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Commit 8d1813b4 authored by e37f53768e87588f0cb324bd4088e654's avatar e37f53768e87588f0cb324bd4088e654
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module2/exo1/Untitled.ipynb 0 → 100644
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 4
}
module2/exo1/toy_notebook_fr.ipynb
View file @ 8d1813b4
{ {
"cells": [], "cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## toy_notebook_fr\n",
"\n",
"### March 28,2019\n",
"\n",
" à propos du calcul de $\\pi$\n",
"\n",
" En demandant à la lib maths\n",
"mon ordinateur m'indique que $\\pi$ vaut *approximativement*"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
"from math import *\n",
"print (pi)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"1.2 En utilisant la méthode des aiguilles de Buffon\n",
"mais calculé avec la méthode des _aiguilles de Buffon_, on obtiendrait comme __approximation__ :\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.128911138923655"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"np.random.seed(seed=42)\n",
"N = 10000\n",
"x = np.random.uniform(size=N, low=0, high=1)\n",
"theta = np.random.uniform(size=N, low=0, high=pi/2)\n",
"2/(sum((x+np.sin(theta))>1)/N)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Avec un argument \"fréquentiel\" de surface\n",
"Sinon avec une méthode plus simple à comprendre et ne faisant par intervenir d'appel à la fonction sinus se base sur le fait que si $X\\sim U(0,1)$ et si $Y\\sim U(0,1)$ alors $P[$X^2$+$Y^2$\\leq 1]= $\\pi/4$ (voir [méthode de Monte Carlo sur Wikipedia](https://fr.wikipedia.org/wiki/M%C3%A9thode_de_Monte-Carlo#D%C3%A9termination_de_la_valeur_de_%CF%80)). Le code suivant illustre ce fait :"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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tYJqU3nLDy5cVx7I6qrq7KdGDwcwwZUMDf0sG4+QkuWxhoTIrAgGVheeG6M3NKplJCKWhwT7Zxw1c1aks4MWs0K8vIcbjx3l9Ozu+uXk7Q5mcVI7BB1zWuy9CffkAPRW8qQn4gz+gLwYgDp44QdwS/8zWFpl3VRW1hIICvm8YxO+REdKeW14LkBnp0yM6ppkZVWpoUM5fa7RwG0QiwGc+owh9bQ2pSAMmSjsQmyzF3bENJAo0CaXXHnR1kXhv3iRn29xkVl17u7qhnrS0tKSkr5RLbm2p7EV5oHPn+HtwkJ9Ppfj91lYyj/FxcjinIg3rpokT8exZ/vb5cg+D7SZ33y18u9Pr2yGDJDHtpkBph/CRkfxWCdzcDHzqUyS2hga+/8lPEm+PHaPw8vmIw+vrxHfRiMfH+XmJeLlpk06m6eXL2+tS6uspKD05fyMReid/8xsk78YxsRhE0SYQXJ9DsrIZ1+ejeEL8SFb1t7ubRDo6SuKySl9d6pWXk3OaJtVUyV4ULqXb2pWVvG5BAaV7JMLvmyYleCxG+yqbGp7PtNvdOAWzmRVO129s5OtW7cbuuZqaVDaawAMqu953xJ/P2hJJwrPr4XH8uIpaHTlCwSha7tISzQK9SMvtvOxwyMkcyKmW477X/F58AiWJuyhKryNd14SV576GokhE0ZRdTLy7mwvOFicNBOhIjEZJ0JI88+Uv87OxGDmZHMbZs5Toov6nUsqsmJmhAxFQzSsWF8lZneoBdgP5YiK5XL+xkQzQyclo91y7RoSdgcG6nAcP3d3dZq6DOnXi1BmtnXq800Y6Tt/T79vXR5zt7lYMYWVFaYb5fpZsF3r7+zFEChawWRHGWnMUm6HIbzN+n38eStXWESyXBXvZFHmAzk6F/BIulLi/aVK1EsYgdftbWzQPPoz2YtmeM9f1yF6n0ypNWeL9zz1nf8+8IIICwzCumKbZnfVz+4n4rTicSBDP1tYytVev+5nLWTt1adrNeeWrfVxW2t4DBHO9qYSvrA+m5xgUFHAj9XBhLtwzXyCHMD7On2g00+Oa6x5duMBnuXZNOUpTKfpVvvUt5zqFPLZ380r8+0rt17VXScAqKSEe6ZEkLxGenYaABeS8vGiTTmcracjynvh+8m7a7kb9dVq8nSd9Y4OJPvLZM2fsVXndLyB+BFFVHiToSDA1ReIfHOTeHD2qHG9uDMm6P4bB/6WxB8DXamqcr5UPE2cHsK+IX7eTBwYYJZGqPj0WPzmZPT9jt+3bvJ6XG5MBMt/Ti76am70zAk+0vRMEc1u812YaVm4aiSi/wIO0c+2YmLVMORIhwU5MEJmOH1dRC6drWvdnfp7ZgYcPk6GtrvIax4/veWeeXGFfEb9IuMVF+piWl2lOhsM8r8ZGEntjI02t/n6Vh2LFrZ2EgHeinVnxS0xAn4/rEgYkuTRS9OWluc+egxuH9NJMQz5rZTp7kZrrBk5MbHmZYcRr15TULiri69IH7vHHna9rtz/Smam/n9dqa1NmTXm5+xofcBvzfUX8Irx+8ANKybU1EnpxMWPx9+4xrb2lRdVkSCsvK27l6m332hpcumyZJn9u3OB6JFcmFKIg6O1lircU0cn74guTuhCfj34iN9zIZW2e8SoeZz88Uc+lVZhwSDmMK1eo6g8MeO8U7KSqACpEJpu4uKiSilpasi/eTcJbmZiojktLvPbQkNJITJPRCbfcArsqwKEhlfBTUMADldBSV5e781S6/169ShXwxRdpFu0R7CviB3juW1sknKkp2vxSEr64yN+hEM/yyhXuYXs7w3V6U5hEgvstGZiFhfbCR87q7bfJZOwEm94a3O9X5cOnT/M7r73Gz4gJODNDQfnOO7ze008T/3w+MgspzBMm0dHhHj3yIqBz6k+h16enUkwIevttbk5ra2amXTpN6Sg1/W7qlvUgrU4U6yYmk1yDtPQqLeXnnBafTcLrUFamQpd+Pwm1slJFIVKp7T4LK1glyPg4r9PaSmYpffinp1Vo1G59UqA1PMx7BwKslfhP/wn46le9zTDYAew74hcwTZ7n3Bz3UKSq5JOMjXEP6+v5s7jIcxgdVbMinn6aBPLWW8Qnu2iAnFVBAX/6+8lYEgkKjnv3SAuRCAl5YoI4BPDvzk6aKFNTPO+xMc6nED9XIsE29Z2dxBFJZ796VfWiuHiRzMvJP+FmwuzItyFfamgAfvpTSl3pgTY3x350+ucCARLCBx/wAaQSMFsttLW4obaW1+rv5/3m55lJJX3a5uZ46E6LzybhrWqeOFb8fs4JmJ5mTYRk3yUS7hV3VvNlZoZSRLQk3ZEZiShksq7v3Xf52dJSMoGhIRUSHRri7z2w//Zleu/Ro9yjdJoJUi0tVP+rqniOUo05PU0mXFhIIn39dQqUiQmFr2fOsIZFEtJ00HGpooLX3NoC3niDeHn3rjItUinirGgjJSWqhPvxx4lrohUeOaImOJ06RTwfHVV9Of1+pYmsrfE7bu3l3bJMd9SaXr60sEAVq7ycnnzDYA7y7Gzm54TbtrSo1l6xGDmaWwjEqd25pBRLQQWgNtRt8U4PKxLerrehVBiePs17ADyQI0d4IG5zFawpwFLOq/cR1LUfp/UB3NOSEoVAhsF1uLUv3yXsS+Lv7iYOJpPc8+VlEmUwSEFx6xb/rqvjuQwNcS8Ng87XWCxzjoWOT3r/yrffVrgnwmdqSqXDS/eoykoymtJS4pTeMgyg47etjUVB0qdydZUaSXk58NhjZGLd3XxvY4O+omPHMjt16aDjlFP9QDS6w/R2+ZI0P+zoADo7sXT4BK7O1uPyaxxwkigIZw6dqK7mg3ziEyQmYRJ2YG2ZVVND1Ur63K+uKi4IqA11W7zTwzY3Z8/Tn5jgAXV3k/Crq3m969ft7yWIcvky/z9zhqq9WwNVp/UdO8bvLSyo766t8fPB4J718N+XxB+JcJ+/9CUSeCpFbeCLX6Qkrari2dXXUyAVFys7vaxMVV8KCD5ZhZE+8EaahCaTxMmNDSUUW1pU+ntZGbWC+XnSgWTDvviiak6ztkb8EudvIqGa1cq5b22pStYjR7YT99QUTZkLF0hHtbWqke2tW0roujEGR5Av+f3c3FQK02Mp/Ox6M/ovJTG1GsbMDHB5PorFyRWqu+If8Dp0wioF9YKhpiZuoHDK+XlufFWV++LdHlaktHTp3Y0K7TRFBsjsKKwfhNv6Tp8mgqTT6tAbG8kMm5v3LAy6b23+SIRe8FBoe8hYHLzRKPFGiKypSYVtpShNjzJZTcbOTqbyDg5SIPj9lODRKAXI+jo/5/fz+zIB6NgxlYQE8P/KSgrQ6mpGKzY2+PlEgmt8+mmaE3V1xC2ZyfH442Rs3d3KOS4NZoqLST9TU6ocWEqOr1yhib61xfVJuNlTfo8Qit8P9PZiqbQaF2ePwyjyo6ZwBXerurAwDLS3RzBY1IPulUmqPjU1/BFHl4Qa7EIOhrHdDk+nafsXFnKzgsFMb7+1Pt5p3XoUIRBQyR8NDaw+tPOgHz3KhiWGoaoYFxYoTazg5FuQKTLSUTiZJPJUVjoX9shhRCLAH/4hryGNWMUfsUdh0H2V3msHFy6Q+UpDGoCEMTJCpvnaa6q7Un29YqTT09sbc9hda2GBRPzoo8pOHxxUfpmCAhKY9Prr6SExy4yN6mr+yHuRCL938WImPs7Okl76+9XIN2lc88ILwO//vsJ5a2Ztfz+fsaKCOCLdiSsqyDR2lc0bj6P/5RgG3lpA4FAYyw1RrJdHkEqRRhsagOfPxFWoym5T9Hx/ievLxJr6ej6sHiIRh8duJfTQEDltZaXyrs7P02FpZQDxOJElHleDVKV02roGJ6T7zW/IrXdaQ6GvZRcx/9/J9F47KCggouvTef1+ZebpoS6naj6BXHtCrq5uF0qAmrEhHbeHhxluFCd1R8d23Lt1i3Rw/TrP3OfjfQoKlN9Jmv5avfviWFxc5P+5lBxnxbNIBHcae7DyMWBhQ4UrS0ro9zh6FEqivfwyCUcfIbayYh+uaGggBysupre7ooJMQneW7ba91cWL3EQJv8jvixe3H4AQuheic0oSAewdetK2qa9P9Yk7dsw5hPeA0n33NfFLD8jFRZ7H2hr3t7VVEUouae1eE8/kmnbnIwJQZmwIsczOKt+VHQg+TU9zHeIb8Pv53qVLqgHOnTt89vV11X14eVm1APNacuy1vsHaPbykRDGo35rfkQhVqZMnMyViWVlmiy/9dWnIKdzM+j2919nYGB9MEo68SMPJSdWEQSAUynT46OCV6LJNkbFWnsXjdAym0+zpD5DhxeNUzdxGne0h7Gvij8VUL0mpnqyoUCaWgNczzUf5tz5jw1ZK3gerxBVzYn2dhLu2xmuIs290VPmX5ueBf/kXahOGwWefnGQ+iIQKFxaIVwJ2PiOvOQAyS1K6h9+7p5yYujlv3ggjWJxEU2dACXC9xZddOqXe/VbXGPReZ5ubjKsWFKgwoFuyj4AM/RSJDyjvqldwUo3cMhSBTFOmooIpqOm0CvEYhhrjJX3cCgt50Hamxh7AviZ+XWAIsu22OCyXgh07nHCTktXVxA2pHm1oIIFLQs8zz5DY33+f3nsxmYeGMud5rq0pM6KuTiWUSfPR9nYyCBkI5KTBZKtv0J9RUo1lvKBd+XSwK4qtK70Y6AOOni5DqDCpWnxJ7r94KGMxLvbNN1ULI+vQUZ+PF759m9+TzLtsyT4Cjz0G/Nf/yuvU1vL76+vA5z+f/YBlA9xUI7t7C1PQTZnr18m4ysvJOcvLiRjvvMP1SHLT6iqdVX199rX/eYZ9TfxOppdMrnLKg99JQw+nzD8rTjhJyWeeUT4vKdx5/XU6EuvqeK833qA0ra9XfifDIA7pTuelJTX4V6S7afJe4uvwUnLsVt9g94x2Pjhde9hCBJvdPSgajOFu/xxCZ7Ubi6Pk9m1KvGiUGyQdflpbKZX1dFjpdSZODUA1EvVShTU9zV5t165RuygvB/7dv/OeL7+b7r+6ZJIBpAA3ESChS5sovUW5TJZ5WIjfMIzPAfgLAD4A/800zT+3vB8C8P8BaLl/zf/TNM3/ka9FOhGjbnpJ05ixMeLFqVOqJ4O1hNatfsKLHZwNJ6wzNiT0KPM1Ll0iwxc8lnySe/e4rtOn6ZOS2ZfiABcIBonPdXXqtdVVXkdC6140GDcfh9MzWpvvjo8ziUlgMxSB2d2DsTngqH5/fUF1dbzgyAgvsrqaOUFVsuWEO+ltxr0k++iHVFurHBOTk1SrpBQ0W3un3XT/1Tlrc7Oa21dZydclz0HGeX0IkJX4DcPwAfg2gM8CmABw2TCM86Zp6qlP3wJw3TTN3zMMowbATcMwfmCa5vpuF+hF85LQaE0N/SkyFl2fXCXZkdb6iViM9RP/6l+pWHo2Zp8NJ+wIb3ycwkfOWxqRrK3x/fl54vT162Raeqh4akqFBcvK6BOYnFSzO8NhapXSiNQruPk4nHp19PZSi5GzGB/nc3iaNwCQO6+sUP2RoQgyPtn6ZeFOVVW0fSQBpqHBPfZtV5EI8Bp6//VXX1XhRjvkMgz7UJJb6addu6eKCraH3tzkmmR+XEeHmkSUTnNvpqcpuYaG9twR6EXyPwnglmmawwBgGMYPAXwJgE78JoCgYRgGgHIAcQA5joi1h2zEGImQwGVYzFtvKWEyPp5ZhQqomZA6E5C/NzeJU7okA7Yzezt1eWqK53bhgv1ZLS6qITT19fTzJBL8TjhMnAoEKJhqajKft76ez1NcTGE5NcVsxuvX+f1EQtXR2CW/uZkxThqCXQg1FqN2ofcm2NrimisqPJTmx+NU+YWA0mmWMR4+zIeUjDf5ss6dUinl0XVL9tErEgsKqGL196vKLOm/HgiQOAGl9lnLIe1CSYcP0yHndF9dSt1vq45Uivf9kz/Zbj+m02qsd1kZ11JTw/wEfYjDHjR38EL8jQD02MgEACu6/CWA8wDuAggC+APTNLfysUAvmpf+GdEQRaUGMoXJ1avUOoeHiR9AZv2EUwGYzuz1piKzs9Tm7txh628nUyEYVENoAgGaAxcuqCw9ielXVvKauiTVo2KA8g+1t6tkumSSZqLVt2HXmi4bHjmFUOfngSefVFWvUnY8O+sxg/CUEBQyAAAgAElEQVQ+Ua1cHcbk5CqSG1Wo8B1G7cgUyo4c4WZYv+wWV7UDsa+EQ4XD3LBYjOqUHvrb2CCz6e/n4QSDKg00FlODQqyhJGC7U8lOStXXuyf4SFHRyy+rCT9SClxZqew+T6WYuYMX4jdsXrOmBT4P4D0AnwLQAeBVwzB+ZZrmYsaFDOMbAL4BAC0tLZ4W6KXphtW86u8nMhoGfUbSPLa9XdVPLC9TfV5fJyJPT1OCLS3RL1Rf7yzJpHxXsvjSaV57ZoaMRTc15KxaWngfGULT1MSU3sJCnrlI17Gx7fUw1sIw65AY3UwGMoWQNAWxM4PsehLq1bXd3Zl4LyFLa3u61lZeNyteLiwgUVqPGyhDhTmOEBJIVtTjhnEEhz/1Va5fFr9TdVe3r06e5P83b3Kh1oq7hQUeelOT0kTu3aPabQ0lSeXi668Twazc1IvK6ARLS0oSyf961lYu18oBvBD/BAA9U6IJlPA6/BGAPzeZK3zLMIzbAB4FcEn/kGma3wHwHYDpvV4WaHVKSZRIGHg0mvmZigoSosyVbGlRQ2MHB2mvvvEGpZnPp5xWjz7K/S8szGy95iTJxDEnpkYo5GxqyDrjcUaohKnE43xdl/LV1ZSwTiPlvTBDXQgtL7ubQcB2jfXqVeLfiRPqvpIyPTCgSt5zbk8XDmPi3SQKq0NAcwhJAAWpFWCzmMwo6sHbmi0Uo9tXABNv5ue5YJ+Pqt3sLAlZbMRAQMVnxdaXXINAIHNcd0EBuenVq6o5hN+fGbJzOhgrDA1RggwPU+JsbvJePh9/67MJ96C4x0tV32UAUcMw2gzDKALwNVDF12EMwKcBwDCMOgCPABjOxwJFyt66BfzTPzH9ur6eTFYvptIrNmtq+P/nPsdKSznfQIDM/Q//EPi93+N+Ly6qGPrqKu/V0MCzdysA04vSdFND8vGtZ6WXft++zecJh4nHk5OqyEuvALSrPs1WpSe+rvffV4VF2dbmVl0roFfGSkFSURGZQ2GhR7yMRpGaWUGZycUXpFZgpFZgRKNkHtaFyN/irXWqptPHfYl9de0aN0GcEw0NPNxYjMQvU1EjEdU3IBAg95UhIrK5+rju8nIS+9QUbXVp1zU5ydecSi+t64zHVR74sWP8/O3bZACrq2RYVVU5lGLmDlklv2maacMw/hTABTDU913TNK8ZhvHN++//FYD/HcBfG4ZxFTQT/oNpmi7F3N4hHqfEPnJEJXg5qde62nnhguozIapreTnPt6dH9W/4/vd53aKi7F2knabq6qZGMLjdbyUg4cl4nOvXNZnVVV5HtAynULSbhz4epwP77l1eLxAgMykr47M7rc3qV2lupmCzq3wEiJ96rYTnorP7i08Ox1CemMNmMIy1ji4s+SMIl9ssBMhUU7J5f+NxEuH163xwses2N7kBw8OZ6prU3st9VlZoIkgZbmcnY65vvMFNOX2aCHXjRmaDE7F9KisV17aWXtr1XtPzwI8doyYxMUF19aWXyKT2YtLQffAU5zdN8ycAfmJ57a+0v+8C2JOsBL37rWhekm129qyzKRQOk7DEox8KkWCnpvi+9IL02kVaNDQ5r9LSzKm6knFXXm7vt7I+j9xPIkG5FH45eeivXCH+NDQQhzY2lG9DHJp2a7OaEm7j+IDsvTfdTPX27gh6N3uwbMc8Yllsmmzzznt7+dCRCAnvzh3WGxiGilM+9RS/FwxyU2ZmKB1OnFBdV+fneeAidZJJSuULF2i3SU+2QED1MDh+XLXbAoBXXuF1ZmaUQ0ef837jhiodLi0l4hw7Rp/D2bP21V95hoc+w09SS69dIxJL7Udfn7I79bJxgWiUCTx+v5r2PDJCc0HaY/X2qmpTwFmS6Rqa5O0vLvIe09PKaff009mZ827yRrLB9eukk7Iy5ZxbX+f6nYbFAN7mGOpgZT65DEBx01zmq6O4d74XiU2grLoMLdVJhHxZHB4SY5XR4+k0QynvvEOVbmGByR9DQyTC997jjPbmZhUOCod56AUFVAkrK1UlYjpNtVG45/y88hrX1CiVUaqyLlwgkr7+OpFNnEG9vUTYoiLV0mlqir+rqx2qpfYWHnriD4eZJl1aqrorp1I8q+Fhalu1tduRLRLh+S4vqz6Mjz6q8kkEfyQS4JYKa9XQxJckrcOtU3XdfFK5tgy3gtdS7/Jy/jQ0cL/cmNJuC5pyzYK101zicaB3MIJQtAeVszGkZ+dwbT6Moy92oVJ3eFi9v6J+CfHeu0eCqqzkYd+6RRu+pkYh0yOPKHXt2jVKXLHfxO6TSsRr13jwlZWK0Rw9SoJ+6im1jl//mvdYWaHaNTdHxJSahKUlIoxUPXZ2UoL4fKrJpF4t9QDgoSf+aJR2rDhSZfqxxMVPnFBl41Zka25WKr3ukZdSV2sLeicYGyPDkM68kp1qrdQDskvB3cyryHZtu2Y0d++qRiVuzGI3JeT50GaEgRQHIkg2cCHpFWBwFugR7dfKpaanSfgNDaq1kgxJkIyokhLVrtnnY7GPrq599av8rJUbSyWihN0Mg8jX1kYV//ZtZd/fvk0Cl3jorVtEzps3ed2SEqVuSpgqFKIPob9/e7XUA4KHnvjlvKWxa2Wl6nhbXOw8jgvIJDTrmHnAm8SVpDQx75aXiQ/V1WompQ5eMhJ3KmWzXVvi8oODFCoyz6C7O4ee/R7ByfkpkGtkyjMD0bmUdNQBlNe1rIxEXVjIsMfJk6pKMJUi8qTTSl0Tjio3FG4slYjSx1CGioqK39Ki1nHjBh9eVMLKSt4/maSan0iQAejz4wD7TjEPEB564gfIIMXkkmw3L/XqOqGVl28fM+82pEPUarHth4eZC7KwQMExNQX82Z9tJyIvSOxkM2dT5bNde35eZSiWlSnfV1lZ9o4+uYCsVwqkJiaoWX3608o/Jnvr1UzZkTmkf0k6rA4OkgjPnqVNODtL5NnaojR+991MJ5Fbbb7fz8+NjlJNP3XKW089acmUTivHlMw+cErgOBjXZQ/6+YyMULubn+c569N2xCSw67vgpczVTq3+xS94XfEzBAJMcTVN4pXE6/V6/lyQOBdnWbYS3PPnSQOtrcS3d94ho5PkHiA/zkXxgUgkpa2NAu7ttylgW1oyIwCBAGnm3XfpBBctxeqgzdkcsn7J7+fDy+ZVV3NTlpaIFFLTb3USWbmxHto5dEh5+ONx9XD64q32ls+negfMzqpGjisrlBx37vB7x47xd64jo/ME+6Z1t9jLgQAZsNRWvPmmSs4ZHHTO/xgaYpTltde499XV2/dVV6ulr0R/P+8hxWGlpVT3Fxbs75Vrq+xseS06uF1bCFIa48o6332Xa3v7bf68/rpqA7ZTWFhQBVKlpcoclgEqeihbwrTXrpEmpK7CmvOiJ0E5tdYHkDlYQQaD2H1JEkSiUapAq6skvMOHVb683SbroZ26On5XZvbpD6dDdzevu7nJzb11i8wiGqVP4sQJdc/xcZVQ8v77wPe+x2lBXpEgj7BviB/IJJRwmNl7585xH2dnnfdPmriurJCAV1b4/9BQ5vX1ATT9/VRnjxyhnX/jBpFYGoUII7LeyzMSW+6pg1PLe7dr6+3DAOWbuHWLTr9f/pIO6eFh4t/3vrf9+b1COKwGzAhY+wnozyYzPeTHaQiNPJ9jZqVdhp8QuPVLgiwyEKG2lqq/DGJw2mQ7Llpaqspr7SASoTRqbyezaGujNhAMEpEkpDg7S6ki7Znr6shkXnlFTYcR2KNBHTrsC7VfIJvN6/TetWvemrhKYtClSzwjSRU+epTm4tAQNT4p/HFaRy6e81zNBKdrW9uHDQ9TYNXWqjTme/fIKNvbuZfnzzPV2YtmaZ1CLG3tpW4gldreT0CeTW/EI+bvjsyPXGKKgiyJhAqjyfy//n5ugj5wVP+elyaMVrDWlvf3q6oxyZN+5x0ygMOHqUVIxlo8TrW0uzuzh6FbS6o8wL4i/myE4vReX5+3Jq7V1dQmZ2dJNGLTnzvH/xMJ4szWlvs6cvHd5GtUvbV9mCSQ9fQQb6Wib2WFOCWdg9ycf3rjXOm8JYVsDQ10Lq6tcd8kkqabN/JsTg7znOtUcmk6KCGIuTkS2sSEqnIyDH7u6ae330PnoisrysNbVMQH9bq+UAj41a9U3cDt22qmnGGopKOrV/n+xARtp4UFtUGmyUPcIz/AvlL73Wxeu/cmJ0mws7P0xywvq2vZNXGdnaWJJpV1jY38zOwsf8bHqS1UVPDaduvwUnuiQzYzQTdxvVynpoZr7uhgDorkJCwtqTZygL2aroP+HDK5a3iYGkQgwGft6eFYPil7t+KlrElShTc3GSIXh3nOiWzC/XWwNh2Uja+tpaQdGOBhLi+TIQgBNjfbE5EgUiLBw756lYfc06PacGdbn5T/ytiymRn+nD3LzZN6g4sXuZ72djoqZ2ZUh5fKSuUn2CM/wL6S/Nli5Pp7BQXK+frMM8CPfkQGcPIk931+fnsTV+kwJaWwDQ08k3ffJd489hidjYWFNA+kSYu+DqcpzF56PlohVyewfh2JaqVSpINr17gvjz6q0tHd2n55KQvWG4y4nZkUUYlQ3twkA7h8OUdtNpemgw0N/PzLL/PidXV8+IICcj07lV/AMPjQLS1qyq/Y524HKesbHVWTdmWTKyv54M88Q41ANJPWVq6ps1Nl+zU0kCk4DQDJE+wr4gfcCUVvn3bjhiLO5mZmTb71FkfIP/kkCV+394eGOG1pbY3EUlVFZiCNYJ56KlNTsGvSYtc6zql+3otZsJPmsQKnT6uOPOk0Hc6S7yD45ZZGnkt3JDuwe0YJt1onKHnWZm24/3xjFwZjERS8toCSxqrMPJq1Naoa4TBtb8mfd1L5h4aA736X9lAyqaq2UilyvePH1UHazVzr6FAagiBBRwe/u7ZG9aurC/jCF1ifXlCgcvulHHh1ldeScJN1lkEea/r3xay+XFppy6yEmzdV19tUinteUcGzs8vF/973eD6zs6oaU7L4mpvpo7GOZtOvJT6bX/5Sdb5pbWVrL79fMQo75HcaS+c2O7CxUY0KkwpF6/ftBoN47QmpzwPUe1kEg9RS3UbpuT1jLLa9inIn4+ys96kZ7sXa0hpWzAC6uu4zgF/+kg8tKb96Xfe//teZF5OQ0O3b5IrikX/uOR5+IqEKcmTaqtMMQOswRbvhiVeukLGMjJCBBIP8jjgcJQ3ZbhhkFi75OzOrL9dW2v39PBNp2xYO81zGxsigpXekjvgS3ZHBnffu8Tuzs/zMnTv8Wx8lZ2XCv/gFQ2nhMBnD+jrDuEVFPG9x4OUiza0OzkSCOOPzcU3S36C01H6AjZ2W5LVK1K47kpeS5WzPmM+qRv0+ay1RlPX3AgYwNlaGE+1JNSlF+p0BitNY4eJFHtbGBpGhpYWM4PXX2S21tFSZGC+/7B4+sks+OnxY9eWT0dsDA7TzCwpUYVJnp0oQOnFCNWmUWQYfJW9/rq20l5Z45svLVME7O3n+16+TQH7v95QTzi5GLtVwS0tk1qIeX75MLewzn1Fj4nWP/G9+o6I95eWMrd+7x6Sis2fV53JBfisOSelxcTF/ch1g4wROGsLUFKMdhkHi1+cbuIHbM0o4dW5O9cysqnI3wZ3WnGliRYCuHhSPxbB8Zw44GlY9227cyByXbBdKmZwkwdXVkdB8PqpuQ0P8/le/qgZrZpsBaOeckhFcIs1qa8kMXn6ZiHfiBEOJ16/zgRYXnZs05gkeem+/lyQYqxP4xg0iWGUlz/GNN2junTypvNW641QQXhxhpqneW18noXV38/fPfsazskrZVIqCQ2Bri5pEVRW/J556N4e1FayRgLU14h/A5xEHdm8vtdSxsdz2FtjuJJ+ZoUYrnv36ehJmbW12Z7eA2zNWV9MJLyPFFxf5f7Yomt2ahQlKd+44Iphp78HWZ55XzRaiUcXNJCPQjogaGvjwoRBTFX0+Lrqzkx7Lz35WfU9mAOpgDR85ZSxZM9W6u+lLKC/nvYNBXkufsroH/fuAfSD5vSTB6BISUK272ttJJDIT4e5dJT2lQ7N83zpia2VF4Ynkejz+uEqUseLP8eOq9Fuk+Ooqr6lrK7nG9XXVXcLTIyN8nnRapapPTW3vUrSTSsG5OTLNgQGVzpyrdpHNKf/EE7yeMIC2Nu57rlO0OjtVG/GSEp5ta6t0BdIeTIhyZcX5RufO0SMsElZ68507t13KnztHDglk2vx2MwCtapV1xJG1Z1pVFaMF1dV8fXZW1fnnGR56ye8lV16XkDL+qrVVNVZtbOQZ3L1LKba+TttZHGnWGPknPsEJPj5f9hRWgc9/XjGquTnV6/HjH+f7urYiRS6/+Y29FmEX29d76Tc28lnGxni/wkIyBJl7kS23QAerZiXZeHr6bjpNPHz/fara2a6bLQ25vp4E+tRT/F1fn1smq6xZCvlkqvHamraXueRNA2QI3/ymmp5bUkIiFweR9bMvvaRy9QMB5ezTwU6t+vWvgR//WKX9Ss+0SESllH7hC+TkUhQUjXpXu3KAh17ye61/1yXkr36lJiGZJv02iQQZqgy8TCYZETDNzFAUwD3u6+N+373L99bWVOhva2t727CODuDf/3v6fJJJnulTTymhoWdrBgLAxz6mJKIOTg5Ovz9zhoQMejVNrs2uS5FM2LGLSIlAku5X4swUrVNvV3bpkspEranxFpqTQiwReqL17LaTEbC9klcyF4uLlVl9904YK1eTKKsJoOV+pCzrjU6fVupNtpCIlx57uvaRSNCWqq+n+midSKw78155RRVBGIZyGn4IQzs+dMglV15698ko9EuXKM2iUUqIoSGeb3GxYsh6BAFQxPfCC8DPf04JHQwqbWJ+Hvj2t7eXplZWUv2XMlrriGwZyeXmvHRycL77LhmGPo58bY1aDGDfpejqVTX8RVrW/eAHFCzT07x2Vxe1oL4+4r5onUePUpu4dInab2srn0OS07LhoRMTy9Yz0Sl8bj1jJ7NC7huqjaJ6qRfJRaD/ahm6Oiz9AK2L3Ytaet3zKdVNlZVq9LKdF18eQNpTr65SSzh+XNmpeYJ9QfxO4HRmL77IopXRUSJOYyMR9tgxMtnxcUqwiortTS4ARXyBAPCVr1D9TiZVFKCigkQm8/2sTOPwYUrlWIznJSXgMnFaB7fRY/pngEyJ2dxMR6b4M0yTtv+TT6rP3rpFBmiNSP3jP9IPJdfq7iZB9vczMiFdo2/fVpWtoRB/+3x8T58abAdWJpZO8zwGB3kOdkNRJNRuZVYvvaQmfMtZd3aqNcqZxGLKoVsciCBZ1oPi8Rh8M3MYnw4j9GUblXEva+l1FUXsqdVVZffYefFjMTVPUG8YGYvR6ZRH2LfE73ZmHR2sVpOe/BIP9/ko8Scn+R3dj+NWHSjOtelp5QA0TaViW5kGYN+S24vK6xQKO3o0s8V8Mkk8qq1VdSGrq5l+EV1LEAiFKOl1JhQKkQHMzam1dnSoxrcbG3zm5WXe5+5dRqYkGcpOWOpMTJKESkpUUpueJCRn+cMf8v3aWjW3EKCJLCXUVVXcnzff5H0XFrZPzpLu3JuhCJKhnt/SWJcdLe8mjTIb6EMd791jGE98CYC9GSIPdO0a/xfbbnb2wQ/teJjAbp6c05lFIpk9+SUCMD3N71nHttlVB46PU7qOjFDqiwovzVqspak605DaDmnaYh0r5uTpl8pCPXlsYIDEPzFBHJDZfh//uHJkJxKZ0rurSxU2CRHJ5xobvdnd1gI3mQXg8/Es3nuPpoI1b0K+K0zs6lWaXBLalvteucI9lfHqiYSaYHzkiIp+vfkmfTW66SyFRrW1mXMIq6uJA2fOuD/bb2Eve6lHImqoY2EhEae2lgjl89nnHITD3NCuLiJgIsGH3YOuPg+9t1/A6jiNx1VTTwGrM1ePFEhI6fhx4I//WA1rcaoOnJwk4W9uksBKSmjrp1IkaqkZEMTSY9si6ZaWSGhOY8XsGn1IZaHEwAvun9Dly6q3gN/P9YlGCCjp/eij6prnznHN8/N0UsrfX/mKt25D0Sj3qb2dhC+NQCRLUkKCt29TUL38snJI6/F8w6Cv4MYNRYQyQ2N4WJkTiQQJ984dMgZpu15aqjQVMZ3DYeUA1kvmo1Ga0m7jzPRISqIgh8SLnYBI7NZWPmgyqcqE7QhaENDvJ7KePMnvSoJHHmHfEL+13ZU+T06IzdqiyinkJPUXdkQo35meJuJWVlLFlQ7Rd++SqK2lqU6j3Vpa7Dv9OHWrkVBYczOl++3bvOfGBglAxnmL000HK846RaROn/bWbUjWWlTE/ZB8F7+fzCCRINHLjEohrHg8k4nJrIpHH1XMWSIRkqsgE7WmpsgIlpaoWdy5Qw1H6HNpSbUll4iEPoewsND52ezKrS/PR7E4mUPfNa8gN/vRj+g1npigxFhcVNVnbqWZXltB7QL2jdrvNE9uZER1lykszN6bUcAtghCJUGJ//OPK3gVINOKMSqeJrHYlxTIlSqaQ9/fzzGX+o9s5irosYeCRERXuXV5WIb7KSiXh3JKFnCJSTqE4OwYQCrEITvpSVlZyLVev0icgiUA1NYrJLSyofaupIfMwTe7DygrX/vTTar6FMJFIhHu7vq60mU9+0r4F+xNPkNFaZyQ60YqteV8fweBqD7qLY2rG3o7qjaHs0uvXmRQhhSFbW1zo4cMqnv/++9vjxfqmP4B23vuG+K3OMsmNeOstEqhe+Wg3wCNXKCjgGUl33pYWImVFhbcxVmtrar6gNNPc2spkTHbRChlSMjGhaubjcV7r+nV681dX+fn2diUgcp2yk4uT2+qDqq3lPaem+PlUigyqooI4vbXFDMqhITKKQ4e4zliMTFGEWWEhz+utt2iOlJeTwZSXc8KytMD7xS+o/Swvq3F6p05RQ5Lwt1PBkb7HN25sZ45lZcBcKuKt3tgtJCgdf5eWeFChEDmdzDaPRFQVVmGhCk9kq0/fwzbe+4b4nebJPf749nLbXP01doUt8/NURTs76ajt66PP4Otfz34O1p4OAAm2pSUz3DU/TwS2El9BAb83Okoc8vv52Xff5Ro2NvjM1vbXds+Sj14BVh/U2hrNUL9fOUABqvamSeIfGCDDEmdjIMDvnDqVSWdTU5yelUrxGR99VA0alTOWCsZAQHW40sexy4xEu3McHFQMrriYvoTubofqTLdNkUO145aA6vi7tUXEEUklHE6cLocOkTNKqCLboiW0Ia2R88gI9g3xO2X6xWK7n31nPdPz57nHMgGnsJDE1t7uLf9c1qr3dKipoeYn4a6hIQoGmf+n41kgQAFx9CgRNpmk8JiY4DVeeMGZ8HOR5l7b4RUUKEZ1/LgyMb78ZT7j6Ki61uoqz2V5mc8qA2uCQTV8xbpHfj+98/okpMuXqcnJNaw1BnaNVJzOUVqHT07ydyzGhKltRX5um+LGGAA1zFGyqmS8U0kJ1ZJkkpsnQyCKi5lieukSkUPSSGXR1tCGnredJx+AJ+I3DONzAP4CgA/AfzNN889tPvMsgP8MoBDArGma53a9OgvYmUK7bYBpd6YyiUbmAAIqHyOXteqhRlH/ATKDpSVV52EdqHHsGDsO1dfzvj4f8ePUKa5tYECF/3QmkIs0NwxqM4mEal0mnX3tCEkGz4gjNBhUPQ6sjWsk5DY7q2LuAO9TXu68R3o41u8nsxgYUJqFdBKy0+ycznFkhEJ3a4v3r6+nJjE2RoaWMRfTLRFDxkVLGCcYzKwOE++j3FjstePHyQzef185psrL1YLr6ngY164RaQX5GhpUaEMePJ85CPBA/IZh+AB8G8BnAUwAuGwYxnnTNK9rnwkD+H8AfM40zTHDMGp3vTKP4DX33wnsmL0gLqDi7Ddu8OwLClRZdzbQGdPiIpn96ur2zk4CgmfyvXicji+/nwQ1N0cEfuwxfv6997h+KRX3GrKWIqF79/icMoQklSKeXrlCHJTsOUk0Aoh/Mnw2mSThHz1K/NRpRkynbA5