{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Formatação de gráficos com *matplotlib*"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Vamos começar refazendo os gráficos que fizemos anteriormente com o método **plot** dos *DataFrames* e *Series* utilizando as funções do **matplotlib.pyplot**."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"source": [
"O **matplotlib** transforma os dados em gráficos através de duas componentes: **figuras** (por exemplo janelas) e **eixos** (uma região onde os pontos podem ser determinados por meio de coordenadas). Se temos uma figura bidimensional, tipicamente os eixos são *x*-*y*, mas podemos ter coordenadas polares também. Se temos uma figura tridimensional, os eixos tipicamente são *x*-*y*-*z*, mas também podemos ter coordenadas esféricas, cilíndricas, etc.\n",
"\n",
"Como as figuras são determinadas pelas posições no plano ou no espaço, utilizamos com mais frequência os **eixos** de um objeto do **matplotlib**."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt # Aqui utilizaremos a biblioteca matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"serie_Idade = pd.Series({'Ana':20, 'João': 19, 'Maria': 21, 'Pedro': 22, 'Túlio': 20}, name=\"Idade\")\n",
"serie_Peso = pd.Series({'Ana':55, 'João': 80, 'Maria': 62, 'Pedro': 67, 'Túlio': 73}, name=\"Peso\")\n",
"serie_Altura = pd.Series({'Ana':162, 'João': 178, 'Maria': 162, 'Pedro': 165, 'Túlio': 171}, name=\"Altura\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"dicionario_series_exemplo = {'Idade': serie_Idade, 'Peso': serie_Peso, 'Altura': serie_Altura}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" Unnamed: 0 regiao estado municipio coduf codmun codRegiaoSaude \\\n",
"0 0 Brasil NaN NaN 76 NaN NaN \n",
"1 1 Brasil NaN NaN 76 NaN NaN \n",
"2 2 Brasil NaN NaN 76 NaN NaN \n",
"3 3 Brasil NaN NaN 76 NaN NaN \n",
"4 4 Brasil NaN NaN 76 NaN NaN \n",
"\n",
" nomeRegiaoSaude data semanaEpi populacaoTCU2019 casosAcumulado \\\n",
"0 NaN 2020-02-25 9 210147125 0 \n",
"1 NaN 2020-02-26 9 210147125 1 \n",
"2 NaN 2020-02-27 9 210147125 1 \n",
"3 NaN 2020-02-28 9 210147125 1 \n",
"4 NaN 2020-02-29 9 210147125 2 \n",
"\n",
" casosNovos obitosAcumulado obitosNovos Recuperadosnovos \\\n",
"0 0 0 0 NaN \n",
"1 1 0 0 NaN \n",
"2 0 0 0 NaN \n",
"3 0 0 0 NaN \n",
"4 1 0 0 NaN \n",
"\n",
" emAcompanhamentoNovos interior/metropolitana \n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"covid_BR = pd.read_excel(\"06b-HIST_PAINEL_COVIDBR_18jul2020.xlsx\")\n",
"covid_BR.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Gráfico de Linhas"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots() # Este comando cria uma figura com um eixo\n",
"ax.plot(df_exemplo.index, df_exemplo['coluna_1'], label = 'Primeira Coluna') # Inserimos a linha relativa à coluna 1\n",
"ax.plot(df_exemplo.index, df_exemplo['coluna_2'], label = 'Segunda Coluna') # Inserimos a linha relativa à coluna 2\n",
