1368 1368 \n", + "Mali 0 ... 1386 1461 1485 1523 \n", + "Saint Kitts and Nevis 0 ... 15 15 15 15 \n", + "Canada 0 ... 5 5 5 5 \n", + "Canada 0 ... 11 11 11 11 \n", + "Kosovo 0 ... 1142 1142 1142 1142 \n", + "Burma 0 ... 233 236 236 240 \n", + "United Kingdom 0 ... 3 3 3 3 \n", + "United Kingdom 0 ... 8 8 8 8 \n", + "United Kingdom 0 ... 12 12 12 12 \n", + "MS Zaandam 0 ... 9 9 9 9 \n", + "Botswana 0 ... 40 40 40 40 \n", + "Burundi 0 ... 63 63 63 83 \n", + "Sierra Leone 0 ... 909 914 929 946 \n", 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ChinaShaanxi035152235465663...309309311311311311311311311311
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ChinaTibet000000001...1111111111
ChinaXinjiang022345101314...76767676767676767676
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40 \n", + "China Shanxi 1 1 1 6 9 \n", + "China Sichuan 5 8 15 28 44 \n", + "China Tianjin 4 4 8 10 14 \n", + "China Tibet 0 0 0 0 0 \n", + "China Xinjiang 0 2 2 3 4 \n", + "China Yunnan 1 2 5 11 16 \n", + "China Zhejiang 10 27 43 62 104 \n", + "\n", + " 1/27/20 1/28/20 1/29/20 1/30/20 ... 6/4/20 6/5/20 \\\n", + "Country/Region ... \n", + "China 70 106 152 200 ... 991 991 \n", + "China 80 91 111 114 ... 594 594 \n", + "China 110 132 147 182 ... 579 579 \n", + "China 59 80 84 101 ... 358 358 \n", + "China 14 19 24 26 ... 139 139 \n", + "China 151 207 277 354 ... 1598 1601 \n", + "China 46 51 58 78 ... 254 254 \n", + "China 7 9 9 12 ... 147 147 \n", + "China 33 40 43 46 ... 169 169 \n", + "China 18 33 48 65 ... 328 328 \n", + "China 21 33 38 44 ... 947 947 \n", + "China 128 168 206 278 ... 1276 1276 \n", + "China 8 8 10 10 ... 1099 1102 \n", + "China 1423 3554 3554 4903 ... 68135 68135 \n", + "China 100 143 221 277 ... 1019 1019 \n", + "China 11 15 16 19 ... 235 235 \n", + "China 47 70 99 129 ... 653 653 \n", + "China 72 109 109 162 ... 932 932 \n", + "China 6 8 9 14 ... 155 155 \n", + "China 27 34 39 41 ... 149 149 \n", + "China 6 7 7 7 ... 45 45 \n", + "China 7 11 12 17 ... 75 75 \n", + "China 6 6 6 8 ... 18 18 \n", + "China 35 46 56 63 ... 309 309 \n", + "China 75 95 130 158 ... 792 792 \n", + "China 53 66 96 112 ... 677 677 \n", + "China 13 27 27 35 ... 198 198 \n", + "China 69 90 108 142 ... 578 578 \n", + "China 23 24 27 31 ... 192 192 \n", + "China 0 0 0 1 ... 1 1 \n", + "China 5 10 13 14 ... 76 76 \n", + "China 26 44 55 70 ... 185 185 \n", + "China 128 173 296 428 ... 1268 1268 \n", + "\n", + " 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 6/12/20 \\\n", + "Country/Region \n", + "China 991 991 991 991 991 991 991 \n", + "China 594 594 594 594 594 595 601 \n", + "China 579 579 579 579 579 579 579 \n", + "China 359 359 359 359 360 361 361 \n", + "China 139 139 139 139 139 139 139 \n", + "China 1602 1602 1604 1604 1607 1607 1608 \n", + "China 254 254 254 254 254 254 254 \n", + "China 147 147 147 147 147 147 147 \n", + "China 170 170 170 170 170 170 171 \n", + "China 328 328 328 328 328 328 328 \n", + "China 947 947 947 947 947 947 947 \n", + "China 1276 1276 1276 1276 1276 1276 1276 \n", + "China 1105 1106 1107 1107 1107 1107 1108 \n", + "China 68135 68135 68135 68135 68135 68135 68135 \n", + "China 1019 1019 1019 1019 1019 1019 1019 \n", + "China 235 235 235 237 237 237 237 \n", + "China 653 653 653 653 653 653 653 \n", + "China 932 932 932 932 932 932 932 \n", + "China 155 155 155 155 155 155 155 \n", + "China 149 149 149 149 149 149 149 \n", + "China 45 45 45 45 45 45 45 \n", + "China 75 75 75 75 75 75 75 \n", + "China 18 18 18 18 18 18 18 \n", + "China 311 311 311 311 311 311 311 \n", + "China 792 792 792 792 792 792 792 \n", + "China 677 678 678 678 684 689 690 \n", + "China 198 198 198 198 198 198 198 \n", + "China 578 581 582 582 582 582 583 \n", + "China 193 193 193 194 195 195 196 \n", + "China 1 1 1 1 1 1 1 \n", + "China 76 76 76 76 76 76 76 \n", + "China 185 185 185 185 185 185 185 \n", + "China 1268 1268 1268 1268 1268 1268 1268 \n", + "\n", + " 6/13/20 \n", + "Country/Region \n", + "China 991 \n", + "China 637 \n", + "China 580 \n", + "China 361 \n", + "China 139 \n", + "China 1625 \n", + "China 254 \n", + "China 147 \n", + "China 171 \n", + "China 328 \n", + "China 947 \n", + "China 1276 \n", + "China 1109 \n", + "China 68135 \n", + "China 1019 \n", + "China 237 \n", + "China 653 \n", + "China 932 \n", + "China 155 \n", + "China 151 \n", + "China 45 \n", + "China 75 \n", + "China 18 \n", + "China 311 \n", + "China 792 \n", + "China 691 \n", + "China 198 \n", + "China 583 \n", + "China 196 \n", + "China 1 \n", + "China 76 \n", + "China 185 \n", + "China 1268 \n", + "\n", + "[33 rows x 145 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Chine" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "suppression des colonies et isolation de Hong Kong de la Chine" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "Belgique=Belgique.drop(columns=['Province/State'])\n", + "Chine=Chine.drop(columns=['Province/State'])\n", + "France_metropolitaine=France_metropolitaine.drop(columns=['Province/State'])\n", + "Allemagne=Allemagne.drop(columns=['Province/State'])\n", + "Iran=Iran.drop(columns=['Province/State'])\n", + "Italie=Italie.drop(columns=['Province/State'])\n", + "Japon=Japon.drop(columns=['Province/State'])\n", + "Hollande=Hollande.drop(columns=['Province/State'])\n", + "Portugal=Portugal.drop(columns=['Province/State'])\n", + "Espagne=Espagne.drop(columns=['Province/State'])\n", + "RoyaumeUnis=RoyaumeUnis.drop(columns=['Province/State'])\n", + "CoréeduSud=CoréeduSud.drop(columns=['Province/State'])\n", + "EtatsUnis=EtatsUnis.drop(columns=['Province/State'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "Suppression des colonnes province/etat sauf pour Hong Kong" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "SommeChine=Chine.sum()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/22/20 548\n", + "1/23/20 643\n", + "1/24/20 920\n", + "1/25/20 1406\n", + "1/26/20 2075\n", + "1/27/20 2877\n", + "1/28/20 5509\n", + "1/29/20 6087\n", + "1/30/20 8141\n", + "1/31/20 9802\n", + "2/1/20 11891\n", + "2/2/20 16630\n", + "2/3/20 19716\n", + "2/4/20 23707\n", + "2/5/20 27440\n", + "2/6/20 30587\n", + "2/7/20 34110\n", + "2/8/20 36814\n", + "2/9/20 39829\n", + "2/10/20 42354\n", + "2/11/20 44386\n", + "2/12/20 44759\n", + "2/13/20 59895\n", + "2/14/20 66358\n", + "2/15/20 68413\n", + "2/16/20 70513\n", + "2/17/20 72434\n", + "2/18/20 74211\n", + "2/19/20 74619\n", + "2/20/20 75077\n", + " ... \n", + "5/14/20 84029\n", + "5/15/20 84038\n", + "5/16/20 84044\n", + "5/17/20 84054\n", + "5/18/20 84063\n", + "5/19/20 84063\n", + "5/20/20 84063\n", + "5/21/20 84063\n", + "5/22/20 84081\n", + "5/23/20 84084\n", + "5/24/20 84095\n", + "5/25/20 84102\n", + "5/26/20 84103\n", + "5/27/20 84106\n", + "5/28/20 84106\n", + "5/29/20 84123\n", + "5/30/20 84128\n", + "5/31/20 84146\n", + "6/1/20 84154\n", + "6/2/20 84161\n", + "6/3/20 84160\n", + "6/4/20 84171\n", + "6/5/20 84177\n", + "6/6/20 84186\n", + "6/7/20 84191\n", + "6/8/20 84195\n", + "6/9/20 84198\n", + "6/10/20 84209\n", + "6/11/20 84216\n", + "6/12/20 84228\n", + "Length: 143, dtype: int64\n" + ] + } + ], + "source": [ + "print(SommeChine)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "HongKong=HongKong.drop(columns='Province/State')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'str' object is not callable", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mHongKong\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Conutry/Region'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mPY2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mrename\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 3025\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axis'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3026\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'mapper'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3027\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3028\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3029\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mAppender\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_shared_docs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fillna'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_shared_doc_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mrename\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 882\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_level_number\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 883\u001b[0m result._data = result._data.rename_axis(f, axis=baxis, copy=copy,\n\u001b[0;32m--> 884\u001b[0;31m level=level)\n\u001b[0m\u001b[1;32m 885\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_clear_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 886\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mrename_axis\u001b[0;34m(self, mapper, axis, copy, level)\u001b[0m\n\u001b[1;32m 3089\u001b[0m \"\"\"\n\u001b[1;32m 3090\u001b[0m \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdeep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3091\u001b[0;31m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_transform_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmapper\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3092\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3093\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36m_transform_index\u001b[0;34m(index, func, level)\u001b[0m\n\u001b[1;32m 5078\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_tuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5079\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5080\u001b[0;31m \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5081\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5082\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 5078\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_tuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5079\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5080\u001b[0;31m \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5081\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5082\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: 'str' object is not callable" + ] + } + ], + "source": [ + "HongKong.rename('Conutry/Region')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [], + "source": [ + "Belgique=Belgique.T\n", + "France=France_metropolitaine.T\n", + "Allemagne=Allemagne.T\n", + "Iran=Iran.T\n", + "Italie=Italie.T\n", + "Japon=Japon.T\n", + "Hollande=Hollande.T\n", + "Portugal=Portugal.T\n", + "Espagne=Espagne.T\n", + "RoyaumeUnis=RoyaumeUnis.T\n", + "CoreeduSud=CoréeduSud.T\n", + "EtatsUnis=EtatsUnis.T\n", + "HongKong=HongKong.T" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "source": [ + "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop.html#pandas.DataFrame.drop\n", + "https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html#other-plots\n", + "https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#indexing-with-list-with-missing-labels-is-deprecated\n", + "https://pandas.pydata.org/pandas-docs/stable/user_guide/index.html#user-guide" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "hideCode": false, + "hidePrompt": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pd.concat([Belgique,France,Allemagne,Iran,Italie,Japon,Hollande,Portugal,Espagne,RoyaumeUnis,CoreeduSud,EtatsUnis,HongKong,SommeChine],axis=1).plot(logy=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plotter en log,\n", + "SommeChine=0\n", + "HongKong=China" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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N2WSkJjkdjoijelfpprESqk/C0Gndcz5xRHldE4/+7jMy+yXx0K1jnA5HxHG9q3Rz9kDgUYk+ZrmbfTzy292U1TbxwrJc0pITnA5JxHG9axhCa6K/1tk4JCJ8fstjL+9j94lKfnn/TK4bMcDpkER6hN5Voz+zH1KHQupgpyORMLPW8v03DvCnA2f4/sJJLJx2jdMhifQYvatGf/YAXKPefKzx+vz88/pDrNtZzMp5OTysurzIJXpPjb7ZHZilUvX5mFJa6+b+Fz7lxY9P8NDN2Tw2f7zTIYn0OL2nRl+WB9an+nwMqW/yct+vP+ZcjZt/+9p13DtTN7+JtKf3JPoz+wOP6tHHjH/dfIQTFQ2sffhG5oxNdzockR6r91yMPXsAEvvBQM1FHgt2nzjPmo+Os2zOKCV5kQ70nouxxZ/C0KkQ13v+b4tVzT4/j792gGH9+/BPCyY6HY5Ij9c7LsaW5sHZ/ZrbJkas3XGSgtI6fnT3FM1IKRKE3tG93fs/EBcP077mdCQSolp3M//xTj5zxqRz+yTdDyESjNhP9D4v7P89jJsPqZlORyMhWrWtiIp6D08unKhFRESCFPuJvnAL1J2D6fc7HYmE6FyNm+e3F3H3dcO4NkvTG4gEK/YT/d6XoG96oEcvUe3f3zmKz2/53p0TnA5FJKrEdqJvqoMjm2DafRCf6HQ0EoL8c7X8fmcxX79xNCMG9XU6HJGoEtvDKwv+DL4mmHR3ZNqXbvOzTYdJSYrnO1/UalEinRXbwyvz/gh9M2DkjZFpX7rFB/nlvJNXyqNzcxiYok9mIp0Vu6UbrwfyN8OEuyDO5XQ00kV1TV4ef20/2RkpfOMLo50ORyQqxe7dJse2QVONbpKKcj/dmMfp6kZeeWQOyQn6D1ukK2K3R394AySmQvZtTkciXfRBfjm/+/QkD92cTe7oQU6HIxK1YjPR+/1weCOMuwMSkp2ORrqg1t3M46/tZ0xmCo/N13BKkVDEZunm9B6oL4UJX3Y6Eumin2zM40x1I6988yaVbERCFJs9+vzNYOIg53anI5Eu2Hq0jLU7inn4ljFcP2qg0+GIRL3YTfRZs6Cv6rrR5lyNm8de3kvO4FT+/g4tCygSDmFP9MaYScaYXxtjXjXGfCvc7XeorhROfxaoz0tU8fr8fGftHuqbfPzy/pkq2YiESVCJ3hiz2hhTaow5eNn+BcaYI8aYAmPMEwDW2jxr7TeBrwG54Q+5AwXvBB41t03U+bc/H2XHsfP85N6pjB/Sz+lwRGJGsD36NcCCtjuMMS7gOeAuYDKw1BgzueW1u4EPgHfDFmmw8jdD6lAtAh5lPi2q4FdbC1kyawR/OUOLfIuEU1CJ3lq7DTh/2e7ZQIG1tsha6wHWAfe0HL/eWnsTcMW5gY0xK4wxu4wxu8rKyroW/eV8XijYAuO+BJqrPGrUupt57JV9jBzUlx8umux0OCIxJ5ThlcOB4jbbJcANxpi5wL1AErDxSm+21q4CVgHk5ubaEOK46MSH0FQN4+4MS3PSPX78xzxOVwWGUqZoaUCRsAvlr6q9LrO11r4PvB9UA8YsBhbn5IRpRsJDr0NCCuR8KTztScTln6vl5d0aSikSSaGMuikBRrTZzgJOd6aBsM5e6WuGz9+EiQshUfOVR4tn3yugT4KLb9421ulQRGJWKIl+JzDOGJNtjEkElgDrO9NAWOejL3ofGith6ldCb0u6RVFZHRv2nebrN45ikKYfFomYYIdXrgU+BiYYY0qMMQ9aa73ASuBtIA942Vp7qDMnD2uP/uDrkNQfxn4x9LakWzz3XiGJ8XE8dMsYp0MRiWlB1eittUuvsH8jV7ng2pGw1eib3XD4j4GVpOKTQmtLusXRc7X8Ye8pls0ZRWY//ZuJRFJsrDC1738Cc89P/cvwBCYRZa3lRxsOkZLo4jtfHOd0OCIxL/rnujmzHzY9Cdm3wph5TkcjQdh08CwfFlTw2PwJqs2LdIPoXhy8sQpeXgZ9BsJXVmvJwCjgbvbx4z/lMXFoP+6/YaTT4Yj0CtFdutn2c6g6CfetgdTMsMYmkbHreCWnqhp5bP4E4l3R/4FSJBpE922I874fKNeMvNHpSCRIe4srAZidrSmkRbpLdJduEvsG5rWRqLG3uJoxmSn075PgdCgivUZ0l24kqlhr2VtcxfQRA5wORaRXUZFUus3pajfldU1K9CLdTIleus3ek1UASvQi3Sy6a/QSVfaVVJEYH8fEoWlOhyLSq6hGL91m78kqpgxLIzFeHyRFupP+4qRbeH1+DpyqVtlGxAHRPY5eerzi8w2s3XGSygYPjc0+JXoRByjRS8Q0eLx8Y81OisrqSIp3MSQtiTlj0p0OS6TXcTTRh30pQekxrLX84I2DFJbV8dKDN/CFnAynQxLptXQxViJizUfHeX3PKf7P7eOV5EUcptKNhJW1lv94N59/fyefL00awsov6tOaiNOU6CWsfrIxj+e3H+Or12fx03un4YozTock0usp0UvY/Pnzczy//Rhfv3EU/3LPFIxRkhfpCTSOXsKitNbN46/tZ/I1afxg0SQleZEeRIleQub3W/7xlf3UN3l5Zul0kuK10pdIT6K5biRkL358nG1Hy/jBosnkDO7ndDgichkNr5SQHDlby0/fOsztEwfzN1oDVqRHUulGuszvt3x33R7SkuP52VevVV1epIdSopcuO3i6msNna/mnBRPJSE1yOhwRuQIleumyrUfKMAZunzjY6VBE5CqU6KXLtuWXMW14f9LVmxfp0ZTopUuqG5v57GQVt47LdDoUEemAEr10yUcF5fj8ltsmKNGL9HRK9NIlW4+W0S85nhlaSESkx4tIojfG/IUx5nljzJvGmPmROIc4x1rL1qNl3JyTQbxLfQWRni7ov1JjzGpjTKkx5uBl+xcYY44YYwqMMU8AWGv/YK19GHgA+KuwRiyOKyqv50y1m1tUnxeJCp3pjq0BFrTdYYxxAc8BdwGTgaXGmMltDvlBy+sSQ46erQVg2nDd0SwSDYJO9NbabcD5y3bPBgqstUXWWg+wDrjHBPwMeMta+1l77RljVhhjdhljdpWVlXU1fnFAYVkdAGMyUxyORESCEWqBdThQ3Ga7pGXfd4AvAV81xnyzvTdaa1dZa3OttbmZmSoBRJOC0jqG9U8mJUnLGYhEg1D/Utub3MRaa58BnunwzVocPCoVltUzdnCq02GISJBC7dGXACPabGcBp4N9s2avjD5+v6WwrI6xmUr0ItEi1ES/ExhnjMk2xiQCS4D1wb5Z89FHn7M1bho8PnLUoxeJGp0ZXrkW+BiYYIwpMcY8aK31AiuBt4E84GVr7aFg21SPPvoUlAYuxKpHLxI9gq7RW2uXXmH/RmBjV06uGn30uTDiRj16keihFaakUwrL6khLjicjNdHpUEQkSLp/XTqloLSOnMGpWk1KJIpocXDplMKyetXnRaKMSjcStOrGZspqm1SfF4kyKt1I0C5ciFWPXiS6qHQjQbswtFI9epHootKNBK2wrI5EVxxZA/s4HYqIdIJKNxK0wtI6sjNStNiISJTRX6wELTCZmaYmFok2qtFLUJq8Pk6ebyBHF2JFoo5q9BKUExUN+PxW0xOLRCGVbiQohZrMTCRqKdFLUC4MrdTygSLRR4leglJYVsfwAX3om6jlA0WijS7GSlAKyupUnxeJUroYKx3y+y2FpfWMVdlGJCqpdCMdOlPjprFZyweKRCsleumQRtyIRDcleulQviYzE4lqSvTSoQMlVQxJSyIjNcnpUESkC5TopUN7i6uYPmKA02GISBdpeKVcVWW9h+MVDUwfMdDpUESkizS8Uq5qb3EVgHr0IlFMpRu5qj3FVcQZuDZL/xmLRCslermqvcVVjB/Sj5QkTX0gEq2U6OWKrLXsK65ixkiVbUSimRK9XNGx8nqqG5tVnxeJckr0ckV7Tl64EKsRNyLRTIlermhPcSUpiS7dESsS5ZTo5Yo+LTrP9aMH4YozTociIiEIe6I3xowxxvyXMebVcLct3aeston80jrmjEl3OhQRCVFQid4Ys9oYU2qMOXjZ/gXGmCPGmAJjzBMA1toia+2DkQhWus8nRRUAzBmrRC8S7YLt0a8BFrTdYYxxAc8BdwGTgaXGmMlhjU4c83FRBalJ8UwdluZ0KCISoqASvbV2G3D+st2zgYKWHrwHWAfcE+yJjTErjDG7jDG7ysrKgg5YuscnhRXMzh5EvEuXcUSiXSh/xcOB4jbbJcBwY0y6MebXwAxjzJNXerO1dpW1Ntdam5uZmRlCGBJu52rcFJXXqz4vEiNCua+9vaEY1lpbAXwzqAaMWQwszsnJCSEMCbcL9fkblehFYkIoPfoSYESb7SzgdGca0OyVPdPHhRWkJcczWfV5kZgQSqLfCYwzxmQbYxKBJcD6zjSg+eh7pryztUzL6q/x8yIxItjhlWuBj4EJxpgSY8yD1lovsBJ4G8gDXrbWHurMydWj75nKa5sY3C/Z6TBEJEyCqtFba5deYf9GYGNYIxJHWWupqG8iIzXR6VBEJEy0lKBcot7jw93s10LgIjFESwnKJcprmwCU6EViiHr0comK+kCiT1fpRiRmqEcvlyir9QDq0YvEEt3fLpcorwv06DP7KdGLxApHV3zWnbE9T0VdoEc/KEWlG4mc5uZmSkpKcLvdTocSFZKTk8nKyiIhIaFL73c00VtrNwAbcnNzH3YyDrmovK6JAX0TSNBkZhJBJSUl9OvXj9GjR2OMbsy7GmstFRUVlJSUkJ2d3aU29Ncslyiva1J9XiLO7XaTnp6uJB8EYwzp6ekhffpRopdLBBK9yjYSeUrywQv1Z6XhlXKJijoP6erRi8QUDa+US5TVNZGpRC+9gMvlYvr06Vx33XXMnDmTjz76qMP3pKamdnjMQw89xOeffx6OEMPG0Yux0rO4m33Uur0q3Uiv0KdPH/bu3QvA22+/zZNPPsnWrVtDbveFF14IuY1wU41eWp2vDwytVOlGepuamhoGDhzYuv3zn/+cWbNmce211/LUU0/9r+P9fj+PPvooU6ZMYdGiRSxcuJBXX30VgLlz57Jr1y7g0k8Ar776Kg888AAADzzwAN/61reYN28eY8aMYevWrSxfvpxJkya1HhNO6tFLqws3S2nUjXSnH204xOena8La5uRhaTy1eMpVj2lsbGT69Om43W7OnDnDli1bANi8eTP5+fns2LEDay13330327Zt49Zbb2197+uvv87x48c5cOAApaWlTJo0ieXLl3cqxsrKSrZs2cL69etZvHgxH374IS+88AKzZs1i7969TJ8+vfPf+BXoYqy0upjoVbqR2HehdHP48GE2bdrEsmXLsNayefNmNm/ezIwZM5g5cyaHDx8mPz//kvd+8MEH3HfffcTFxTF06FDmzZvX6fMvXrwYYwzTpk1jyJAhTJs2jbi4OKZMmcLx48fD9F0G6IYpaVWueW7EAR31vLvDnDlzKC8vp6ysDGstTz75JI888sgVj7fWBtVu22GRl4+DT0oK/J3FxcW1Pr+w7fV6OxN+h1Sjl1bl9SrdSO90+PBhfD4f6enp3HnnnaxevZq6ujoATp06RWlp6SXH33zzzbz22mv4/X7OnTvH+++/3267Q4YMIS8vD7/fzxtvvBHpb+OKVKOXVuW1HlISXfRJdDkdikjEXajRQ6CH/uKLL+JyuZg/fz55eXnMmTMHCFxQfemllxg8eHDre7/yla/w7rvvMnXqVMaPH88NN9xAe8PEn376aRYtWsSIESOYOnVq638e3c0E+xEkknJzc+2Fq9TinL9bu4d9JVVs/V7n640inZGXl8ekSZOcDiMkdXV1pKamUlFRwezZs/nwww8ZOnRoxM7X3s/MGLPbWpvb0XvVo5dWFfVNpGvWSpGgLFq0iKqqKjweDz/84Q8jmuRDpUQvrcprPYxK7+t0GCJR4Up1+Z5IwysFCNQoT1c3MiQt2elQRCTMNNeNAHCm2k2t28v4of2cDkVEwkzDKwWAI2drAZioRC8Sc5ToBYC8s4Fb0McPUaIXiTVK9AIEevTDB/Shf5+urUkpEm02bdrEhAkTyMnJ4emnn3Y6nIhSohcADp+pZYLKNtJL+Hw+vv3tb/PWW2+9mbncAAADSElEQVTx+eefs3bt2h43h3w4KdELHq+fwrI61eel19ixYwc5OTmMGTOGxMRElixZwptvvul0WBGjcfRCYVkdXr9Vj16c8dYTcPZAeNscOg3uunI55tSpU4wYMaJ1Oysri08//TS8MfQg6tFLmxE3aQ5HItI92pv6JZYXKw97j94YkwL8EvAA71trfxfuc0h4HT5bS4LLMCYzxelQpDe6Ss87UrKysiguLm7dLikpYdiwYd0eR3cJqkdvjFltjCk1xhy8bP8CY8wRY0yBMeaJlt33Aq9aax8G7g5zvBIBh8/WMDYzlQSXPuBJ7zBr1izy8/M5duwYHo+HdevWcffdsZuugu3RrwGeBf77wg5jjAt4DrgDKAF2GmPWA1nAhYKbL2yR9gAVdU18UnTe6TDC7uCpGm4Zl+F0GCLdJj4+nmeffZY777wTn8/H8uXLmTLF+QVQIiWoRG+t3WaMGX3Z7tlAgbW2CMAYsw64h0DSzwL2cpVPDMaYFcAKgJEjR3Y2bkf84p2jvPTJSafDiIjpIwY4HYJIt1q4cCELFy50OoxuEUqNfjhQ3Ga7BLgBeAZ41hjzZWDDld5srV0FrILAfPQhxNFt3M1+Mvsl8buHbnA6lLCKM4YxGarPi8SqUBJ9e5eorbW2HvhGUA0YsxhYnJOTE0IY3SvRFadpAkQkqoRy9a0EGNFmOws43ZkGNHulSO/VE1a3ixah/qxCSfQ7gXHGmGxjTCKwBFjfmQY0H71I75ScnExFRYWSfRCstVRUVJCc3PW1IoIq3Rhj1gJzgQxjTAnwlLX2v4wxK4G3ARew2lp7qDMnt9ZuADbk5uY+3LmwRSSaZWVlUVJSQllZmdOhRIXk5GSysrK6/P5gR90svcL+jcDGLp9dRHqlhIQEsrOznQ6j19BSgiIiMU5LCYqIxDj16EVEYpzpCVe9jTFlwIkuvj0DKA9jOJGkWCNDsUZGtMQaLXFC+GMdZa3N7OigHpHoQ2GM2WWtzXU6jmAo1shQrJERLbFGS5zgXKyarlBEJMYp0YuIxLhYSPSrnA6gExRrZCjWyIiWWKMlTnAo1qiv0YuIyNXFQo9eRESuQoleRCTGKdGLiMQ4JXoRkRinRC8iEuP+P3DadusnuC6+AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pd.concat([Belgique,SommeChine],axis=1).plot(logy=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "La suite c est pas encore important" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "df=pd.concat([Belgique],axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plt.figure();\n", + "\n", + "Belgique.plot(label='dates').set(y_label(\"nombredemalades\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure();\n", + "\n", + "Belgique.plot(style='k--', label='Series');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a=pd.concat([Belgique,France,Allemagne,Iran,Italie,Japon,Hollande,Portugal,Espagne,RoyaumeUnis,CoreeduSud,EtatsUnis],axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a.plot().set_xlabel('dates')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "axes = pyplot.gca()\n", + "axes.set_xlabel('axe des x')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv\",index_col=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df=df.drop(columns=['Lat','Long'])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Belgique1=df.loc[['Belgium'],:]\n", + "Chine1=df.loc[['China'],:]\n", + "France1=df.loc[['France'],:]\n", + "Allemagne1=df.loc[['Germany'],:]\n", + "Iran1=df.loc[['Iran'],:]\n", + "Italie1=df.loc[['Italy'],:]\n", + "Japon1=df.loc[['Japan'],:]\n", + "Hollande_et_colonies1=df.loc[['Netherlands'],:]\n", + "Portugal1=df.loc[['Portugal'],:]\n", + "Espagne1=df.loc[['Spain'],:]\n", + "RoyaumeUni_et_colonies1=df.loc[['United Kingdom'],:]\n", + "CoréeduSud1=df.loc[['Korea, South'],:]\n", + "EtatsUnis1=df.loc[['US'],:]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "France1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "France_metropolitaine=France1[France1.isnull().any(axis=1)]\n", + "RoyaumeUnis=RoyaumeUni_et_colonies1[RoyaumeUni_et_colonies1.isnull().any(axis=1)]\n", + "Hollande=Hollande_et_colonies1[Hollande_et_colonies1.isnull().any(axis=1)]\n", + "HongKong1=Chine1.iloc[[12],:]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "France1=France1.T" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "F=France1.groupby(level=0, axis=1).