Ja9OQtjZe/+RJ0om0ECstVY49p9wYu3N85x0y8Tt3uMaSEpWqva2a0E2S9PVxYyQBY3WV/586xf8lISIU4qbJvDRJCPmP/5EqiCSpPPEEOZNMPQGIFDry6VmB1umyeQAvkv9JALdM0xwGAMMwfgjgSwCua5/5twD+0TTNMQAwTXM6L6vzCLtxjtoxe0HcyUlK4LExqp4tLbS74/HM8u5s64rFKHkkTHX5Ms93cpJa4NGjauSYMK6vf11NjJIy4du3iZ8S8zYMpZ739HgvmonFVFfi1VUVZpMW3L/+tfJ5Ce4NDXF9H//4ds1COvwCmTTT3Mz9AqjNOIUTOzu35/NXVpIOq6p479VV7mFDw3YmEo+Tnqwt76qruTaJ4BUVkZm2tyv6zKAjN0miO5V0MIztNeGJBAn97Fk+uNVOv3CBHH16mveqrFRxzooKXmtycufTZT2CF+JvBKB3uJ8AYCW1TgCFhmG8DiAI4C9M0/wb64UMw/gGgG8AQIvEwT5kcHIkvviiQshIhIRfXq4cU141L8Enafsm05/SaZ5/eTm93T09mcQhKcpidycSfG9+np7vsjJqjCJMnJ7FTtqKlDRN4qbkJIhKPTNDQSNmSmmpytQLBrc3J5UuvtbOybW19JXYVS8KyFStI0co7UWbkP2IxVR1YTCozGNrHUxtLQnaWiz33HOqVF5oyOdT+7ONjpwkydYWVT5JcNCdGDrTKCykU88w+B07MAxqDZGIqgG/coWb2tysYrDhMK+fbbrsDsEL8duxPGvXTz+A0wA+DaAUwFuGYbxtmuZgxpdM8zsAvgOwgWfuy905OHnB5dx+8QtW76VSNNM6OymVV1bUnAdANYDNdZKSJL1cuqS84G1t6reUo+pgbeRx/jwJMRikBBsYoPoqCOzVBBINQVep5+a4R6+/zj0QLaWkRGkdEk6TzjldXSrbT1+rdNnx4nvI5qeQHyfQvy+jwX1UIrAAACAASURBVPRiOVmPhB43NqgN2GkQriAhj+Zm1Qz0vfdUhZMg1fy8CvltbHCD3nwzsweaIJOEL95+W7XqFkeTxESFEezEps0CXoh/AoDeyqQJwF2bz8yaprkCYMUwjDcAPAZgEA8BZPOCz88zNNvervLpf/ADSsXCwszJTaurfC1XzUsy92preZ5WaZvNjDMMag/xuGoXtr7O9dg1NnED0RBEpRbibmvjs0WjxN31deJ7PM73dGaxrXOO5Vm9psvvNrXeOiTHruWdFw0iK0gCxuioKnq4do0qod/PjXrtNRW+kLxm0yQR67PRdC1ibU1NPNna2u793cOEHy/EfxlA1DCMNgB3AHwNtPF1+GcAf2kYhh9AEWgW/F/5XOhuIJt0uXjRvhnr5CRV65ERniFAZGttzT370yptNzeJRyIc2tvdv7+1xQ5DN26QUAESXV1d7oJA1xBSKQowmU4klY59fVSPu7upDRQW0jchPfdmZsgA7HwfuTTs2G1zDy/fl+f1SkP2WmJEzfqTGfEnT/LGExOqmcC9e4rAZVrqwgKZhO6ckcQJgEghPc12sgk7hKzEb5pm2jCMPwVwAQz1fdc0zWuGYXzz/vt/ZZrmgGEYPwPwAYAtMBzYn69F7jbhKZt0cWvG+tJLJISBAb7++OP23v54nGbb9ftuUGsYTpe2uhNRRr/LAFcx+ewIam2NPqSzZ1UV3927ampwLnuiE0RFxfb5AKdPU7UX4VN7P34jU6iamojfg4OkCf3euYRfdxuqzdesQwFXLdE0eaiGQUeNSGmpLtvY4KHKAI7iYuXAk/7xPT3bFy0dVNraMru/5Mm2d4KHfmhHLkMunMA6QwHIHBTx3e/yf730dX6en//jP85+/Xg8UyMEyHAOH1ZhOPlcLMY6D3HgSYOQQMB9IIbdYJJkUoWXxUnptQlmLvsj9x4dVc48GYSiDySx7olXhr1b5p6PbFi5xttvZ7Y18yXi2BqMoXRtAUeD9+vIGxrUFF6ABC/dWlZWKC2k0cHKCrnkiRP8riCU20QVaeSxtbWjB/qdGdqRj14L2aRDLs1YddAR5u5d4oRTGA5Q0lbyRSYm6JmWDNDlZefn00Nily4R38JhImoolPvI7Vz2xy5jUZJ5nJKfcjFV3T7rhbB3axbrjFWav/T3A6da4qgf68VWSQDzBVVA7QZtnieeoOpz5QovcPo0N0xMg+lpqo2zszyo48fpKNHVertFS3PFHc8zyw0eeuK3qux2TTJyibfbOU2l9PXiRZ5ZQ8P2WX5WsCLM6qpq+iqVdxIVsCLw8rIqejEMfv/GDeVHcErMkZDYygqfXzrtZBu5nY2A9P0ZGVFOMb3Sz5qNJ7CXpqloVPPz1HakS7GXHAuv17dK+4oKCvTSUmDxnRjqmgNIIoDyChAxnniCxN3YSBvQNFWJ52c+wwtLymQ6zd9SwOFlMsledhaywENP/LpDR58ZpzfJ8MIUs0kHvfRVkEIq+uwYjH5GFRUk2HSa5t6RIyoqoHfsFRtSL3oJBFQpudjcTok5+v1kvPu9e8Q7p7biVhtWb4FlmipmLxWF8XhmBp++v/m2r7PBlSs0NWSfVlf5/5UrZAC7ASdp39KiajDSMwtYaapCalUTBPX1PFjrwEcdvvxle1tV9xI7ceS97CxkgYee+HWEu36dhy81EsJYd8IUrVN9xcQyDEqahoZMYtHzL6xn1NxMtf/uXUoNadYi1YZWRi7xcylYWVykr0fyz90Sc+R+H3yguve6jdy26x69tsbvS6ZbSQn3I1t34d2mUns9D6GF69dVpx5A9RH8yU92bA7b7otI+60tavWBADWrQoQR3UqioyugWr4lk+QUvb3eVCm7jXLzKuajt7lHeOiJX/axr4+2bmMjJavUWOyko7GUXm9uEvFnZ8lcZYb84iI1tMVFVVS1vJypaVh7x/f0MJVVGracOkXHsF3HXr3opatLee7X1pyHYFrv94lPUCWWWhGnkdt23aPjcUp9KT6TSjlpD66DVejkO+wcj3OY7iuvkBk+8giZZjxOJqi3KlteZphTBttkM4fdzB0rM+3tJfOWxqErK8BESRSPzfUCSQAV9yX45CQ5enGx+yLcNspL6TCw5+rVQ0/8APfR2k1GINeOxvG4Kr2urqYKvrxM5JiYoDYh1XaAc1GV3SDWY8eAP/qjTBxwqx2Qohe/n7kDbuaL9X6RCOdQVlbad9C1G8ohdSJCDEBmpRzwwITOb9f46qscshIMcp2Dg1yndAf+4AOVRbiwoIbXWsug7fwcTnMDZme3DyuRNvprazz7I0eAsrII3l/qwWoshq7UHCpawtxwvYopm01ux4HcVPu9VK8ssC+IH8hfR+NYTBXLGIbKB+/rozknY9Sk2s6pqErO6MoVVbxy9Oj2+7nVDszOej9fO5xwcnzpiK8P5ZAGpwUFiqD1Sjm79uB7adPHYmSCfr+aoWAYPI+REVXfv7bGzw0Ps6JR32cnc9hOuC4ukvGfPr19WEkqpRqUiDlmmkBiPYL0yR4MSDjzwoXswxcEnDiQDAF14rJ7mNWnw74gfqnaisdJ9Ovran5dKOTcf84O9HHcm5tEKoB/FxUR4dbWyAjEY+9WVDU/TwkiFZ16iS3gzshzjcl7xQkr4stQjnicSP3kk3QUzs9T6ykqorTr6VGScY+FDgDu1cYG7yPTkOUMbt5UNRaSSi+9CwFVVu/32++jXZSot5dMRXI4xFHa368SmUZGMrsvWduz52STO6n3MzOUYiKFrF1FDtp4EfSqrakp2mXinGpqIsLm4vXXe9FPTvK6o6Pce2nMubmphlbMzzsXVfX1EVl0b/TICF9/7jl1zwfEyH8LVsTXh3KcOUO88vn4/IuLqr1WYaGqqLP6pvYiWSccVnUSErqVNmDr6/y+5OsDlPivvcb9DYfJKOSMrL0w7aJEd+6oPhvSCkwGuX7qU2omYiqlEpmkbdhvaTsXm9xOvd/YoK156hS57OxsZleRvZwgZIGHnviFeabTatpLKqWm72Sz/aygl16PjhIZZBrzq6/ymh0dKoVXEFpKVX0+1di1r49MW/dGmybPVif+Bw1uwklP67XL7APUPuaChzvB2WiUzHJ0lPkKo6N0xkoJ9Xvv8TyCQTJmcWxKXX4wSKZmN8NSp1FppZ5KcW0VFXzuyUni1cgIr9/ZyfOVISJ6e/bf0nYuNrndQUjP8oYG+9HhB3F+BcI8r13j76Ym1QdOWqZJXbmXUKh+dtKRV+rl6+qIFAsLZARiUzs1dh0dzRwo8bCAVThNTfF5m5rU+15Cyrng4U5wNhLhHl+5QoaaSgHPPkvG/P77PPMTJ3gmfX30xxw6tL1hq12WoX7O0kq9s1O1wkun6fRrbeU119aU1tPdrTQYa3v2jItnAzstQXqW66Bv+kGcX4EwT/FUA5QApqk81UBuXmlJWFlcBP7+73nt+nrlcDpyZHvDDjvk7uykpCovJzKNjTH5q6ODzGNhQQ2RdCrYcYLdmH3WjL3xcX6/tJTOyVdf5fuG4W6+PojSXGEAIo0DAarojY1cRzyuOl1XVvJ3Msn9Fl+Ak92v0+jamsrhmJxUmbkbG1yjRBX8fq4nL0LWTkuQnuU66Jt+EOdXIMxTt8XE876wkDmswatXWpfiEt8eHSXRd3TwdWvDDjvkPnWKZ7q4yPMtK6MUWV9nYpD0oNMTabyYbvkw+3TEr63NnCFQW5uZXlxfb2++PsjSXH1/hdGXlPDcn3qK7wtTePddajPl5Vy3NEJxmoGhV1TeuaNCm4cO8f/6eqr7krvjtUejJ7BqCXK4gP2mH8T5Fcje+f3ck+pqeqtTKRKcdViDF4mpS/GGBtVyrbRUteqyNuywQ+7CQqqpExNkHDU1yns+PKx69euJNBKZcFtjPs0+3WwqLc2cMNzQoBKL7MxXNzx0ajdv91kd5Hvj46qGoKWFhCf7Kz0PAP6dSFBSi/S/d4/XKShQoctgMDPt17o+iWIA96v1fDwr0Yju3SNjkUGfss95d7xn8xkcxPkzQVRDycBbWFDDGgC+dvmyUusCAR701avbOygB27O7JicpAfTUXGvDDidC6OkhMZ08qcq8S0qUXwLITKQZGSFCuUl1NxXarm9AR4eqBrUiqJ3ZpIewpP+e077b5TLMz5PQpcv01askpmee4XM74awIvc1NNYhDhthIe/CGhu0Fc8JUJOxXXq4YbGUlmdf4OJ9F5llaNSex52VvFxeBv/s7nk1hodIajh9XGt+ONLB8lCEexPm3g5MGJYfT10d1sLiYHLyuzr7U1Zoq++STmam5dg073Biyfj2RWn5tZ/VEmsVF99Hi1vUJSEq5tW/Am2+y/+DHP545o95ajJM1hOUC6TT3RJje+fN8noEBEnI4TCJ64w33kmLRaG7f5rWsgzhWV1U059QprjWdpnZy+jTP6vp1En5/P5lFKESmPTxMRh6LqX2122PZW4BM5NYt3qepSfUnkNkCXjQwndZrl4bQefM8AsX34/cbG95tvQ8B9hXxW5mqpNzKoQiirK+rzjx2pa5eU3Ot4MSQ9euJ1BKJIuOxpWGkSFwdrI4xJy3D5+P1KitVeHF9XTmtGhqci3GyhrAcwClTrrdXdfBdX1ez+txME5G6uhaia0VOWoh0MQK4fxsb/Kyc1cYGryPzBwBnzenMGcVAxcsvA0Il+1L2xMtUIxE+tf44gr88j5FNP1oeq0ZwY5Ucqb19T8J0+YB9M6Lbbrxyby8PXkCkq/6aXamrEEQuU5Dl/jLXPR63v146Tan19NNq6lJjo+rR2NKiJI+AnQT2+aiN/OY3fFYxLwTRBTY2lPosIGm8+vqeew741rcowdNp75OfFxa2M6t0mvZyMKhqXAyDa3HramztYwi4D+IQ0MefNzWpMWfl5WQcppk5wFSX7gJ6noNEDQoLaUqcOKHGkOt74nYdIJMxlkzEUOzfREFVGFPThnKwiD32EMK+kfx2Eqimhq+fOcPXmptZ+Sfz3cfGuO9HjpAAge3aw5kz2QlArwJ00ubstAL9XgLZnLm6NPnYxzJ73ktGnN5NuLCQzEEiIAC/I30ErKankwAaGto+OKOjw9nRKVEMaSNumtm7Glu7BrsN4tBBN7nEJFhYYLZnOKzyNaTFPeC+x3orPgFrx18vZ6VrBr6lBaTD1ShJr2Jp5f7hlJRQ7bQr+ngIYN8Qv50KFo3SwaZXx50+TcTq6yNz6Owksc7PUx1/4w17IgbsvdDV1ZlVgKsetTk3Z5GbMzdbtadkxEnrxaIiEpAM4Ugm6feQPAgvjqqhIbYxq6wkA5XW5S+9lEkAGxtcx8QEE2303HwZsOlWZKUTca5ttHXGdeaMchxKhqwUS8k13PbYjqFNTVHyX7iwnVl6uc5mMAwjzbzxsnIA5v3CELs664cEHvoGngJOTSbX1qjC6RKur48Emk6r1NBkknnhIs1WVylFZMa95PQPDVGN3tpS2ZZLS3RIiaSQUGBDg3NDl95eJnPNzWXOuxP13wkuXNjeSVdGvDc3U5uZmlJNP8XbPzSkOgwXFHC9kj0qe2XXaBPI3sBUIgwSaq2r475IA9G5OX7+scfsp1PtBpz6XFqZdK4JVHq25tSUas0nTlOJ5ADOznv9OuZcHMs/70ViYRNd9bNoD86ivGIXXVV3Ab8zDTwF3EJt1kO3U+vGxlTdvmEotVlGqz3+uL0XenOT0k1Xtb1oc2NjaqyWPu/OLbQGOEul8XFGCdraSHyTk6qWf2iIxCce+ddf52tyb9kzp2w7t9blAPe3ooKhPFlXKKQqBSsqqHEJ4bz6qnOfgVzAam7Nz5M5PvFE5hiwnbYtF4k+Pc1rCrOUZ7xyRXWL8vszsyMlGiSh0N5rETS29eB4cQzGaiE+8B3F0RejqOx4+Lz8AvvG4efFSSec+MYNNX5aQKYei6MJUF18VlaoKfT2UqWVsepSTy6FWH19DA3duZNdm1taogSWIaylpdsdc3agO7dkwKSo/IGACn+NjnLNVVX8PTrK1w2D2kVBgSJewN2hJolOOkgSkIDV8SeVgoEACaGhwX5t4pjVHaReYGgI+C//hc++vMz7S9fiubnM9mgS3ssFBJ+ef57+oPr6zPfLyhhWlKKya9d45pIdKc+kM8aTz0bge6oH6598HunTPRicfXgJH9hHkh9wd1g5NbA4fZoqus/HENf0/fnBUqsvU1yXlniwKysk8KYmSi9Bto4OSu3paTKDb37TXdoYBglAes1JKq3evdntGXU7s6kpEznHx1UNvBCcdB8KhSjFr15VAyqzZYh6aV0uGok1p355OZMpWNcmUrSvL7OLULbS4PPnVV+FjQ0y3GRSzREU0JOfdpqJ55RXIde3y44UpqMnDumwR7U4eYV9RfxOMDREu3V6WnVXlgYW/f20Q5ubKb3LyigVEwkiV0EBkev2beU029hQuf6xGGu919eJdO3t/JyewWeFeJwIUVdHTWNhgUTS3b1dvbYDOyanI+fSEpmSePiDQT6L3n2oo4P74SVD1Evr8miUPpORkcxaetOkWSJDMnt71ZxJgY0Nvn7unDcHpHRbCgZ5v81NMu90mgxNH22mRzb0jEO7zE4ncDIpjx7dnh0pjOb998nYo9EHWouTV9j3xC+e6vl5NVX3Zz8DPvc5Etvt20Sa2lpK31iMCHL0KJFlbIzfi8f5dzDIQ93aovqcSmU6+wDnQRUCoqaL6iuNQaam3Ds+O4FdUtLCAp8PIEPp66NWIZLe52MHaa/ST29dbgcSHx8fV+m2hw/z3m+9RWYq+fLJJNeSSJBo3nuPr3/wgXLAbm4CL7+sqveszTVFM0ul+MymSd8EkBnZWFnhfmxucr9LS50zO92ezc6rD2RmRyaTNCkffZRm59aW6gvopa7hYYN9T/w//rEqnU2lqCYGg/TeRiJ8va5OceUzZ5Rqf+QIv7O2Rts+EFDz83TPeK5cXSbyijRMJFT57OXL1DZkXrybiqqrsj4f13nvnpoTOTjI7xYWkhArK/e2FiSRICE88giJUzoXDQ2RiAsKVJ8Aw1D97197jR750lIy4rv3ZzwXFrImwqoJSEafjCNfXOTzhsNskVZTk/mcly+ToYtqDthndrqBk0mpZ0cuL/PZA4HMcWWzsw+sFievsK+JPx6nxGtq4s/ICCV9ayulxMqKGqihQ1kZ3z95klKov5+fnZ9XvQJffJGfzbXCUvoNXr1KJNWn3lZVEVn0ohWnFmR2eQLSNfrUKfov3nsP+J//k8975kyeS1FtYHFROTEB/p6ZodSVXHxA9QC8dYsE095OgkinuTfimHzsMftOTDIN+/BhMhwxAZ55hve0Emk4zP2uq1Ov2WV27sQvINmR3d3A97/P5y8q2j6u7EG3assH7Dvi1w/wzh3Vk6+igsgiXWuOHlXc2E5yNzTwdyhEqfTGG2rwRTSaOX3WK1fX+w1KV+CrV5V/QKrSJJ4uk52B7RLKLtlHmo12dJAoCgv5fWl7vUet3n4LktWXSinJn0ySyemhUPGJSIl1IEDtQAhFzKFnnuFzSMxebGjZ86EhPmNbG5moDAW1QjRKG1+IWnI49CEmu+2REImocWXpNP1Ht2/z/85Ob5miDxt4In7DMD4H4C/AEd3/zTTNP3f43BkAbwP4A9M0/z5vq7wP1gO8ejUzHl1eztc3N5mcole1AZmS+9w5EvjiIiWxIG93t0o3tRbHWNdhlSA6wYrKPzNDJvXFL6qqNOtkZzvPsFPvRwEZwGGdKSB173vR+FVU97k53jMYVOFOGZxSoiW2BYPKodrQQFNMuiQfOqSSkiQ7UGxoiaNLjD2bxhWJUFM7f56qvrTI08Ox+eiREI0C//RP9HHMzKhmIjJ/oLvbubT6YYSsxG8Yhg/AtwF8FsAEgMuGYZw3TfO6zef+DwAX9mKhQGYzz2vXKOW3tijxt7Z48MEg8KUvKedVNsl9/jyvc+gQJfLoKK9hmkzqsB6kmwTRCVa6zpomi3Okc5O1UQVg70NwyqkXEA+0PlNAvOrPPKOSUl55RfWl2yki6g04JBpgmmrIRUMDtZ3ZWZ6BPpdgZoaSfnaW5yQVdM3NjEZI+bU0PhkdJVM+eza3NuIdHXTueZnQI7CTcNzkJM+ltJRMTKYkT0zQl3H69A67Lz2gdt06eJH8TwK4ZZrmMAAYhvFDAF8CcN3yuT8D8A8AzuR1hRrIaGuJu3Z0UJrEYiyCOXmSBPzJT2Z+z0lyv/02r/PYYzxEyewbGFD+AutBukkQp5DPsWOqOMdusrOdRLPTWCRXYGWFUsc6U0AawwpzFM/38DAl7k5MAp3ZHT5MBvOLX9DB19rK+62skBAaGmhuCd5WVmZ2Sk6nyRief54MS5y1RUU0HcRBWFCQ2VDTumanIiQ3u9sw6HfRU75lEpDdM9vRYSzG9TU2qopGGSiyvJxZUp2TZvEA23Xr4CXDrxGAliuGifuv/RYMw2gE8PsA/ip/S9sO4TA3U7y6Mt46GKSE4Vrcr6GXBst01qUlSphUikzg5k1+trNzeyaZXYmrlNDaZeetrJDI9ZLfxx+ng8yttNYuo/Gzn6W3u7hYNQ1tb1czBWZmuAYxCeRHH2iaK+jMzjDUuKzDh/lbOlCHQiRqu0rHmhpK9aNHaf40NfHz0SgZr8wrlDOtqHDO3pPQ7soKCXhlhf8PDbmf+fw8TbyiItUNeGpqe5amU+m45G5UV5NprK/z85LvsL7O93Swllbb3ujCBcY8NzdVs4Tbt8m9X34599TIHMCL5LcjJ2s10H8G8B9M09w0XKjPMIxvAPgGALS0tHhd428hGqUaW1dH4hobIyGcOsW9kzCeG7fVkVmms1ZX87fUdPt8qnOMgKiIXnriO5kY+fAGyz2knbjcyzC4XmluKdqA7dSZHMCqLou5sbioXnO7tqxX7ygkMXpdk1lc5FmuauOw7a578SK/J05T+X3xonOeQixGBlVSQq1rdpZ7ItqC9bNumt3GhhoeI8lV6TSvbyV+x5CwnfNqaUm1gJYuq9PTe6oBeCH+CQB6XloTgLuWz3QD+OF9wq8G8HnDMNKmab6sf8g0ze8A+A7Aqr5cFyuINDxMSbG+Tmni9ytpnA3Jrf37+vuJFFtb9CrX1tJ8EPtavNEzM7z/kSPuCR35Cvno+OFkv8u95LPt7ZSAW1s0Xdrbqdnk0rLLClZmJw019TRlL9e2Y4zSbDMWU4lVXV2K6VqvG48zvz8Y5DXq66kB6U5fOxBzcXRUtVAX887a8dfNN3DmDD/f1cX7ymTl556jABocVOXlriFhK4eRkdDiHBL7qKkpM484z+CF+C8DiBqG0QbgDoCvAfi3+gdM02yTvw3D+GsA/2Il/J2CxPLFM9zUxMOSg5c6bInxStmsE1j793V18dC2tlQXYIDEtLioSnwLC8kYBgcfzDw7q3PTzX63Rhn8fvpCJieJmF5bdtmB1fdQVUUiamvzVjegg84YrXb1F7/IvdU1A7smJ6EQnz+dVolaEk1wgnCYzFNPAjKM7Z165bNeNLvCQjID3S8nGaRZ8cLKYZqb6YD64ANVjCKxYulZtgeQlfhN00wbhvGnoBffB+C7pmleMwzjm/ff3zM7Px7PzCcHSIxVVfxfylk7OlRl2ugo89SdQHLU43Hua2EhD0gfrgnwkF9+mZ+RZJ1QSE1W2uuEDr3l9tYWw4XiS2hqykRaa5Th7Fk6pS5eJE6JUwzwPndPwCqxa2q4v7thfnb+rWxMVRjc008DP/0pibeoiK/L+HanZ7Oai5IHoHfqFciW1OWm2emamHSUtt1nK4cJhSh5amuVPXTsGKV/LJbbDPocwFOc3zTNnwD4ieU1W6I3TfN/3f2yCLEYN1JvWCm94iSUJqmei4tURdva1Ngz5+dx/x/gYTU2qpbcAvmu1nLyLAt+TE3R5CgpIbILw1tdde72m0iQmB55hCZCMkntSQZ05OpQtkP43fSncLKr3ZiqMLhAAHjhBdrusi9f+AK1P6uzXJjJwgJxZWlJzfjr6Mjs1Gt91p2m6npy3NtxmFQK+MpXMhM4Uinlxd0DeKgz/KRNlGlSxZP4ammp4tj19Zkqn7Xoxkpci4v8/JEj6jNOTsK9rtZyQxTBD93Zu75OpN3YyHS4WXFJ73Mv0Qo9OxDYWZJLvmAnMXf9LCSdW7oTSTTD2mH4/HkVd29vpyn0yCOZ3XqsA0i81l04gadkIjsOI6EdcWBIIcUehvseauKXuvBYjFK9vJzce26OZbuhkHN/+95elZQSjaoDlxg1oOK9FRX2iLfXk5OyIUpPD23VsTGaJ+3tqsBHb9hpxSW9zz1APJI059JSZcLsVotxy0txe28nTNXuLKamqBVeusQzbWlRzzw7q6JngCr1np5WjUZ1/444Vr3UXbiBU2bm9oQxizplbVt0+DAPW0o39wAe6k4+0SjVW+kOu7amKvAMwz6uPjlJKbe2xsQLv59OssVFSojFRf4v/eb7+4lEdojnpXuQG7i1+wbccwbk/p/+NJ1hjz6qUmM7Oojodmt9/nna/Hq0QgZcCDPt7+fru9Fi3OLhbu8B289NBmdKPwC70Lb1LFZX+d3iYhL+0pJ6LoDEbw291dfzs3o+gs6AJyZU3P6nP2W4fXPTe35EPE6t63vfA/72b+lvmZjgsxUXu3Q2ki9Go6pJYSxG1W0Pk3weaskfifD5QyE6/QCqbY8+qgpHrNpTZSXNpUBA9exbXVWhoCNH6FQdGCBH3twkQ/iTP3Few07UYi+2ny4BrSFFCUFFo/y7rS1T+3AzA+1m0+sRkJIS4lpr6861GDetRf530mj0c7t9mwSia2dO0lY/i95edc4tLSR8KSMWDclL3H1sjPu5vEyckLi9zFyU+oVsOCD5/TpR37xJid/UpHpK2poB+maKDSue5T1s/vlQEz/Ag62r46RWAUlvBbYT54ULSppKHr0+yhtQ7ZgAcmRJvc0neLH9hEjtwzYCQgAAIABJREFUQoo6AXR2ZqazPvaYexq4Tlwym/74cb6nV9Dtxpy0qreJBAlJzIu6Oq7VycTQz02KhUZGVJfjbL4Ia4Sjq4v3v3OHdRotLWoEm/Q8sJps8TjflzTfuTnuj4STCwoYPdLNEyeIxahxHjrEZ793j/8nEswBsEsYc9xM2w/lHx564s/V7talqSTxSJbb6io7sXR2KqmQSinVLp+OLy/nKQTgFFKUjkCDg9RYTp6kifLjH2e2mbaTlDpx6S3P5doy1nqnYNVa+vuV09owSITCdKXphZ2Jka8ux6EQJX5jIyW3DHKNxViFJz4U/Zn1jkurq/xeQYGaHQiQaSwv269B92vcuME1Nzby+cvLKWB8vsymsYCNBvIh9QF76Ik/19CLziykH5+ouI88opp7ZIv37ha8qPTyfG4hRasGMTenOvbYzeZz2498OS3jcTWvTwqJDIPOtJYWMtNf/Yp97goLgZ//nOO0vva17dfSuxwD/L266q3LsdM8Q32/JOXbjtnpHZeuX+eeysyGlRU+m2RJ2u2Bni9y965q9Z5Oq/Zi4TDX5Jr5t9eeZQd4qB1+ArozS7f53Obmra6ywUMgAPybf8MptmVl9OJubZEgi4q4v9nGTO0ExKk1OcnU7cVFpdK/+iqTTmT90uJLB2H8Vqeg5Na7zebTYbdOSyuIL6O4WJlily7xGerq+Prt2ySIpSXu9fQ0JeN//+98bv28Kir4mVSKDDmV4v9euxxbn8s03Z2oOgiDBnjPxx6jtnbokIq6bWzYz2fo66OZ4vPxOpJkdvGi6mwcjxMHnnkmy/7n+5A8wkMv+a3gxZEWifDgzp3bbq9JHYBTk4h8lVU7qfQApcz8vErAmZ9XCTjWNVk7Ee0kt94trXa3cWyZkwhw/Tdvcu1bW6p6T8aHmeb29OTmZpoHeoOQhgb3FG275xLIRYOWUWzDw1TTa2rUvmxskHGfPm0fbRsY4OdEY6mupgYn1X5S/djaSk0gq0mZr6KQHGBfSH4drCWmTqWfTmE0cXRZmSxAqfTtb9NR5PfvfOCEgKj0zz6rClakr72oyuLgray0Z/zV1QwV/fKX1CCKisgspIOthMy8JIFlC8F5Abt9jUZp0lRV8VpLS9S8JH+irk7NF7CWF0ejlJ5tbQxRtrXtbrydU1m1XemuRNeKisggZG6jVHuur+fWF9E06Zv5+tf5c/YsGeJDOqR3/0l+LzPT///2viy2ruNM8yvey03cN5G0REokTdmkJduy6DhOlMROvCaA0+nkIY6R7gm6ESRIBvPSQAbz0DPAYIDMW3ejkw6CIAimgU6A9HSnM0AyhjVJJ2nEi8jIi0QtFElxkUiREvd9q3n4+Lvqnlvn3LrkJX3Zuj8giLw895w6VfXXv39/Tw/huzc2GBbs6DAJQXaBhpAwxdCQ2ajnz1MKLS9TAqQDg21TUBKNj5vMRTvJyOXgsjeo3ZDy7FmqnO+8Y/L2fcaWCSirsOYdHR2mbn9x0WD7i4YyPc13Li5OrFXZbTptkHzvZ8/Fww+T0QXV+cEHqbVsbSViOdrU2UkhoZTBM9zcTM6/SNtvt4+IPgeO+SsryUCuBpgSax0a4iIMDlJazs5ygWMxtw/FrqATb/itW/yso2N3ZdXBLrcjI3zOI4+YhJvWVrea6wr/jo2R6c+cMbDXYRs0SJmIKAmO3YULnE9JQ6+q4t8EeffKFR5WCwumIUpNDcfY08Pwl1CmNV6f+7lKu2/fNmCrKysmSuE6HM+cMSAhMzP055w+zf3oVdbron1G9DlwzB+PA//yL5zsujpuLqnkk1irFAIVFzOUNDZG9StMeku998QET/7FRS7i5iZV47q6nZdV25LowgWqtWtrfJ5IjL4+hqVc4woyazBtNR3p7RuBSEXj45TqsZiRfPb8PPss7/XWWybkV1Ji4uaSbSloPnvs10ogEaxXrtC8kiQy8a8UFLihuYNUXc33DAppYBdaTCZUszToQDH/1BQhttvaTBus+XmGkaR6a33dzFlpKSX3zAxt77BFyMujNKquNg642Vl6fZeX+bzd5FzIASDMPDdHxrt1i4fX1paJOdtjdDmvXGmrvmPzTSqKor4+Ms3p04kty+/cMSnFwhjPPgv89Kf8zvw83/XmTTKV4PTtA1Td+5Sqn2NrK+fILhSLUtvDNIwd8+k+J/scKIdfXx+l3pEjdKx0dZG55SCQ3PXeXqbwXr/OeUsVypNsv5ISw+gLCwYX3/YX7IaEmaWZpqA1tbe7nW8u55Vv2iqQXFsAGCSk69cphWMxE/3wyWEXHDtXt2PXGCSOL5DeJSX8WQ61nWIL7oRswVpZyf1TXk6Vv7CQiMMSk0/XmZoRkg0iWVOvv87TyZVokAE6UMyfauPV1lKNnZ42HWTffZdqXNQCas3Tv6DAhKE+9jE6/wQcMxObwGZmybnXmv4JFyO4wr++GzTMsy9azalTBrX44kVqTD5eaZnn5WUTmxecftf8KEWbf2GB10rXHtEaIkEuM0xhbcYffJDz3Nb2gYTbDbW300bt7uaCFRSYXmV7AOSZ9Wq/jRl/4QKZc32dkrOmJnHj9fXREz40xA0HMHuvqSl6AaU3nO2YGRvz73LrS66ce7sM1aXhuVTLMLioYDejw4eTzcff/IY+DKX4T+LUvoAxUmjU2pqI0//xj7ud1FrTz7GywufF4zSnRNuK0qh24vjebSlxlLMwE474yHtUV3Nxp6cN6khXV7jXcZeU1cwv0mtzkx7tmRkytbTaamigZH7pJc6bpGs2NjLGCqTuqAu4syvT7XLrS7K5xO7u7U2NIx92D5vCAGElZ17ebWyMc3PpEj8rKuIc3bnjp9nYB1h+Ps2u2lquj8tJXV7OcdTUUJO6coV/v3OHuQvS4CNIO3F8p/rObrJoM+GId4GyvvYa7/F+PoHWpgRQyGcT74CyWu0XG21oyAA3SDnv2hp//9M/NVWPdrqmUCrJ8uabjOnH45RO+6HuheHIj43t3LQIJj/V1dFUtFFtpUeh+DIKCmgCpFvhF0y3vnMnPPGqvJzrdfUqD7vKSj5PfBdSuBTUan2TudL5zm6yaH3Gkwq/IQjKGotRO+vvt65PdxPvgrJa8ovzc3DQNKMsKCCjSntte+HSOdldJ/ni4s6ZPh2VsK+PGkptrUmUKS/3i9WHkQsQ9r336AOx0XClR2FJCU0i6f6rNTdtMGSVCtpqaoqgFXl5fAe7hPfGDWpt4qSdmCCUVn09QUok3dkFoybvIyHJ+XlGb0pKUuP82RRVSryb+ZV7C87E8HBqXAIblFVC0VqbXot9fcAT+1jkk9XM7zoE19bC66vTyRbbaUjVxeRAeiqhbAJptAHsXrNzlbi2tbn9FrbPIC/PxOplr732mqk1iIK2kvcuLOR9JGlJkmPm5nhIFxayym9zk88oLSWzlJeHw4lJMtfAAJmkooLzJr6v4Ly6WqNnKkrjml+A4xsZofSWKr6BgURTy95Pcg8pzgIcTVUynfIYQVnN/HIINjZS9Rc4L+m77nJQiW0nDOqKnwM7C6mG2X3BMtKNjcSGkz7x+91u0lR+izDNRJjXPgRtsM+LF8Nbisv1jY10JG5tmfTdzk6zqQcHDQyZJGUdOsQD48kn3e8ubbftZCitzdq60rODrdHb2sKzOjMxv7K3XKhRrkPN7lokuAeSR5IwB/tU5JPVNr/MwalTlBZ5eWT8oiJWS505k/wd3+KVnZhWYXbf5csmhCQhWukD6Bu/jwrXhdmQrrmy7dkTJzjmn/6UuHJSfBPsPxcs1FlfN+3A5+c530VFpoxYwnOSVCXp1DKngsHf3Gwk3cYGbVtRd0VLGBtzv7tU/EkVo5RfuwplZF0aG7lXyss5rokJPzPOZ55d83v0KMcDJKJGyTyFRRJaWxkl2dyk6SVNVd6fg3QWfheU1ZIf4IQ99xwdoD42dU+P6QgrXnRXam7wJB8f5zVih/pqC+vrtPukbHd+3oTPpOEkkPh8H81uJ97lYOmufD9MJe3udqvKdivwVC3F7U44Ev/f3DTRA5F0Q0O8vqiIh7YkX01MhEdVmpoSUYgAUzSUal0KC1MDggTnKdU8uwRyGGpUWPdl134uLbXW3w5x3bnDxfn97xkSyTCeX9Yzv5CPJmSrfwIJdfEiT9dgxyObAX1BJIMVbWLzNTRwI8/N0ZnzwANUN6MaToaF61LF6X3DvbaW4gIy7e2lHV5fz3GXlJjuPnl5/F/alJ87x++ePk1JbavSUZ1w5B1jMe5fyWuIxzlfn/qUAWJ1ka/vy16Xixd5EBUW0gyx19Fl+uwmnd4eX3k5JXpfH5lZWr/5HNRJC7e5aZwd9fUc8M9/ztBWBm3/A8P8Pt70nh7TbruqivNWXByewGIvQH19+AawE42uXjVdWWdmTE/F48dNddf4OMNgroaTYe/hG6f3dQra0tBWSW/dohp99arpTxiL8bARZ+pTT3HMk5PUDuJxXie5Fi+/bOZe0oUFiCPYCUckHcDrNjb4HmEdc1zrk8r3JUw4NMR3BJKr8uSaoIRfWDB4fUK+81xdnQyuumsBPTPDDWw3FqyspJ2Q4USfA8H8PpqQXNPQwI28sEDmOXKEP0fFz6MaLdiNP44f5wYbGOAmW19nimw8znucPEk78Nw5Mor0AqyqYpFLlIoZlEDSuPXyZdOsJB7331hhQKYLCybZ5/hxSiw5LO+7j2q2SP233+bnra3G6XbzJgFEH3iAz2hrM1WGUdK5qyv8uqgD0cfUk0Pi2jUTcgxW5YVJ+LGxnTtfBW9BwFWjyqu9Q8GVldzg0nkW4MSLlzuDlNUOPyFbE1pf57zE49SExBfS3U0GEVy1vDzTSz2V0yfo/JudNY0Wgo0/CgvJ8A0NdC6JN1rsy+Xl5FCkJGsFkzzefZeHSU9PsuOtqYnP/sMfEtO8h4cT8f/CfEG2U1FU0o0NSnuByhLBIgg7NgmopUBVKcU1EEYSx6E491IlzoQl2ABuB60kvviiDlVXM7LyyCPuNt9hyE527cbMDBO+fvtbznXYs+QQ//u/N/6lqEQk2wktmX3f/W4yzv/7CxeLcTACari8TObPcKLPgZD8qTQhUelE6m9tcd6OHycDpep4FNXrThhA7OWyMi7i/DzDWUEnT18fgSrsslD5XPwEly7xns3NprXYhz6UHKcvKOCaS5r3iRNGoxD8P5dvQqSMAIiWlfFZAmW9usq/Xb3KTRuLmUYVoiFJay+bbt8m0wKJDShcDTbDJF3wOtGEghgD//ZvDAOmY4tH+QiCWIjyjk1N/F53N79bV8fn5ueHz62MWSI6ktsQlrMQPPSlmrO/3+D7JeT3v/QSJdvt29wAjY27wzYLoQMh+SsrucHEngMSNaG+Pi5aaSlVsNJSTqqP1AeSpZLd6y4YwmlqMuAftkQtKeH3m5p4CNlVmQMDPERGRvhzdTXXsr+fG1Daj9lov7/+tckTePJJbq7Z2WT8v7AU09VVHn4yH8J8ohEcO2acm4BB4+noMJLw7Fm+q1TvSb2JbSO7qvLSwQoUiSzztbZGxpiY4PzYzVZSVQBGpe9GhVdlf9TVcW5HR5OxBoVs86G83BRHiSPVZTLIO0oDXvkX9gy0tdG597GPGTTTPcg395L8SqkXAPw1gBiAH2itvx34+ysAvrX96wKAr2ut38nUICXhQ6SIeJUbG41K195uTtXWVv59YsK/z6EtlaTKD0gO4cTjZBzBzpfmEPa6uDLT+vvJyNeu8XPJ6R8eZovpjQ1KdrtXo1LcGNKOfH7etJASCuIX/uxn/N8O3QFGYtpOtPZ2HgyCD1BaSgZvajI2++amyQcQPPuFBc5JWDFSOh50MblsxpC1ldoEl+NU3tdHu7DXN6wa8s03aU6mihLZ7b2UonkgAC1jY7z/0aO8VsYj7zg+zvtJAtbRoxHOxX1I9EnJ/EqpGIDvAHgWwCiA80qpn2ute63LBgF8Qms9rZR6EcD3AWRs5FGaUG0tmX5qitJrbc3YVjs9LMNCOCLdBaYq7LuuzLSqKuOBHh3l5ikp4WbPzyfj3blDjUOYZXaW6ui1a6ayc2Ym8UAThpANPDVFybm6atTRYBdi2Ve2BzzYB1De75lnjMki8FtVVaYY6fhxXmNTOtmTMobJSY5bTNzHHqM9HaxNsCHWd5MHYZNojqJ9SautmzcZjhQKtveSMuX5ec6HHKjBcHF7O53Aw8MmDCmZiOPjETDlewzm6SP5PwTgutZ6AACUUj8B8FkA7zO/1vr31vVvADiasRFuk2hC9lxIKamkdWpNSSVpna4MQB+STdLdTecMwE3nA+NcXW16x9vhr+FhMvdjj3GMUtQh0vTkSTqbbKapqOAzL14k47S1GaCSIEPI4VRXx40o9vrICNV0l6/IR0LbDHP4cCJqb1gxUjrpy3J/wU+oqzOeesFVdIX5Mgl3J5rj+fMMhUpashwCUksgzC3tvQSbcGOD/QuCadL2eCRqcv06tbeODn4vDL9xP8A8fZj/CACrMBSjiJbqfwbgl64/KKW+CuCrANAcxDj2oODJbTuLxKaanIzOGkuHNjeZH7C+zkV64w0+v6sr+t7NzcmZabW1hnEfeoj3m5xMvF+QaWZnjT3oAojMy+Mhd/486+RPnjRmCsDNODFh7Hm7ak/wD3wldDrFSOkWplVXc71sLUQgy6JAV2Xs4iiUBqTpCkgx88rK+Pz1da7T6dPUMIWB7fZeIyPmcC8t5XPFdxGsQmxvp8+noIBrL5ET+a5zrPsA5unD/MrxmXZeqNTTIPOfdf1da/190CRAV1eX8x5h5NKAgp1a7bjubhnf5aGtr+epPzNDZtracmtjYUU2L71E6b+8zI0VTPCxcwqKi8Or6STxyGaWwkJe39VFJhsZIeMXFiZX7b35Jv0L6VTBpZLmwfU5cYLv6luYlm4xm29Wnw/Jei0vUyKvrvLnzs7Ew1ApaoOSOt7ZaRKgALevZ3SUe1IqH6WYRxKQ5LtJtA9gnj7MPwqgyfr9KIBbwYuUUg8D+AGAF7XWGYUdCdOA4vG9a24aVnt965aJAYeF22Qj9/QYs6GjgwdGMEnHfrfjx8mkb79NxszPZzKNq697UDCcOJHoH2hpoZoeixn1FOD/c3PAj3/Md7p+nSr3zZuJvQ2CzCwm1txcYgORl15yr8+1a6lRd3yddS7yyerzvVeU6SG1BDYAi2gKQZ+Hy9dTXMzvnjhhDqnNTWphZWXmIJe1lfl4MK8SFXu1ubfJJ9R3HkC7UqpFKVUA4IsAfm5foJRqBvBPAL6stb6WsdFtU1g1nR2yyTTaql17bW8u2QypEjsAXnP6NPDRj/IeUegu8m6HDhnAkq4u/nzxItVJO9QlFXUSThSNYXU1dePKGzdYz1BebkA8+/sptcISb8S30tdn4MMFhae7270+Yag7mWgbJgy7umqSoOxYe6pkOBey8R/9EdXylpZk4Na+PpoAXV2cr7W1RJ9HWBViQQHXSXoDrK0xv2JpiSHcwkI6A197LXE+zk+3Y25sjzb3NqWU/FrrDaXUNwG8Cob6fqi1vqSU+tr2378H4C8B1AD4rmI624bW2jPIlprCNCBpceWrKtrSJgqdBkiuvV5aotNOmO6o5dKMSuxIZbIF3016+U1MRDvulKJmUVVlwlOSYCS59IBbXb96lYws9+7spAQTZCTbl2KPXToFBavsLlzgAWdTlIbqmpu5OYYpy8v5syQmRdnvktUX9K9EQZlL5EIOy6BnPmw/+fg8pApRnKK9vVT7Dx/m3ysqaOM/9BDf0zaZAOZkvD/fDdW4tvIEugo9N/cOyCvOr7X+BYBfBD77nvXznwP484yNKkBR9mYqVdG14FH2dFB1j8eZcDM3R1VQGmWWl/OED7OTfU224LtJLL+lxcSYxXF3+LBxmimXJ8bxucv/IIk0YRQ29rExmgbBz4H0zK/g/WdnqXmIypuXZ0qjb9zgAWcf0kDiIT48bDAI7FoKm2zTxE7ZlvFHga8AfhEMaVU2NMTPCwr4DpOTpmvU5CTH2GQZ0oKdEJzXu8t7G+s/EOm9O4E1m5pKTNnc2DALHouFo9PYc11dbTaRpGKKY0ygqFpb3WMJOofCEmKC7xaM5YvjTg4j2ZRbWzy4RkeN1/nMmeQcfZcj7bnn+D7Ly8Y+tZGRwja6oCYHP+/s5Bz4rk/w/iMjZGKB+ZJEn6Eh3sduZ37uHA+CxkYeIILDUFdHZpO5D1JYifPly3xuUVF0FyGfPVhdnYy8/fGP89qJCTJ9dbUpORey8RPsed0DzM4EOhDMH9zAgv9+/rxbZXd13X3nHUqteJxq7yOP8FpJHxWp7HJEbW0loinPzpLxb96kI88FxJHKORT2bq2tJiR46JBx3LmwBVZXeahIaKmvj98Pmz+h9nYeEnaTSRsZSZJSpqaMNK2uNuCfMl826ClgsBEkByAMQi3ISCINS0qMf6WoiOt04gQZSXwJQRX57l1WbpaXG0YMAoIGQUaVMnH6q1fpVAXCwVdc6xSmhc/N8b4LC+YzwXt4/nmzN+1mntXVxqzfY8zOBDoQzA+YyQ+GuFzedjtMV1HBxa6sJJN0dPAaFzqNUn5RhYoKMllHR3jGmIxPmKWxMRydN8iccgClqmE/d45qsaiYUQCXwee5mkza39GBQKxkKUYxgDT0qK8PXxv7feU+Ig3v3uW6FBcndmWy05lFRZZ4umh2S0uGWYIpz0GQ0bk5/q201Ph9VlaiwVfscYfR1BTHZGcAurowS2UfwD0kAsHXd5UpOjDML+TjSLOdM729VOsASpjGRkpgAak8c8Y4UuNx973Fyw/4ncwjI9QKDh2ihrGywu/YRSpR5BPyEhVzampnzV2iniGebZGuQKI0jfqeb16KFNv09ZEZ+/oMPt/KCrUtAUyx05nz8zkWCZsdPsy1nJ93+2BkTHaorabG4ArW1PBZrjLgdMmVAWh3YbYF10c/avaRzMc+YHYm0IFjfh88d4F9npvjBJeWUkWOxfg9AaKQ3nGCoXb+vLvmO92owtgYTQ45TOrrKXVE4mSKguYIkJnmLjvNL3E58oaHOW+XLiV68AHDCC0tBnFJ1qWsjD8H05mrqzmOggIyl6z18eM86ONxU2IsBUkiCCT5aW6O1335y2YcrpTpMArLUQjLAJRDMFXR1X7TgWN+WewoPHcpriktJWS0VGJ1dNDuD3qC7Xu7HFp5ebTZL1/mZ52d4eObmiLzr68blNreXm4KQXrdDQVx/tbXzWYLQ/tJtz7ENzc/eN+8PPM9KdFdWuJ1Ei5tbzcefLuO/+5damhaJ6b0Bk2gZ57hcxYW+L2qKuCFF+j4fOstSli7Hj8WM2OSLFBJ5hGfUTrZiFEp9zJv8pzZWZp9t25xfPPzPKSiiq72k7Ke+V2ZZqnw3KW45vZterUBxlalmCKMXB5dgZYeHuaiSfba8DDwuc8lb5K+Pkq3lRUu/uKiqQb0KWewQ5PBeDeQuPHW1wl6UVxMFdll9++kPsTHs+267/S08cRLF+KRkUQv/p07/L2/n1EHOSREhZ+YSByfSx12ofqOj5PxH3888VoBLpF3GR8nOtJjj/lnI9oUZdrY87a+bsLJ5eWmM49Un46NcY7uvz/joLzelNVgHq5MsGvXeAikwnOvqOBGy8/nJrx5k2i1YfFxwA0GIaGbqSnD/LdvA7/8JfCrXyXfQyrE8vKIiXfqFNVakXo+7zs5yfEuLlJqTE7y856exEw6wXmQ2H1hIc2AhgaTXReWHRmWfRc2D0HmcN23oYHzVVjI8Yujrq6OnxUWkvErK/lOwTr+1VVem2p8tbWci1//mrUJY2PuRqOHDpk+hPIuExNk/MZG//mw1+eNNxg5kqxLeY6NVixtz8vLjb+ispKH1rVr1CAFGer8eQNbtt+U1ZI/7JTVmqdlMNPMVkvn53my1tRQ/V9YINOeOhX9zKCkefVVMmA8zg1bUMB73r1LLL1PftIdghP7cnbWH1tA3ndwMDHeffcuDxBXJl1BAbWcJ580n9l2/07t91QOqFRZl4BRb4XsVmt1dVyzYB1/W1v0+AQ0s73d1BhMT1OrC8bLXYlgr766s/lwRQ3s1mSy9+RZtq9B0KDkd6UYYtSa8zA1BfzkJ8DXv773Hn6bslryh4Eu2k0RwtKeR0dNp5/FRf5/6hQ/T4cqK7nQU1NktIIC4yQsLEyWGAIXJaW7Dz/MGLoPopC8r11PIPBhdiadTfn5ZiO+/jr/Hx83mzEITir32G0CSar7yjw0NhrgipUVzsu77/KaWIzzOTGRmJsfNT45IKU7z9NPM2Lj2hNjYzx8bbBT17jHx6mpRIGi2lEDCUMWFfEgkr1n1wvcvMn7ApT4y8tcX1nXeJy+I0mzHhigX2k/Kaslf5jjSWzgVN73kpLE+OrSUjIsUyqS/O+BAYOQs7REle6BB6hdAInOtGBk4MgRP4ebvK9ICol3S7bg4iLVXTsnPT/faCTiZBoaAl55xYw/3exIoShHYar72unR4swrKKAWJZB0+fkmCUu85GGdboR86zwWFvhzURHNhPV1U11nJyq5fABBn0gwSai5mfMs+AF2MZTtj5H7NjQYNKiaGlZt3n9/Yp3G4cM0B6QuY49BfABkueT37Wnnos7ORPBJOXk7O9PvgffFL/L0npujlG1ooBpeU0NNIlidBnBDPP64KZ+9cIGMEFXBJu9rO9AmJ/lvbs5AQkkmnQCGnj1rCmLKy7nh7twx4xc79MYNlvAKY0S9d6rKOx+/gCQT/cVfAH/8x2TCU6eY8lpZaSS4+AmioL+FwjQOwTuUfP/Ll3kY1teTEQcGTN+HdHwAtrov1XzDw5z3Rx5hLYCg/AT9MY89ZpCI6uqIRPW1rxkYNCn+GRxMFHCZqHr0IaWDqVz7RF1dXbrbQ8+xT0CxlwQkwZaAkmZqn9avvUYGsgs+urpMf/pgimrUydrfnwiuWVtrPLxBmO7CwsQe3Fk1AAAT7ElEQVR68zAQB5dNHfT2j49zXCdOmLiwPOOJJ4wN64r1P/984n1deH1h7y2bL+hXCRu3D/mONYpc7zE+bqIMhw5RSzp/nmstTsflZe6BxsbEZ8mY5uYS80ZKS4EvfMHMgw0aIvBrx46Z+Uvn3X70I+Af/9HkKRQXc24/8xng85/nvpVaErsuxHfulVI9PlW1Wa32A+60Xp9e6GEprEGEHomNx+Ph8X/AYAj29PC0np3lhgpi24vzyJViDHCDPfRQuINJ3jfooLI3le2g8o3Jd3eHNzCVeQlDSXI9dycULHaqqCDjrq76q7auHHvRHGQONjaoRg8Pc64BMtrt2ya9WyiYNxKLMYKwsGBySFpakpOERN2X8aaDW3jkCA8mOVTicc51eXl6/SZ3S1nP/EJhVVlhvdABt8d6eJiboKeHCyjFHENDBqAzyt4SgA6RMAKd5eoQU1OTaL8XFfHQ8HG4yRiuXDHttl3pp+nE5EtL+fzr1+l0O3uW7zM1lZwHsLhIdTRVVaIvBYudpqbY4665mfD0YdV0LnJFZGzHcFkZmefaNVO5ODPj7nthoy1vbNBcUIrJYVL5KHkUkryzuMg1FUEAMOKyuWl8F1G+la0tvrMk/pSV8fsC6Cmw7dITAODnrn6Tu6EDw/xhjScl1urLUKOj3PxLSyYpBuCC9PTwALAdN+Pj3BxHj3Kh7M65QeisIJru0lIioKbWphd7lMPNNjGKikyq8pkzJrc96FiLcn729XFDCnpPdTXf5dw5Oi0ffTQZWOPqVT4rVVVi1FwHbXAJ9a2v0xsuSVv2uu0k1TUodZuaeMDffz/f4fZtAzkWPFgkIUzqBUpLeSBJ5qFoReXliWbG/LyZb1mzmhr+vrwcnSloh4MBkwkovSKam00TkKIi7pvJyYw37Dk4zG8vsG8v9CCJivu735EJFxa40ScnKQV7e40mIIs/MGAYdmSEKqGk6jY1JUJr2wtuY+KHofW6aGqKjB+PkzFWVkwn3YsX6WAKbiqXhmMz35UryYARBQW8Rhp32rUSt2+TaZ58MjVMt2v8No5CQwM39tWr5vBaXubfGhsT6x18zYowfEG5h6jRi4s8ZBobWY4clkknaMui6ot/pqyM45c1sM2MqSn+L5JZKQPXlerwCssEPHOG79XXR8EyO5tenki6dGCYfze90GWznDtHe0tCPLEY77W+TjVYVEc5RCT7zG5tvbXFjbG2xvEI3l7QPLAlssSxH3wwEcTBRX19iR17iov5szirfKRiMPW2sJDvJ624BMnm9Gky329+Q22ospKMYLdGk7lIVTBkM/3kJKX93bu898mT1JhGRw3wx9WrNLVqa6MRkcKeUVdnMAulWajk5+flkXHb2420DuueCyRDtgnzt7UZ7S1oZqyvJ9r3Ylr4NNK198aFC9yDYtaJNjk+nqhN+naeSocODPMH1VtXmywX2Yxw5AilmNhxhw/zVL99mxumuTkRAnt+3jhdFhf599FRLnB9PTewNAK9cIGb+ZlnEsc0O0uVt66On6eybWdmjMQXqRLmrAojF7LvxYs8wE6fNu3OpDpSQk2inivF94tqleWa46EhHsbd3Ryz9DG8cIHf7e01lXeFhTzQDh2iNiWNVsK0NxdAy6VLvL6kJLFZqITmfEqLAbO3YjFzsDz0kNH4jhzh53YBU35+4hqtrBgzyYdcmYBAcqOWvaztz+o4f5BkwqR4Q/Kio+KfNiM0N1OClZebXnm3bpm867o6MgpASVFaanIFRIoePcrvS8VaTQ03RyzGOLpEL2WzDgxws8Zipq3Y0BDbO7vGLmqspLtqbWrc5+b8chOCmZEVFWw7Ja2o8vPJmOPjjFU3NfFd19f5/7FjBnvOJ7/CjmzMzhq/wTvv8HAcHKRNfOwYnzE6ync7e5bazPo6taMo1dZ+ht3scmQkGa03LDM0VZPP554DvvENHpAbGwaH4R/+ITFPY3qaczg9zb9LToaYez4k++PKFe4ZG+shP5/m3fPP7426L3SgmB9IPwHC3ggCnywNEltbGcY5edLkDMjJu7pquv22tpKBxXn11FPceM3NLN4R9byy0pT9ujbr1hb9DdLa2TV2ac/e2mqcVbOzZJLCQr93diXC1NQwbm03fj161PgvjhxhKnJHB8fd1mZq58MSb2Qtzp3jIQcwpXZjw/xbXeW8LS2R+cvL+X9zswHReOopPj9qk8s6irMXMKnPQa1kNynNtoDZ3OQBaB/eGxvG33P6tDmkH300WesLI3sPnzzJg7K7m++4BwjdoXRg1H6hdNBigGRPsDhkqqvJ5AMDps+fIKrKySv5BX19XODpaS5KebnxzNpoNza5Qn3T09xQSoXjxdnmTX4+D5erV/ndwcFEEIieHt4nGJIMC/+5GDgsIhHVKgtwm1MLC6aS8vBhU9IsHv2tLR6oZWW8//y8GUMqxpR19Ime7CalWShVnsbyMjWFqNyQVPeW9ZfEszCH7l5R1jN/MOOtv5+L29xsmCDKS1xbm5yZZ7fOkrbUwtRSEBLsbWcfBHfvmkKOlRWqzzMz3ChPP83nujbrzIyp1GtrSwQCBQzzBhObVlf5jleuMMf8oYfIcJcuMVXWlZPugzyUbkQiCCQiYc/mZhMmk1bi0u5qbY2mVVUVNYuFBRMbB2i6yTOjsAftsTY1cR7EKXbiRDRG4E7s5t3maQTnK4j4E2zI2tXFse4nok9WM79s/s1NbjZBipG4d6oqsKkpk8wj0Fr19cDLL5P52tqSmVpScYO97WymAqgW/vM/0xaMxUy/POln72KslRUyysmTZJBXX6VaX1jI5924kdj+WyREcTEZX2L0t27x95aWcA3IFwdQmCTYP9CeQzl87UYX771nqg3FnBoepi/lwx82CLZ37phIweQk7ymq7d27PBA+8hGDvBNm48pYu7t50LS0UPLm57s9+bvFxEtH03CRD+KPTzbgXlJWM7+rvv3YMW6ylhaDmz8+7u5C291tIKME6urKFeA732EM2+4Ik66nuLqaG2N9PTkLzga6tBnr2We5UZeWCAZy6xbfqaGBB9PCgklLBoyE0NqondI0ZHk5ucnjTtJvw5gkqu/BoUP8TPLhJfOttZVmyuamQetpbuYzNjZYzQaQ4QsLDXKuqxdh2FgrKhizt1uFS3q2xMkzUQnnOrwlouDTqt0X8UfCzn19xuzciwo+F2U188vml5AbYBxeZWXUBu67z3RBDUrq7m5+d2SEm7migsx644bxaE9NGWkTLN0U+zqMqbSOBtB0MVZVFYEcpeAHMHH3/n5qKOXl3AC24+rBB+kRl25B99+fCG8N7F56iJQfHqZHfmsrse9BWxvfTQ7f+XmuhQ18Ke/7s59xriVsVlFBFR+g1vT666lTtF1q88wM50oaqFZU8CD81a84Nw0NmWln76MVRVFUbYR978HB5CK13Yw7Hcpq5g+rb5eSWol7B7vQAlT3h4b43dVVMtrgoEFTlYVoaUk8jQWpZXqaG76+nhusri4x1mszZzrqW3U1mbe4OLFWQWCv6uqMN19qz+NxAwtWVUWVc2mJ415cJJPZkikVbr+LXIVTvb2U0mVlnJe33uJ7K2UaUJaVue1qiR7YB6OdZZgqRTtMbY7F+K4SQQH4jK0tfkey+Hw0ibB58NEeUl0neyOooUhTFVsw1Nf7O7AzSVkd6nPVt0tsXcIhYTHd3l4yz/q6sU3X1niP++5LRMiZmUlEarl7lwdFXh7/Nj5uHFN2qK22dmd4A3NzJr69vs7vKMX/W1vNoSDM3NpK38Dmpkk+EaflygprDwDT9XUntd+uwqmqKgNWUljI97ahuIqLWRvgike7wm35+QZqy0a3EbQle+7CsAeVMvkHgtOwvMyxBlOYfbr12uQbRva5rr2d+6a723QRnpszeJBCO8lJyBRlNfPL6VhXR0lSUkKpOTFhmkgo5Y7pAoy9NjRwk0hIb2HBZPaVlSVW4YnzSoo4JF9bni+twoLM6QtEIVRWZlpMbW2ZBiL19UabsUEhg8kn8hzpIf+JT1CVFoAMX0BKm+xNKFK5qYkb+NIlhhuLijjvxcXczGfOJHf2EXIBsYhTbnHRpGjPztL3IUk0QDRQppTSbm0lArhWVoZj+PmSL9ipfd3cHAXFpUsGlx/ge1ZV8T2np6naa82fJZcf2DuYNR/yUvuVUi8A+GuwRfcPtNbfDvxdbf/90wCWAPwHrfUfMjFAu759asr0kBPv/d27nNRjx7jhpOpNAB07Oqh2LS9zIaRssrmZammwCq+khPfr7CQDFBQYn4OrCGUnXuXmZmOvDg5SMlRVcaxh6bRhz0m37j5MXbVNmMpK5uRPT5PBiovJDLW1TAx6/HFT2lpa6n6OK9wmjkz5rKAgUQPq76emIfUaYUCZ7e3UgmxAj6oqoz3tNLbvO5d245go2PGtLY710iX+XlTEffjmm8ZpmImchJ1SSsmvlIoB+A6AFwF0AnhZKRVsW/EigPbtf18F8HcZHicA472PxbgRhocNKCNAJ9LqqolTLy5Scj36KOPvx47x54oKg5wqC2VLKjutt6nJwITbPeN2czpLFt+pU4QI+9KXKPWPH08friwdyRGlrsr7j41xjgVRV5BmPv95qvjSndhnjHIA2GaB/ZlSZKxYjM+JxYh7NzoaDZTpghB79llm2KWrhe1kLuW6VLDjlZWJ/gmp0RcUKHuOdjPunZKP5P8QgOta6wEAUEr9BMBnAVipGvgsgP+liQn2hlKqUinVqLUey+RgL182m7G/n8xYWkob8JlnDMyUTNwTT3DT5OWZJBNh/GBChS2pSkoSE39qaqhltLT4t3SKIleR0iuv+HeNsSkdyZEqO/KJJ4yXXjDt7ruPTLi5aWL5Yd2J06XeXrOeAP+Px2kGPPVUNHJOmCa0GyeZ71zKdalgx9vbCe9eX2+agS4v029j2/S7zUnYKfkw/xEAI9bvowCCQ3VdcwRARpnfJpHQkmYLJKto1dVMOAli0YVJxqCJkQnmDCPXgu+kc0s62Wyp1Nrq6mQvve2RT9WdOBMkCL5AInKOfajvFfnOpVwnbb/q6oz/xe4fIdcNDBjNsa2NB1yYubSf5MP8rh43QTePzzVQSn0VNAvQ7NO7KkCdnXQMKWXw7dfWjOrpYuqd2lSZYs79IF/J4ROazARoii91dDDxRzIqBTRDwo37bQMD/nNZXc3aBxtM1DU/XV3J/on9fJ8o8vH2jwJosn4/CuDWDq6B1vr7WusurXVXnQ2o70lnztBuF3grCfEISIXLBv0gbapsIx8odPsa8cjbTUoyOXddXfRzbG5SK9nc5AH/8ssHY7189lY277+U0N1KqTiAawA+BeAmgPMAvqS1vmRd8xkA3wS9/U8A+But9Yei7usL3R2kIDacxHv3qrHBvzfySWLZj4YRH8Sz7hXyhe72wu1XSn0awF+Bob4faq3/h1LqawCgtf7edqjvbwG8AIb6vqK1juTsnTJ/jnKUo2jKKG6/1voXAH4R+Ox71s8awDfSHWSOcpSjD46yOsMvRznK0d5RjvlzlKN7lHLMn6Mc3aOUY/4c5egepRzz5yhH9yjlmD9HObpHKcf8OcrRPUpeST578mClJgEMeV5eC+DOHg5np5St4wKyd2zZOi7g38/YjmmtU+bPf2DMnw4ppbp9Mpb2m7J1XED2ji1bxwXce2PLqf05ytE9Sjnmz1GO7lE6KMz//Q96ACGUreMCsnds2Tou4B4b24Gw+XOUoxxlng6K5M9RjnKUYcoa5ldKvaCUuqqUuq6U+s+Ovyul1N9s//1dpdRjWTS2V7bH9K5S6vdKqUeyZWzWdY8rpTaVUl/IlnEppZ5SSr2tlLqklPrNfozLZ2xKqQql1P9RSr2zPbav7NO4fqiUmlBKXQz5e2Z5QGv9gf8DQUL6AbQCKADwDoDOwDWfBvBLEC/wwwDezKKxfQRA1fbPL2bT2KzrfgViMnwhG8YFoBJEgG7e/v1wtswZgP8C4H9u/1wHYApAwT6M7eMAHgNwMeTvGeWBbJH878ODa63XAAg8uE3vw4Nrrd8AUKmUasyGsWmtf6+13u67gzdADMP9IJ95A4D/COB/A5jIonF9CcA/aa2HAUBrnU1j0wDKthGqSkHm39jrgWmtf7v9rDDKKA9kC/OHQX+ne81eULrP/TPwdN4PSjk2pdQRAJ8D8D3sH/nM2QkAVUqpf1VK9Sil/iSLxva3ADpAENr3APwnrfXW/gwvkjLKA9nSpTdj8OB7QN7PVUo9DTL/2T0dkfVIx2fBsf0VgG9prTeVcl2+J+QzrjiAMyAwbDGA15VSb2itr2XB2J4H8DaATwJoA/CaUup3Wuu5pG/uL2WUB7KF+TMGD74H5PVcpdTDAH4A4EWtdUinvA9kbF0AfrLN+LUAPq2U2tBa/+wDHtcogDta60UAi0qp3wJ4BESK3kvyGdtXAHxb09C+rpQaBPAggLf2eGypKLM8sB9OFg9HRxzAAIAWGCfMQ4FrPoNEZ8dbWTS2ZgDXAXwk2+YtcP2PsD8OP5856wDw/7avPQTgIoCTWTK2vwPw37Z/rgch62v3aU2PI9zhl1EeyArJr7XeUEp9E8CrMPDgl2x4cNBT/WmQyZbA0zlbxvaXAGoAfHdbwm7ofSgQ8RzbvpPPuLTWl5VS/xfAuwC2wO7PzhDXfo8NwH8H8COl1Hsgo31La73n1X5KqR8DeApArVJqFMB/BZBvjSujPJDL8MtRju5RyhZvf45ylKN9phzz5yhH9yjlmD9HObpHKcf8OcrRPUo55s9Rju5RyjF/jnJ0j1KO+XOUo3uUcsyfoxzdo/T/AUC7Rv8D5vBgAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"np.random.seed(seed=42)\n",
"N = 1000\n",
"x = np.random.uniform(size=N, low=0, high=1)\n",
"y = np.random.uniform(size=N, low=0, high=1)\n",
"\n",
"accept = (x*x+y*y) <= 1\n",
"reject = np.logical_not(accept)\n",
"\n",
"fig, ax = plt.subplots(1)\n",
"ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\n",
"ax.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n",
"ax.set_aspect('equal')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Il est alors aisé d’obtenir une approximation (pas terrible) de $\\pi$ en comptant combien de fois,\n",
"en moyenne, $X^2 + Y^2$ est inférieur à 1 :\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.112"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"4*np.mean(accept)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
...@@ -16,10 +160,9 @@ ...@@ -16,10 +160,9 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.6.3" "version": "3.6.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 2 "nbformat_minor": 2
} }
module2/exo1/travail pratique COVID19.ipynb 0 → 100644
View file @ 8d1813b4
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Travail pratique sur l'épidémiologie du SARS-COV2"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import isoweek"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"x = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\")\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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" <td>1062</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>South Australia</td>\n",
" <td>Australia</td>\n",
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" <td>440</td>\n",
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" <tr>\n",
" <th>13</th>\n",
" <td>Tasmania</td>\n",
" <td>Australia</td>\n",
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" <tr>\n",
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" <td>1687</td>\n",
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" <tr>\n",
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" <td>Western Australia</td>\n",
" <td>Australia</td>\n",
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" </tr>\n",
" <tr>\n",
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" <td>14.550100</td>\n",
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" <tr>\n",
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" <td>45116</td>\n",
" <td>45981</td>\n",
" <td>46868</td>\n",
" <td>47751</td>\n",
" <td>48630</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>NaN</td>\n",
" <td>Belgium</td>\n",
" <td>50.833300</td>\n",
" <td>4.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>58061</td>\n",
" <td>58186</td>\n",
" <td>58381</td>\n",
" <td>58517</td>\n",
" <td>58615</td>\n",
" <td>58685</td>\n",
" <td>58767</td>\n",
" <td>58907</td>\n",
" <td>59072</td>\n",
" <td>59226</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>NaN</td>\n",
" <td>Benin</td>\n",
" <td>9.307700</td>\n",
" <td>2.315800</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>224</td>\n",
" <td>224</td>\n",
" <td>232</td>\n",
" <td>243</td>\n",
" <td>244</td>\n",
" <td>244</td>\n",
" <td>261</td>\n",
" <td>261</td>\n",
" <td>261</td>\n",
" <td>261</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>NaN</td>\n",
" <td>Bhutan</td>\n",
" <td>27.514200</td>\n",
" <td>90.433600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>31</td>\n",
" <td>33</td>\n",
" <td>43</td>\n",
" <td>43</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>48</td>\n",
" <td>48</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>NaN</td>\n",
" <td>Bolivia</td>\n",
" <td>-16.290200</td>\n",
" <td>-63.588700</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>8731</td>\n",
" <td>9592</td>\n",
" <td>9982</td>\n",
" <td>10531</td>\n",
" <td>10991</td>\n",
" <td>11638</td>\n",
" <td>12245</td>\n",
" <td>12728</td>\n",
" <td>13358</td>\n",
" <td>13643</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>NaN</td>\n",
" <td>Bosnia and Herzegovina</td>\n",
" <td>43.915900</td>\n",
" <td>17.679100</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2485</td>\n",
" <td>2494</td>\n",
" <td>2510</td>\n",
" <td>2524</td>\n",
" <td>2535</td>\n",
" <td>2551</td>\n",
" <td>2594</td>\n",
" <td>2606</td>\n",
" <td>2606</td>\n",
" <td>2606</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>NaN</td>\n",
" <td>Brazil</td>\n",
" <td>-14.235000</td>\n",
" <td>-51.925300</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>465166</td>\n",
" <td>498440</td>\n",
" <td>514849</td>\n",
" <td>526447</td>\n",
" <td>555383</td>\n",
" <td>584016</td>\n",
" <td>614941</td>\n",
" <td>645771</td>\n",
" <td>672846</td>\n",
" <td>691758</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>NaN</td>\n",
" <td>Brunei</td>\n",
" <td>4.535300</td>\n",
" <td>114.727700</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>236</th>\n",
" <td>NaN</td>\n",
" <td>Timor-Leste</td>\n",
" <td>-8.874217</td>\n",
" <td>125.727539</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>237</th>\n",
" <td>NaN</td>\n",
" <td>Belize</td>\n",
" <td>13.193900</td>\n",
" <td>-59.543200</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>238</th>\n",
" <td>NaN</td>\n",
" <td>Laos</td>\n",
" <td>19.856270</td>\n",
" <td>102.495496</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>239</th>\n",
" <td>NaN</td>\n",
" <td>Libya</td>\n",
" <td>26.335100</td>\n",
" <td>17.228331</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>118</td>\n",
" <td>130</td>\n",
" <td>156</td>\n",
" <td>168</td>\n",
" <td>182</td>\n",
" <td>196</td>\n",
" <td>209</td>\n",
" <td>239</td>\n",
" <td>256</td>\n",
" <td>256</td>\n",
" </tr>\n",
" <tr>\n",
" <th>240</th>\n",
" <td>NaN</td>\n",
" <td>West Bank and Gaza</td>\n",
" <td>31.952200</td>\n",
" <td>35.233200</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>446</td>\n",
" <td>447</td>\n",
" <td>448</td>\n",
" <td>449</td>\n",
" <td>451</td>\n",
" <td>457</td>\n",
" <td>464</td>\n",
" <td>464</td>\n",
" <td>464</td>\n",
" <td>472</td>\n",
" </tr>\n",
" <tr>\n",
" <th>241</th>\n",
" <td>NaN</td>\n",
" <td>Guinea-Bissau</td>\n",
" <td>11.803700</td>\n",