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "hide_code_all_hidden": false, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/module3/exo3/SARS-COV2.ipynb b/module3/exo3/SARS-COV2.ipynb index a1b5969..8f15f10 100644 --- a/module3/exo3/SARS-COV2.ipynb +++ b/module3/exo3/SARS-COV2.ipynb @@ -23,6 +23,13 @@ "importation des modules" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Première partie" + ] + }, { "cell_type": "code", "execution_count": 2, @@ -72,7 +79,6 @@ " 1/27/20\n", " 1/28/20\n", " ...\n", - " 6/3/20\n", " 6/4/20\n", " 6/5/20\n", " 6/6/20\n", @@ -82,6 +88,7 @@ " 6/10/20\n", " 6/11/20\n", " 6/12/20\n", + " 6/13/20\n", " \n", " \n", " Country/Region\n", @@ -122,7 +129,6 @@ " 0\n", " 0\n", " ...\n", - " 17267\n", " 18054\n", " 18969\n", " 19551\n", @@ -132,6 +138,7 @@ " 22142\n", " 22890\n", " 23546\n", + " 24102\n", " \n", " \n", " Albania\n", @@ -146,7 +153,6 @@ " 0\n", " 0\n", " ...\n", - " 1184\n", " 1197\n", " 1212\n", " 1232\n", @@ -156,6 +162,7 @@ " 1341\n", " 1385\n", " 1416\n", + " 1464\n", " \n", " \n", " Algeria\n", @@ -170,7 +177,6 @@ " 0\n", " 0\n", " ...\n", - " 9733\n", " 9831\n", " 9935\n", " 10050\n", @@ -180,6 +186,7 @@ " 10484\n", " 10589\n", " 10698\n", + " 10810\n", " \n", " \n", " Andorra\n", @@ -194,7 +201,6 @@ " 0\n", " 0\n", " ...\n", - " 851\n", " 852\n", " 852\n", " 852\n", @@ -204,6 +210,7 @@ " 852\n", " 852\n", " 853\n", + " 853\n", " \n", " \n", " Angola\n", @@ -220,7 +227,6 @@ " ...\n", " 86\n", " 86\n", - " 86\n", " 88\n", " 91\n", " 92\n", @@ -228,6 +234,7 @@ " 113\n", " 118\n", " 130\n", + " 138\n", " \n", " \n", " Antigua and Barbuda\n", @@ -266,7 +273,6 @@ " 0\n", " 0\n", " ...\n", - " 19268\n", " 20197\n", " 21037\n", " 22020\n", @@ -276,6 +282,7 @@ " 25987\n", " 27373\n", " 28764\n", + " 30295\n", " \n", " \n", " Armenia\n", @@ -290,7 +297,6 @@ " 0\n", " 0\n", " ...\n", - " 10524\n", " 11221\n", " 11817\n", " 12364\n", @@ -300,6 +306,7 @@ " 14103\n", " 14669\n", " 15281\n", + " 16004\n", " \n", " \n", " Australia\n", @@ -316,7 +323,7 @@ " ...\n", " 107\n", " 107\n", - " 107\n", + " 108\n", " 108\n", " 108\n", " 108\n", @@ -338,7 +345,6 @@ " 4\n", " 4\n", " ...\n", - " 3106\n", " 3110\n", " 3110\n", " 3109\n", @@ -348,6 +354,7 @@ " 3117\n", " 3115\n", " 3119\n", + " 3128\n", " \n", " \n", " Australia\n", @@ -387,7 +394,6 @@ " 0\n", " ...\n", " 1060\n", - " 1060\n", " 1061\n", " 1061\n", " 1062\n", @@ -396,6 +402,7 @@ " 1063\n", " 1064\n", " 1065\n", + " 1065\n", " \n", " \n", " Australia\n", @@ -458,7 +465,6 @@ " 1\n", " 1\n", " ...\n", - " 1678\n", " 1681\n", " 1681\n", " 1685\n", @@ -468,6 +474,7 @@ " 1699\n", " 1703\n", " 1703\n", + " 1720\n", " \n", " \n", " Australia\n", @@ -483,7 +490,6 @@ " 0\n", " ...\n", " 592\n", - " 592\n", " 596\n", " 599\n", " 599\n", @@ -492,6 +498,7 @@ " 601\n", " 602\n", " 602\n", + " 602\n", " \n", " \n", " Austria\n", @@ -506,7 +513,6 @@ " 0\n", " 0\n", " ...\n", - " 16771\n", " 16805\n", " 16843\n", " 16898\n", @@ -516,6 +522,7 @@ " 17005\n", " 17034\n", " 17064\n", + " 17078\n", " \n", " \n", " Azerbaijan\n", @@ -530,7 +537,6 @@ " 0\n", " 0\n", " ...\n", - " 6260\n", " 6522\n", " 6860\n", " 7239\n", @@ -540,6 +546,7 @@ " 8530\n", " 8882\n", " 9218\n", + " 9570\n", " \n", " \n", " Bahamas\n", @@ -556,7 +563,7 @@ " ...\n", " 102\n", " 102\n", - " 102\n", + " 103\n", " 103\n", " 103\n", " 103\n", @@ -578,7 +585,6 @@ " 0\n", " 0\n", " ...\n", - " 12815\n", " 13296\n", " 13835\n", " 14383\n", @@ -588,6 +594,7 @@ " 16200\n", " 16667\n", " 17269\n", + " 17713\n", " \n", " \n", " Bangladesh\n", @@ -602,7 +609,6 @@ " 0\n", " 0\n", " ...\n", - " 55140\n", " 57563\n", " 60391\n", " 63026\n", @@ -612,6 +618,7 @@ " 74865\n", " 78052\n", " 81523\n", + " 84379\n", " \n", " \n", " Barbados\n", @@ -632,7 +639,7 @@ " 92\n", " 92\n", " 92\n", - " 92\n", + " 96\n", " 96\n", " 96\n", " 96\n", @@ -650,7 +657,6 @@ " 0\n", " 0\n", " ...\n", - " 45116\n", " 45981\n", " 46868\n", " 47751\n", @@ -660,6 +666,7 @@ " 51066\n", " 51816\n", " 52520\n", + " 53241\n", " \n", " \n", " Belgium\n", @@ -674,7 +681,6 @@ " 0\n", " 0\n", " ...\n", - " 58685\n", " 58767\n", " 58907\n", " 59072\n", @@ -684,6 +690,7 @@ " 59569\n", " 59711\n", " 59819\n", + " 59918\n", " \n", " \n", " Benin\n", @@ -698,7 +705,6 @@ " 0\n", " 0\n", " ...\n", - " 244\n", " 261\n", " 261\n", " 261\n", @@ -708,6 +714,7 @@ " 305\n", " 305\n", " 388\n", + " 412\n", " \n", " \n", " Bhutan\n", @@ -723,7 +730,6 @@ " 0\n", " ...\n", " 47\n", - " 47\n", " 48\n", " 48\n", " 59\n", @@ -732,6 +738,7 @@ " 59\n", " 62\n", " 62\n", + " 66\n", " \n", " \n", " Bolivia\n", @@ -746,7 +753,6 @@ " 0\n", " 0\n", " ...\n", - " 11638\n", " 12245\n", " 12728\n", " 13358\n", @@ -756,6 +762,7 @@ " 15281\n", " 16165\n", " 16929\n", + " 17842\n", " \n", " \n", " Bosnia and Herzegovina\n", @@ -770,7 +777,6 @@ " 0\n", " 0\n", " ...\n", - " 2551\n", " 2594\n", " 2606\n", " 2606\n", @@ -780,6 +786,7 @@ " 2775\n", " 2832\n", " 2893\n", + " 2893\n", " \n", " \n", " Brazil\n", @@ -794,7 +801,6 @@ " 0\n", " 0\n", " ...\n", - " 584016\n", " 614941\n", " 645771\n", " 672846\n", @@ -804,6 +810,7 @@ " 772416\n", " 802828\n", " 828810\n", + " 850514\n", " \n", " \n", " Brunei\n", @@ -891,7 +898,6 @@ " 0\n", " ...\n", " 18\n", - " 18\n", " 19\n", " 19\n", " 19\n", @@ -900,6 +906,7 @@ " 20\n", " 20\n", " 20\n", + " 20\n", " \n", " \n", " Laos\n", @@ -938,7 +945,6 @@ " 0\n", " 0\n", " ...\n", - " 196\n", " 209\n", " 239\n", " 256\n", @@ -948,6 +954,7 @@ " 378\n", " 393\n", " 409\n", + " 418\n", " \n", " \n", " West Bank and Gaza\n", @@ -962,7 +969,6 @@ " 0\n", " 0\n", " ...\n", - " 457\n", " 464\n", " 464\n", " 464\n", @@ -972,6 +978,7 @@ " 485\n", " 487\n", " 489\n", + " 489\n", " \n", " \n", " Guinea-Bissau\n", @@ -987,7 +994,6 @@ " 0\n", " ...\n", " 1339\n", - " 1339\n", " 1368\n", " 1368\n", " 1368\n", @@ -996,6 +1002,7 @@ " 1389\n", " 1389\n", " 1460\n", + " 1460\n", " \n", " \n", " Mali\n", @@ -1010,7 +1017,6 @@ " 0\n", " 0\n", " ...\n", - " 1386\n", " 1461\n", " 1485\n", " 1523\n", @@ -1020,6 +1026,7 @@ " 1667\n", " 1722\n", " 1752\n", + " 1776\n", " \n", " \n", " Saint Kitts and Nevis\n", @@ -1110,12 +1117,12 @@ " 1142\n", " 1142\n", " 1142\n", - " 1142\n", " 1263\n", " 1263\n", " 1298\n", " 1326\n", " 1326\n", + " 1437\n", " \n", " \n", " Burma\n", @@ -1130,7 +1137,6 @@ " 0\n", " 0\n", " ...\n", - " 233\n", " 236\n", " 236\n", " 240\n", @@ -1140,6 +1146,7 @@ " 248\n", " 260\n", " 261\n", + " 261\n", " \n", " \n", " United Kingdom\n", @@ -1254,12 +1261,12 @@ " 40\n", " 40\n", " 40\n", - " 40\n", " 42\n", " 42\n", " 48\n", " 48\n", " 48\n", + " 60\n", " \n", " \n", " Burundi\n", @@ -1276,7 +1283,6 @@ " ...\n", " 63\n", " 63\n", - " 63\n", " 83\n", " 83\n", " 83\n", @@ -1284,6 +1290,7 @@ " 83\n", " 85\n", " 85\n", + " 85\n", " \n", " \n", " Sierra Leone\n", @@ -1298,7 +1305,6 @@ " 0\n", " 0\n", " ...\n", - " 909\n", " 914\n", " 929\n", " 946\n", @@ -1308,6 +1314,7 @@ " 1062\n", " 1085\n", " 1103\n", + " 1132\n", " \n", " \n", " Netherlands\n", @@ -1346,7 +1353,6 @@ " 0\n", " 0\n", " ...\n", - " 369\n", " 393\n", " 409\n", " 409\n", @@ -1356,6 +1362,7 @@ " 455\n", " 481\n", " 481\n", + " 529\n", " \n", " \n", " United Kingdom\n", @@ -1421,13 +1428,13 @@ " 994\n", " 994\n", " 994\n", - " 994\n", " 1317\n", " 1604\n", " 1604\n", " 1604\n", " 1670\n", " 1670\n", + " 1693\n", " \n", " \n", " Western Sahara\n", @@ -1466,7 +1473,6 @@ " 0\n", " 0\n", " ...\n", - " 484\n", " 485\n", " 499\n", " 499\n", @@ -1476,6 +1482,7 @@ " 611\n", " 632\n", " 639\n", + " 659\n", " \n", " \n", " Yemen\n", @@ -1490,7 +1497,6 @@ " 0\n", " 0\n", " ...\n", - " 419\n", " 453\n", " 469\n", " 482\n", @@ -1500,6 +1506,7 @@ " 560\n", " 591\n", " 632\n", + " 705\n", " \n", " \n", " Comoros\n", @@ -1516,7 +1523,6 @@ " ...\n", " 132\n", " 132\n", - " 132\n", " 141\n", " 141\n", " 141\n", @@ -1524,6 +1530,7 @@ " 162\n", " 162\n", " 163\n", + " 176\n", " \n", " \n", " Tajikistan\n", @@ -1538,7 +1545,6 @@ " 0\n", " 0\n", " ...\n", - " 4191\n", " 4289\n", " 4370\n", " 4453\n", @@ -1548,6 +1554,7 @@ " 4763\n", " 4834\n", " 4902\n", + " 4971\n", " \n", " \n", " Lesotho\n", @@ -1575,7 +1582,7 @@ " \n", " \n", "\n", - "

266 rows × 146 columns

\n", + "

266 rows × 147 columns