" <td>-15.180400</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1256</td>\n",
" <td>1256</td>\n",
" <td>1256</td>\n",
" <td>1339</td>\n",
" <td>1339</td>\n",
" <td>1339</td>\n",
" <td>1339</td>\n",
" <td>1368</td>\n",
" <td>1368</td>\n",
" <td>1368</td>\n",
" </tr>\n",
" <tr>\n",
" <th>242</th>\n",
" <td>NaN</td>\n",
" <td>Mali</td>\n",
" <td>17.570692</td>\n",
" <td>-3.996166</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1226</td>\n",
" <td>1250</td>\n",
" <td>1265</td>\n",
" <td>1315</td>\n",
" <td>1351</td>\n",
" <td>1386</td>\n",
" <td>1461</td>\n",
" <td>1485</td>\n",
" <td>1523</td>\n",
" <td>1533</td>\n",
" </tr>\n",
" <tr>\n",
" <th>243</th>\n",
" <td>NaN</td>\n",
" <td>Saint Kitts and Nevis</td>\n",
" <td>17.357822</td>\n",
" <td>-62.782998</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>244</th>\n",
" <td>Northwest Territories</td>\n",
" <td>Canada</td>\n",
" <td>64.825500</td>\n",
" <td>-124.845700</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>245</th>\n",
" <td>Yukon</td>\n",
" <td>Canada</td>\n",
" <td>64.282300</td>\n",
" <td>-135.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" <td>11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>246</th>\n",
" <td>NaN</td>\n",
" <td>Kosovo</td>\n",
" <td>42.602636</td>\n",
" <td>20.902977</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1048</td>\n",
" <td>1064</td>\n",
" <td>1064</td>\n",
" <td>1064</td>\n",
" <td>1064</td>\n",
" <td>1142</td>\n",
" <td>1142</td>\n",
" <td>1142</td>\n",
" <td>1142</td>\n",
" <td>1142</td>\n",
" </tr>\n",
" <tr>\n",
" <th>247</th>\n",
" <td>NaN</td>\n",
" <td>Burma</td>\n",
" <td>21.916200</td>\n",
" <td>95.956000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>207</td>\n",
" <td>224</td>\n",
" <td>224</td>\n",
" <td>228</td>\n",
" <td>232</td>\n",
" <td>233</td>\n",
" <td>236</td>\n",
" <td>236</td>\n",
" <td>240</td>\n",
" <td>242</td>\n",
" </tr>\n",
" <tr>\n",
" <th>248</th>\n",
" <td>Anguilla</td>\n",
" <td>United Kingdom</td>\n",
" <td>18.220600</td>\n",
" <td>-63.068600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>249</th>\n",
" <td>British Virgin Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>18.420700</td>\n",
" <td>-64.640000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>250</th>\n",
" <td>Turks and Caicos Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>21.694000</td>\n",
" <td>-71.797900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>251</th>\n",
" <td>NaN</td>\n",
" <td>MS Zaandam</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>252</th>\n",
" <td>NaN</td>\n",
" <td>Botswana</td>\n",
" <td>-22.328500</td>\n",
" <td>24.684900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>35</td>\n",
" <td>35</td>\n",
" <td>35</td>\n",
" <td>38</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>253</th>\n",
" <td>NaN</td>\n",
" <td>Burundi</td>\n",
" <td>-3.373100</td>\n",
" <td>29.918900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>42</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>63</td>\n",
" <td>83</td>\n",
" <td>83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>254</th>\n",
" <td>NaN</td>\n",
" <td>Sierra Leone</td>\n",
" <td>8.460555</td>\n",
" <td>-11.779889</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>829</td>\n",
" <td>852</td>\n",
" <td>861</td>\n",
" <td>865</td>\n",
" <td>896</td>\n",
" <td>909</td>\n",
" <td>914</td>\n",
" <td>929</td>\n",
" <td>946</td>\n",
" <td>969</td>\n",
" </tr>\n",
" <tr>\n",
" <th>255</th>\n",
" <td>Bonaire, Sint Eustatius and Saba</td>\n",
" <td>Netherlands</td>\n",
" <td>12.178400</td>\n",
" <td>-68.238500</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>256</th>\n",
" <td>NaN</td>\n",
" <td>Malawi</td>\n",
" <td>-13.254308</td>\n",
" <td>34.301525</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>273</td>\n",
" <td>279</td>\n",
" <td>284</td>\n",
" <td>336</td>\n",
" <td>358</td>\n",
" <td>369</td>\n",
" <td>393</td>\n",
" <td>409</td>\n",
" <td>409</td>\n",
" <td>438</td>\n",
" </tr>\n",
" <tr>\n",
" <th>257</th>\n",
" <td>Falkland Islands (Malvinas)</td>\n",
" <td>United Kingdom</td>\n",
" <td>-51.796300</td>\n",
" <td>-59.523600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" <td>13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>258</th>\n",
" <td>Saint Pierre and Miquelon</td>\n",
" <td>France</td>\n",
" <td>46.885200</td>\n",
" <td>-56.315900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>NaN</td>\n",
" <td>South Sudan</td>\n",
" <td>6.877000</td>\n",
" <td>31.307000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>994</td>\n",
" <td>1317</td>\n",
" </tr>\n",
" <tr>\n",
" <th>260</th>\n",
" <td>NaN</td>\n",
" <td>Western Sahara</td>\n",
" <td>24.215500</td>\n",
" <td>-12.885800</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>261</th>\n",
" <td>NaN</td>\n",
" <td>Sao Tome and Principe</td>\n",
" <td>0.186360</td>\n",
" <td>6.613081</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>463</td>\n",
" <td>479</td>\n",
" <td>483</td>\n",
" <td>484</td>\n",
" <td>484</td>\n",
" <td>484</td>\n",
" <td>485</td>\n",
" <td>499</td>\n",
" <td>499</td>\n",
" <td>513</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>NaN</td>\n",
" <td>Yemen</td>\n",
" <td>15.552727</td>\n",
" <td>48.516388</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>283</td>\n",
" <td>310</td>\n",
" <td>323</td>\n",
" <td>354</td>\n",
" <td>399</td>\n",
" <td>419</td>\n",
" <td>453</td>\n",
" <td>469</td>\n",
" <td>482</td>\n",
" <td>484</td>\n",
" </tr>\n",
" <tr>\n",
" <th>263</th>\n",
" <td>NaN</td>\n",
" <td>Comoros</td>\n",
" <td>-11.645500</td>\n",
" <td>43.333300</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>87</td>\n",
" <td>106</td>\n",
" <td>106</td>\n",
" <td>106</td>\n",
" <td>132</td>\n",
" <td>132</td>\n",
" <td>132</td>\n",
" <td>132</td>\n",
" <td>141</td>\n",
" <td>141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>264</th>\n",
" <td>NaN</td>\n",
" <td>Tajikistan</td>\n",
" <td>38.861034</td>\n",
" <td>71.276093</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>3686</td>\n",
" <td>3807</td>\n",
" <td>3930</td>\n",
" <td>4013</td>\n",
" <td>4100</td>\n",
" <td>4191</td>\n",
" <td>4289</td>\n",
" <td>4370</td>\n",
" <td>4453</td>\n",
" <td>4529</td>\n",
" </tr>\n",
" <tr>\n",
" <th>265</th>\n",
" <td>NaN</td>\n",
" <td>Lesotho</td>\n",
" <td>-29.609988</td>\n",
" <td>28.233608</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>266 rows × 142 columns</p>\n",
"</div>"
],
"text/plain": [
" Province/State Country/Region Lat \\\n",
"0 NaN Afghanistan 33.000000 \n",
"1 NaN Albania 41.153300 \n",
"2 NaN Algeria 28.033900 \n",
"3 NaN Andorra 42.506300 \n",
"4 NaN Angola -11.202700 \n",
"5 NaN Antigua and Barbuda 17.060800 \n",
"6 NaN Argentina -38.416100 \n",
"7 NaN Armenia 40.069100 \n",
"8 Australian Capital Territory Australia -35.473500 \n",
"9 New South Wales Australia -33.868800 \n",
"10 Northern Territory Australia -12.463400 \n",
"11 Queensland Australia -28.016700 \n",
"12 South Australia Australia -34.928500 \n",
"13 Tasmania Australia -41.454500 \n",
"14 Victoria Australia -37.813600 \n",
"15 Western Australia Australia -31.950500 \n",
"16 NaN Austria 47.516200 \n",
"17 NaN Azerbaijan 40.143100 \n",
"18 NaN Bahamas 25.034300 \n",
"19 NaN Bahrain 26.027500 \n",
"20 NaN Bangladesh 23.685000 \n",
"21 NaN Barbados 13.193900 \n",
"22 NaN Belarus 53.709800 \n",
"23 NaN Belgium 50.833300 \n",
"24 NaN Benin 9.307700 \n",
"25 NaN Bhutan 27.514200 \n",
"26 NaN Bolivia -16.290200 \n",
"27 NaN Bosnia and Herzegovina 43.915900 \n",
"28 NaN Brazil -14.235000 \n",
"29 NaN Brunei 4.535300 \n",
".. ... ... ... \n",
"236 NaN Timor-Leste -8.874217 \n",
"237 NaN Belize 13.193900 \n",
"238 NaN Laos 19.856270 \n",
"239 NaN Libya 26.335100 \n",
"240 NaN West Bank and Gaza 31.952200 \n",
"241 NaN Guinea-Bissau 11.803700 \n",
"242 NaN Mali 17.570692 \n",
"243 NaN Saint Kitts and Nevis 17.357822 \n",
"244 Northwest Territories Canada 64.825500 \n",
"245 Yukon Canada 64.282300 \n",
"246 NaN Kosovo 42.602636 \n",
"247 NaN Burma 21.916200 \n",
"248 Anguilla United Kingdom 18.220600 \n",
"249 British Virgin Islands United Kingdom 18.420700 \n",
"250 Turks and Caicos Islands United Kingdom 21.694000 \n",
"251 NaN MS Zaandam 0.000000 \n",
"252 NaN Botswana -22.328500 \n",
"253 NaN Burundi -3.373100 \n",
"254 NaN Sierra Leone 8.460555 \n",
"255 Bonaire, Sint Eustatius and Saba Netherlands 12.178400 \n",
"256 NaN Malawi -13.254308 \n",
"257 Falkland Islands (Malvinas) United Kingdom -51.796300 \n",
"258 Saint Pierre and Miquelon France 46.885200 \n",
"259 NaN South Sudan 6.877000 \n",
"260 NaN Western Sahara 24.215500 \n",
"261 NaN Sao Tome and Principe 0.186360 \n",
"262 NaN Yemen 15.552727 \n",
"263 NaN Comoros -11.645500 \n",
"264 NaN Tajikistan 38.861034 \n",
"265 NaN Lesotho -29.609988 \n",
"\n",
" Long 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 ... \\\n",
"0 65.000000 0 0 0 0 0 0 ... \n",
"1 20.168300 0 0 0 0 0 0 ... \n",
"2 1.659600 0 0 0 0 0 0 ... \n",
"3 1.521800 0 0 0 0 0 0 ... \n",
"4 17.873900 0 0 0 0 0 0 ... \n",
"5 -61.796400 0 0 0 0 0 0 ... \n",
"6 -63.616700 0 0 0 0 0 0 ... \n",
"7 45.038200 0 0 0 0 0 0 ... \n",
"8 149.012400 0 0 0 0 0 0 ... \n",
"9 151.209300 0 0 0 0 3 4 ... \n",
"10 130.845600 0 0 0 0 0 0 ... \n",
"11 153.400000 0 0 0 0 0 0 ... \n",
"12 138.600700 0 0 0 0 0 0 ... \n",
"13 145.970700 0 0 0 0 0 0 ... \n",
"14 144.963100 0 0 0 0 1 1 ... \n",
"15 115.860500 0 0 0 0 0 0 ... \n",
"16 14.550100 0 0 0 0 0 0 ... \n",
"17 47.576900 0 0 0 0 0 0 ... \n",
"18 -77.396300 0 0 0 0 0 0 ... \n",
"19 50.550000 0 0 0 0 0 0 ... \n",
"20 90.356300 0 0 0 0 0 0 ... \n",
"21 -59.543200 0 0 0 0 0 0 ... \n",
"22 27.953400 0 0 0 0 0 0 ... \n",
"23 4.000000 0 0 0 0 0 0 ... \n",
"24 2.315800 0 0 0 0 0 0 ... \n",
"25 90.433600 0 0 0 0 0 0 ... \n",
"26 -63.588700 0 0 0 0 0 0 ... \n",
"27 17.679100 0 0 0 0 0 0 ... \n",
"28 -51.925300 0 0 0 0 0 0 ... \n",
"29 114.727700 0 0 0 0 0 0 ... \n",
".. ... ... ... ... ... ... ... ... \n",
"236 125.727539 0 0 0 0 0 0 ... \n",
"237 -59.543200 0 0 0 0 0 0 ... \n",
"238 102.495496 0 0 0 0 0 0 ... \n",
"239 17.228331 0 0 0 0 0 0 ... \n",
"240 35.233200 0 0 0 0 0 0 ... \n",
"241 -15.180400 0 0 0 0 0 0 ... \n",
"242 -3.996166 0 0 0 0 0 0 ... \n",
"243 -62.782998 0 0 0 0 0 0 ... \n",
"244 -124.845700 0 0 0 0 0 0 ... \n",
"245 -135.000000 0 0 0 0 0 0 ... \n",
"246 20.902977 0 0 0 0 0 0 ... \n",
"247 95.956000 0 0 0 0 0 0 ... \n",
"248 -63.068600 0 0 0 0 0 0 ... \n",
"249 -64.640000 0 0 0 0 0 0 ... \n",
"250 -71.797900 0 0 0 0 0 0 ... \n",
"251 0.000000 0 0 0 0 0 0 ... \n",
"252 24.684900 0 0 0 0 0 0 ... \n",
"253 29.918900 0 0 0 0 0 0 ... \n",
"254 -11.779889 0 0 0 0 0 0 ... \n",
"255 -68.238500 0 0 0 0 0 0 ... \n",
"256 34.301525 0 0 0 0 0 0 ... \n",
"257 -59.523600 0 0 0 0 0 0 ... \n",
"258 -56.315900 0 0 0 0 0 0 ... \n",
"259 31.307000 0 0 0 0 0 0 ... \n",
"260 -12.885800 0 0 0 0 0 0 ... \n",
"261 6.613081 0 0 0 0 0 0 ... \n",
"262 48.516388 0 0 0 0 0 0 ... \n",
"263 43.333300 0 0 0 0 0 0 ... \n",
"264 71.276093 0 0 0 0 0 0 ... \n",
"265 28.233608 0 0 0 0 0 0 ... \n",
"\n",
" 5/29/20 5/30/20 5/31/20 6/1/20 6/2/20 6/3/20 6/4/20 6/5/20 \\\n",
"0 13659 14525 15205 15750 16509 17267 18054 18969 \n",
"1 1099 1122 1137 1143 1164 1184 1197 1212 \n",
"2 9134 9267 9394 9513 9626 9733 9831 9935 \n",
"3 764 764 764 765 844 851 852 852 \n",
"4 81 84 86 86 86 86 86 86 \n",
"5 25 25 26 26 26 26 26 26 \n",
"6 15419 16214 16851 17415 18319 19268 20197 21037 \n",
"7 8676 8927 9282 9492 10009 10524 11221 11817 \n",
"8 107 107 107 107 107 107 107 107 \n",
"9 3092 3095 3098 3104 3104 3106 3110 3110 \n",
"10 29 29 29 29 29 29 29 29 \n",
"11 1058 1058 1058 1059 1059 1060 1060 1061 \n",
"12 440 440 440 440 440 440 440 440 \n",
"13 228 228 228 228 228 228 228 228 \n",
"14 1645 1649 1653 1663 1670 1678 1681 1681 \n",
"15 585 586 589 591 592 592 592 596 \n",
"16 16655 16685 16731 16733 16759 16771 16805 16843 \n",
"17 4989 5246 5494 5662 5935 6260 6522 6860 \n",
"18 102 102 102 102 102 102 102 102 \n",
"19 10449 10793 11398 11871 12311 12815 13296 13835 \n",
"20 42844 44608 47153 49534 52445 55140 57563 60391 \n",
"21 92 92 92 92 92 92 92 92 \n",
"22 40764 41658 42556 43403 44255 45116 45981 46868 \n",
"23 58061 58186 58381 58517 58615 58685 58767 58907 \n",
"24 224 224 232 243 244 244 261 261 \n",
"25 31 33 43 43 47 47 47 48 \n",
"26 8731 9592 9982 10531 10991 11638 12245 12728 \n",
"27 2485 2494 2510 2524 2535 2551 2594 2606 \n",
"28 465166 498440 514849 526447 555383 584016 614941 645771 \n",
"29 141 141 141 141 141 141 141 141 \n",
".. ... ... ... ... ... ... ... ... \n",
"236 24 24 24 24 24 24 24 24 \n",
"237 18 18 18 18 18 18 18 19 \n",
"238 19 19 19 19 19 19 19 19 \n",
"239 118 130 156 168 182 196 209 239 \n",
"240 446 447 448 449 451 457 464 464 \n",
"241 1256 1256 1256 1339 1339 1339 1339 1368 \n",
"242 1226 1250 1265 1315 1351 1386 1461 1485 \n",
"243 15 15 15 15 15 15 15 15 \n",
"244 5 5 5 5 5 5 5 5 \n",
"245 11 11 11 11 11 11 11 11 \n",
"246 1048 1064 1064 1064 1064 1142 1142 1142 \n",
"247 207 224 224 228 232 233 236 236 \n",
"248 3 3 3 3 3 3 3 3 \n",
"249 8 8 8 8 8 8 8 8 \n",
"250 12 12 12 12 12 12 12 12 \n",
"251 9 9 9 9 9 9 9 9 \n",
"252 35 35 35 38 40 40 40 40 \n",
"253 42 63 63 63 63 63 63 63 \n",
"254 829 852 861 865 896 909 914 929 \n",
"255 6 6 6 7 7 7 7 7 \n",
"256 273 279 284 336 358 369 393 409 \n",
"257 13 13 13 13 13 13 13 13 \n",
"258 1 1 1 1 1 1 1 1 \n",
"259 994 994 994 994 994 994 994 994 \n",
"260 9 9 9 9 9 9 9 9 \n",
"261 463 479 483 484 484 484 485 499 \n",
"262 283 310 323 354 399 419 453 469 \n",
"263 87 106 106 106 132 132 132 132 \n",
"264 3686 3807 3930 4013 4100 4191 4289 4370 \n",
"265 2 2 2 2 2 4 4 4 \n",
"\n",
" 6/6/20 6/7/20 \n",
"0 19551 20342 \n",
"1 1232 1246 \n",
"2 10050 10154 \n",
"3 852 852 \n",
"4 88 91 \n",
"5 26 26 \n",
"6 22020 22794 \n",
"7 12364 13130 \n",
"8 108 108 \n",
"9 3109 3112 \n",
"10 29 29 \n",
"11 1061 1062 \n",
"12 440 440 \n",
"13 228 228 \n",
"14 1685 1687 \n",
"15 599 599 \n",
"16 16898 16902 \n",
"17 7239 7553 \n",
"18 103 103 \n",
"19 14383 14763 \n",
"20 63026 65769 \n",
"21 92 92 \n",
"22 47751 48630 \n",
"23 59072 59226 \n",
"24 261 261 \n",
"25 48 59 \n",
"26 13358 13643 \n",
"27 2606 2606 \n",
"28 672846 691758 \n",
"29 141 141 \n",
".. ... ... \n",
"236 24 24 \n",
"237 19 19 \n",
"238 19 19 \n",
"239 256 256 \n",
"240 464 472 \n",
"241 1368 1368 \n",
"242 1523 1533 \n",
"243 15 15 \n",
"244 5 5 \n",
"245 11 11 \n",
"246 1142 1142 \n",
"247 240 242 \n",
"248 3 3 \n",
"249 8 8 \n",
"250 12 12 \n",
"251 9 9 \n",
"252 40 40 \n",
"253 83 83 \n",
"254 946 969 \n",
"255 7 7 \n",
"256 409 438 \n",
"257 13 13 \n",
"258 1 1 \n",
"259 994 1317 \n",
"260 9 9 \n",
"261 499 513 \n",
"262 482 484 \n",
"263 141 141 \n",
"264 4453 4529 \n",
"265 4 4 \n",
"\n",
"[266 rows x 142 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"tableau indicatif\n",
"le format des dates est actuellement en mois/jourdumois/année"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"en dessous on a une proposition pour faire une curvefit voir s'il faut pas faire autre chose\n",
"trouver une code pour faire les mois voulu avec string ou autre"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"ename": "KeyError",
"evalue": "'time (day)'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2524\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2525\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2526\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mKeyError\u001b[0m: 'time (day)'",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-4-0841297f05a3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'time (day)'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'case (unit)'\u001b[0m\u001b[0;34m]\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/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2137\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2138\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2139\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2141\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\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;36m_getitem_column\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2144\u001b[0m \u001b[0;31m# get column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2145\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2146\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2148\u001b[0m \u001b[0;31m# duplicate columns & possible reduce dimensionality\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;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m 1840\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1841\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1842\u001b[0;31m \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1843\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1844\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\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;36mget\u001b[0;34m(self, item, fastpath)\u001b[0m\n\u001b[1;32m 3841\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3842\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3843\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3844\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3845\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\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/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2525\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2526\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2527\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\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 2528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2529\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mKeyError\u001b[0m: 'time (day)'"
]
}
],
"source": [
"plt.plot(x['time (day)'],x['case (unit)'])\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"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": 4
}
module2/exo3/exercice_fr.ipynb → module2/exo3/Untitled.ipynb
View file @ 8d1813b4
{ {
"cells": [], "cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": { "metadata": {
"hideCode": true,
"hidePrompt": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import isoweek\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"hideCode": true,
"hidePrompt": true
},
"outputs": [],
"source": [
"data = pd.read_csv(\"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"hide_code_all_hidden": true,
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
"language": "python", "language": "python",
...@@ -16,10 +53,9 @@ ...@@ -16,10 +53,9 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.6.3" "version": "3.6.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 2 "nbformat_minor": 4
} }
module2/exo3/Untitled1.ipynb 0 → 100644
View file @ 8d1813b4
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import isoweek\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"y = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\",index_col=1)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"Chine=y.loc[['China'],:]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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" <th>China</th>\n",
" <td>Anhui</td>\n",
" <td>31.8257</td>\n",
" <td>117.2264</td>\n",
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" <th>China</th>\n",
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" <td>116.4142</td>\n",
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" <th>China</th>\n",
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" <td>37.8099</td>\n",
" <td>101.0583</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
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" <td>4</td>\n",
" <td>7</td>\n",
" <td>14</td>\n",
" <td>19</td>\n",
" <td>...</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" <td>139</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Guangdong</td>\n",
" <td>23.3417</td>\n",
" <td>113.4244</td>\n",
" <td>26</td>\n",
" <td>32</td>\n",
" <td>53</td>\n",
" <td>78</td>\n",
" <td>111</td>\n",
" <td>151</td>\n",
" <td>207</td>\n",
" <td>...</td>\n",
" <td>1598</td>\n",
" <td>1598</td>\n",
" <td>1601</td>\n",
" <td>1602</td>\n",
" <td>1602</td>\n",
" <td>1604</td>\n",
" <td>1604</td>\n",
" <td>1607</td>\n",
" <td>1607</td>\n",
" <td>1608</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Guangxi</td>\n",
" <td>23.8298</td>\n",
" <td>108.7881</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" <td>36</td>\n",
" <td>46</td>\n",
" <td>51</td>\n",
" <td>...</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" <td>254</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Guizhou</td>\n",
" <td>26.8154</td>\n",
" <td>106.8748</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>9</td>\n",
" <td>...</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" <td>147</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Hainan</td>\n",
" <td>19.1959</td>\n",
" <td>109.7453</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>19</td>\n",
" <td>22</td>\n",
" <td>33</td>\n",
" <td>40</td>\n",
" <td>...</td>\n",
" <td>169</td>\n",
" <td>169</td>\n",
" <td>169</td>\n",
" <td>170</td>\n",
" <td>170</td>\n",
" <td>170</td>\n",
" <td>170</td>\n",
" <td>170</td>\n",
" <td>170</td>\n",
" <td>171</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Hebei</td>\n",
" <td>39.5490</td>\n",
" <td>116.1306</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>13</td>\n",
" <td>18</td>\n",
" <td>33</td>\n",
" <td>...</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" <td>328</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Heilongjiang</td>\n",
" <td>47.8620</td>\n",
" <td>127.7615</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>21</td>\n",
" <td>33</td>\n",
" <td>...</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" <td>947</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Henan</td>\n",
" <td>33.8820</td>\n",
" <td>113.6140</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>9</td>\n",
" <td>32</td>\n",
" <td>83</td>\n",
" <td>128</td>\n",
" <td>168</td>\n",
" <td>...</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" <td>1276</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Hong Kong</td>\n",
" <td>22.3000</td>\n",
" <td>114.2000</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>...</td>\n",
" <td>1093</td>\n",
" <td>1099</td>\n",
" <td>1102</td>\n",
" <td>1105</td>\n",
" <td>1106</td>\n",
" <td>1107</td>\n",
" <td>1107</td>\n",
" <td>1107</td>\n",
" <td>1107</td>\n",
" <td>1108</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Hubei</td>\n",
" <td>30.9756</td>\n",
" <td>112.2707</td>\n",
" <td>444</td>\n",
" <td>444</td>\n",
" <td>549</td>\n",
" <td>761</td>\n",
" <td>1058</td>\n",
" <td>1423</td>\n",
" <td>3554</td>\n",
" <td>...</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" <td>68135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Hunan</td>\n",
" <td>27.6104</td>\n",
" <td>111.7088</td>\n",
" <td>4</td>\n",
" <td>9</td>\n",
" <td>24</td>\n",
" <td>43</td>\n",
" <td>69</td>\n",
" <td>100</td>\n",
" <td>143</td>\n",
" <td>...</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" <td>1019</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Inner Mongolia</td>\n",
" <td>44.0935</td>\n",
" <td>113.9448</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>11</td>\n",
" <td>15</td>\n",
" <td>...</td>\n",
" <td>235</td>\n",
" <td>235</td>\n",
" <td>235</td>\n",
" <td>235</td>\n",
" <td>235</td>\n",
" <td>235</td>\n",
" <td>237</td>\n",
" <td>237</td>\n",
" <td>237</td>\n",
" <td>237</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Jiangsu</td>\n",
" <td>32.9711</td>\n",
" <td>119.4550</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>9</td>\n",
" <td>18</td>\n",
" <td>33</td>\n",
" <td>47</td>\n",
" <td>70</td>\n",
" <td>...</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" <td>653</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Jiangxi</td>\n",
" <td>27.6140</td>\n",
" <td>115.7221</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>36</td>\n",
" <td>72</td>\n",
" <td>109</td>\n",
" <td>...</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" <td>932</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Jilin</td>\n",
" <td>43.6661</td>\n",
" <td>126.1923</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>...</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" <td>155</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Liaoning</td>\n",
" <td>41.2956</td>\n",
" <td>122.6085</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>17</td>\n",
" <td>21</td>\n",
" <td>27</td>\n",
" <td>34</td>\n",
" <td>...</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" <td>149</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Macau</td>\n",
" <td>22.1667</td>\n",
" <td>113.5500</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>7</td>\n",
" <td>...</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Ningxia</td>\n",
" <td>37.2692</td>\n",
" <td>106.1655</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>11</td>\n",
" <td>...</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" <td>75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Qinghai</td>\n",
" <td>35.7452</td>\n",
" <td>95.9956</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>6</td>\n",
" <td>...</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Shaanxi</td>\n",
" <td>35.1917</td>\n",
" <td>108.8701</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>5</td>\n",
" <td>15</td>\n",
" <td>22</td>\n",
" <td>35</td>\n",
" <td>46</td>\n",
" <td>...</td>\n",
" <td>309</td>\n",
" <td>309</td>\n",
" <td>309</td>\n",
" <td>311</td>\n",
" <td>311</td>\n",
" <td>311</td>\n",
" <td>311</td>\n",
" <td>311</td>\n",
" <td>311</td>\n",
" <td>311</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Shandong</td>\n",
" <td>36.3427</td>\n",
" <td>118.1498</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>15</td>\n",
" <td>27</td>\n",
" <td>46</td>\n",
" <td>75</td>\n",
" <td>95</td>\n",
" <td>...</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" <td>792</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Shanghai</td>\n",
" <td>31.2020</td>\n",
" <td>121.4491</td>\n",
" <td>9</td>\n",
" <td>16</td>\n",
" <td>20</td>\n",
" <td>33</td>\n",
" <td>40</td>\n",
" <td>53</td>\n",
" <td>66</td>\n",
" <td>...</td>\n",
" <td>673</td>\n",
" <td>677</td>\n",
" <td>677</td>\n",
" <td>677</td>\n",
" <td>678</td>\n",
" <td>678</td>\n",
" <td>678</td>\n",
" <td>684</td>\n",
" <td>689</td>\n",
" <td>690</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Shanxi</td>\n",
" <td>37.5777</td>\n",
" <td>112.2922</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" <td>13</td>\n",
" <td>27</td>\n",
" <td>...</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" <td>198</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Sichuan</td>\n",
" <td>30.6171</td>\n",
" <td>102.7103</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>15</td>\n",
" <td>28</td>\n",
" <td>44</td>\n",
" <td>69</td>\n",
" <td>90</td>\n",
" <td>...</td>\n",
" <td>577</td>\n",
" <td>578</td>\n",
" <td>578</td>\n",
" <td>578</td>\n",
" <td>581</td>\n",
" <td>582</td>\n",
" <td>582</td>\n",
" <td>582</td>\n",
" <td>582</td>\n",
" <td>583</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Tianjin</td>\n",
" <td>39.3054</td>\n",
" <td>117.3230</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>8</td>\n",
" <td>10</td>\n",
" <td>14</td>\n",
" <td>23</td>\n",
" <td>24</td>\n",
" <td>...</td>\n",
" <td>192</td>\n",
" <td>192</td>\n",
" <td>192</td>\n",
" <td>193</td>\n",
" <td>193</td>\n",
" <td>193</td>\n",
" <td>194</td>\n",
" <td>195</td>\n",
" <td>195</td>\n",
" <td>196</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Tibet</td>\n",
" <td>31.6927</td>\n",
" <td>88.0924</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Xinjiang</td>\n",
" <td>41.1129</td>\n",
" <td>85.2401</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>10</td>\n",
" <td>...</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" <td>76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Yunnan</td>\n",
" <td>24.9740</td>\n",
" <td>101.4870</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>11</td>\n",
" <td>16</td>\n",
" <td>26</td>\n",
" <td>44</td>\n",
" <td>...</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" <td>185</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>Zhejiang</td>\n",
" <td>29.1832</td>\n",
" <td>120.0934</td>\n",
" <td>10</td>\n",
" <td>27</td>\n",
" <td>43</td>\n",
" <td>62</td>\n",
" <td>104</td>\n",
" <td>128</td>\n",
" <td>173</td>\n",
" <td>...</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" <td>1268</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>33 rows × 146 columns</p>\n",
"</div>"
],
"text/plain": [
" Province/State Lat Long 1/22/20 1/23/20 1/24/20 \\\n",
"Country/Region \n",
"China Anhui 31.8257 117.2264 1 9 15 \n",
"China Beijing 40.1824 116.4142 14 22 36 \n",
"China Chongqing 30.0572 107.8740 6 9 27 \n",
"China Fujian 26.0789 117.9874 1 5 10 \n",
"China Gansu 37.8099 101.0583 0 2 2 \n",
"China Guangdong 23.3417 113.4244 26 32 53 \n",
"China Guangxi 23.8298 108.7881 2 5 23 \n",
"China Guizhou 26.8154 106.8748 1 3 3 \n",
"China Hainan 19.1959 109.7453 4 5 8 \n",
"China Hebei 39.5490 116.1306 1 1 2 \n",
"China Heilongjiang 47.8620 127.7615 0 2 4 \n",
"China Henan 33.8820 113.6140 5 5 9 \n",
"China Hong Kong 22.3000 114.2000 0 2 2 \n",
"China Hubei 30.9756 112.2707 444 444 549 \n",
"China Hunan 27.6104 111.7088 4 9 24 \n",
"China Inner Mongolia 44.0935 113.9448 0 0 1 \n",
"China Jiangsu 32.9711 119.4550 1 5 9 \n",
"China Jiangxi 27.6140 115.7221 2 7 18 \n",
"China Jilin 43.6661 126.1923 0 1 3 \n",
"China Liaoning 41.2956 122.6085 2 3 4 \n",
"China Macau 22.1667 113.5500 1 2 2 \n",
"China Ningxia 37.2692 106.1655 1 1 2 \n",
"China Qinghai 35.7452 95.9956 0 0 0 \n",
"China Shaanxi 35.1917 108.8701 0 3 5 \n",
"China Shandong 36.3427 118.1498 2 6 15 \n",
"China Shanghai 31.2020 121.4491 9 16 20 \n",
"China Shanxi 37.5777 112.2922 1 1 1 \n",
"China Sichuan 30.6171 102.7103 5 8 15 \n",
"China Tianjin 39.3054 117.3230 4 4 8 \n",
"China Tibet 31.6927 88.0924 0 0 0 \n",
"China Xinjiang 41.1129 85.2401 0 2 2 \n",
"China Yunnan 24.9740 101.4870 1 2 5 \n",
"China Zhejiang 29.1832 120.0934 10 27 43 \n",
"\n",
" 1/25/20 1/26/20 1/27/20 1/28/20 ... 6/3/20 6/4/20 \\\n",
"Country/Region ... \n",
"China 39 60 70 106 ... 991 991 \n",
"China 41 68 80 91 ... 594 594 \n",
"China 57 75 110 132 ... 579 579 \n",
"China 18 35 59 80 ... 358 358 \n",
"China 4 7 14 19 ... 139 139 \n",
"China 78 111 151 207 ... 1598 1598 \n",
"China 23 36 46 51 ... 254 254 \n",
"China 4 5 7 9 ... 147 147 \n",
"China 19 22 33 40 ... 169 169 \n",
"China 8 13 18 33 ... 328 328 \n",
"China 9 15 21 33 ... 947 947 \n",
"China 32 83 128 168 ... 1276 1276 \n",
"China 5 8 8 8 ... 1093 1099 \n",
"China 761 1058 1423 3554 ... 68135 68135 \n",
"China 43 69 100 143 ... 1019 1019 \n",
"China 7 7 11 15 ... 235 235 \n",
"China 18 33 47 70 ... 653 653 \n",
"China 18 36 72 109 ... 932 932 \n",
"China 4 4 6 8 ... 155 155 \n",
"China 17 21 27 34 ... 149 149 \n",
"China 2 5 6 7 ... 45 45 \n",
"China 3 4 7 11 ... 75 75 \n",
"China 1 1 6 6 ... 18 18 \n",
"China 15 22 35 46 ... 309 309 \n",
"China 27 46 75 95 ... 792 792 \n",
"China 33 40 53 66 ... 673 677 \n",
"China 6 9 13 27 ... 198 198 \n",
"China 28 44 69 90 ... 577 578 \n",
"China 10 14 23 24 ... 192 192 \n",
"China 0 0 0 0 ... 1 1 \n",
"China 3 4 5 10 ... 76 76 \n",
"China 11 16 26 44 ... 185 185 \n",
"China 62 104 128 173 ... 1268 1268 \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",
"China 991 991 991 991 991 991 991 \n",
"China 594 594 594 594 594 594 595 \n",
"China 579 579 579 579 579 579 579 \n",
"China 358 359 359 359 359 360 361 \n",
"China 139 139 139 139 139 139 139 \n",
"China 1601 1602 1602 1604 1604 1607 1607 \n",
"China 254 254 254 254 254 254 254 \n",
"China 147 147 147 147 147 147 147 \n",
"China 169 170 170 170 170 170 170 \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 1102 1105 1106 1107 1107 1107 1107 \n",
"China 68135 68135 68135 68135 68135 68135 68135 \n",
"China 1019 1019 1019 1019 1019 1019 1019 \n",
"China 235 235 235 235 237 237 237 \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 309 311 311 311 311 311 311 \n",
"China 792 792 792 792 792 792 792 \n",
"China 677 677 678 678 678 684 689 \n",
"China 198 198 198 198 198 198 198 \n",
"China 578 578 581 582 582 582 582 \n",
"China 192 193 193 193 194 195 195 \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",
" 6/12/20 \n",
"Country/Region \n",
"China 991 \n",
"China 601 \n",
"China 579 \n",
"China 361 \n",
"China 139 \n",
"China 1608 \n",
"China 254 \n",
"China 147 \n",
"China 171 \n",
"China 328 \n",
"China 947 \n",
"China 1276 \n",
"China 1108 \n",
"China 68135 \n",
"China 1019 \n",
"China 237 \n",
"China 653 \n",
"China 932 \n",
"China 155 \n",
"China 149 \n",
"China 45 \n",
"China 75 \n",
"China 18 \n",
"China 311 \n",
"China 792 \n",
"China 690 \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 146 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Chine"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (<ipython-input-4-723bcb9a64cb>, line 1)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-4-723bcb9a64cb>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m HongKong=Chine.iloc[[12],:]fgdg\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
"source": [
"HongKong=Chine.iloc[[12],:]fgdg"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"HongKong.loc['Chine', 'Country/Region'] = 10"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"HongKong"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"H=HongKong.replace(\"China\",\"Hong Kong\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(H.dtypes)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"HongKong.at[0,'Country/Region']= 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"HongKong=HongKong.drop(columns='Province/State')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"h=H.T"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(h.dtypes)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"HongKong.astype(np.str)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"HongKong.replace['China','H']"
]
},
{
"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_confirmed_global.csv\", sep = '\\t', header = None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"x = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"x"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Belgique=x.loc[['Belgium'],:]\n",
"Chine=x.loc[['China'],:]\n",
"France=x.loc[['France'],:]\n",
"Allemagne=x.loc[['Germany'],:]\n",
"Iran=x.loc[['Iran'],:]\n",
"Italie=x.loc[['Italy'],:]\n",
"Japon=x.loc[['Japan'],:]\n",
"Hollande_et_colonies=x.loc[['Netherlands'],:]\n",
"Portugal=x.loc[['Portugal'],:]\n",
"Espagne=x.loc[['Spain'],:]\n",
"RoyaumeUni_et_colonies=x.loc[['United Kingdom'],:]\n",
"CoréeduSud=x.loc[['Korea, South'],:]\n",
"EtatsUnis=x.loc[['US'],:]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z=x.reindex(columns = ['Country/Region', 'Province/State'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"x"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z=x.iloc[[12],:]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z=z.T"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z.astype({12: int})"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df=pd.read_csv(\"C:/Users/xavier/Documents/Cours ESPE\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"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": 4
}
module2/exo3/epidemie coronavirus.ipynb 0 → 100644
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This source diff could not be displayed because it is too large. You can view the blob instead.