\n", "" ], "text/plain": [ @@ -1707,199 +1714,199 @@ "Tajikistan 71.276093 0 0 0 0 \n", "Lesotho 28.233608 0 0 0 0 \n", "\n", - " 1/26/20 1/27/20 1/28/20 ... 6/3/20 6/4/20 \\\n", + " 1/26/20 1/27/20 1/28/20 ... 6/4/20 6/5/20 \\\n", "Country/Region ... \n", - "Afghanistan 0 0 0 ... 17267 18054 \n", - "Albania 0 0 0 ... 1184 1197 \n", - "Algeria 0 0 0 ... 9733 9831 \n", - "Andorra 0 0 0 ... 851 852 \n", + "Afghanistan 0 0 0 ... 18054 18969 \n", + "Albania 0 0 0 ... 1197 1212 \n", + "Algeria 0 0 0 ... 9831 9935 \n", + "Andorra 0 0 0 ... 852 852 \n", "Angola 0 0 0 ... 86 86 \n", "Antigua and Barbuda 0 0 0 ... 26 26 \n", - "Argentina 0 0 0 ... 19268 20197 \n", - "Armenia 0 0 0 ... 10524 11221 \n", + "Argentina 0 0 0 ... 20197 21037 \n", + "Armenia 0 0 0 ... 11221 11817 \n", "Australia 0 0 0 ... 107 107 \n", - "Australia 3 4 4 ... 3106 3110 \n", + "Australia 3 4 4 ... 3110 3110 \n", "Australia 0 0 0 ... 29 29 \n", - "Australia 0 0 0 ... 1060 1060 \n", + "Australia 0 0 0 ... 1060 1061 \n", "Australia 0 0 0 ... 440 440 \n", "Australia 0 0 0 ... 228 228 \n", - "Australia 1 1 1 ... 1678 1681 \n", - "Australia 0 0 0 ... 592 592 \n", - "Austria 0 0 0 ... 16771 16805 \n", - "Azerbaijan 0 0 0 ... 6260 6522 \n", + "Australia 1 1 1 ... 1681 1681 \n", + "Australia 0 0 0 ... 592 596 \n", + "Austria 0 0 0 ... 16805 16843 \n", + "Azerbaijan 0 0 0 ... 6522 6860 \n", "Bahamas 0 0 0 ... 102 102 \n", - "Bahrain 0 0 0 ... 12815 13296 \n", - "Bangladesh 0 0 0 ... 55140 57563 \n", + "Bahrain 0 0 0 ... 13296 13835 \n", + "Bangladesh 0 0 0 ... 57563 60391 \n", "Barbados 0 0 0 ... 92 92 \n", - "Belarus 0 0 0 ... 45116 45981 \n", - "Belgium 0 0 0 ... 58685 58767 \n", - "Benin 0 0 0 ... 244 261 \n", - "Bhutan 0 0 0 ... 47 47 \n", - "Bolivia 0 0 0 ... 11638 12245 \n", - "Bosnia and Herzegovina 0 0 0 ... 2551 2594 \n", - "Brazil 0 0 0 ... 584016 614941 \n", + "Belarus 0 0 0 ... 45981 46868 \n", + "Belgium 0 0 0 ... 58767 58907 \n", + "Benin 0 0 0 ... 261 261 \n", + "Bhutan 0 0 0 ... 47 48 \n", + "Bolivia 0 0 0 ... 12245 12728 \n", + "Bosnia and Herzegovina 0 0 0 ... 2594 2606 \n", + "Brazil 0 0 0 ... 614941 645771 \n", "Brunei 0 0 0 ... 141 141 \n", "... ... ... ... ... ... ... \n", "Timor-Leste 0 0 0 ... 24 24 \n", - "Belize 0 0 0 ... 18 18 \n", + "Belize 0 0 0 ... 18 19 \n", "Laos 0 0 0 ... 19 19 \n", - "Libya 0 0 0 ... 196 209 \n", - "West Bank and Gaza 0 0 0 ... 457 464 \n", - "Guinea-Bissau 0 0 0 ... 1339 1339 \n", - "Mali 0 0 0 ... 1386 1461 \n", + "Libya 0 0 0 ... 209 239 \n", + "West Bank and Gaza 0 0 0 ... 464 464 \n", + "Guinea-Bissau 0 0 0 ... 1339 1368 \n", + "Mali 0 0 0 ... 1461 1485 \n", "Saint Kitts and Nevis 0 0 0 ... 15 15 \n", "Canada 0 0 0 ... 5 5 \n", "Canada 0 0 0 ... 11 11 \n", "Kosovo 0 0 0 ... 1142 1142 \n", - "Burma 0 0 0 ... 233 236 \n", + "Burma 0 0 0 ... 236 236 \n", "United Kingdom 0 0 0 ... 3 3 \n", "United Kingdom 0 0 0 ... 8 8 \n", "United Kingdom 0 0 0 ... 12 12 \n", "MS Zaandam 0 0 0 ... 9 9 \n", "Botswana 0 0 0 ... 40 40 \n", "Burundi 0 0 0 ... 63 63 \n", - "Sierra Leone 0 0 0 ... 909 914 \n", + "Sierra Leone 0 0 0 ... 914 929 \n", "Netherlands 0 0 0 ... 7 7 \n", - "Malawi 0 0 0 ... 369 393 \n", + "Malawi 0 0 0 ... 393 409 \n", "United Kingdom 0 0 0 ... 13 13 \n", "France 0 0 0 ... 1 1 \n", "South Sudan 0 0 0 ... 994 994 \n", "Western Sahara 0 0 0 ... 9 9 \n", - "Sao Tome and Principe 0 0 0 ... 484 485 \n", - "Yemen 0 0 0 ... 419 453 \n", + "Sao Tome and Principe 0 0 0 ... 485 499 \n", + "Yemen 0 0 0 ... 453 469 \n", "Comoros 0 0 0 ... 132 132 \n", - "Tajikistan 0 0 0 ... 4191 4289 \n", + "Tajikistan 0 0 0 ... 4289 4370 \n", "Lesotho 0 0 0 ... 4 4 \n", "\n", - " 6/5/20 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 \\\n", - "Country/Region \n", - "Afghanistan 18969 19551 20342 20917 21459 22142 \n", - "Albania 1212 1232 1246 1263 1299 1341 \n", - "Algeria 9935 10050 10154 10265 10382 10484 \n", - "Andorra 852 852 852 852 852 852 \n", - "Angola 86 88 91 92 96 113 \n", - "Antigua and Barbuda 26 26 26 26 26 26 \n", - "Argentina 21037 22020 22794 23620 24761 25987 \n", - "Armenia 11817 12364 13130 13325 13675 14103 \n", - "Australia 107 108 108 108 108 108 \n", - "Australia 3110 3109 3112 3114 3117 3117 \n", - "Australia 29 29 29 29 29 29 \n", - "Australia 1061 1061 1062 1062 1062 1063 \n", - "Australia 440 440 440 440 440 440 \n", - "Australia 228 228 228 228 228 228 \n", - "Australia 1681 1685 1687 1687 1691 1699 \n", - "Australia 596 599 599 599 599 601 \n", - "Austria 16843 16898 16902 16968 16979 17005 \n", - "Azerbaijan 6860 7239 7553 7876 8191 8530 \n", - "Bahamas 102 103 103 103 103 103 \n", - "Bahrain 13835 14383 14763 15417 15731 16200 \n", - "Bangladesh 60391 63026 65769 68504 71675 74865 \n", - "Barbados 92 92 92 92 92 96 \n", - "Belarus 46868 47751 48630 49453 50265 51066 \n", - "Belgium 58907 59072 59226 59348 59437 59569 \n", - "Benin 261 261 261 288 305 305 \n", - "Bhutan 48 48 59 59 59 59 \n", - "Bolivia 12728 13358 13643 13949 14644 15281 \n", - "Bosnia and Herzegovina 2606 2606 2606 2704 2728 2775 \n", - "Brazil 645771 672846 691758 707412 739503 772416 \n", - "Brunei 141 141 141 141 141 141 \n", - "... ... ... ... ... ... ... \n", - "Timor-Leste 24 24 24 24 24 24 \n", - "Belize 19 19 19 19 20 20 \n", - "Laos 19 19 19 19 19 19 \n", - "Libya 239 256 256 332 359 378 \n", - "West Bank and Gaza 464 464 472 473 481 485 \n", - "Guinea-Bissau 1368 1368 1368 1389 1389 1389 \n", - "Mali 1485 1523 1533 1547 1586 1667 \n", - "Saint Kitts and Nevis 15 15 15 15 15 15 \n", - "Canada 5 5 5 5 5 5 \n", - "Canada 11 11 11 11 11 11 \n", - "Kosovo 1142 1142 1142 1263 1263 1298 \n", - "Burma 236 240 242 244 246 248 \n", - "United Kingdom 3 3 3 3 3 3 \n", - "United Kingdom 8 8 8 8 8 8 \n", - "United Kingdom 12 12 12 12 12 12 \n", - "MS Zaandam 9 9 9 9 9 9 \n", - "Botswana 40 40 40 42 42 48 \n", - "Burundi 63 83 83 83 83 83 \n", - "Sierra Leone 929 946 969 1001 1025 1062 \n", - "Netherlands 7 7 7 7 7 7 \n", - "Malawi 409 409 438 443 455 455 \n", - "United Kingdom 13 13 13 13 13 13 \n", - "France 1 1 1 1 1 1 \n", - "South Sudan 994 994 1317 1604 1604 1604 \n", - "Western Sahara 9 9 9 9 9 9 \n", - "Sao Tome and Principe 499 499 513 513 514 611 \n", - "Yemen 469 482 484 496 524 560 \n", - "Comoros 132 141 141 141 141 162 \n", - "Tajikistan 4370 4453 4529 4609 4690 4763 \n", - "Lesotho 4 4 4 4 4 4 \n", + " 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 \\\n", + "Country/Region \n", + "Afghanistan 19551 20342 20917 21459 22142 22890 \n", + "Albania 1232 1246 1263 1299 1341 1385 \n", + "Algeria 10050 10154 10265 10382 10484 10589 \n", + "Andorra 852 852 852 852 852 852 \n", + "Angola 88 91 92 96 113 118 \n", + "Antigua and Barbuda 26 26 26 26 26 26 \n", + "Argentina 22020 22794 23620 24761 25987 27373 \n", + "Armenia 12364 13130 13325 13675 14103 14669 \n", + "Australia 108 108 108 108 108 108 \n", + "Australia 3109 3112 3114 3117 3117 3115 \n", + "Australia 29 29 29 29 29 29 \n", + "Australia 1061 1062 1062 1062 1063 1064 \n", + "Australia 440 440 440 440 440 440 \n", + "Australia 228 228 228 228 228 228 \n", + "Australia 1685 1687 1687 1691 1699 1703 \n", + "Australia 599 599 599 599 601 602 \n", + "Austria 16898 16902 16968 16979 17005 17034 \n", + "Azerbaijan 7239 7553 7876 8191 8530 8882 \n", + "Bahamas 103 103 103 103 103 103 \n", + "Bahrain 14383 14763 15417 15731 16200 16667 \n", + "Bangladesh 63026 65769 68504 71675 74865 78052 \n", + "Barbados 92 92 92 92 96 96 \n", + "Belarus 47751 48630 49453 50265 51066 51816 \n", + "Belgium 59072 59226 59348 59437 59569 59711 \n", + "Benin 261 261 288 305 305 305 \n", + "Bhutan 48 59 59 59 59 62 \n", + "Bolivia 13358 13643 13949 14644 15281 16165 \n", + "Bosnia and Herzegovina 2606 2606 2704 2728 2775 2832 \n", + "Brazil 672846 691758 707412 739503 772416 802828 \n", + "Brunei 141 141 141 141 141 141 \n", + "... ... ... ... ... ... ... \n", + "Timor-Leste 24 24 24 24 24 24 \n", + "Belize 19 19 19 20 20 20 \n", + "Laos 19 19 19 19 19 19 \n", + "Libya 256 256 332 359 378 393 \n", + "West Bank and Gaza 464 472 473 481 485 487 \n", + "Guinea-Bissau 1368 1368 1389 1389 1389 1389 \n", + "Mali 1523 1533 1547 1586 1667 1722 \n", + "Saint Kitts and Nevis 15 15 15 15 15 15 \n", + "Canada 5 5 5 5 5 5 \n", + "Canada 11 11 11 11 11 11 \n", + "Kosovo 1142 1142 1263 1263 1298 1326 \n", + "Burma 240 242 244 246 248 260 \n", + "United Kingdom 3 3 3 3 3 3 \n", + "United Kingdom 8 8 8 8 8 8 \n", + "United Kingdom 12 12 12 12 12 12 \n", + "MS Zaandam 9 9 9 9 9 9 \n", + "Botswana 40 40 42 42 48 48 \n", + "Burundi 83 83 83 83 83 85 \n", + "Sierra Leone 946 969 1001 1025 1062 1085 \n", + "Netherlands 7 7 7 7 7 7 \n", + "Malawi 409 438 443 455 455 481 \n", + "United Kingdom 13 13 13 13 13 13 \n", + "France 1 1 1 1 1 1 \n", + "South Sudan 994 1317 1604 1604 1604 1670 \n", + "Western Sahara 9 9 9 9 9 9 \n", + "Sao Tome and Principe 499 513 513 514 611 632 \n", + "Yemen 482 484 496 524 560 591 \n", + "Comoros 141 141 141 141 162 162 \n", + "Tajikistan 4453 4529 4609 4690 4763 4834 \n", + "Lesotho 4 4 4 4 4 4 \n", "\n", - " 6/11/20 6/12/20 \n", + " 6/12/20 6/13/20 \n", "Country/Region \n", - "Afghanistan 22890 23546 \n", - "Albania 1385 1416 \n", - "Algeria 10589 10698 \n", - "Andorra 852 853 \n", - "Angola 118 130 \n", + "Afghanistan 23546 24102 \n", + "Albania 1416 1464 \n", + "Algeria 10698 10810 \n", + "Andorra 853 853 \n", + "Angola 130 138 \n", "Antigua and Barbuda 26 26 \n", - "Argentina 27373 28764 \n", - "Armenia 14669 15281 \n", + "Argentina 28764 30295 \n", + "Armenia 15281 16004 \n", "Australia 108 108 \n", - "Australia 3115 3119 \n", + "Australia 3119 3128 \n", "Australia 29 29 \n", - "Australia 1064 1065 \n", + "Australia 1065 1065 \n", "Australia 440 440 \n", "Australia 228 228 \n", - "Australia 1703 1703 \n", + "Australia 1703 1720 \n", "Australia 602 602 \n", - "Austria 17034 17064 \n", - "Azerbaijan 8882 9218 \n", + "Austria 17064 17078 \n", + "Azerbaijan 9218 9570 \n", "Bahamas 103 103 \n", - "Bahrain 16667 17269 \n", - "Bangladesh 78052 81523 \n", + "Bahrain 17269 17713 \n", + "Bangladesh 81523 84379 \n", "Barbados 96 96 \n", - "Belarus 51816 52520 \n", - "Belgium 59711 59819 \n", - "Benin 305 388 \n", - "Bhutan 62 62 \n", - "Bolivia 16165 16929 \n", - "Bosnia and Herzegovina 2832 2893 \n", - "Brazil 802828 828810 \n", + "Belarus 52520 53241 \n", + "Belgium 59819 59918 \n", + "Benin 388 412 \n", + "Bhutan 62 66 \n", + "Bolivia 16929 17842 \n", + "Bosnia and Herzegovina 2893 2893 \n", + "Brazil 828810 850514 \n", "Brunei 141 141 \n", "... ... ... \n", "Timor-Leste 24 24 \n", "Belize 20 20 \n", "Laos 19 19 \n", - "Libya 393 409 \n", - "West Bank and Gaza 487 489 \n", - "Guinea-Bissau 1389 1460 \n", - "Mali 1722 1752 \n", + "Libya 409 418 \n", + "West Bank and Gaza 489 489 \n", + "Guinea-Bissau 1460 1460 \n", + "Mali 1752 1776 \n", "Saint Kitts and Nevis 15 15 \n", "Canada 5 5 \n", "Canada 11 11 \n", - "Kosovo 1326 1326 \n", - "Burma 260 261 \n", + "Kosovo 1326 1437 \n", + "Burma 261 261 \n", "United Kingdom 3 3 \n", "United Kingdom 8 8 \n", "United Kingdom 12 12 \n", "MS Zaandam 9 9 \n", - "Botswana 48 48 \n", + "Botswana 48 60 \n", "Burundi 85 85 \n", - "Sierra Leone 1085 1103 \n", + "Sierra Leone 1103 1132 \n", "Netherlands 7 7 \n", - "Malawi 481 481 \n", + "Malawi 481 529 \n", "United Kingdom 13 13 \n", "France 1 1 \n", - "South Sudan 1670 1670 \n", + "South Sudan 1670 1693 \n", "Western Sahara 9 9 \n", - "Sao Tome and Principe 632 639 \n", - "Yemen 591 632 \n", - "Comoros 162 163 \n", - "Tajikistan 4834 4902 \n", + "Sao Tome and Principe 639 659 \n", + "Yemen 632 705 \n", + "Comoros 163 176 \n", + "Tajikistan 4902 4971 \n", "Lesotho 4 4 \n", "\n", - "[266 rows x 146 columns]" + "[266 rows x 147 columns]" ] }, "execution_count": 3, @@ -1974,7 +1981,6 @@ " 1/29/20\n", " 1/30/20\n", " ...