module2/exo3/monthly_in_situ_co2_mlo.csv 0 → 100644
View file @ 8d1813b4
"-------------------------------------------------------------------------------------------"
" Atmospheric CO2 concentrations (ppm) derived from in situ air measurements "
" at Mauna Loa, Observatory, Hawaii: Latitude 19.5°N Longitude 155.6°W Elevation 3397m "
" "
" Source: R. F. Keeling, S. J. Walker, S. C. Piper and A. F. Bollenbacher "
" Scripps CO2 Program ( http://scrippsco2.ucsd.edu ) "
" Scripps Institution of Oceanography (SIO) "
" University of California "
" La Jolla, California USA 92093-0244 "
" "
" Status of data and correspondence: "
" "
" These data are subject to revision based on recalibration of standard gases. Questions "
" about the data should be directed to Dr. Ralph Keeling (rkeeling@ucsd.edu), Stephen Walker"
" (sjwalker@ucsd.edu) and Stephen Piper (scpiper@ucsd.edu), Scripps CO2 Program. "
" "
" Baseline data in this file through 03-Jun-2020 from archive dated 03-Jun-2020 08:07:43 "
" "
"-------------------------------------------------------------------------------------------"
" "
" Please cite as: "
" "
" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and "
" H. A. Meijer, Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and "
" oceans from 1978 to 2000. I. Global aspects, SIO Reference Series, No. 01-06, Scripps "
" Institution of Oceanography, San Diego, 88 pages, 2001. "
" "
" If it is necessary to cite a peer-reviewed article, please cite as: "
" "
" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and "
" H. A. Meijer, Atmospheric CO2 and 13CO2 exchange with the terrestrial biosphere and "
" oceans from 1978 to 2000: observations and carbon cycle implications, pages 83-113, "
" in "A History of Atmospheric CO2 and its effects on Plants, Animals, and Ecosystems", "
" editors, Ehleringer, J.R., T. E. Cerling, M. D. Dearing, Springer Verlag, "
" New York, 2005. "
" "
"-------------------------------------------------------------------------------------------"
" "
" The data file below contains 10 columns. Columns 1-4 give the dates in several redundant "
" formats. Column 5 below gives monthly Mauna Loa CO2 concentrations in micro-mol CO2 per "
" mole (ppm), reported on the 2008A SIO manometric mole fraction scale. This is the "
" standard version of the data most often sought. The monthly values have been adjusted "
" to 24:00 hours on the 15th of each month. Column 6 gives the same data after a seasonal "
" adjustment to remove the quasi-regular seasonal cycle. The adjustment involves "
" subtracting from the data a 4-harmonic fit with a linear gain factor. Column 7 is a "
" smoothed version of the data generated from a stiff cubic spline function plus 4-harmonic "
" functions with linear gain. Column 8 is the same smoothed version with the seasonal "
" cycle removed. Column 9 is identical to Column 5 except that the missing values from "
" Column 5 have been filled with values from Column 7. Column 10 is identical to Column 6 "
" except missing values have been filled with values from Column 8. Missing values are "
" denoted by -99.99 "
" "
" CO2 concentrations are measured on the '08A' calibration scale "
" "
Yr, Mn, Date, Date, CO2,seasonally, fit, seasonally, CO2, seasonally
, , , , , adjusted, ,adjusted fit, filled,adjusted filled
, , Excel, , [ppm], [ppm] , [ppm], [ppm], [ppm], [ppm]
1958, 01, 21200, 1958.0411, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
1958, 02, 21231, 1958.1260, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
1958, 03, 21259, 1958.2027, 315.70, 314.44, 316.18, 314.90, 315.70, 314.44
1958, 04, 21290, 1958.2877, 317.45, 315.16, 317.29, 314.98, 317.45, 315.16
1958, 05, 21320, 1958.3699, 317.51, 314.71, 317.86, 315.06, 317.51, 314.71
1958, 06, 21351, 1958.4548, -99.99, -99.99, 317.24, 315.14, 317.24, 315.14
1958, 07, 21381, 1958.5370, 315.86, 315.19, 315.86, 315.21, 315.86, 315.19
1958, 08, 21412, 1958.6219, 314.93, 316.19, 313.99, 315.28, 314.93, 316.19
1958, 09, 21443, 1958.7068, 313.21, 316.08, 312.45, 315.35, 313.21, 316.08
1958, 10, 21473, 1958.7890, -99.99, -99.99, 312.43, 315.40, 312.43, 315.40
1958, 11, 21504, 1958.8740, 313.33, 315.20, 313.61, 315.46, 313.33, 315.20
1958, 12, 21534, 1958.9562, 314.67, 315.43, 314.76, 315.51, 314.67, 315.43
1959, 01, 21565, 1959.0411, 315.58, 315.54, 315.62, 315.57, 315.58, 315.54
1959, 02, 21596, 1959.1260, 316.49, 315.86, 316.26, 315.63, 316.49, 315.86
1959, 03, 21624, 1959.2027, 316.65, 315.38, 316.97, 315.69, 316.65, 315.38
1959, 04, 21655, 1959.2877, 317.72, 315.42, 318.08, 315.76, 317.72, 315.42
1959, 05, 21685, 1959.3699, 318.29, 315.49, 318.65, 315.84, 318.29, 315.49
1959, 06, 21716, 1959.4548, 318.15, 316.03, 318.04, 315.93, 318.15, 316.03
1959, 07, 21746, 1959.5370, 316.54, 315.86, 316.67, 316.02, 316.54, 315.86
1959, 08, 21777, 1959.6219, 314.80, 316.06, 314.82, 316.12, 314.80, 316.06
1959, 09, 21808, 1959.7068, 313.84, 316.73, 313.31, 316.21, 313.84, 316.73
1959, 10, 21838, 1959.7890, 313.33, 316.33, 313.32, 316.30, 313.33, 316.33
1959, 11, 21869, 1959.8740, 314.81, 316.68, 314.54, 316.39, 314.81, 316.68
1959, 12, 21899, 1959.9562, 315.58, 316.35, 315.72, 316.47, 315.58, 316.35
1960, 01, 21930, 1960.0410, 316.43, 316.39, 316.61, 316.55, 316.43, 316.39
1960, 02, 21961, 1960.1257, 316.98, 316.35, 317.27, 316.64, 316.98, 316.35
1960, 03, 21990, 1960.2049, 317.58, 316.28, 318.02, 316.71, 317.58, 316.28
1960, 04, 22021, 1960.2896, 319.03, 316.70, 319.14, 316.79, 319.03, 316.70
1960, 05, 22051, 1960.3716, 320.04, 317.22, 319.68, 316.86, 320.04, 317.22
1960, 06, 22082, 1960.4563, 319.58, 317.48, 319.01, 316.92, 319.58, 317.48
1960, 07, 22112, 1960.5383, 318.18, 317.52, 317.60, 316.97, 318.18, 317.52
1960, 08, 22143, 1960.6230, 315.90, 317.20, 315.68, 317.01, 315.90, 317.20
1960, 09, 22174, 1960.7077, 314.17, 317.08, 314.12, 317.04, 314.17, 317.08
1960, 10, 22204, 1960.7896, 313.83, 316.83, 314.08, 317.07, 313.83, 316.83
1960, 11, 22235, 1960.8743, 315.00, 316.88, 315.25, 317.10, 315.00, 316.88
1960, 12, 22265, 1960.9563, 316.19, 316.96, 316.39, 317.15, 316.19, 316.96
1961, 01, 22296, 1961.0411, 316.90, 316.85, 317.25, 317.20, 316.90, 316.85
1961, 02, 22327, 1961.1260, 317.70, 317.07, 317.90, 317.26, 317.70, 317.07
1961, 03, 22355, 1961.2027, 318.54, 317.26, 318.62, 317.33, 318.54, 317.26
1961, 04, 22386, 1961.2877, 319.48, 317.16, 319.75, 317.41, 319.48, 317.16
1961, 05, 22416, 1961.3699, 320.58, 317.76, 320.32, 317.50, 320.58, 317.76
1961, 06, 22447, 1961.4548, 319.77, 317.63, 319.71, 317.59, 319.77, 317.63
1961, 07, 22477, 1961.5370, 318.57, 317.88, 318.33, 317.67, 318.57, 317.88
1961, 08, 22508, 1961.6219, 316.79, 318.06, 316.45, 317.76, 316.79, 318.06
1961, 09, 22539, 1961.7068, 314.99, 317.90, 314.92, 317.84, 314.99, 317.90
1961, 10, 22569, 1961.7890, 315.31, 318.32, 314.92, 317.92, 315.31, 318.32
1961, 11, 22600, 1961.8740, 316.10, 317.99, 316.12, 317.99, 316.10, 317.99
1961, 12, 22630, 1961.9562, 317.01, 317.78, 317.30, 318.05, 317.01, 317.78
1962, 01, 22661, 1962.0411, 317.94, 317.90, 318.18, 318.12, 317.94, 317.90
1962, 02, 22692, 1962.1260, 318.55, 317.92, 318.83, 318.19, 318.55, 317.92
1962, 03, 22720, 1962.2027, 319.68, 318.40, 319.55, 318.25, 319.68, 318.40
1962, 04, 22751, 1962.2877, 320.57, 318.24, 320.66, 318.32, 320.57, 318.24
1962, 05, 22781, 1962.3699, 321.02, 318.18, 321.22, 318.38, 321.02, 318.18
1962, 06, 22812, 1962.4548, 320.62, 318.47, 320.57, 318.45, 320.62, 318.47
1962, 07, 22842, 1962.5370, 319.61, 318.93, 319.16, 318.50, 319.61, 318.93
1962, 08, 22873, 1962.6219, 317.40, 318.68, 317.24, 318.55, 317.40, 318.68
1962, 09, 22904, 1962.7068, 316.25, 319.17, 315.66, 318.60, 316.25, 319.17
1962, 10, 22934, 1962.7890, 315.42, 318.44, 315.62, 318.64, 315.42, 318.44
1962, 11, 22965, 1962.8740, 316.69, 318.58, 316.80, 318.68, 316.69, 318.58
1962, 12, 22995, 1962.9562, 317.70, 318.47, 317.96, 318.72, 317.70, 318.47
1963, 01, 23026, 1963.0411, 318.74, 318.70, 318.81, 318.76, 318.74, 318.70
1963, 02, 23057, 1963.1260, 319.07, 318.43, 319.45, 318.81, 319.07, 318.43
1963, 03, 23085, 1963.2027, 319.86, 318.57, 320.15, 318.85, 319.86, 318.57
1963, 04, 23116, 1963.2877, 321.38, 319.05, 321.26, 318.91, 321.38, 319.05
1963, 05, 23146, 1963.3699, 322.25, 319.40, 321.80, 318.96, 322.25, 319.40
1963, 06, 23177, 1963.4548, 321.48, 319.33, 321.14, 319.01, 321.48, 319.33
1963, 07, 23207, 1963.5370, 319.74, 319.06, 319.71, 319.05, 319.74, 319.06
1963, 08, 23238, 1963.6219, 317.77, 319.05, 317.78, 319.10, 317.77, 319.05
1963, 09, 23269, 1963.7068, 316.21, 319.14, 316.19, 319.14, 316.21, 319.14
1963, 10, 23299, 1963.7890, 315.99, 319.02, 316.16, 319.18, 315.99, 319.02
1963, 11, 23330, 1963.8740, 317.07, 318.97, 317.34, 319.22, 317.07, 318.97
1963, 12, 23360, 1963.9562, 318.35, 319.13, 318.51, 319.27, 318.35, 319.13
1964, 01, 23391, 1964.0410, 319.57, 319.53, 319.37, 319.31, 319.57, 319.53
1964, 02, 23422, 1964.1257, -99.99, -99.99, 320.00, 319.36, 320.00, 319.36
1964, 03, 23451, 1964.2049, -99.99, -99.99, 320.73, 319.40, 320.73, 319.40
1964, 04, 23482, 1964.2896, -99.99, -99.99, 321.83, 319.45, 321.83, 319.45
1964, 05, 23512, 1964.3716, 322.26, 319.40, 322.34, 319.49, 322.26, 319.40
1964, 06, 23543, 1964.4563, 321.89, 319.75, 321.64, 319.52, 321.89, 319.75
1964, 07, 23573, 1964.5383, 320.44, 319.78, 320.18, 319.55, 320.44, 319.78
1964, 08, 23604, 1964.6230, 318.69, 320.01, 318.23, 319.58, 318.69, 320.01
1964, 09, 23635, 1964.7077, 316.70, 319.66, 316.63, 319.60, 316.70, 319.66
1964, 10, 23665, 1964.7896, 316.87, 319.91, 316.59, 319.62, 316.87, 319.91
1964, 11, 23696, 1964.8743, 317.68, 319.58, 317.75, 319.63, 317.68, 319.58
1964, 12, 23726, 1964.9563, 318.71, 319.49, 318.89, 319.65, 318.71, 319.49
1965, 01, 23757, 1965.0411, 319.44, 319.40, 319.73, 319.68, 319.44, 319.40
1965, 02, 23788, 1965.1260, 320.44, 319.81, 320.37, 319.72, 320.44, 319.81
1965, 03, 23816, 1965.2027, 320.89, 319.59, 321.08, 319.77, 320.89, 319.59
1965, 04, 23847, 1965.2877, 322.14, 319.78, 322.20, 319.83, 322.14, 319.78
1965, 05, 23877, 1965.3699, 322.17, 319.30, 322.77, 319.90, 322.17, 319.30
1965, 06, 23908, 1965.4548, 321.87, 319.70, 322.15, 320.00, 321.87, 319.70
1965, 07, 23938, 1965.5370, 321.21, 320.52, 320.76, 320.10, 321.21, 320.52
1965, 08, 23969, 1965.6219, 318.87, 320.16, 318.88, 320.21, 318.87, 320.16
1965, 09, 24000, 1965.7068, 317.81, 320.77, 317.35, 320.32, 317.81, 320.77
1965, 10, 24030, 1965.7890, 317.30, 320.36, 317.39, 320.43, 317.30, 320.36
1965, 11, 24061, 1965.8740, 318.87, 320.78, 318.65, 320.55, 318.87, 320.78
1965, 12, 24091, 1965.9562, 319.42, 320.20, 319.89, 320.66, 319.42, 320.20
1966, 01, 24122, 1966.0411, 320.62, 320.58, 320.84, 320.78, 320.62, 320.58
1966, 02, 24153, 1966.1260, 321.60, 320.95, 321.55, 320.90, 321.60, 320.95
1966, 03, 24181, 1966.2027, 322.39, 321.09, 322.32, 321.01, 322.39, 321.09
1966, 04, 24212, 1966.2877, 323.70, 321.34, 323.50, 321.12, 323.70, 321.34
1966, 05, 24242, 1966.3699, 324.08, 321.20, 324.10, 321.22, 324.08, 321.20
1966, 06, 24273, 1966.4548, 323.75, 321.57, 323.47, 321.32, 323.75, 321.57
1966, 07, 24303, 1966.5370, 322.38, 321.69, 322.06, 321.40, 322.38, 321.69
1966, 08, 24334, 1966.6219, 320.36, 321.66, 320.15, 321.48, 320.36, 321.66
1966, 09, 24365, 1966.7068, 318.64, 321.60, 318.57, 321.55, 318.64, 321.60
1966, 10, 24395, 1966.7890, 318.10, 321.17, 318.56, 321.62, 318.10, 321.17
1966, 11, 24426, 1966.8740, 319.78, 321.70, 319.78, 321.68, 319.78, 321.70
1966, 12, 24456, 1966.9562, 321.03, 321.81, 320.97, 321.74, 321.03, 321.81
1967, 01, 24487, 1967.0411, 322.33, 322.29, 321.85, 321.80, 322.33, 322.29
1967, 02, 24518, 1967.1260, 322.50, 321.85, 322.51, 321.85, 322.50, 321.85
1967, 03, 24546, 1967.2027, 323.04, 321.73, 323.22, 321.90, 323.04, 321.73
1967, 04, 24577, 1967.2877, 324.42, 322.05, 324.34, 321.96, 324.42, 322.05
1967, 05, 24607, 1967.3699, 325.00, 322.11, 324.90, 322.01, 325.00, 322.11
1967, 06, 24638, 1967.4548, 324.09, 321.91, 324.24, 322.07, 324.09, 321.91
1967, 07, 24668, 1967.5370, 322.54, 321.85, 322.80, 322.13, 322.54, 321.85
1967, 08, 24699, 1967.6219, 320.92, 322.22, 320.87, 322.20, 320.92, 322.22
1967, 09, 24730, 1967.7068, 319.25, 322.23, 319.28, 322.27, 319.25, 322.23
1967, 10, 24760, 1967.7890, 319.39, 322.47, 319.28, 322.34, 319.39, 322.47
1967, 11, 24791, 1967.8740, 320.73, 322.65, 320.51, 322.42, 320.73, 322.65
1967, 12, 24821, 1967.9562, 321.96, 322.74, 321.72, 322.49, 321.96, 322.74
1968, 01, 24852, 1968.0410, 322.57, 322.53, 322.62, 322.57, 322.57, 322.53
1968, 02, 24883, 1968.1257, 323.15, 322.50, 323.30, 322.65, 323.15, 322.50
1968, 03, 24912, 1968.2049, 323.89, 322.55, 324.08, 322.73, 323.89, 322.55
1968, 04, 24943, 1968.2896, 325.02, 322.62, 325.24, 322.82, 325.02, 322.62
1968, 05, 24973, 1968.3716, 325.57, 322.68, 325.81, 322.92, 325.57, 322.68
1968, 06, 25004, 1968.4563, 325.36, 323.19, 325.18, 323.03, 325.36, 323.19
1968, 07, 25034, 1968.5383, 324.14, 323.47, 323.78, 323.13, 324.14, 323.47
1968, 08, 25065, 1968.6230, 322.11, 323.44, 321.88, 323.25, 322.11, 323.44
1968, 09, 25096, 1968.7077, 320.33, 323.32, 320.36, 323.37, 320.33, 323.32
1968, 10, 25126, 1968.7896, 320.25, 323.33, 320.41, 323.48, 320.25, 323.33
1968, 11, 25157, 1968.8743, 321.32, 323.25, 321.71, 323.61, 321.32, 323.25
1968, 12, 25187, 1968.9563, 322.89, 323.68, 322.97, 323.74, 322.89, 323.68
1969, 01, 25218, 1969.0411, 324.00, 323.96, 323.94, 323.88, 324.00, 323.96
1969, 02, 25249, 1969.1260, 324.41, 323.77, 324.68, 324.03, 324.41, 323.77
1969, 03, 25277, 1969.2027, 325.63, 324.32, 325.49, 324.16, 325.63, 324.32
1969, 04, 25308, 1969.2877, 326.66, 324.28, 326.70, 324.30, 326.66, 324.28
1969, 05, 25338, 1969.3699, 327.38, 324.48, 327.34, 324.44, 327.38, 324.48
1969, 06, 25369, 1969.4548, 326.71, 324.51, 326.75, 324.57, 326.71, 324.51
1969, 07, 25399, 1969.5370, 325.88, 325.18, 325.36, 324.69, 325.88, 325.18
1969, 08, 25430, 1969.6219, 323.66, 324.97, 323.46, 324.80, 323.66, 324.97
1969, 09, 25461, 1969.7068, 322.38, 325.37, 321.89, 324.90, 322.38, 325.37
1969, 10, 25491, 1969.7890, 321.78, 324.88, 321.90, 324.99, 321.78, 324.88
1969, 11, 25522, 1969.8740, 322.85, 324.79, 323.16, 325.07, 322.85, 324.79
1969, 12, 25552, 1969.9562, 324.12, 324.91, 324.38, 325.15, 324.12, 324.91
1970, 01, 25583, 1970.0411, 325.06, 325.02, 325.29, 325.24, 325.06, 325.02
1970, 02, 25614, 1970.1260, 325.98, 325.33, 325.98, 325.32, 325.98, 325.33
1970, 03, 25642, 1970.2027, 326.93, 325.61, 326.73, 325.39, 326.93, 325.61
1970, 04, 25673, 1970.2877, 328.13, 325.74, 327.88, 325.47, 328.13, 325.74
1970, 05, 25703, 1970.3699, 328.08, 325.16, 328.47, 325.55, 328.08, 325.16
1970, 06, 25734, 1970.4548, 327.67, 325.46, 327.81, 325.63, 327.67, 325.46
1970, 07, 25764, 1970.5370, 326.34, 325.64, 326.37, 325.70, 326.34, 325.64
1970, 08, 25795, 1970.6219, 324.69, 326.00, 324.42, 325.77, 324.69, 326.00
1970, 09, 25826, 1970.7068, 323.10, 326.10, 322.81, 325.83, 323.10, 326.10
1970, 10, 25856, 1970.7890, 323.06, 326.18, 322.78, 325.88, 323.06, 326.18
1970, 11, 25887, 1970.8740, 324.01, 325.95, 324.00, 325.93, 324.01, 325.95
1970, 12, 25917, 1970.9562, 325.13, 325.93, 325.19, 325.97, 325.13, 325.93
1971, 01, 25948, 1971.0411, 326.17, 326.13, 326.06, 326.00, 326.17, 326.13
1971, 02, 25979, 1971.1260, 326.68, 326.03, 326.71, 326.04, 326.68, 326.03
1971, 03, 26007, 1971.2027, 327.17, 325.85, 327.42, 326.08, 327.17, 325.85
1971, 04, 26038, 1971.2877, 327.79, 325.38, 328.55, 326.13, 327.79, 325.38
1971, 05, 26068, 1971.3699, 328.93, 326.00, 329.12, 326.19, 328.93, 326.00
1971, 06, 26099, 1971.4548, 328.57, 326.36, 328.45, 326.26, 328.57, 326.36
1971, 07, 26129, 1971.5370, 327.36, 326.65, 327.00, 326.33, 327.36, 326.65
1971, 08, 26160, 1971.6219, 325.43, 326.75, 325.05, 326.40, 325.43, 326.75
1971, 09, 26191, 1971.7068, 323.36, 326.37, 323.44, 326.47, 323.36, 326.37
1971, 10, 26221, 1971.7890, 323.56, 326.68, 323.43, 326.54, 323.56, 326.68
1971, 11, 26252, 1971.8740, 324.80, 326.75, 324.69, 326.62, 324.80, 326.75
1971, 12, 26282, 1971.9562, 326.01, 326.81, 325.91, 326.69, 326.01, 326.81
1972, 01, 26313, 1972.0410, 326.77, 326.73, 326.83, 326.78, 326.77, 326.73
1972, 02, 26344, 1972.1257, 327.63, 326.98, 327.54, 326.87, 327.63, 326.98
1972, 03, 26373, 1972.2049, 327.75, 326.40, 328.34, 326.97, 327.75, 326.40
1972, 04, 26404, 1972.2896, 329.72, 327.29, 329.54, 327.09, 329.72, 327.29
1972, 05, 26434, 1972.3716, 330.07, 327.13, 330.16, 327.22, 330.07, 327.13
1972, 06, 26465, 1972.4563, 329.09, 326.89, 329.55, 327.37, 329.09, 326.89
1972, 07, 26495, 1972.5383, 328.04, 327.36, 328.18, 327.53, 328.04, 327.36
1972, 08, 26526, 1972.6230, 326.32, 327.67, 326.33, 327.71, 326.32, 327.67
1972, 09, 26557, 1972.7077, 324.84, 327.87, 324.86, 327.91, 324.84, 327.87
1972, 10, 26587, 1972.7896, 325.20, 328.33, 324.99, 328.10, 325.20, 328.33
1972, 11, 26618, 1972.8743, 326.50, 328.45, 326.37, 328.30, 326.50, 328.45
1972, 12, 26648, 1972.9563, 327.55, 328.35, 327.72, 328.50, 327.55, 328.35
1973, 01, 26679, 1973.0411, 328.55, 328.50, 328.77, 328.71, 328.55, 328.50
1973, 02, 26710, 1973.1260, 329.56, 328.90, 329.59, 328.92, 329.56, 328.90
1973, 03, 26738, 1973.2027, 330.30, 328.97, 330.45, 329.10, 330.30, 328.97
1973, 04, 26769, 1973.2877, 331.50, 329.08, 331.73, 329.30, 331.50, 329.08
1973, 05, 26799, 1973.3699, 332.48, 329.53, 332.42, 329.47, 332.48, 329.53
1973, 06, 26830, 1973.4548, 332.07, 329.84, 331.84, 329.63, 332.07, 329.84
1973, 07, 26860, 1973.5370, 330.87, 330.16, 330.45, 329.77, 330.87, 330.16
1973, 08, 26891, 1973.6219, 329.31, 330.64, 328.51, 329.87, 329.31, 330.64
1973, 09, 26922, 1973.7068, 327.51, 330.55, 326.90, 329.95, 327.51, 330.55
1973, 10, 26952, 1973.7890, 327.18, 330.32, 326.88, 330.01, 327.18, 330.32
1973, 11, 26983, 1973.8740, 328.16, 330.13, 328.10, 330.04, 328.16, 330.13
1973, 12, 27013, 1973.9562, 328.64, 329.44, 329.28, 330.06, 328.64, 329.44
1974, 01, 27044, 1974.0411, 329.35, 329.31, 330.14, 330.09, 329.35, 329.31
1974, 02, 27075, 1974.1260, 330.71, 330.05, 330.78, 330.11, 330.71, 330.05
1974, 03, 27103, 1974.2027, 331.48, 330.14, 331.49, 330.14, 331.48, 330.14
1974, 04, 27134, 1974.2877, 332.65, 330.22, 332.62, 330.18, 332.65, 330.22
1974, 05, 27164, 1974.3699, 333.09, 330.13, 333.17, 330.21, 333.09, 330.13
1974, 06, 27195, 1974.4548, 332.25, 330.01, 332.48, 330.26, 332.25, 330.01
1974, 07, 27225, 1974.5370, 331.18, 330.46, 330.99, 330.31, 331.18, 330.46
1974, 08, 27256, 1974.6219, 329.39, 330.73, 328.99, 330.36, 329.39, 330.73
1974, 09, 27287, 1974.7068, 327.43, 330.48, 327.35, 330.41, 327.43, 330.48
1974, 10, 27317, 1974.7890, 327.37, 330.52, 327.32, 330.46, 327.37, 330.52
1974, 11, 27348, 1974.8740, 328.46, 330.43, 328.57, 330.52, 328.46, 330.43
1974, 12, 27378, 1974.9562, 329.57, 330.38, 329.79, 330.58, 329.57, 330.38
1975, 01, 27409, 1975.0411, 330.40, 330.36, 330.71, 330.65, 330.40, 330.36
1975, 02, 27440, 1975.1260, 331.40, 330.74, 331.40, 330.73, 331.40, 330.74
1975, 03, 27468, 1975.2027, 332.04, 330.69, 332.17, 330.81, 332.04, 330.69
1975, 04, 27499, 1975.2877, 333.31, 330.87, 333.36, 330.91, 333.31, 330.87
1975, 05, 27529, 1975.3699, 333.97, 331.00, 333.97, 331.00, 333.97, 331.00
1975, 06, 27560, 1975.4548, 333.60, 331.36, 333.32, 331.10, 333.60, 331.36
1975, 07, 27590, 1975.5370, 331.90, 331.19, 331.88, 331.20, 331.90, 331.19
1975, 08, 27621, 1975.6219, 330.06, 331.39, 329.92, 331.29, 330.06, 331.39
1975, 09, 27652, 1975.7068, 328.56, 331.61, 328.31, 331.38, 328.56, 331.61
1975, 10, 27682, 1975.7890, 328.34, 331.50, 328.32, 331.47, 328.34, 331.50
1975, 11, 27713, 1975.8740, 329.49, 331.47, 329.59, 331.55, 329.49, 331.47
1975, 12, 27743, 1975.9562, 330.76, 331.57, 330.84, 331.63, 330.76, 331.57
1976, 01, 27774, 1976.0410, 331.75, 331.70, 331.77, 331.71, 331.75, 331.70
1976, 02, 27805, 1976.1257, 332.57, 331.90, 332.46, 331.79, 332.57, 331.90
1976, 03, 27834, 1976.2049, 333.50, 332.12, 333.26, 331.87, 333.50, 332.12
1976, 04, 27865, 1976.2896, 334.58, 332.12, 334.43, 331.95, 334.58, 332.12
1976, 05, 27895, 1976.3716, 334.88, 331.90, 335.00, 332.02, 334.88, 331.90
1976, 06, 27926, 1976.4563, 334.33, 332.10, 334.32, 332.11, 334.33, 332.10
1976, 07, 27956, 1976.5383, 333.05, 332.36, 332.85, 332.19, 333.05, 332.36
1976, 08, 27987, 1976.6230, 330.94, 332.31, 330.88, 332.28, 330.94, 332.31
1976, 09, 28018, 1976.7077, 329.30, 332.38, 329.30, 332.39, 329.30, 332.38
1976, 10, 28048, 1976.7896, 328.94, 332.11, 329.34, 332.50, 328.94, 332.11
1976, 11, 28079, 1976.8743, 330.31, 332.29, 330.67, 332.63, 330.31, 332.29
1976, 12, 28109, 1976.9563, 331.68, 332.49, 331.97, 332.77, 331.68, 332.49
1977, 01, 28140, 1977.0411, 332.93, 332.88, 332.99, 332.93, 332.93, 332.88
1977, 02, 28171, 1977.1260, 333.42, 332.75, 333.78, 333.10, 333.42, 332.75
1977, 03, 28199, 1977.2027, 334.70, 333.35, 334.63, 333.27, 334.70, 333.35
1977, 04, 28230, 1977.2877, 336.07, 333.62, 335.92, 333.45, 336.07, 333.62
1977, 05, 28260, 1977.3699, 336.75, 333.76, 336.62, 333.63, 336.75, 333.76
1977, 06, 28291, 1977.4548, 336.27, 334.01, 336.05, 333.81, 336.27, 334.01
1977, 07, 28321, 1977.5370, 334.92, 334.20, 334.67, 333.98, 334.92, 334.20
1977, 08, 28352, 1977.6219, 332.75, 334.10, 332.77, 334.15, 332.75, 334.10
1977, 09, 28383, 1977.7068, 331.59, 334.67, 331.22, 334.31, 331.59, 334.67
1977, 10, 28413, 1977.7890, 331.16, 334.35, 331.28, 334.45, 331.16, 334.35
1977, 11, 28444, 1977.8740, 332.40, 334.40, 332.63, 334.60, 332.40, 334.40
1977, 12, 28474, 1977.9562, 333.85, 334.66, 333.94, 334.73, 333.85, 334.66
1978, 01, 28505, 1978.0411, 334.97, 334.93, 334.93, 334.87, 334.97, 334.93
1978, 02, 28536, 1978.1260, 335.39, 334.72, 335.68, 335.01, 335.39, 334.72
1978, 03, 28564, 1978.2027, 336.64, 335.28, 336.50, 335.12, 336.64, 335.28
1978, 04, 28595, 1978.2877, 337.76, 335.30, 337.73, 335.25, 337.76, 335.30
1978, 05, 28625, 1978.3699, 338.01, 335.02, 338.36, 335.37, 338.01, 335.02
1978, 06, 28656, 1978.4548, 337.90, 335.63, 337.73, 335.49, 337.90, 335.63
1978, 07, 28686, 1978.5370, 336.54, 335.82, 336.28, 335.59, 336.54, 335.82
1978, 08, 28717, 1978.6219, 334.68, 336.03, 334.31, 335.70, 334.68, 336.03
1978, 09, 28748, 1978.7068, 332.76, 335.85, 332.69, 335.79, 332.76, 335.85
1978, 10, 28778, 1978.7890, 332.55, 335.74, 332.70, 335.89, 332.55, 335.74
1978, 11, 28809, 1978.8740, 333.92, 335.92, 334.01, 335.98, 333.92, 335.92
1978, 12, 28839, 1978.9562, 334.95, 335.77, 335.28, 336.08, 334.95, 335.77
1979, 01, 28870, 1979.0411, 336.23, 336.18, 336.24, 336.19, 336.23, 336.18
1979, 02, 28901, 1979.1260, 336.76, 336.09, 336.98, 336.30, 336.76, 336.09
1979, 03, 28929, 1979.2027, 337.96, 336.60, 337.79, 336.41, 337.96, 336.60
1979, 04, 28960, 1979.2877, 338.88, 336.41, 339.02, 336.54, 338.88, 336.41
1979, 05, 28990, 1979.3699, 339.47, 336.47, 339.67, 336.66, 339.47, 336.47
1979, 06, 29021, 1979.4548, 339.29, 337.01, 339.05, 336.80, 339.29, 337.01
1979, 07, 29051, 1979.5370, 337.73, 337.01, 337.63, 336.93, 337.73, 337.01
1979, 08, 29082, 1979.6219, 336.09, 337.44, 335.68, 337.07, 336.09, 337.44
1979, 09, 29113, 1979.7068, 333.92, 337.01, 334.11, 337.22, 333.92, 337.01
1979, 10, 29143, 1979.7890, 333.86, 337.07, 334.17, 337.36, 333.86, 337.07
1979, 11, 29174, 1979.8740, 335.29, 337.30, 335.54, 337.52, 335.29, 337.30
1979, 12, 29204, 1979.9562, 336.73, 337.55, 336.87, 337.68, 336.73, 337.55
1980, 01, 29235, 1980.0410, 338.01, 337.97, 337.90, 337.84, 338.01, 337.97
1980, 02, 29266, 1980.1257, 338.36, 337.69, 338.69, 338.01, 338.36, 337.69
1980, 03, 29295, 1980.2049, 340.07, 338.68, 339.57, 338.17, 340.07, 338.68
1980, 04, 29326, 1980.2896, 340.76, 338.26, 340.85, 338.33, 340.76, 338.26
1980, 05, 29356, 1980.3716, 341.47, 338.45, 341.49, 338.48, 341.47, 338.45
1980, 06, 29387, 1980.4563, 341.17, 338.91, 340.87, 338.63, 341.17, 338.91
1980, 07, 29417, 1980.5383, 339.56, 338.86, 339.43, 338.76, 339.56, 338.86
1980, 08, 29448, 1980.6230, 337.60, 338.99, 337.47, 338.89, 337.60, 338.99
1980, 09, 29479, 1980.7077, 335.88, 339.00, 335.88, 339.01, 335.88, 339.00
1980, 10, 29509, 1980.7896, 336.02, 339.23, 335.93, 339.13, 336.02, 339.23
1980, 11, 29540, 1980.8743, 337.10, 339.11, 337.25, 339.23, 337.10, 339.11
1980, 12, 29570, 1980.9563, 338.21, 339.03, 338.53, 339.34, 338.21, 339.03
1981, 01, 29601, 1981.0411, 339.24, 339.19, 339.50, 339.44, 339.24, 339.19
1981, 02, 29632, 1981.1260, 340.48, 339.80, 340.23, 339.54, 340.48, 339.80
1981, 03, 29660, 1981.2027, 341.38, 340.01, 341.01, 339.63, 341.38, 340.01
1981, 04, 29691, 1981.2877, 342.50, 340.02, 342.22, 339.72, 342.50, 340.02
1981, 05, 29721, 1981.3699, 342.91, 339.89, 342.83, 339.80, 342.91, 339.89
1981, 06, 29752, 1981.4548, 342.25, 339.96, 342.16, 339.89, 342.25, 339.96
1981, 07, 29782, 1981.5370, 340.49, 339.76, 340.67, 339.97, 340.49, 339.76
1981, 08, 29813, 1981.6219, 338.43, 339.80, 338.66, 340.06, 338.43, 339.80
1981, 09, 29844, 1981.7068, 336.69, 339.81, 337.03, 340.16, 336.69, 339.81
1981, 10, 29874, 1981.7890, 336.86, 340.08, 337.05, 340.26, 336.86, 340.08
1981, 11, 29905, 1981.8740, 338.36, 340.38, 338.37, 340.37, 338.36, 340.38
1981, 12, 29935, 1981.9562, 339.61, 340.44, 339.67, 340.48, 339.61, 340.44
1982, 01, 29966, 1982.0411, 340.75, 340.71, 340.65, 340.59, 340.75, 340.71
1982, 02, 29997, 1982.1260, 341.61, 340.94, 341.38, 340.69, 341.61, 340.94
1982, 03, 30025, 1982.2027, 342.70, 341.32, 342.17, 340.78, 342.70, 341.32
1982, 04, 30056, 1982.2877, 343.57, 341.08, 343.38, 340.87, 343.57, 341.08
1982, 05, 30086, 1982.3699, 344.14, 341.10, 343.99, 340.96, 344.14, 341.10
1982, 06, 30117, 1982.4548, 343.35, 341.05, 343.31, 341.04, 343.35, 341.05
1982, 07, 30147, 1982.5370, 342.06, 341.32, 341.81, 341.11, 342.06, 341.32
1982, 08, 30178, 1982.6219, 339.81, 341.18, 339.79, 341.19, 339.81, 341.18
1982, 09, 30209, 1982.7068, 337.98, 341.10, 338.14, 341.28, 337.98, 341.10
1982, 10, 30239, 1982.7890, 337.86, 341.10, 338.15, 341.37, 337.86, 341.10
1982, 11, 30270, 1982.8740, 339.26, 341.29, 339.49, 341.49, 339.26, 341.29
1982, 12, 30300, 1982.9562, 340.49, 341.32, 340.81, 341.62, 340.49, 341.32
1983, 01, 30331, 1983.0411, 341.38, 341.33, 341.83, 341.77, 341.38, 341.33
1983, 02, 30362, 1983.1260, 342.52, 341.84, 342.63, 341.94, 342.52, 341.84
1983, 03, 30390, 1983.2027, 343.10, 341.72, 343.50, 342.11, 343.10, 341.72
1983, 04, 30421, 1983.2877, 344.94, 342.44, 344.82, 342.30, 344.94, 342.44
1983, 05, 30451, 1983.3699, 345.76, 342.71, 345.54, 342.49, 345.76, 342.71
1983, 06, 30482, 1983.4548, 345.32, 343.01, 344.97, 342.68, 345.32, 343.01
1983, 07, 30512, 1983.5370, 343.98, 343.25, 343.56, 342.86, 343.98, 343.25
1983, 08, 30543, 1983.6219, 342.38, 343.75, 341.62, 343.03, 342.38, 343.75
1983, 09, 30574, 1983.7068, 339.87, 343.00, 340.03, 343.19, 339.87, 343.00
1983, 10, 30604, 1983.7890, 339.99, 343.24, 340.10, 343.33, 339.99, 343.24
1983, 11, 30635, 1983.8740, 341.15, 343.19, 341.47, 343.48, 341.15, 343.19
1983, 12, 30665, 1983.9562, 342.99, 343.82, 342.80, 343.62, 342.99, 343.82
1984, 01, 30696, 1984.0410, 343.70, 343.65, 343.81, 343.75, 343.70, 343.65
1984, 02, 30727, 1984.1257, 344.50, 343.83, 344.58, 343.89, 344.50, 343.83
1984, 03, 30756, 1984.2049, 345.28, 343.87, 345.43, 344.01, 345.28, 343.87
1984, 04, 30787, 1984.2896, 347.05, 344.52, 346.69, 344.14, 347.05, 344.52
1984, 05, 30817, 1984.3716, 347.43, 344.38, 347.31, 344.26, 347.43, 344.38
1984, 06, 30848, 1984.4563, 346.80, 344.51, 346.65, 344.38, 346.80, 344.51
1984, 07, 30878, 1984.5383, 345.39, 344.69, 345.17, 344.50, 345.39, 344.69
1984, 08, 30909, 1984.6230, 343.28, 344.68, 343.18, 344.62, 343.28, 344.68
1984, 09, 30940, 1984.7077, 341.07, 344.23, 341.56, 344.74, 341.07, 344.23
1984, 10, 30970, 1984.7896, 341.35, 344.60, 341.62, 344.86, 341.35, 344.60
1984, 11, 31001, 1984.8743, 342.98, 345.01, 342.98, 344.99, 342.98, 345.01
1984, 12, 31031, 1984.9563, 344.22, 345.05, 344.30, 345.12, 344.22, 345.05
1985, 01, 31062, 1985.0411, 344.97, 344.92, 345.31, 345.25, 344.97, 344.92
1985, 02, 31093, 1985.1260, 345.99, 345.31, 346.08, 345.38, 345.99, 345.31
1985, 03, 31121, 1985.2027, 347.42, 346.04, 346.90, 345.50, 347.42, 346.04
1985, 04, 31152, 1985.2877, 348.35, 345.83, 348.15, 345.62, 348.35, 345.83
1985, 05, 31182, 1985.3699, 348.93, 345.86, 348.79, 345.73, 348.93, 345.86
1985, 06, 31213, 1985.4548, 348.25, 345.93, 348.13, 345.83, 348.25, 345.93
1985, 07, 31243, 1985.5370, 346.56, 345.82, 346.63, 345.92, 346.56, 345.82
1985, 08, 31274, 1985.6219, 344.67, 346.06, 344.60, 346.01, 344.67, 346.06
1985, 09, 31305, 1985.7068, 343.09, 346.24, 342.93, 346.10, 343.09, 346.24
1985, 10, 31335, 1985.7890, 342.80, 346.07, 342.93, 346.19, 342.80, 346.07
1985, 11, 31366, 1985.8740, 344.24, 346.29, 344.25, 346.28, 344.24, 346.29
1985, 12, 31396, 1985.9562, 345.56, 346.39, 345.55, 346.37, 345.56, 346.39
1986, 01, 31427, 1986.0411, 346.30, 346.25, 346.53, 346.47, 346.30, 346.25
1986, 02, 31458, 1986.1260, 346.95, 346.27, 347.27, 346.58, 346.95, 346.27
1986, 03, 31486, 1986.2027, 347.85, 346.46, 348.09, 346.68, 347.85, 346.46
1986, 04, 31517, 1986.2877, 349.55, 347.03, 349.35, 346.81, 349.55, 347.03
1986, 05, 31547, 1986.3699, 350.22, 347.14, 350.01, 346.93, 350.22, 347.14
1986, 06, 31578, 1986.4548, 349.55, 347.23, 349.36, 347.06, 349.55, 347.23
1986, 07, 31608, 1986.5370, 347.94, 347.20, 347.89, 347.18, 347.94, 347.20
1986, 08, 31639, 1986.6219, 345.90, 347.29, 345.89, 347.31, 345.90, 347.29
1986, 09, 31670, 1986.7068, 344.85, 348.02, 344.25, 347.44, 344.85, 348.02
1986, 10, 31700, 1986.7890, 344.17, 347.45, 344.29, 347.56, 344.17, 347.45
1986, 11, 31731, 1986.8740, 345.66, 347.71, 345.66, 347.69, 345.66, 347.71
1986, 12, 31761, 1986.9562, 346.90, 347.74, 347.00, 347.82, 346.90, 347.74
1987, 01, 31792, 1987.0411, 348.02, 347.98, 348.03, 347.97, 348.02, 347.98
1987, 02, 31823, 1987.1260, 348.48, 347.79, 348.83, 348.13, 348.48, 347.79
1987, 03, 31851, 1987.2027, 349.42, 348.02, 349.69, 348.28, 349.42, 348.02
1987, 04, 31882, 1987.2877, 350.98, 348.45, 351.01, 348.47, 350.98, 348.45
1987, 05, 31912, 1987.3699, 351.85, 348.76, 351.74, 348.65, 351.85, 348.76
1987, 06, 31943, 1987.4548, 351.26, 348.92, 351.17, 348.86, 351.26, 348.92
1987, 07, 31973, 1987.5370, 349.51, 348.77, 349.77, 349.06, 349.51, 348.77
1987, 08, 32004, 1987.6219, 348.10, 349.49, 347.85, 349.27, 348.10, 349.49
1987, 09, 32035, 1987.7068, 346.45, 349.62, 346.30, 349.50, 346.45, 349.62
1987, 10, 32065, 1987.7890, 346.36, 349.65, 346.43, 349.71, 346.36, 349.65
1987, 11, 32096, 1987.8740, 347.81, 349.87, 347.90, 349.94, 347.81, 349.87
1987, 12, 32126, 1987.9562, 348.96, 349.81, 349.33, 350.16, 348.96, 349.81
1988, 01, 32157, 1988.0410, 350.43, 350.39, 350.44, 350.38, 350.43, 350.39
1988, 02, 32188, 1988.1257, 351.73, 351.04, 351.31, 350.61, 351.73, 351.04
1988, 03, 32217, 1988.2049, 352.22, 350.79, 352.25, 350.81, 352.22, 350.79
1988, 04, 32248, 1988.2896, 353.59, 351.02, 353.60, 351.02, 353.59, 351.02
1988, 05, 32278, 1988.3716, 354.22, 351.12, 354.30, 351.21, 354.22, 351.12
1988, 06, 32309, 1988.4563, 353.80, 351.48, 353.69, 351.40, 353.80, 351.48
1988, 07, 32339, 1988.5383, 352.38, 351.66, 352.25, 351.57, 352.38, 351.66
1988, 08, 32370, 1988.6230, 350.43, 351.85, 350.28, 351.73, 350.43, 351.85
1988, 09, 32401, 1988.7077, 348.73, 351.92, 348.67, 351.89, 348.73, 351.92
1988, 10, 32431, 1988.7896, 348.88, 352.18, 348.74, 352.02, 348.88, 352.18
1988, 11, 32462, 1988.8743, 350.07, 352.13, 350.12, 352.15, 350.07, 352.13
1988, 12, 32492, 1988.9563, 351.34, 352.18, 351.45, 352.27, 351.34, 352.18
1989, 01, 32523, 1989.0411, 352.76, 352.71, 352.44, 352.39, 352.76, 352.71
1989, 02, 32554, 1989.1260, 353.07, 352.38, 353.20, 352.49, 353.07, 352.38
1989, 03, 32582, 1989.2027, 353.68, 352.27, 354.01, 352.59, 353.68, 352.27
1989, 04, 32613, 1989.2877, 355.42, 352.87, 355.26, 352.69, 355.42, 352.87
1989, 05, 32643, 1989.3699, 355.67, 352.56, 355.89, 352.79, 355.67, 352.56
1989, 06, 32674, 1989.4548, 355.12, 352.77, 355.21, 352.89, 355.12, 352.77
1989, 07, 32704, 1989.5370, 353.90, 353.15, 353.70, 352.98, 353.90, 353.15
1989, 08, 32735, 1989.6219, 351.67, 353.07, 351.64, 353.08, 351.67, 353.07
1989, 09, 32766, 1989.7068, 349.81, 353.00, 349.96, 353.18, 349.81, 353.00
1989, 10, 32796, 1989.7890, 349.99, 353.30, 349.97, 353.27, 349.99, 353.30
1989, 11, 32827, 1989.8740, 351.30, 353.37, 351.32, 353.37, 351.30, 353.37
1989, 12, 32857, 1989.9562, 352.52, 353.37, 352.64, 353.47, 352.52, 353.37
1990, 01, 32888, 1990.0411, 353.66, 353.62, 353.63, 353.57, 353.66, 353.62
1990, 02, 32919, 1990.1260, 354.70, 354.00, 354.38, 353.68, 354.70, 354.00
1990, 03, 32947, 1990.2027, 355.38, 353.98, 355.19, 353.77, 355.38, 353.98
1990, 04, 32978, 1990.2877, 356.20, 353.64, 356.45, 353.87, 356.20, 353.64
1990, 05, 33008, 1990.3699, 357.16, 354.04, 357.09, 353.98, 357.16, 354.04
1990, 06, 33039, 1990.4548, 356.23, 353.87, 356.43, 354.09, 356.23, 353.87
1990, 07, 33069, 1990.5370, 354.81, 354.06, 354.93, 354.21, 354.81, 354.06
1990, 08, 33100, 1990.6219, 352.91, 354.31, 352.90, 354.34, 352.91, 354.31
1990, 09, 33131, 1990.7068, 350.96, 354.17, 351.26, 354.48, 350.96, 354.17
1990, 10, 33161, 1990.7890, 351.18, 354.50, 351.31, 354.62, 351.18, 354.50
1990, 11, 33192, 1990.8740, 352.83, 354.91, 352.72, 354.77, 352.83, 354.91
1990, 12, 33222, 1990.9562, 354.21, 355.06, 354.09, 354.92, 354.21, 355.06
1991, 01, 33253, 1991.0411, 354.72, 354.68, 355.13, 355.07, 354.72, 354.68
1991, 02, 33284, 1991.1260, 355.75, 355.05, 355.92, 355.21, 355.75, 355.05
1991, 03, 33312, 1991.2027, 357.16, 355.74, 356.76, 355.33, 357.16, 355.74
1991, 04, 33343, 1991.2877, 358.60, 356.03, 358.03, 355.44, 358.60, 356.03
1991, 05, 33373, 1991.3699, 359.34, 356.21, 358.66, 355.54, 359.34, 356.21
1991, 06, 33404, 1991.4548, 358.24, 355.88, 357.96, 355.61, 358.24, 355.88
1991, 07, 33434, 1991.5370, 356.17, 355.42, 356.40, 355.68, 356.17, 355.42
1991, 08, 33465, 1991.6219, 354.01, 355.42, 354.29, 355.74, 354.01, 355.42
1991, 09, 33496, 1991.7068, 352.15, 355.37, 352.56, 355.80, 352.15, 355.37
1991, 10, 33526, 1991.7890, 352.21, 355.55, 352.54, 355.86, 352.21, 355.55
1991, 11, 33557, 1991.8740, 353.75, 355.83, 353.86, 355.92, 353.75, 355.83
1991, 12, 33587, 1991.9562, 354.99, 355.84, 355.15, 355.99, 354.99, 355.84
1992, 01, 33618, 1992.0410, 355.99, 355.94, 356.12, 356.06, 355.99, 355.94
1992, 02, 33649, 1992.1257, 356.72, 356.02, 356.84, 356.13, 356.72, 356.02
1992, 03, 33678, 1992.2049, 357.81, 356.36, 357.65, 356.19, 357.81, 356.36
1992, 04, 33709, 1992.2896, 359.15, 356.55, 358.87, 356.26, 359.15, 356.55
1992, 05, 33739, 1992.3716, 359.66, 356.53, 359.44, 356.31, 359.66, 356.53
1992, 06, 33770, 1992.4563, 359.25, 356.90, 358.68, 356.35, 359.25, 356.90
1992, 07, 33800, 1992.5383, 357.02, 356.30, 357.08, 356.39, 357.02, 356.30
1992, 08, 33831, 1992.6230, 355.00, 356.44, 354.95, 356.42, 355.00, 356.44
1992, 09, 33862, 1992.7077, 353.01, 356.25, 353.20, 356.45, 353.01, 356.25
1992, 10, 33892, 1992.7896, 353.31, 356.64, 353.16, 356.49, 353.31, 356.64
1992, 11, 33923, 1992.8743, 354.16, 356.25, 354.46, 356.52, 354.16, 356.25
1992, 12, 33953, 1992.9563, 355.40, 356.25, 355.73, 356.57, 355.40, 356.25
1993, 01, 33984, 1993.0411, 356.70, 356.66, 356.68, 356.62, 356.70, 356.66
1993, 02, 34015, 1993.1260, 357.17, 356.46, 357.39, 356.68, 357.17, 356.46
1993, 03, 34043, 1993.2027, 358.38, 356.95, 358.18, 356.74, 358.38, 356.95
1993, 04, 34074, 1993.2877, 359.46, 356.88, 359.42, 356.82, 359.46, 356.88
1993, 05, 34104, 1993.3699, 360.28, 357.13, 360.04, 356.90, 360.28, 357.13
1993, 06, 34135, 1993.4548, 359.60, 357.21, 359.35, 356.99, 359.60, 357.21
1993, 07, 34165, 1993.5370, 357.57, 356.81, 357.81, 357.08, 357.57, 356.81
1993, 08, 34196, 1993.6219, 355.52, 356.94, 355.74, 357.20, 355.52, 356.94
1993, 09, 34227, 1993.7068, 353.69, 356.93, 354.07, 357.32, 353.69, 356.93
1993, 10, 34257, 1993.7890, 353.99, 357.34, 354.12, 357.46, 353.99, 357.34
1993, 11, 34288, 1993.8740, 355.34, 357.44, 355.54, 357.61, 355.34, 357.44
1993, 12, 34318, 1993.9562, 356.80, 357.66, 356.93, 357.77, 356.80, 357.66
1994, 01, 34349, 1994.0411, 358.37, 358.32, 358.00, 357.94, 358.37, 358.32
1994, 02, 34380, 1994.1260, 358.91, 358.21, 358.82, 358.10, 358.91, 358.21
1994, 03, 34408, 1994.2027, 359.97, 358.54, 359.70, 358.26, 359.97, 358.54
1994, 04, 34439, 1994.2877, 361.26, 358.67, 361.03, 358.42, 361.26, 358.67
1994, 05, 34469, 1994.3699, 361.69, 358.53, 361.74, 358.58, 361.69, 358.53
1994, 06, 34500, 1994.4548, 360.94, 358.56, 361.12, 358.75, 360.94, 358.56
1994, 07, 34530, 1994.5370, 359.55, 358.79, 359.64, 358.91, 359.55, 358.79
1994, 08, 34561, 1994.6219, 357.48, 358.90, 357.63, 359.09, 357.48, 358.90
1994, 09, 34592, 1994.7068, 355.84, 359.09, 356.00, 359.26, 355.84, 359.09
1994, 10, 34622, 1994.7890, 356.00, 359.36, 356.09, 359.44, 356.00, 359.36
1994, 11, 34653, 1994.8740, 357.58, 359.69, 357.54, 359.62, 357.58, 359.69
1994, 12, 34683, 1994.9562, 359.04, 359.90, 358.96, 359.80, 359.04, 359.90
1995, 01, 34714, 1995.0411, 359.97, 359.92, 360.05, 359.99, 359.97, 359.92
1995, 02, 34745, 1995.1260, 361.00, 360.30, 360.88, 360.17, 361.00, 360.30
1995, 03, 34773, 1995.2027, 361.63, 360.20, 361.77, 360.33, 361.63, 360.20
1995, 04, 34804, 1995.2877, 363.45, 360.85, 363.11, 360.50, 363.45, 360.85
1995, 05, 34834, 1995.3699, 363.80, 360.63, 363.83, 360.66, 363.80, 360.63
1995, 06, 34865, 1995.4548, 363.26, 360.87, 363.20, 360.83, 363.26, 360.87
1995, 07, 34895, 1995.5370, 361.89, 361.13, 361.71, 360.98, 361.89, 361.13
1995, 08, 34926, 1995.6219, 359.45, 360.88, 359.68, 361.15, 359.45, 360.88
1995, 09, 34957, 1995.7068, 358.05, 361.31, 358.03, 361.31, 358.05, 361.31
1995, 10, 34987, 1995.7890, 357.75, 361.13, 358.10, 361.46, 357.75, 361.13
1995, 11, 35018, 1995.8740, 359.56, 361.68, 359.53, 361.62, 359.56, 361.68
1995, 12, 35048, 1995.9562, 360.70, 361.56, 360.93, 361.78, 360.70, 361.56
1996, 01, 35079, 1996.0410, 362.05, 362.00, 361.99, 361.93, 362.05, 362.00
1996, 02, 35110, 1996.1257, 363.24, 362.54, 362.79, 362.08, 363.24, 362.54
1996, 03, 35139, 1996.2049, 364.02, 362.56, 363.68, 362.20, 364.02, 362.56
1996, 04, 35170, 1996.2896, 364.71, 362.08, 364.98, 362.33, 364.71, 362.08
1996, 05, 35200, 1996.3716, 365.42, 362.24, 365.62, 362.44, 365.42, 362.24
1996, 06, 35231, 1996.4563, 364.97, 362.59, 364.91, 362.55, 364.97, 362.59
1996, 07, 35261, 1996.5383, 363.65, 362.91, 363.35, 362.65, 363.65, 362.91
1996, 08, 35292, 1996.6230, 361.48, 362.94, 361.25, 362.74, 361.48, 362.94
1996, 09, 35323, 1996.7077, 359.45, 362.73, 359.53, 362.83, 359.45, 362.73
1996, 10, 35353, 1996.7896, 359.61, 362.99, 359.54, 362.91, 359.61, 362.99
1996, 11, 35384, 1996.8743, 360.76, 362.87, 360.89, 362.98, 360.76, 362.87
1996, 12, 35414, 1996.9563, 362.33, 363.19, 362.21, 363.06, 362.33, 363.19
1997, 01, 35445, 1997.0411, 363.19, 363.14, 363.20, 363.14, 363.19, 363.14
1997, 02, 35476, 1997.1260, 363.99, 363.28, 363.95, 363.23, 363.99, 363.28
1997, 03, 35504, 1997.2027, 364.56, 363.12, 364.77, 363.31, 364.56, 363.12
1997, 04, 35535, 1997.2877, 366.36, 363.74, 366.05, 363.42, 366.36, 363.74
1997, 05, 35565, 1997.3699, 366.80, 363.61, 366.72, 363.53, 366.80, 363.61
1997, 06, 35596, 1997.4548, 365.63, 363.22, 366.06, 363.67, 365.63, 363.22
1997, 07, 35626, 1997.5370, 364.47, 363.70, 364.55, 363.82, 364.47, 363.70
1997, 08, 35657, 1997.6219, 362.50, 363.94, 362.52, 364.00, 362.50, 363.94
1997, 09, 35688, 1997.7068, 360.19, 363.47, 360.90, 364.20, 360.19, 363.47
1997, 10, 35718, 1997.7890, 360.78, 364.17, 361.03, 364.41, 360.78, 364.17
1997, 11, 35749, 1997.8740, 362.43, 364.56, 362.55, 364.66, 362.43, 364.56
1997, 12, 35779, 1997.9562, 364.28, 365.14, 364.06, 364.91, 364.28, 365.14
1998, 01, 35810, 1998.0411, 365.33, 365.28, 365.24, 365.18, 365.33, 365.28
1998, 02, 35841, 1998.1260, 366.15, 365.44, 366.17, 365.45, 366.15, 365.44
1998, 03, 35869, 1998.2027, 367.31, 365.87, 367.16, 365.70, 367.31, 365.87
1998, 04, 35900, 1998.2877, 368.61, 365.99, 368.62, 365.98, 368.61, 365.99
1998, 05, 35930, 1998.3699, 369.30, 366.11, 369.43, 366.24, 369.30, 366.11
1998, 06, 35961, 1998.4548, 368.88, 366.46, 368.90, 366.50, 368.88, 366.46
1998, 07, 35991, 1998.5370, 367.64, 366.87, 367.48, 366.74, 367.64, 366.87
1998, 08, 36022, 1998.6219, 365.78, 367.22, 365.50, 366.98, 365.78, 367.22
1998, 09, 36053, 1998.7068, 363.90, 367.19, 363.89, 367.20, 363.90, 367.19
1998, 10, 36083, 1998.7890, 364.23, 367.64, 363.99, 367.39, 364.23, 367.64