\n", - " 6/3/20\n", " 6/4/20\n", " 6/5/20\n", " 6/6/20\n", @@ -1984,6 +1990,7 @@ " 6/10/20\n", " 6/11/20\n", " 6/12/20\n", + " 6/13/20\n", " \n", " \n", " Country/Region\n", @@ -2024,7 +2031,6 @@ " 0\n", " 0\n", " ...\n", - " 17267\n", " 18054\n", " 18969\n", " 19551\n", @@ -2034,6 +2040,7 @@ " 22142\n", " 22890\n", " 23546\n", + " 24102\n", " \n", " \n", " Albania\n", @@ -2048,7 +2055,6 @@ " 0\n", " 0\n", " ...\n", - " 1184\n", " 1197\n", " 1212\n", " 1232\n", @@ -2058,6 +2064,7 @@ " 1341\n", " 1385\n", " 1416\n", + " 1464\n", " \n", " \n", " Algeria\n", @@ -2072,7 +2079,6 @@ " 0\n", " 0\n", " ...\n", - " 9733\n", " 9831\n", " 9935\n", " 10050\n", @@ -2082,6 +2088,7 @@ " 10484\n", " 10589\n", " 10698\n", + " 10810\n", " \n", " \n", " Andorra\n", @@ -2096,7 +2103,6 @@ " 0\n", " 0\n", " ...\n", - " 851\n", " 852\n", " 852\n", " 852\n", @@ -2106,6 +2112,7 @@ " 852\n", " 852\n", " 853\n", + " 853\n", " \n", " \n", " Angola\n", @@ -2122,7 +2129,6 @@ " ...\n", " 86\n", " 86\n", - " 86\n", " 88\n", " 91\n", " 92\n", @@ -2130,6 +2136,7 @@ " 113\n", " 118\n", " 130\n", + " 138\n", " \n", " \n", " Antigua and Barbuda\n", @@ -2168,7 +2175,6 @@ " 0\n", " 0\n", " ...\n", - " 19268\n", " 20197\n", " 21037\n", " 22020\n", @@ -2178,6 +2184,7 @@ " 25987\n", " 27373\n", " 28764\n", + " 30295\n", " \n", " \n", " Armenia\n", @@ -2192,7 +2199,6 @@ " 0\n", " 0\n", " ...\n", - " 10524\n", " 11221\n", " 11817\n", " 12364\n", @@ -2202,6 +2208,7 @@ " 14103\n", " 14669\n", " 15281\n", + " 16004\n", " \n", " \n", " Australia\n", @@ -2218,7 +2225,7 @@ " ...\n", " 107\n", " 107\n", - " 107\n", + " 108\n", " 108\n", " 108\n", " 108\n", @@ -2240,7 +2247,6 @@ " 4\n", " 4\n", " ...\n", - " 3106\n", " 3110\n", " 3110\n", " 3109\n", @@ -2250,6 +2256,7 @@ " 3117\n", " 3115\n", " 3119\n", + " 3128\n", " \n", " \n", " Australia\n", @@ -2289,7 +2296,6 @@ " 3\n", " ...\n", " 1060\n", - " 1060\n", " 1061\n", " 1061\n", " 1062\n", @@ -2298,6 +2304,7 @@ " 1063\n", " 1064\n", " 1065\n", + " 1065\n", " \n", " \n", " Australia\n", @@ -2360,7 +2367,6 @@ " 1\n", " 2\n", " ...\n", - " 1678\n", " 1681\n", " 1681\n", " 1685\n", @@ -2370,6 +2376,7 @@ " 1699\n", " 1703\n", " 1703\n", + " 1720\n", " \n", " \n", " Australia\n", @@ -2385,7 +2392,6 @@ " 0\n", " ...\n", " 592\n", - " 592\n", " 596\n", " 599\n", " 599\n", @@ -2394,6 +2400,7 @@ " 601\n", " 602\n", " 602\n", + " 602\n", " \n", " \n", " Austria\n", @@ -2408,7 +2415,6 @@ " 0\n", " 0\n", " ...\n", - " 16771\n", " 16805\n", " 16843\n", " 16898\n", @@ -2418,6 +2424,7 @@ " 17005\n", " 17034\n", " 17064\n", + " 17078\n", " \n", " \n", " Azerbaijan\n", @@ -2432,7 +2439,6 @@ " 0\n", " 0\n", " ...\n", - " 6260\n", " 6522\n", " 6860\n", " 7239\n", @@ -2442,6 +2448,7 @@ " 8530\n", " 8882\n", " 9218\n", + " 9570\n", " \n", " \n", " Bahamas\n", @@ -2458,7 +2465,7 @@ " ...\n", " 102\n", " 102\n", - " 102\n", + " 103\n", " 103\n", " 103\n", " 103\n", @@ -2480,7 +2487,6 @@ " 0\n", " 0\n", " ...\n", - " 12815\n", " 13296\n", " 13835\n", " 14383\n", @@ -2490,6 +2496,7 @@ " 16200\n", " 16667\n", " 17269\n", + " 17713\n", " \n", " \n", " Bangladesh\n", @@ -2504,7 +2511,6 @@ " 0\n", " 0\n", " ...\n", - " 55140\n", " 57563\n", " 60391\n", " 63026\n", @@ -2514,6 +2520,7 @@ " 74865\n", " 78052\n", " 81523\n", + " 84379\n", " \n", " \n", " Barbados\n", @@ -2534,7 +2541,7 @@ " 92\n", " 92\n", " 92\n", - " 92\n", + " 96\n", " 96\n", " 96\n", " 96\n", @@ -2552,7 +2559,6 @@ " 0\n", " 0\n", " ...\n", - " 45116\n", " 45981\n", " 46868\n", " 47751\n", @@ -2562,6 +2568,7 @@ " 51066\n", " 51816\n", " 52520\n", + " 53241\n", " \n", " \n", " Belgium\n", @@ -2576,7 +2583,6 @@ " 0\n", " 0\n", " ...\n", - " 58685\n", " 58767\n", " 58907\n", " 59072\n", @@ -2586,6 +2592,7 @@ " 59569\n", " 59711\n", " 59819\n", + " 59918\n", " \n", " \n", " Benin\n", @@ -2600,7 +2607,6 @@ " 0\n", " 0\n", " ...\n", - " 244\n", " 261\n", " 261\n", " 261\n", @@ -2610,6 +2616,7 @@ " 305\n", " 305\n", " 388\n", + " 412\n", " \n", " \n", " Bhutan\n", @@ -2625,7 +2632,6 @@ " 0\n", " ...\n", " 47\n", - " 47\n", " 48\n", " 48\n", " 59\n", @@ -2634,6 +2640,7 @@ " 59\n", " 62\n", " 62\n", + " 66\n", " \n", " \n", " Bolivia\n", @@ -2648,7 +2655,6 @@ " 0\n", " 0\n", " ...\n", - " 11638\n", " 12245\n", " 12728\n", " 13358\n", @@ -2658,6 +2664,7 @@ " 15281\n", " 16165\n", " 16929\n", + " 17842\n", " \n", " \n", " Bosnia and Herzegovina\n", @@ -2672,7 +2679,6 @@ " 0\n", " 0\n", " ...\n", - " 2551\n", " 2594\n", " 2606\n", " 2606\n", @@ -2682,6 +2688,7 @@ " 2775\n", " 2832\n", " 2893\n", + " 2893\n", " \n", " \n", " Brazil\n", @@ -2696,7 +2703,6 @@ " 0\n", " 0\n", " ...\n", - " 584016\n", " 614941\n", " 645771\n", " 672846\n", @@ -2706,6 +2712,7 @@ " 772416\n", " 802828\n", " 828810\n", + " 850514\n", " \n", " \n", " Brunei\n", @@ -2793,7 +2800,6 @@ " 0\n", " ...\n", " 18\n", - " 18\n", " 19\n", " 19\n", " 19\n", @@ -2802,6 +2808,7 @@ " 20\n", " 20\n", " 20\n", + " 20\n", " \n", " \n", " Laos\n", @@ -2840,7 +2847,6 @@ " 0\n", " 0\n", " ...\n", - " 196\n", " 209\n", " 239\n", " 256\n", @@ -2850,6 +2856,7 @@ " 378\n", " 393\n", " 409\n", + " 418\n", " \n", " \n", " West Bank and Gaza\n", @@ -2864,7 +2871,6 @@ " 0\n", " 0\n", " ...\n", - " 457\n", " 464\n", " 464\n", " 464\n", @@ -2874,6 +2880,7 @@ " 485\n", " 487\n", " 489\n", + " 489\n", " \n", " \n", " Guinea-Bissau\n", @@ -2889,7 +2896,6 @@ " 0\n", " ...\n", " 1339\n", - " 1339\n", " 1368\n", " 1368\n", " 1368\n", @@ -2898,6 +2904,7 @@ " 1389\n", " 1389\n", " 1460\n", + " 1460\n", " \n", " \n", " Mali\n", @@ -2912,7 +2919,6 @@ " 0\n", " 0\n", " ...\n", - " 1386\n", " 1461\n", " 1485\n", " 1523\n", @@ -2922,6 +2928,7 @@ " 1667\n", " 1722\n", " 1752\n", + " 1776\n", " \n", " \n", " Saint Kitts and Nevis\n", @@ -3012,12 +3019,12 @@ " 1142\n", " 1142\n", " 1142\n", - " 1142\n", " 1263\n", " 1263\n", " 1298\n", " 1326\n", " 1326\n", + " 1437\n", " \n", " \n", " Burma\n", @@ -3032,7 +3039,6 @@ " 0\n", " 0\n", " ...\n", - " 233\n", " 236\n", " 236\n", " 240\n", @@ -3042,6 +3048,7 @@ " 248\n", " 260\n", " 261\n", + " 261\n", " \n", " \n", " United Kingdom\n", @@ -3156,12 +3163,12 @@ " 40\n", " 40\n", " 40\n", - " 40\n", " 42\n", " 42\n", " 48\n", " 48\n", " 48\n", + " 60\n", " \n", " \n", " Burundi\n", @@ -3178,7 +3185,6 @@ " ...\n", " 63\n", " 63\n", - " 63\n", " 83\n", " 83\n", " 83\n", @@ -3186,6 +3192,7 @@ " 83\n", " 85\n", " 85\n", + " 85\n", " \n", " \n", " Sierra Leone\n", @@ -3200,7 +3207,6 @@ " 0\n", " 0\n", " ...\n", - " 909\n", " 914\n", " 929\n", " 946\n", @@ -3210,6 +3216,7 @@ " 1062\n", " 1085\n", " 1103\n", + " 1132\n", " \n", " \n", " Netherlands\n", @@ -3248,7 +3255,6 @@ " 0\n", " 0\n", " ...\n", - " 369\n", " 393\n", " 409\n", " 409\n", @@ -3258,6 +3264,7 @@ " 455\n", " 481\n", " 481\n", + " 529\n", " \n", " \n", " United Kingdom\n", @@ -3323,13 +3330,13 @@ " 994\n", " 994\n", " 994\n", - " 994\n", " 1317\n", " 1604\n", " 1604\n", " 1604\n", " 1670\n", " 1670\n", + " 1693\n", " \n", " \n", " Western Sahara\n", @@ -3368,7 +3375,6 @@ " 0\n", " 0\n", " ...\n", - " 484\n", " 485\n", " 499\n", " 499\n", @@ -3378,6 +3384,7 @@ " 611\n", " 632\n", " 639\n", + " 659\n", " \n", " \n", " Yemen\n", @@ -3392,7 +3399,6 @@ " 0\n", " 0\n", " ...\n", - " 419\n", " 453\n", " 469\n", " 482\n", @@ -3402,6 +3408,7 @@ " 560\n", " 591\n", " 632\n", + " 705\n", " \n", " \n", " Comoros\n", @@ -3418,7 +3425,6 @@ " ...\n", " 132\n", " 132\n", - " 132\n", " 141\n", " 141\n", " 141\n", @@ -3426,6 +3432,7 @@ " 162\n", " 162\n", " 163\n", + " 176\n", " \n", " \n", " Tajikistan\n", @@ -3440,7 +3447,6 @@ " 0\n", " 0\n", " ...\n", - " 4191\n", " 4289\n", " 4370\n", " 4453\n", @@ -3450,6 +3456,7 @@ " 4763\n", " 4834\n", " 4902\n", + " 4971\n", " \n", " \n", " Lesotho\n", @@ -3477,7 +3484,7 @@ " \n", " \n", "\n", - "

266 rows × 144 columns

\n", + "

266 rows × 145 columns

\n", "" ], "text/plain": [ @@ -3609,135 +3616,135 @@ "Tajikistan 0 0 0 0 0 0 \n", "Lesotho 0 0 0 0 0 0 \n", "\n", - " 1/30/20 ... 6/3/20 6/4/20 6/5/20 6/6/20 \\\n", + " 1/30/20 ... 6/4/20 6/5/20 6/6/20 6/7/20 \\\n", "Country/Region ... \n", - "Afghanistan 0 ... 17267 18054 18969 19551 \n", - "Albania 0 ... 1184 1197 1212 1232 \n", - "Algeria 0 ... 9733 9831 9935 10050 \n", - "Andorra 0 ... 851 852 852 852 \n", - "Angola 0 ... 86 86 86 88 \n", + "Afghanistan 0 ... 18054 18969 19551 20342 \n", + "Albania 0 ... 1197 1212 1232 1246 \n", + "Algeria 0 ... 9831 9935 10050 10154 \n", + "Andorra 0 ... 852 852 852 852 \n", + "Angola 0 ... 86 86 88 91 \n", "Antigua and Barbuda 0 ... 26 26 26 26 \n", - "Argentina 0 ... 19268 20197 21037 22020 \n", - "Armenia 0 ... 10524 11221 11817 12364 \n", - "Australia 0 ... 107 107 107 108 \n", - "Australia 4 ... 3106 3110 3110 3109 \n", + "Argentina 0 ... 20197 21037 22020 22794 \n", + "Armenia 0 ... 11221 11817 12364 13130 \n", + "Australia 0 ... 107 107 108 108 \n", + "Australia 4 ... 3110 3110 3109 3112 \n", "Australia 0 ... 29 29 29 29 \n", - "Australia 3 ... 1060 1060 1061 1061 \n", + "Australia 3 ... 1060 1061 1061 1062 \n", "Australia 0 ... 440 440 440 440 \n", "Australia 0 ... 228 228 228 228 \n", - "Australia 2 ... 1678 1681 1681 1685 \n", - "Australia 0 ... 592 592 596 599 \n", - "Austria 0 ... 16771 16805 16843 16898 \n", - "Azerbaijan 0 ... 6260 6522 6860 7239 \n", - "Bahamas 0 ... 102 102 102 103 \n", - "Bahrain 0 ... 12815 13296 13835 14383 \n", - "Bangladesh 0 ... 55140 57563 60391 63026 \n", + "Australia 2 ... 1681 1681 1685 1687 \n", + "Australia 0 ... 592 596 599 599 \n", + "Austria 0 ... 16805 16843 16898 16902 \n", + "Azerbaijan 0 ... 6522 6860 7239 7553 \n", + "Bahamas 0 ... 102 102 103 103 \n", + "Bahrain 0 ... 13296 13835 14383 14763 \n", + "Bangladesh 0 ... 57563 60391 63026 65769 \n", "Barbados 0 ... 92 92 92 92 \n", - "Belarus 0 ... 45116 45981 46868 47751 \n", - "Belgium 0 ... 58685 58767 58907 59072 \n", - "Benin 0 ... 244 261 261 261 \n", - "Bhutan 0 ... 47 47 48 48 \n", - "Bolivia 0 ... 11638 12245 12728 13358 \n", - "Bosnia and Herzegovina 0 ... 2551 2594 2606 2606 \n", - "Brazil 0 ... 584016 614941 645771 672846 \n", + "Belarus 0 ... 45981 46868 47751 48630 \n", + "Belgium 0 ... 58767 58907 59072 59226 \n", + "Benin 0 ... 261 261 261 261 \n", + "Bhutan 0 ... 47 48 48 59 \n", + "Bolivia 0 ... 12245 12728 13358 13643 \n", + "Bosnia and Herzegovina 0 ... 2594 2606 2606 2606 \n", + "Brazil 0 ... 614941 645771 672846 691758 \n", "Brunei 0 ... 141 141 141 141 \n", "... ... ... ... ... ... ... \n", "Timor-Leste 0 ... 24 24 24 24 \n", - "Belize 0 ... 18 18 19 19 \n", + "Belize 0 ... 18 19 19 19 \n", "Laos 0 ... 19 19 19 19 \n", - "Libya 0 ... 196 209 239 256 \n", - "West Bank and Gaza 0 ... 457 464 464 464 \n", - "Guinea-Bissau 0 ... 1339 1339 1368 1368 \n", - "Mali 0 ... 1386 1461 1485 1523 \n", + "Libya 0 ... 209 239 256 256 \n", + "West Bank and Gaza 0 ... 464 464 464 472 \n", + "Guinea-Bissau 0 ... 1339 1368 1368 1368 \n", + "Mali 0 ... 1461 1485 1523 1533 \n", "Saint Kitts and Nevis 0 ... 15 15 15 15 \n", "Canada 0 ... 5 5 5 5 \n", "Canada 0 ... 11 11 11 11 \n", "Kosovo 0 ... 1142 1142 1142 1142 \n", - "Burma 0 ... 233 236 236 240 \n", + "Burma 0 ... 236 236 240 242 \n", "United Kingdom 0 ... 3 3 3 3 \n", "United Kingdom 0 ... 8 8 8 8 \n", "United Kingdom 0 ... 12 12 12 12 \n", "MS Zaandam 0 ... 9 9 9 9 \n", "Botswana 0 ... 40 40 40 40 \n", - "Burundi 0 ... 63 63 63 83 \n", - "Sierra Leone 0 ... 909 914 929 946 \n", + "Burundi 0 ... 63 63 83 83 \n", + "Sierra Leone 0 ... 914 929 946 969 \n", "Netherlands 0 ... 7 7 7 7 \n", - "Malawi 0 ... 369 393 409 409 \n", + "Malawi 0 ... 393 409 409 438 \n", "United Kingdom 0 ... 13 13 13 13 \n", "France 0 ... 1 1 1 1 \n", - "South Sudan 0 ... 994 994 994 994 \n", + "South Sudan 0 ... 994 994 994 1317 \n", "Western Sahara 0 ... 9 9 9 9 \n", - "Sao Tome and Principe 0 ... 484 485 499 499 \n", - "Yemen 0 ... 419 453 469 482 \n", - "Comoros 0 ... 132 132 132 141 \n", - "Tajikistan 0 ... 4191 4289 4370 4453 \n", + "Sao Tome and Principe 0 ... 485 499 499 513 \n", + "Yemen 0 ... 453 469 482 484 \n", + "Comoros 0 ... 132 132 141 141 \n", + "Tajikistan 0 ... 4289 4370 4453 4529 \n", "Lesotho 0 ... 4 4 4 4 \n", "\n", - " 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 6/12/20 \n", - "Country/Region \n", - "Afghanistan 20342 20917 21459 22142 22890 23546 \n", - "Albania 1246 1263 1299 1341 1385 1416 \n", - "Algeria 10154 10265 10382 10484 10589 10698 \n", - "Andorra 852 852 852 852 852 853 \n", - "Angola 91 92 96 113 118 130 \n", - "Antigua and Barbuda 26 26 26 26 26 26 \n", - "Argentina 22794 23620 24761 25987 27373 28764 \n", - "Armenia 13130 13325 13675 14103 14669 15281 \n", - "Australia 108 108 108 108 108 108 \n", - "Australia 3112 3114 3117 3117 3115 3119 \n", - "Australia 29 29 29 29 29 29 \n", - "Australia 1062 1062 1062 1063 1064 1065 \n", - "Australia 440 440 440 440 440 440 \n", - "Australia 228 228 228 228 228 228 \n", - "Australia 1687 1687 1691 1699 1703 1703 \n", - "Australia 599 599 599 601 602 602 \n", - "Austria 16902 16968 16979 17005 17034 17064 \n", - "Azerbaijan 7553 7876 8191 8530 8882 9218 \n", - "Bahamas 103 103 103 103 103 103 \n", - "Bahrain 14763 15417 15731 16200 16667 17269 \n", - "Bangladesh 65769 68504 71675 74865 78052 81523 \n", - "Barbados 92 92 92 96 96 96 \n", - "Belarus 48630 49453 50265 51066 51816 52520 \n", - "Belgium 59226 59348 59437 59569 59711 59819 \n", - "Benin 261 288 305 305 305 388 \n", - "Bhutan 59 59 59 59 62 62 \n", - "Bolivia 13643 13949 14644 15281 16165 16929 \n", - "Bosnia and Herzegovina 2606 2704 2728 2775 2832 2893 \n", - "Brazil 691758 707412 739503 772416 802828 828810 \n", - "Brunei 141 141 141 141 141 141 \n", - "... ... ... ... ... ... ... \n", - "Timor-Leste 24 24 24 24 24 24 \n", - "Belize 19 19 20 20 20 20 \n", - "Laos 19 19 19 19 19 19 \n", - "Libya 256 332 359 378 393 409 \n", - "West Bank and Gaza 472 473 481 485 487 489 \n", - "Guinea-Bissau 1368 1389 1389 1389 1389 1460 \n", - "Mali 1533 1547 1586 1667 1722 1752 \n", - "Saint Kitts and Nevis 15 15 15 15 15 15 \n", - "Canada 5 5 5 5 5 5 \n", - "Canada 11 11 11 11 11 11 \n", - "Kosovo 1142 1263 1263 1298 1326 1326 \n", - "Burma 242 244 246 248 260 261 \n", - "United Kingdom 3 3 3 3 3 3 \n", - "United Kingdom 8 8 8 8 8 8 \n", - "United Kingdom 12 12 12 12 12 12 \n", - "MS Zaandam 9 9 9 9 9 9 \n", - "Botswana 40 42 42 48 48 48 \n", - "Burundi 83 83 83 83 85 85 \n", - "Sierra Leone 969 1001 1025 1062 1085 1103 \n", - "Netherlands 7 7 7 7 7 7 \n", - "Malawi 438 443 455 455 481 481 \n", - "United Kingdom 13 13 13 13 13 13 \n", - "France 1 1 1 1 1 1 \n", - "South Sudan 1317 1604 1604 1604 1670 1670 \n", - "Western Sahara 9 9 9 9 9 9 \n", - "Sao Tome and Principe 513 513 514 611 632 639 \n", - "Yemen 484 496 524 560 591 632 \n", - "Comoros 141 141 141 162 162 163 \n", - "Tajikistan 4529 4609 4690 4763 4834 4902 \n", - "Lesotho 4 4 4 4 4 4 \n", + " 6/8/20 6/9/20 6/10/20 6/11/20 6/12/20 6/13/20 \n", + "Country/Region \n", + "Afghanistan 20917 21459 22142 22890 23546 24102 \n", + "Albania 1263 1299 1341 1385 1416 1464 \n", + "Algeria 10265 10382 10484 10589 10698 10810 \n", + "Andorra 852 852 852 852 853 853 \n", + "Angola 92 96 113 118 130 138 \n", + "Antigua and Barbuda 26 26 26 26 26 26 \n", + "Argentina 23620 24761 25987 27373 28764 30295 \n", + "Armenia 13325 13675 14103 14669 15281 16004 \n", + "Australia 108 108 108 108 108 108 \n", + "Australia 3114 3117 3117 3115 3119 3128 \n", + "Australia 29 29 29 29 29 29 \n", + "Australia 1062 1062 1063 1064 1065 1065 \n", + "Australia 440 440 440 440 440 440 \n", + "Australia 228 228 228 228 228 228 \n", + "Australia 1687 1691 1699 1703 1703 1720 \n", + "Australia 599 599 601 602 602 602 \n", + "Austria 16968 16979 17005 17034 17064 17078 \n", + "Azerbaijan 7876 8191 8530 8882 9218 9570 \n", + "Bahamas 103 103 103 103 103 103 \n", + "Bahrain 15417 15731 16200 16667 17269 17713 \n", + "Bangladesh 68504 71675 74865 78052 81523 84379 \n", + "Barbados 92 92 96 96 96 96 \n", + "Belarus 49453 50265 51066 51816 52520 53241 \n", + "Belgium 59348 59437 59569 59711 59819 59918 \n", + "Benin 288 305 305 305 388 412 \n", + "Bhutan 59 59 59 62 62 66 \n", + "Bolivia 13949 14644 15281 16165 16929 17842 \n", + "Bosnia and Herzegovina 2704 2728 2775 2832 2893 2893 \n", + "Brazil 707412 739503 772416 802828 828810 850514 \n", + "Brunei 141 141 141 141 141 141 \n", + "... ... ... ... ... ... ... \n", + "Timor-Leste 24 24 24 24 24 24 \n", + "Belize 19 20 20 20 20 20 \n", + "Laos 19 19 19 19 19 19 \n", + "Libya 332 359 378 393 409 418 \n", + "West Bank and Gaza 473 481 485 487 489 489 \n", + "Guinea-Bissau 1389 1389 1389 1389 1460 1460 \n", + "Mali 1547 1586 1667 1722 1752 1776 \n", + "Saint Kitts and Nevis 15 15 15 15 15 15 \n", + "Canada 5 5 5 5 5 5 \n", + "Canada 11 11 11 11 11 11 \n", + "Kosovo 1263 1263 1298 1326 1326 1437 \n", + "Burma 244 246 248 260 261 261 \n", + "United Kingdom 3 3 3 3 3 3 \n", + "United Kingdom 8 8 8 8 8 8 \n", + "United Kingdom 12 12 12 12 12 12 \n", + "MS Zaandam 9 9 9 9 9 9 \n", + "Botswana 42 42 48 48 48 60 \n", + "Burundi 83 83 83 85 85 85 \n", + "Sierra Leone 1001 1025 1062 1085 1103 1132 \n", + "Netherlands 7 7 7 7 7 7 \n", + "Malawi 443 455 455 481 481 529 \n", + "United Kingdom 13 13 13 13 13 13 \n", + "France 1 1 1 1 1 1 \n", + "South Sudan 1604 1604 1604 1670 1670 1693 \n", + "Western Sahara 9 9 9 9 9 9 \n", + "Sao Tome and Principe 513 514 611 632 639 659 \n", + "Yemen 496 524 560 591 632 705 \n", + "Comoros 141 141 162 162 163 176 \n", + "Tajikistan 4609 4690 4763 4834 4902 4971 \n", + "Lesotho 4 4 4 4 4 4 \n", "\n", - "[266 rows x 144 columns]" + "[266 rows x 145 columns]" ] }, "execution_count": 5, @@ -3794,6 +3801,13 @@ "Hollande=Hollande_et_colonies[Hollande_et_colonies.isnull().any(axis=1)]\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "élimination des colonies pour la France, le Royaume Unis et la Hollande" + ] + }, { "cell_type": "code", "execution_count": 8, @@ -3831,7 +3845,6 @@ " 1/29/20\n", " 1/30/20\n", " ...\n", - " 6/3/20\n", " 6/4/20\n", " 6/5/20\n", " 6/6/20\n", @@ -3841,6 +3854,7 @@ " 6/10/20\n", " 6/11/20\n", " 6/12/20\n", + " 6/13/20\n", " \n", " \n", " Country/Region\n", @@ -3881,7 +3895,6 @@ " 5\n", " 5\n", " ...\n", - " 188836\n", " 185986\n", " 186538\n", " 187067\n", @@ -3891,10 +3904,11 @@ " 187996\n", " 188354\n", " 188918\n", + " 189311\n", " \n", " \n", "\n", - "

1 rows × 144 columns

\n", + "

1 rows × 145 columns