1998, 11, 36114, 1998.8740, 365.46, 367.59, 365.45, 367.56, 365.46, 367.59
1998, 12, 36144, 1998.9562, 366.97, 367.84, 366.86, 367.71, 366.97, 367.84
1999, 01, 36175, 1999.0411, 368.15, 368.10, 367.91, 367.85, 368.15, 368.10
1999, 02, 36206, 1999.1260, 368.87, 368.16, 368.68, 367.96, 368.87, 368.16
1999, 03, 36234, 1999.2027, 369.59, 368.14, 369.51, 368.04, 369.59, 368.14
1999, 04, 36265, 1999.2877, 371.14, 368.51, 370.77, 368.13, 371.14, 368.51
1999, 05, 36295, 1999.3699, 371.00, 367.80, 371.40, 368.19, 371.00, 367.80
1999, 06, 36326, 1999.4548, 370.35, 367.93, 370.67, 368.26, 370.35, 367.93
1999, 07, 36356, 1999.5370, 369.27, 368.49, 369.07, 368.33, 369.27, 368.49
1999, 08, 36387, 1999.6219, 366.93, 368.37, 366.92, 368.40, 366.93, 368.37
1999, 09, 36418, 1999.7068, 364.64, 367.94, 365.16, 368.47, 364.64, 367.94
1999, 10, 36448, 1999.7890, 365.13, 368.55, 365.15, 368.55, 365.13, 368.55
1999, 11, 36479, 1999.8740, 366.68, 368.81, 366.52, 368.64, 366.68, 368.81
1999, 12, 36509, 1999.9562, 368.00, 368.88, 367.87, 368.72, 368.00, 368.88
2000, 01, 36540, 2000.0410, 369.14, 369.09, 368.87, 368.81, 369.14, 369.09
2000, 02, 36571, 2000.1257, 369.46, 368.75, 369.63, 368.91, 369.46, 368.75
2000, 03, 36600, 2000.2049, 370.51, 369.03, 370.50, 369.00, 370.51, 369.03
2000, 04, 36631, 2000.2896, 371.66, 369.00, 371.80, 369.11, 371.66, 369.00
2000, 05, 36661, 2000.3716, 371.83, 368.61, 372.44, 369.23, 371.83, 368.61
2000, 06, 36692, 2000.4563, 371.69, 369.28, 371.75, 369.36, 371.69, 369.28
2000, 07, 36722, 2000.5383, 370.12, 369.37, 370.21, 369.49, 370.12, 369.37
2000, 08, 36753, 2000.6230, 368.12, 369.60, 368.12, 369.64, 368.12, 369.60
2000, 09, 36784, 2000.7077, 366.62, 369.94, 366.45, 369.79, 366.62, 369.94
2000, 10, 36814, 2000.7896, 366.73, 370.15, 366.52, 369.93, 366.73, 370.15
2000, 11, 36845, 2000.8743, 368.29, 370.43, 367.95, 370.07, 368.29, 370.43
2000, 12, 36875, 2000.9563, 369.52, 370.40, 369.34, 370.20, 369.52, 370.40
2001, 01, 36906, 2001.0411, 370.28, 370.23, 370.38, 370.32, 370.28, 370.23
2001, 02, 36937, 2001.1260, 371.50, 370.78, 371.17, 370.44, 371.50, 370.78
2001, 03, 36965, 2001.2027, 372.12, 370.66, 372.03, 370.55, 372.12, 370.66
2001, 04, 36996, 2001.2877, 372.86, 370.21, 373.33, 370.67, 372.86, 370.21
2001, 05, 37026, 2001.3699, 374.02, 370.79, 374.01, 370.79, 374.02, 370.79
2001, 06, 37057, 2001.4548, 373.31, 370.87, 373.34, 370.92, 373.31, 370.87
2001, 07, 37087, 2001.5370, 371.62, 370.84, 371.79, 371.05, 371.62, 370.84
2001, 08, 37118, 2001.6219, 369.55, 371.00, 369.70, 371.20, 369.55, 371.00
2001, 09, 37149, 2001.7068, 367.96, 371.28, 368.01, 371.35, 367.96, 371.28
2001, 10, 37179, 2001.7890, 368.09, 371.53, 368.08, 371.50, 368.09, 371.53
2001, 11, 37210, 2001.8740, 369.68, 371.83, 369.54, 371.67, 369.68, 371.83
2001, 12, 37240, 2001.9562, 371.24, 372.12, 370.97, 371.83, 371.24, 372.12
2002, 01, 37271, 2002.0411, 372.44, 372.39, 372.06, 372.00, 372.44, 372.39
2002, 02, 37302, 2002.1260, 373.08, 372.36, 372.90, 372.17, 373.08, 372.36
2002, 03, 37330, 2002.2027, 373.52, 372.05, 373.81, 372.33, 373.52, 372.05
2002, 04, 37361, 2002.2877, 374.85, 372.20, 375.19, 372.52, 374.85, 372.20
2002, 05, 37391, 2002.3699, 375.55, 372.31, 375.94, 372.71, 375.55, 372.31
2002, 06, 37422, 2002.4548, 375.40, 372.95, 375.35, 372.92, 375.40, 372.95
2002, 07, 37452, 2002.5370, 374.02, 373.24, 373.88, 373.13, 374.02, 373.24
2002, 08, 37483, 2002.6219, 371.48, 372.94, 371.86, 373.36, 371.48, 372.94
2002, 09, 37514, 2002.7068, 370.70, 374.03, 370.24, 373.59, 370.70, 374.03
2002, 10, 37544, 2002.7890, 370.25, 373.70, 370.38, 373.82, 370.25, 373.70
2002, 11, 37575, 2002.8740, 372.08, 374.24, 371.92, 374.05, 372.08, 374.24
2002, 12, 37605, 2002.9562, 373.78, 374.66, 373.41, 374.28, 373.78, 374.66
2003, 01, 37636, 2003.0411, 374.68, 374.63, 374.56, 374.50, 374.68, 374.63
2003, 02, 37667, 2003.1260, 375.62, 374.90, 375.45, 374.72, 375.62, 374.90
2003, 03, 37695, 2003.2027, 376.11, 374.64, 376.40, 374.91, 376.11, 374.64
2003, 04, 37726, 2003.2877, 377.65, 374.99, 377.81, 375.12, 377.65, 374.99
2003, 05, 37756, 2003.3699, 378.35, 375.11, 378.57, 375.33, 378.35, 375.11
2003, 06, 37787, 2003.4548, 378.13, 375.67, 377.96, 375.53, 378.13, 375.67
2003, 07, 37817, 2003.5370, 376.60, 375.82, 376.47, 375.72, 376.60, 375.82
2003, 08, 37848, 2003.6219, 374.48, 375.95, 374.41, 375.91, 374.48, 375.95
2003, 09, 37879, 2003.7068, 372.98, 376.32, 372.73, 376.09, 372.98, 376.32
2003, 10, 37909, 2003.7890, 373.00, 376.46, 372.81, 376.26, 373.00, 376.46
2003, 11, 37940, 2003.8740, 374.35, 376.51, 374.28, 376.42, 374.35, 376.51
2003, 12, 37970, 2003.9562, 375.69, 376.57, 375.70, 376.56, 375.69, 376.57
2004, 01, 38001, 2004.0410, 376.79, 376.74, 376.76, 376.70, 376.79, 376.74
2004, 02, 38032, 2004.1257, 377.37, 376.64, 377.57, 376.84, 377.37, 376.64
2004, 03, 38061, 2004.2049, 378.39, 376.89, 378.47, 376.95, 378.39, 376.89
2004, 04, 38092, 2004.2896, 380.50, 377.80, 379.79, 377.07, 380.50, 377.80
2004, 05, 38122, 2004.3716, 380.62, 377.36, 380.44, 377.19, 380.62, 377.36
2004, 06, 38153, 2004.4563, 379.55, 377.11, 379.72, 377.30, 379.55, 377.11
2004, 07, 38183, 2004.5383, 377.76, 377.01, 378.14, 377.42, 377.76, 377.01
2004, 08, 38214, 2004.6230, 375.83, 377.33, 376.03, 377.56, 375.83, 377.33
2004, 09, 38245, 2004.7077, 374.05, 377.41, 374.33, 377.71, 374.05, 377.41
2004, 10, 38275, 2004.7896, 374.22, 377.69, 374.42, 377.87, 374.22, 377.69
2004, 11, 38306, 2004.8743, 375.84, 378.01, 375.91, 378.05, 375.84, 378.01
2004, 12, 38336, 2004.9563, 377.44, 378.33, 377.37, 378.24, 377.44, 378.33
2005, 01, 38367, 2005.0411, 378.34, 378.29, 378.50, 378.44, 378.34, 378.29
2005, 02, 38398, 2005.1260, 379.61, 378.88, 379.39, 378.65, 379.61, 378.88
2005, 03, 38426, 2005.2027, 380.08, 378.61, 380.34, 378.85, 380.08, 378.61
2005, 04, 38457, 2005.2877, 382.05, 379.37, 381.77, 379.07, 382.05, 379.37
2005, 05, 38487, 2005.3699, 382.24, 378.97, 382.55, 379.28, 382.24, 378.97
2005, 06, 38518, 2005.4548, 382.08, 379.61, 381.95, 379.50, 382.08, 379.61
2005, 07, 38548, 2005.5370, 380.66, 379.88, 380.47, 379.72, 380.66, 379.88
2005, 08, 38579, 2005.6219, 378.67, 380.14, 378.42, 379.93, 378.67, 380.14
2005, 09, 38610, 2005.7068, 376.42, 379.78, 376.76, 380.14, 376.42, 379.78
2005, 10, 38640, 2005.7890, 376.80, 380.28, 376.87, 380.34, 376.80, 380.28
2005, 11, 38671, 2005.8740, 378.31, 380.49, 378.38, 380.54, 378.31, 380.49
2005, 12, 38701, 2005.9562, 379.96, 380.85, 379.85, 380.72, 379.96, 380.85
2006, 01, 38732, 2006.0411, 381.37, 381.32, 380.97, 380.91, 381.37, 381.32
2006, 02, 38763, 2006.1260, 382.02, 381.29, 381.82, 381.08, 382.02, 381.29
2006, 03, 38791, 2006.2027, 382.56, 381.08, 382.72, 381.23, 382.56, 381.08
2006, 04, 38822, 2006.2877, 384.36, 381.68, 384.09, 381.38, 384.36, 381.68
2006, 05, 38852, 2006.3699, 384.92, 381.64, 384.80, 381.53, 384.92, 381.64
2006, 06, 38883, 2006.4548, 384.03, 381.55, 384.13, 381.67, 384.03, 381.55
2006, 07, 38913, 2006.5370, 382.28, 381.49, 382.57, 381.82, 382.28, 381.49
2006, 08, 38944, 2006.6219, 380.48, 381.95, 380.45, 381.97, 380.48, 381.95
2006, 09, 38975, 2006.7068, 378.81, 382.18, 378.72, 382.11, 378.81, 382.18
2006, 10, 39005, 2006.7890, 379.06, 382.55, 378.78, 382.26, 379.06, 382.55
2006, 11, 39036, 2006.8740, 380.14, 382.33, 380.25, 382.41, 380.14, 382.33
2006, 12, 39066, 2006.9562, 381.66, 382.55, 381.68, 382.56, 381.66, 382.55
2007, 01, 39097, 2007.0411, 382.58, 382.53, 382.77, 382.71, 382.58, 382.53
2007, 02, 39128, 2007.1260, 383.71, 382.98, 383.61, 382.86, 383.71, 382.98
2007, 03, 39156, 2007.2027, 384.34, 382.85, 384.51, 383.01, 384.34, 382.85
2007, 04, 39187, 2007.2877, 386.23, 383.53, 385.88, 383.16, 386.23, 383.53
2007, 05, 39217, 2007.3699, 386.41, 383.13, 386.61, 383.32, 386.41, 383.13
2007, 06, 39248, 2007.4548, 385.87, 383.39, 385.95, 383.48, 385.87, 383.39
2007, 07, 39278, 2007.5370, 384.44, 383.65, 384.40, 383.64, 384.44, 383.65
2007, 08, 39309, 2007.6219, 381.84, 383.32, 382.29, 383.81, 381.84, 383.32
2007, 09, 39340, 2007.7068, 380.86, 384.25, 380.57, 383.97, 380.86, 384.25
2007, 10, 39370, 2007.7890, 380.86, 384.36, 380.64, 384.13, 380.86, 384.36
2007, 11, 39401, 2007.8740, 382.36, 384.55, 382.12, 384.28, 382.36, 384.55
2007, 12, 39431, 2007.9562, 383.61, 384.51, 383.55, 384.43, 383.61, 384.51
2008, 01, 39462, 2008.0410, 385.07, 385.02, 384.64, 384.58, 385.07, 385.02
2008, 02, 39493, 2008.1257, 385.84, 385.11, 385.46, 384.72, 385.84, 385.11
2008, 03, 39522, 2008.2049, 385.83, 384.31, 386.40, 384.86, 385.83, 384.31
2008, 04, 39553, 2008.2896, 386.77, 384.04, 387.76, 385.01, 386.77, 384.04
2008, 05, 39583, 2008.3716, 388.51, 385.22, 388.46, 385.17, 388.51, 385.22
2008, 06, 39614, 2008.4563, 388.05, 385.58, 387.78, 385.34, 388.05, 385.58
2008, 07, 39644, 2008.5383, 386.25, 385.49, 386.23, 385.50, 386.25, 385.49
2008, 08, 39675, 2008.6230, 384.08, 385.60, 384.12, 385.67, 384.08, 385.60
2008, 09, 39706, 2008.7077, 383.09, 386.49, 382.42, 385.84, 383.09, 386.49
2008, 10, 39736, 2008.7896, 382.78, 386.28, 382.50, 386.00, 382.78, 386.28
2008, 11, 39767, 2008.8743, 384.01, 386.20, 383.99, 386.16, 384.01, 386.20
2008, 12, 39797, 2008.9563, 385.11, 386.01, 385.43, 386.30, 385.11, 386.01
2009, 01, 39828, 2009.0411, 386.65, 386.61, 386.52, 386.46, 386.65, 386.61
2009, 02, 39859, 2009.1260, 387.12, 386.39, 387.37, 386.62, 387.12, 386.39
2009, 03, 39887, 2009.2027, 388.52, 387.02, 388.27, 386.76, 388.52, 387.02
2009, 04, 39918, 2009.2877, 389.57, 386.86, 389.66, 386.93, 389.57, 386.86
2009, 05, 39948, 2009.3699, 390.17, 386.86, 390.40, 387.09, 390.17, 386.86
2009, 06, 39979, 2009.4548, 389.62, 387.12, 389.75, 387.28, 389.62, 387.12
2009, 07, 40009, 2009.5370, 388.07, 387.27, 388.22, 387.46, 388.07, 387.27
2009, 08, 40040, 2009.6219, 386.08, 387.57, 386.14, 387.66, 386.08, 387.57
2009, 09, 40071, 2009.7068, 384.65, 388.06, 384.45, 387.87, 384.65, 388.06
2009, 10, 40101, 2009.7890, 384.33, 387.85, 384.57, 388.08, 384.33, 387.85
2009, 11, 40132, 2009.8740, 386.05, 388.25, 386.13, 388.31, 386.05, 388.25
2009, 12, 40162, 2009.9562, 387.49, 388.39, 387.64, 388.53, 387.49, 388.39
2010, 01, 40193, 2010.0411, 388.55, 388.50, 388.82, 388.76, 388.55, 388.50
2010, 02, 40224, 2010.1260, 390.08, 389.34, 389.73, 388.98, 390.08, 389.34
2010, 03, 40252, 2010.2027, 391.01, 389.51, 390.69, 389.17, 391.01, 389.51
2010, 04, 40283, 2010.2877, 392.38, 389.66, 392.12, 389.38, 392.38, 389.66
2010, 05, 40313, 2010.3699, 393.22, 389.90, 392.89, 389.57, 393.22, 389.90
2010, 06, 40344, 2010.4548, 392.24, 389.73, 392.24, 389.76, 392.24, 389.73
2010, 07, 40374, 2010.5370, 390.33, 389.53, 390.69, 389.93, 390.33, 389.53
2010, 08, 40405, 2010.6219, 388.52, 390.01, 388.57, 390.10, 388.52, 390.01
2010, 09, 40436, 2010.7068, 386.84, 390.25, 386.84, 390.27, 386.84, 390.25
2010, 10, 40466, 2010.7890, 387.16, 390.70, 386.90, 390.42, 387.16, 390.70
2010, 11, 40497, 2010.8740, 388.67, 390.88, 388.38, 390.57, 388.67, 390.88
2010, 12, 40527, 2010.9562, 389.81, 390.71, 389.82, 390.71, 389.81, 390.71
2011, 01, 40558, 2011.0411, 391.30, 391.25, 390.90, 390.84, 391.30, 391.25
2011, 02, 40589, 2011.1260, 391.92, 391.18, 391.72, 390.97, 391.92, 391.18
2011, 03, 40617, 2011.2027, 392.45, 390.95, 392.61, 391.08, 392.45, 390.95
2011, 04, 40648, 2011.2877, 393.37, 390.64, 393.97, 391.22, 393.37, 390.64
2011, 05, 40678, 2011.3699, 394.28, 390.96, 394.69, 391.36, 394.28, 390.96
2011, 06, 40709, 2011.4548, 393.69, 391.18, 394.01, 391.52, 393.69, 391.18
2011, 07, 40739, 2011.5370, 392.59, 391.79, 392.45, 391.68, 392.59, 391.79
2011, 08, 40770, 2011.6219, 390.21, 391.71, 390.32, 391.86, 390.21, 391.71
2011, 09, 40801, 2011.7068, 389.00, 392.43, 388.60, 392.04, 389.00, 392.43
2011, 10, 40831, 2011.7890, 388.93, 392.48, 388.69, 392.22, 388.93, 392.48
2011, 11, 40862, 2011.8740, 390.24, 392.46, 390.21, 392.40, 390.24, 392.46
2011, 12, 40892, 2011.9562, 391.80, 392.71, 391.69, 392.58, 391.80, 392.71
2012, 01, 40923, 2012.0410, 393.07, 393.02, 392.82, 392.76, 393.07, 393.02
2012, 02, 40954, 2012.1257, 393.35, 392.61, 393.70, 392.95, 393.35, 392.61
2012, 03, 40983, 2012.2049, 394.36, 392.82, 394.69, 393.13, 394.36, 392.82
2012, 04, 41014, 2012.2896, 396.43, 393.66, 396.11, 393.33, 396.43, 393.66
2012, 05, 41044, 2012.3716, 396.87, 393.53, 396.87, 393.53, 396.87, 393.53
2012, 06, 41075, 2012.4563, 395.88, 393.38, 396.23, 393.75, 395.88, 393.38
2012, 07, 41105, 2012.5383, 394.52, 393.75, 394.71, 393.97, 394.52, 393.75
2012, 08, 41136, 2012.6230, 392.54, 394.07, 392.64, 394.21, 392.54, 394.07
2012, 09, 41167, 2012.7077, 391.13, 394.57, 390.98, 394.45, 391.13, 394.57
2012, 10, 41197, 2012.7896, 391.01, 394.56, 391.15, 394.68, 391.01, 394.56
2012, 11, 41228, 2012.8743, 392.95, 395.17, 392.73, 394.93, 392.95, 395.17
2012, 12, 41258, 2012.9563, 394.33, 395.24, 394.27, 395.16, 394.33, 395.24
2013, 01, 41289, 2013.0411, 395.61, 395.55, 395.45, 395.39, 395.61, 395.55
2013, 02, 41320, 2013.1260, 396.85, 396.10, 396.37, 395.62, 396.85, 396.10
2013, 03, 41348, 2013.2027, 397.26, 395.75, 397.35, 395.82, 397.26, 395.75
2013, 04, 41379, 2013.2877, 398.35, 395.61, 398.79, 396.03, 398.35, 395.61
2013, 05, 41409, 2013.3699, 399.98, 396.63, 399.58, 396.23, 399.98, 396.63
2013, 06, 41440, 2013.4548, 398.87, 396.34, 398.94, 396.43, 398.87, 396.34
2013, 07, 41470, 2013.5370, 397.37, 396.56, 397.40, 396.63, 397.37, 396.56
2013, 08, 41501, 2013.6219, 395.41, 396.92, 395.27, 396.82, 395.41, 396.92
2013, 09, 41532, 2013.7068, 393.39, 396.84, 393.55, 397.01, 393.39, 396.84
2013, 10, 41562, 2013.7890, 393.70, 397.26, 393.63, 397.19, 393.70, 397.26
2013, 11, 41593, 2013.8740, 395.19, 397.43, 395.16, 397.37, 395.19, 397.43
2013, 12, 41623, 2013.9562, 396.82, 397.73, 396.64, 397.54, 396.82, 397.73
2014, 01, 41654, 2014.0411, 397.93, 397.87, 397.77, 397.71, 397.93, 397.87
2014, 02, 41685, 2014.1260, 398.10, 397.35, 398.64, 397.88, 398.10, 397.35
2014, 03, 41713, 2014.2027, 399.47, 397.95, 399.56, 398.03, 399.47, 397.95
2014, 04, 41744, 2014.2877, 401.33, 398.57, 400.97, 398.19, 401.33, 398.57
2014, 05, 41774, 2014.3699, 401.88, 398.52, 401.71, 398.35, 401.88, 398.52
2014, 06, 41805, 2014.4548, 401.31, 398.77, 401.03, 398.51, 401.31, 398.77
2014, 07, 41835, 2014.5370, 399.07, 398.26, 399.44, 398.67, 399.07, 398.26
2014, 08, 41866, 2014.6219, 397.21, 398.72, 397.28, 398.83, 397.21, 398.72
2014, 09, 41897, 2014.7068, 395.40, 398.86, 395.52, 399.00, 395.40, 398.86
2014, 10, 41927, 2014.7890, 395.65, 399.23, 395.60, 399.16, 395.65, 399.23
2014, 11, 41958, 2014.8740, 397.23, 399.46, 397.12, 399.34, 397.23, 399.46
2014, 12, 41988, 2014.9562, 398.79, 399.70, 398.62, 399.51, 398.79, 399.70
2015, 01, 42019, 2015.0411, 399.85, 399.80, 399.76, 399.70, 399.85, 399.80
2015, 02, 42050, 2015.1260, 400.31, 399.56, 400.65, 399.89, 400.31, 399.56
2015, 03, 42078, 2015.2027, 401.51, 399.99, 401.61, 400.07, 401.51, 399.99
2015, 04, 42109, 2015.2877, 403.45, 400.69, 403.05, 400.27, 403.45, 400.69
2015, 05, 42139, 2015.3699, 404.10, 400.74, 403.85, 400.49, 404.10, 400.74
2015, 06, 42170, 2015.4548, 402.88, 400.33, 403.25, 400.72, 402.88, 400.33
2015, 07, 42200, 2015.5370, 401.61, 400.80, 401.74, 400.97, 401.61, 400.80
2015, 08, 42231, 2015.6219, 399.00, 400.51, 399.69, 401.24, 399.00, 400.51
2015, 09, 42262, 2015.7068, 397.50, 400.96, 398.06, 401.54, 397.50, 400.96
2015, 10, 42292, 2015.7890, 398.28, 401.87, 398.27, 401.84, 398.28, 401.87
2015, 11, 42323, 2015.8740, 400.24, 402.49, 399.94, 402.16, 400.24, 402.49
2015, 12, 42353, 2015.9562, 401.89, 402.81, 401.58, 402.48, 401.89, 402.81
2016, 01, 42384, 2016.0410, 402.65, 402.60, 402.86, 402.80, 402.65, 402.60
2016, 02, 42415, 2016.1257, 404.16, 403.41, 403.87, 403.11, 404.16, 403.41
2016, 03, 42444, 2016.2049, 404.85, 403.30, 404.96, 403.38, 404.85, 403.30
2016, 04, 42475, 2016.2896, 407.57, 404.77, 406.48, 403.66, 407.57, 404.77
2016, 05, 42505, 2016.3716, 407.66, 404.28, 407.29, 403.91, 407.66, 404.28
2016, 06, 42536, 2016.4563, 407.00, 404.48, 406.66, 404.15, 407.00, 404.48
2016, 07, 42566, 2016.5383, 404.50, 403.72, 405.12, 404.37, 404.50, 403.72
2016, 08, 42597, 2016.6230, 402.24, 403.79, 403.01, 404.60, 402.24, 403.79
2016, 09, 42628, 2016.7077, 401.01, 404.50, 401.31, 404.82, 401.01, 404.50
2016, 10, 42658, 2016.7896, 401.50, 405.09, 401.45, 405.03, 401.50, 405.09
2016, 11, 42689, 2016.8743, 403.64, 405.88, 403.02, 405.24, 403.64, 405.88
2016, 12, 42719, 2016.9563, 404.55, 405.47, 404.53, 405.43, 404.55, 405.47
2017, 01, 42750, 2017.0411, 406.07, 406.02, 405.69, 405.62, 406.07, 406.02
2017, 02, 42781, 2017.1260, 406.64, 405.89, 406.57, 405.80, 406.64, 405.89
2017, 03, 42809, 2017.2027, 407.05, 405.52, 407.51, 405.96, 407.05, 405.52
2017, 04, 42840, 2017.2877, 408.95, 406.17, 408.92, 406.13, 408.95, 406.17
2017, 05, 42870, 2017.3699, 409.91, 406.52, 409.67, 406.29, 409.91, 406.52
2017, 06, 42901, 2017.4548, 409.12, 406.55, 408.98, 406.45, 409.12, 406.55
2017, 07, 42931, 2017.5370, 407.20, 406.38, 407.38, 406.60, 407.20, 406.38
2017, 08, 42962, 2017.6219, 405.24, 406.76, 405.19, 406.76, 405.24, 406.76
2017, 09, 42993, 2017.7068, 403.27, 406.75, 403.41, 406.91, 403.27, 406.75
2017, 10, 43023, 2017.7890, 403.64, 407.25, 403.47, 407.06, 403.64, 407.25
2017, 11, 43054, 2017.8740, 405.17, 407.43, 404.98, 407.21, 405.17, 407.43
2017, 12, 43084, 2017.9562, 406.75, 407.68, 406.46, 407.36, 406.75, 407.68
2018, 01, 43115, 2018.0411, 408.05, 408.00, 407.58, 407.51, 408.05, 408.00
2018, 02, 43146, 2018.1260, 408.34, 407.59, 408.44, 407.67, 408.34, 407.59
2018, 03, 43174, 2018.2027, 409.25, 407.72, 409.37, 407.82, 409.25, 407.72
2018, 04, 43205, 2018.2877, 410.30, 407.52, 410.80, 408.00, 410.30, 407.52
2018, 05, 43235, 2018.3699, 411.30, 407.91, 411.59, 408.19, 411.30, 407.91
2018, 06, 43266, 2018.4548, 410.88, 408.31, 410.96, 408.41, 410.88, 408.31
2018, 07, 43296, 2018.5370, 408.90, 408.08, 409.43, 408.65, 408.90, 408.08
2018, 08, 43327, 2018.6219, 407.10, 408.63, 407.33, 408.90, 407.10, 408.63
2018, 09, 43358, 2018.7068, 405.59, 409.08, 405.66, 409.18, 405.59, 409.08
2018, 10, 43388, 2018.7890, 405.99, 409.61, 405.84, 409.44, 405.99, 409.61
2018, 11, 43419, 2018.8740, 408.12, 410.38, 407.48, 409.72, 408.12, 410.38
2018, 12, 43449, 2018.9562, 409.23, 410.15, 409.07, 409.98, 409.23, 410.15
2019, 01, 43480, 2019.0411, 410.92, 410.87, 410.30, 410.24, 410.92, 410.87
2019, 02, 43511, 2019.1260, 411.66, 410.90, 411.25, 410.48, 411.66, 410.90
2019, 03, 43539, 2019.2027, 412.00, 410.46, 412.25, 410.69, 412.00, 410.46
2019, 04, 43570, 2019.2877, 413.52, 410.72, 413.73, 410.92, 413.52, 410.72
2019, 05, 43600, 2019.3699, 414.83, 411.42, 414.54, 411.14, 414.83, 411.42
2019, 06, 43631, 2019.4548, 413.96, 411.38, 413.91, 411.36, 413.96, 411.38
2019, 07, 43661, 2019.5370, 411.85, 411.03, 412.36, 411.57, 411.85, 411.03
2019, 08, 43692, 2019.6219, 410.08, 411.62, 410.22, 411.79, 410.08, 411.62
2019, 09, 43723, 2019.7068, 408.55, 412.06, 408.49, 412.02, 408.55, 412.06
2019, 10, 43753, 2019.7890, 408.43, 412.06, 408.62, 412.23, 408.43, 412.06
2019, 11, 43784, 2019.8740, 410.29, 412.56, 410.21, 412.46, 410.29, 412.56
2019, 12, 43814, 2019.9562, 411.85, 412.78, 411.76, 412.67, 411.85, 412.78
2020, 01, 43845, 2020.0410, 413.37, 413.32, 412.95, 412.89, 413.37, 413.32
2020, 02, 43876, 2020.1257, 414.09, 413.33, 413.87, 413.10, 414.09, 413.33
2020, 03, 43905, 2020.2049, 414.51, 412.94, 414.89, 413.30, 414.51, 412.94
2020, 04, 43936, 2020.2896, 416.18, 413.35, 416.35, 413.50, 416.18, 413.35
2020, 05, 43966, 2020.3716, 417.16, 413.75, -99.99, -99.99, 417.16, 413.75
2020, 06, 43997, 2020.4563, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
2020, 07, 44027, 2020.5383, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
2020, 08, 44058, 2020.6230, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
2020, 09, 44089, 2020.7077, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
2020, 10, 44119, 2020.7896, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
2020, 11, 44150, 2020.8743, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
2020, 12, 44180, 2020.9563, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99
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