\n", "" ], "text/plain": [ @@ -3902,19 +3916,19 @@ "Country/Region \n", "France NaN 0 0 2 3 3 \n", "\n", - " 1/27/20 1/28/20 1/29/20 1/30/20 ... 6/3/20 6/4/20 \\\n", + " 1/27/20 1/28/20 1/29/20 1/30/20 ... 6/4/20 6/5/20 \\\n", "Country/Region ... \n", - "France 3 4 5 5 ... 188836 185986 \n", + "France 3 4 5 5 ... 185986 186538 \n", "\n", - " 6/5/20 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 \\\n", - "Country/Region \n", - "France 186538 187067 187360 187458 187599 187996 188354 \n", + " 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 6/12/20 \\\n", + "Country/Region \n", + "France 187067 187360 187458 187599 187996 188354 188918 \n", "\n", - " 6/12/20 \n", + " 6/13/20 \n", "Country/Region \n", - "France 188918 \n", + "France 189311 \n", "\n", - "[1 rows x 144 columns]" + "[1 rows x 145 columns]" ] }, "execution_count": 8, @@ -3986,12 +4000,12 @@ }, "outputs": [], "source": [ - "SommeChine=Chine.sum()\n" + "SommeChine=Chine.sum()" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -4029,7 +4043,6 @@ "2/19/20 74619\n", "2/20/20 75077\n", " ... \n", - "5/14/20 84029\n", "5/15/20 84038\n", "5/16/20 84044\n", "5/17/20 84054\n", @@ -4059,7 +4072,8 @@ "6/10/20 84209\n", "6/11/20 84216\n", "6/12/20 84228\n", - "Length: 143, dtype: int64\n" + "6/13/20 84286\n", + "Length: 144, dtype: int64\n" ] } ], @@ -4069,7 +4083,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": { "hideCode": false, "hidePrompt": false @@ -4081,34 +4095,7 @@ }, { "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "'str' object is not callable", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mHongKong\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Conutry/Region'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mPY2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mrename\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 3025\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axis'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3026\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'mapper'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3027\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3028\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3029\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mAppender\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_shared_docs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fillna'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_shared_doc_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mrename\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 882\u001b[0m \u001b[0mlevel\u001b[0m \u001b[0;34m=\u001b[0m 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in \u001b[0;36m_transform_index\u001b[0;34m(index, func, level)\u001b[0m\n\u001b[1;32m 5078\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_tuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5079\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5080\u001b[0;31m \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5081\u001b[0m \u001b[0;32mreturn\u001b[0m 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\u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5081\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5082\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: 'str' object is not callable" - ] - } - ], - "source": [ - "HongKong.rename('Conutry/Region')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, + "execution_count": 14, "metadata": { "hideCode": false, "hidePrompt": false @@ -4130,22 +4117,9 @@ "HongKong=HongKong.T" ] }, - { - "cell_type": 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\n", 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\n", 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" ] @@ -4182,14 +4156,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Plotter,\n", - "SommeChine=0\n", - "HongKong=China" + "plotter" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 16, "metadata": { "hideCode": false, "hidePrompt": false @@ -4198,16 +4170,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 23, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -4226,110 +4198,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "plotter en log,\n", - "SommeChine=0\n", - "HongKong=China" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pd.concat([Belgique,SommeChine],axis=1).plot(logy=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "La suite c est pas encore important" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "df=pd.concat([Belgique],axis=1)" + "plotter en log" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "plt.figure();\n", - "\n", - "Belgique.plot(label='dates').set(y_label(\"nombredemalades\"))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plt.figure();\n", - "\n", - "Belgique.plot(style='k--', label='Series');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a=pd.concat([Belgique,France,Allemagne,Iran,Italie,Japon,Hollande,Portugal,Espagne,RoyaumeUnis,CoreeduSud,EtatsUnis],axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a.plot().set_xlabel('dates')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "axes = pyplot.gca()\n", - "axes.set_xlabel('axe des x')" + "# Deuxième partie" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -4338,80 +4219,2436 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df=df.drop(columns=['Lat','Long'])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Belgique1=df.loc[['Belgium'],:]\n", - "Chine1=df.loc[['China'],:]\n", - "France1=df.loc[['France'],:]\n", - "Allemagne1=df.loc[['Germany'],:]\n", - "Iran1=df.loc[['Iran'],:]\n", - "Italie1=df.loc[['Italy'],:]\n", - "Japon1=df.loc[['Japan'],:]\n", - "Hollande_et_colonies1=df.loc[['Netherlands'],:]\n", - "Portugal1=df.loc[['Portugal'],:]\n", - "Espagne1=df.loc[['Spain'],:]\n", - "RoyaumeUni_et_colonies1=df.loc[['United Kingdom'],:]\n", - "CoréeduSud1=df.loc[['Korea, South'],:]\n", - "EtatsUnis1=df.loc[['US'],:]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "France1" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "France_metropolitaine=France1[France1.isnull().any(axis=1)]\n", - "RoyaumeUnis=RoyaumeUni_et_colonies1[RoyaumeUni_et_colonies1.isnull().any(axis=1)]\n", - "Hollande=Hollande_et_colonies1[Hollande_et_colonies1.isnull().any(axis=1)]\n", - "HongKong1=Chine1.iloc[[12],:]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "France1=France1.T" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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Antigua and BarbudaNaN17.060800-61.7964000000000...3333333333
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AustraliaAustralian Capital Territory-35.473500149.0124000000000...3333333333
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AustraliaNorthern Territory-12.463400130.8456000000000...0000000000
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BangladeshNaN23.68500090.3563000000000...7818118468889309751012104910951139
BarbadosNaN13.193900-59.5432000000000...7777777777
BelarusNaN53.70980027.9534000000000...253259263269276282288293298303
BelgiumNaN50.8333004.0000000000000...9548956695809595960696199629963696469650
BeninNaN9.3077002.3158000000000...3333444456
BhutanNaN27.51420090.4336000000000...0000000000
BoliviaNaN-16.290200-63.5887000000000...415427454465475487512533559585
Bosnia and HerzegovinaNaN43.91590017.6791000000000...159159159159160160161161163163
BrazilNaN-14.235000-51.9253000000000...34021350263593036455371343840639680409194182842720
BruneiNaN4.535300114.7277000000000...2222222222
..................................................................
Timor-LesteNaN-8.874217125.7275390000000...0000000000
BelizeNaN13.193900-59.5432000000000...2222222222
LaosNaN19.856270102.4954960000000...0000000000
LibyaNaN26.33510017.2283310000000...5555555568
West Bank and GazaNaN31.95220035.2332000000000...3333333333
Guinea-BissauNaN11.803700-15.1804000000000...8121212121212121515
MaliNaN17.570692-3.9961660000000...8587909092949697101104
Saint Kitts and NevisNaN17.357822-62.7829980000000...0000000000
CanadaNorthwest Territories64.825500-124.8457000000000...0000000000
CanadaYukon64.282300-135.0000000000000...0000000000
KosovoNaN42.60263620.9029770000000...30303030313131313132
BurmaNaN21.91620095.9560000000000...6666666666
United KingdomAnguilla18.220600-63.0686000000000...0000000000
United KingdomBritish Virgin Islands18.420700-64.6400000000000...1111111111
United KingdomTurks and Caicos Islands21.694000-71.7979000000000...1111111111
MS ZaandamNaN0.0000000.0000000000000...2222222222
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BurundiNaN-3.37310029.9189000000000...1111111111
Sierra LeoneNaN8.460555-11.7798890000000...47474848495050505151
NetherlandsBonaire, Sint Eustatius and Saba12.178400-68.2385000000000...0000000000
MalawiNaN-13.25430834.3015250000000...4444444445
United KingdomFalkland Islands (Malvinas)-51.796300-59.5236000000000...0000000000
FranceSaint Pierre and Miquelon46.885200-56.3159000000000...0000000000
South SudanNaN6.87700031.3070000000000...10101014191919242427
Western SaharaNaN24.215500-12.8858000000000...1111111111
Sao Tome and PrincipeNaN0.1863606.6130810000000...12121212121212121212
YemenNaN15.55272748.5163880000000...103111111112112127129136139160
ComorosNaN-11.64550043.3333000000000...2222222222
TajikistanNaN38.86103471.2760930000000...48484848484848494950
LesothoNaN-29.60998828.2336080000000...0000000000
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266 rows × 147 columns

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" + ], + "text/plain": [ + " Province/State Lat \\\n", + "Country/Region \n", + "Afghanistan NaN 33.000000 \n", + "Albania NaN 41.153300 \n", + "Algeria NaN 28.033900 \n", + "Andorra NaN 42.506300 \n", + "Angola NaN -11.202700 \n", + "Antigua and Barbuda NaN 17.060800 \n", + "Argentina NaN -38.416100 \n", + "Armenia NaN 40.069100 \n", + "Australia Australian Capital Territory -35.473500 \n", + "Australia New South Wales -33.868800 \n", + "Australia Northern Territory -12.463400 \n", + "Australia Queensland -28.016700 \n", + "Australia South Australia -34.928500 \n", + "Australia Tasmania -41.454500 \n", + "Australia Victoria -37.813600 \n", + "Australia Western Australia -31.950500 \n", + "Austria NaN 47.516200 \n", + "Azerbaijan NaN 40.143100 \n", + "Bahamas NaN 25.034300 \n", + "Bahrain NaN 26.027500 \n", + "Bangladesh NaN 23.685000 \n", + "Barbados NaN 13.193900 \n", + "Belarus NaN 53.709800 \n", + "Belgium NaN 50.833300 \n", + "Benin NaN 9.307700 \n", + "Bhutan NaN 27.514200 \n", + "Bolivia NaN -16.290200 \n", + "Bosnia and Herzegovina NaN 43.915900 \n", + "Brazil NaN -14.235000 \n", + "Brunei NaN 4.535300 \n", + "... ... ... \n", + "Timor-Leste NaN -8.874217 \n", + "Belize NaN 13.193900 \n", + "Laos NaN 19.856270 \n", + "Libya NaN 26.335100 \n", + "West Bank and Gaza NaN 31.952200 \n", + "Guinea-Bissau NaN 11.803700 \n", + "Mali NaN 17.570692 \n", + "Saint Kitts and Nevis NaN 17.357822 \n", + "Canada Northwest Territories 64.825500 \n", + "Canada Yukon 64.282300 \n", + "Kosovo NaN 42.602636 \n", + "Burma NaN 21.916200 \n", + "United Kingdom Anguilla 18.220600 \n", + "United Kingdom British Virgin Islands 18.420700 \n", + "United Kingdom Turks and Caicos Islands 21.694000 \n", + "MS Zaandam NaN 0.000000 \n", + "Botswana NaN -22.328500 \n", + "Burundi NaN -3.373100 \n", + "Sierra Leone NaN 8.460555 \n", + "Netherlands Bonaire, Sint Eustatius and Saba 12.178400 \n", + "Malawi NaN -13.254308 \n", + "United Kingdom Falkland Islands (Malvinas) -51.796300 \n", + 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47.576900 0 0 0 0 \n", + "Bahamas -77.396300 0 0 0 0 \n", + "Bahrain 50.550000 0 0 0 0 \n", + "Bangladesh 90.356300 0 0 0 0 \n", + "Barbados -59.543200 0 0 0 0 \n", + "Belarus 27.953400 0 0 0 0 \n", + "Belgium 4.000000 0 0 0 0 \n", + "Benin 2.315800 0 0 0 0 \n", + "Bhutan 90.433600 0 0 0 0 \n", + "Bolivia -63.588700 0 0 0 0 \n", + "Bosnia and Herzegovina 17.679100 0 0 0 0 \n", + "Brazil -51.925300 0 0 0 0 \n", + "Brunei 114.727700 0 0 0 0 \n", + "... ... ... ... ... ... \n", + "Timor-Leste 125.727539 0 0 0 0 \n", + "Belize -59.543200 0 0 0 0 \n", + "Laos 102.495496 0 0 0 0 \n", + "Libya 17.228331 0 0 0 0 \n", + "West Bank and Gaza 35.233200 0 0 0 0 \n", + "Guinea-Bissau -15.180400 0 0 0 0 \n", + "Mali -3.996166 0 0 0 0 \n", + "Saint Kitts and Nevis -62.782998 0 0 0 0 \n", + "Canada -124.845700 0 0 0 0 \n", + "Canada -135.000000 0 0 0 0 \n", + "Kosovo 20.902977 0 0 0 0 \n", + "Burma 95.956000 0 0 0 0 \n", + "United Kingdom -63.068600 0 0 0 0 \n", + "United Kingdom -64.640000 0 0 0 0 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... 0 0 \n", + "Canada 0 0 0 ... 0 0 \n", + "Canada 0 0 0 ... 0 0 \n", + "Kosovo 0 0 0 ... 30 30 \n", + "Burma 0 0 0 ... 6 6 \n", + "United Kingdom 0 0 0 ... 0 0 \n", + "United Kingdom 0 0 0 ... 1 1 \n", + "United Kingdom 0 0 0 ... 1 1 \n", + "MS Zaandam 0 0 0 ... 2 2 \n", + "Botswana 0 0 0 ... 1 1 \n", + "Burundi 0 0 0 ... 1 1 \n", + "Sierra Leone 0 0 0 ... 47 47 \n", + "Netherlands 0 0 0 ... 0 0 \n", + "Malawi 0 0 0 ... 4 4 \n", + "United Kingdom 0 0 0 ... 0 0 \n", + "France 0 0 0 ... 0 0 \n", + "South Sudan 0 0 0 ... 10 10 \n", + "Western Sahara 0 0 0 ... 1 1 \n", + "Sao Tome and Principe 0 0 0 ... 12 12 \n", + "Yemen 0 0 0 ... 103 111 \n", + "Comoros 0 0 0 ... 2 2 \n", + "Tajikistan 0 0 0 ... 48 48 \n", + "Lesotho 0 0 0 ... 0 0 \n", + "\n", + " 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 \\\n", + "Country/Region \n", + "Afghanistan 327 357 369 384 405 426 \n", + "Albania 34 34 34 34 34 35 \n", + "Algeria 698 707 715 724 732 741 \n", + "Andorra 51 51 51 51 51 51 \n", + "Angola 4 4 4 4 4 5 \n", + "Antigua and Barbuda 3 3 3 3 3 3 \n", + "Argentina 648 664 693 717 735 765 \n", + "Armenia 190 200 211 217 227 245 \n", + "Australia 3 3 3 3 3 3 \n", + "Australia 48 48 48 48 48 48 \n", + "Australia 0 0 0 0 0 0 \n", + "Australia 6 6 6 6 6 6 \n", + "Australia 4 4 4 4 4 4 \n", + "Australia 13 13 13 13 13 13 \n", + "Australia 19 19 19 19 19 19 \n", + "Australia 9 9 9 9 9 9 \n", + "Austria 672 672 672 672 673 674 \n", + "Azerbaijan 84 88 93 98 102 108 \n", + "Bahamas 11 11 11 11 11 11 \n", + "Bahrain 24 26 27 29 31 34 \n", + "Bangladesh 846 888 930 975 1012 1049 \n", + "Barbados 7 7 7 7 7 7 \n", + "Belarus 263 269 276 282 288 293 \n", + "Belgium 9580 9595 9606 9619 9629 9636 \n", + "Benin 3 3 4 4 4 4 \n", + "Bhutan 0 0 0 0 0 0 \n", + "Bolivia 454 465 475 487 512 533 \n", + "Bosnia and Herzegovina 159 159 160 160 161 161 \n", + "Brazil 35930 36455 37134 38406 39680 40919 \n", + "Brunei 2 2 2 2 2 2 \n", + "... ... ... ... ... ... ... \n", + "Timor-Leste 0 0 0 0 0 0 \n", + "Belize 2 2 2 2 2 2 \n", + "Laos 0 0 0 0 0 0 \n", + "Libya 5 5 5 5 5 5 \n", + "West Bank and Gaza 3 3 3 3 3 3 \n", + "Guinea-Bissau 12 12 12 12 12 12 \n", + "Mali 90 90 92 94 96 97 \n", + "Saint Kitts and Nevis 0 0 0 0 0 0 \n", + "Canada 0 0 0 0 0 0 \n", + "Canada 0 0 0 0 0 0 \n", + "Kosovo 30 30 31 31 31 31 \n", + "Burma 6 6 6 6 6 6 \n", + "United Kingdom 0 0 0 0 0 0 \n", + "United Kingdom 1 1 1 1 1 1 \n", + "United Kingdom 1 1 1 1 1 1 \n", + "MS Zaandam 2 2 2 2 2 2 \n", + "Botswana 1 1 1 1 1 1 \n", + "Burundi 1 1 1 1 1 1 \n", + "Sierra Leone 48 48 49 50 50 50 \n", + "Netherlands 0 0 0 0 0 0 \n", + "Malawi 4 4 4 4 4 4 \n", + "United Kingdom 0 0 0 0 0 0 \n", + "France 0 0 0 0 0 0 \n", + "South Sudan 10 14 19 19 19 24 \n", + "Western Sahara 1 1 1 1 1 1 \n", + "Sao Tome and Principe 12 12 12 12 12 12 \n", + "Yemen 111 112 112 127 129 136 \n", + "Comoros 2 2 2 2 2 2 \n", + "Tajikistan 48 48 48 48 48 49 \n", + "Lesotho 0 0 0 0 0 0 \n", + "\n", + " 6/12/20 6/13/20 \n", + "Country/Region \n", + "Afghanistan 446 451 \n", + "Albania 36 36 \n", + "Algeria 751 760 \n", + "Andorra 51 51 \n", + "Angola 5 6 \n", + "Antigua and Barbuda 3 3 \n", + "Argentina 785 815 \n", + "Armenia 258 264 \n", + "Australia 3 3 \n", + "Australia 48 48 \n", + "Australia 0 0 \n", + "Australia 6 6 \n", + "Australia 4 4 \n", + "Australia 13 13 \n", + "Australia 19 19 \n", + "Australia 9 9 \n", + "Austria 675 677 \n", + "Azerbaijan 113 115 \n", + "Bahamas 11 11 \n", + "Bahrain 36 37 \n", + "Bangladesh 1095 1139 \n", + "Barbados 7 7 \n", + "Belarus 298 303 \n", + "Belgium 9646 9650 \n", + "Benin 5 6 \n", + "Bhutan 0 0 \n", + "Bolivia 559 585 \n", + "Bosnia and Herzegovina 163 163 \n", + "Brazil 41828 42720 \n", + "Brunei 2 2 \n", + "... ... ... \n", + "Timor-Leste 0 0 \n", + "Belize 2 2 \n", + "Laos 0 0 \n", + "Libya 6 8 \n", + "West Bank and Gaza 3 3 \n", + "Guinea-Bissau 15 15 \n", + "Mali 101 104 \n", + "Saint Kitts and Nevis 0 0 \n", + "Canada 0 0 \n", + "Canada 0 0 \n", + "Kosovo 31 32 \n", + 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"Allemagne1=df.loc[['Germany'],:]\n", + "Iran1=df.loc[['Iran'],:]\n", + "Italie1=df.loc[['Italy'],:]\n", + "Japon1=df.loc[['Japan'],:]\n", + "Hollande_et_colonies1=df.loc[['Netherlands'],:]\n", + "Portugal1=df.loc[['Portugal'],:]\n", + "Espagne1=df.loc[['Spain'],:]\n", + "RoyaumeUni_et_colonies1=df.loc[['United Kingdom'],:]\n", + "CoréeduSud1=df.loc[['Korea, South'],:]\n", + "EtatsUnis1=df.loc[['US'],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/State1/22/201/23/201/24/201/25/201/26/201/27/201/28/201/29/201/30/20...6/4/206/5/206/6/206/7/206/8/206/9/206/10/206/11/206/12/206/13/20
Country/Region
FranceFrench Guiana000000000...1111222222
FranceFrench Polynesia000000000...0000000000
FranceGuadeloupe000000000...14141414141414141414
FranceMayotte000000000...25252525252828282828
FranceNew Caledonia000000000...0000000000
FranceReunion000000000...1111111111
FranceSaint Barthelemy000000000...0000000000
FranceSt Martin000000000...3333333333
FranceMartinique000000000...14141414141414141414
FranceNaN000000000...29010290562908729100291532923729260292872931529339
FranceSaint Pierre and Miquelon000000000...0000000000
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11 rows × 145 columns

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" + ], + "text/plain": [ + " Province/State 1/22/20 1/23/20 1/24/20 1/25/20 \\\n", + "Country/Region \n", + "France French Guiana 0 0 0 0 \n", + "France French Polynesia 0 0 0 0 \n", + "France Guadeloupe 0 0 0 0 \n", + "France Mayotte 0 0 0 0 \n", + "France New Caledonia 0 0 0 0 \n", + "France Reunion 0 0 0 0 \n", + "France Saint Barthelemy 0 0 0 0 \n", + "France St Martin 0 0 0 0 \n", + "France Martinique 0 0 0 0 \n", + "France NaN 0 0 0 0 \n", + "France Saint Pierre and Miquelon 0 0 0 0 \n", + "\n", + " 1/26/20 1/27/20 1/28/20 1/29/20 1/30/20 ... 6/4/20 \\\n", + "Country/Region ... \n", + "France 0 0 0 0 0 ... 1 \n", + "France 0 0 0 0 0 ... 0 \n", + "France 0 0 0 0 0 ... 14 \n", + "France 0 0 0 0 0 ... 25 \n", + "France 0 0 0 0 0 ... 0 \n", + "France 0 0 0 0 0 ... 1 \n", + "France 0 0 0 0 0 ... 0 \n", + "France 0 0 0 0 0 ... 3 \n", + "France 0 0 0 0 0 ... 14 \n", + "France 0 0 0 0 0 ... 29010 \n", + "France 0 0 0 0 0 ... 0 \n", + "\n", + " 6/5/20 6/6/20 6/7/20 6/8/20 6/9/20 6/10/20 6/11/20 \\\n", + "Country/Region \n", + "France 1 1 1 2 2 2 2 \n", + "France 0 0 0 0 0 0 0 \n", + "France 14 14 14 14 14 14 14 \n", + "France 25 25 25 25 28 28 28 \n", + "France 0 0 0 0 0 0 0 \n", + "France 1 1 1 1 1 1 1 \n", + "France 0 0 0 0 0 0 0 \n", + "France 3 3 3 3 3 3 3 \n", + "France 14 14 14 14 14 14 14 \n", + "France 29056 29087 29100 29153 29237 29260 29287 \n", + "France 0 0 0 0 0 0 0 \n", + "\n", + " 6/12/20 6/13/20 \n", + "Country/Region \n", + "France 2 2 \n", + "France 0 0 \n", + "France 14 14 \n", + "France 28 28 \n", + "France 0 0 \n", + "France 1 1 \n", + "France 0 0 \n", + "France 3 3 \n", + "France 14 14 \n", + "France 29315 29339 \n", + "France 0 0 \n", + "\n", + "[11 rows x 145 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "France1" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "France_metropolitaine1=France1[France1.isnull().any(axis=1)]\n", + "RoyaumeUnis1=RoyaumeUni_et_colonies1[RoyaumeUni_et_colonies1.isnull().any(axis=1)]\n", + "Hollande1=Hollande_et_colonies1[Hollande_et_colonies1.isnull().any(axis=1)]\n", + "HongKong1=Chine1.iloc[[12],:]\n", + "Chine1=Chine1.drop(index='Hong Kong')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "France1=France1.T" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "Belgique1=Belgique1.T\n", + "France1=France_metropolitaine1.T\n", + "Allemagne1=Allemagne1.T\n", + "Iran1=Iran1.T\n", + "Italie1=Italie1.T\n", + "Japon1=Japon1.T\n", + "Hollande1=Hollande1.T\n", + "Portugal1=Portugal1.T\n", + "Espagne1=Espagne1.T\n", + "RoyaumeUnis1=RoyaumeUnis1.T\n", + "CoreeduSud1=CoréeduSud1.T\n", + "EtatsUnis1=EtatsUnis1.T\n", + "HongKong1=HongKong1.T\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "SommeChine1=Chine1.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "F=France1.groupby(level=0, axis=1).sum()" + "pd.concat([Belgique1,France1,Allemagne1,Iran1,Italie1,Japon1,Hollande1,Portugal1,Espagne1,RoyaumeUnis1,CoreeduSud1,EtatsUnis1,HongKong1,SommeChine1],axis=1).plot(logy=True)" ] }, { -- 2.18.1