"ax.plot(df_exemplo.index, df_exemplo['coluna_3'], label = 'Terceira Coluna') # Inserimos a linha relativa à coluna 3\n",
"ax.set_xlabel('Data') # Rótulo do eixo x\n",
"ax.set_ylabel('Valor') # Rótulo do eixo y\n",
"ax.set_title(\"Gráfico do df_exemplo\")\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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Lli3x8PDA09OTgwcPGi0We/v81Y2Ji4vj2WefzZyv0Llz51zjz+85tFLszi343wz40gdOboSOU1WNog4v6IRQRugrhSK2f/9+Nm3aREBAABUqVCAiIoLk5GRjh5VnzzzzDPXr1+fcuXOYmZlx4cIFTp0q1YVqtaKQkgAHF8Ge+ZAcC61GQLc3oZKzsSPTiliZTAqub/xZIucJ+eTRBx4LCwvDyckps3ZR1tm6/v7+TJs2jbi4OJycnFi2bBm1atXi0KFDPP3009jZ2fHQQw/x999/c/z4cZYtW8bhw4f58ssvAVWS+tVXX6Vr167Y29szdepUNm3ahI2NDRs3bqRGjRpcvHiRESNGkJqayiOPPJJ57ri4OPr378/t27dJSUnhgw8+oH///vfEfv78eQ4ePMjKlSsxy2gTbtCgAQ0aNABg3rx5LFmyBFDJ46WXXrpn/507dzJ37lw2bdoEwAsvvICPjw9jx47F1dWVMWPG8Mcff5CSksKvv/5Ks2bN8PPz46WXXiIhIQEbGxuWLl36QG0nzYjS0+DIatVUFHMVGveGnrOgRgtjR6YVE918VMR69epFaGgoTZo0YfLkyezatQtQ1UqnTJnC2rVr8ff3Z/z48cyYMQOAcePGsWjRIvbv34+5uXmezpNdSeqpU6cyadIkDh06dE85CmtrazZs2EBAQAA7duzglVdeeaDY3YkTJ/D09DQYg7+/P0uXLuXgwYMcOHCA77//nsDAwHy9N05OTgQEBDBp0qTMSq/NmjVj9+7dBAYG8t577/HWW2/l65haMZESzv4Dix6CjZPBvgaM/RNG/qITQhlXJq8UjMne3h5/f3/27NnDjh07GDp0KJ988gk+Pj4cP36chx9+GIC0tDRq1apFVFQUsbGxdOigFpgbMWJE5jftnGRXkvrff/9l3bp1AIwaNYrXX38dUNVO33rrLXbv3o2ZmRlXr17lxo0bD9Qxys7evXsZMGBAZu2kgQMHsmfPnlwL8mU1cODAzHjXr18PqMJ4Y8aM4dy5cwghSElJyfPxtGJy1R+2zISQPVClPjy5FFoO0PWJygmdFIqBubk5Xbt2pWvXrri7u7N8+XK8vb1p2bIl+/fvv2fb27dvZ3ucgpSkBsML3a9cuZLw8HD8/f2xtLTE1dX1nuOBKqF9t8S22X1DCgtbQhv+Kw+eNd533nmHbt26sWHDBkJCQujatWuu59GKya0LqpT1iQ1g6wR95oD3WLCwMnZkWgnSzUdF7MyZM5w7dy7zflBQEC4uLjRt2pTw8PDMpJCSksKJEyeoUqUKDg4OHDhwAIDVq1dn7uvq6kpQUBDp6emEhobmqSR1x44dM4+xcuXKzMejo6OpXr06lpaW7Nixg0uXLj2wb8OGDfHx8WHmzJmZSeDcuXNs3LiRzp0789tvv3Hnzh3i4+PZsGEDnTp1umd/FxcXTp48SVJSEtHR0Wzbti3XeLOW0F62bFmu22vFIC4c/poOX7aBs/+Dzq+pJTDbTdQJoRzSVwpFLC4ujilTphAVFYWFhQWNGjXiu+++w8rKirVr1/Liiy8SHR1NamoqL730Ei1btmTx4sVMmDABOzs7unbtSqVKlYB7S1K7ubnlqST1woULGTFiBAsXLmTQoEGZj48cOZLHHnsMHx8fPD09adasmcH9f/jhB1555RUaNWqEra0tjo6OzJkzBy8vL8aOHUvbtm0B1dF8f9NR3bp1GTJkCB4eHjRu3DhPTUuvvfYaY8aMYd68eXTvrmfAlqjkeNj/Ffy7UI0u8hoNXd8Ah7w1KWplky6dbQLi4uIyx/p/8sknhIWFsXDhQiNHZVpK4+/VZKWlQuAK2PkJxN2AZv3UiCKnxsaOTCshunS2ifvzzz/5+OOPSU1NxcXFRTejaMVDSjj9J2x7FyLOQl1fGPIj1Gtn7Mg0E6KTggkYOnQoQ4cONXYYWll2+SBseQdCD4JTExi2Cpr21SOKtAfopKBpZVn4WXVlcHqTmmvQbwG0HgXm+r++Zpj+y9C0sij2Ouz8GAJ+BEtb6PY2tJ8MVg+u0a1pWemkoGllSVIs/Ps57P8S0lKgzTPQ5TWwc8p9X01DJwVNKxtSk8F/Gez6FO5EQMuB0OMdqNrA2JFppYyevFbEIiMj8fT0xNPTk5o1a1KnTp3M+8VRLTU0NLTQndQxMTFMmDAhs1x2165dOXToULbbp6amUrly5UKdUysiUsLx9fBVW/h7OlRvDhO2w+ClOiFoBaKvFIqYo6MjQUFBAMyaNQt7e3teffXVPO+flpaW56J4oCaMrVmz5oHHU1NTsbDI2693/PjxNG/enODgYIQQBAcH3zMrWzNRF/eoJTCvBUD1ljByLTTqqUcUaYWirxRK0PLly2nbti2enp5MnjyZ9PT0zG/db7/9Nm3btsXPz4+DBw/Svn17WrVqRbt27bhz5w6pqalMmzaNtm3b4uHhwQ8//ABAcHAwnp6egJqNPGzYMPr160efPn2IiYmhe/fueHl54eHhYbDQ3pkzZwgKCuLdd9/NrJnUqFEj+vTpA8Ds2bNxc3PDzc2NL7744oH9t27dyhNPPJF5/7nnnuOnn34CwNnZmVmzZtG6dWs8PDw4e/YsAAcOHKB9+/a0bt2ajh076gSUXzdOwMrBsLwfxN2EJ76B5/ZA44d1QtAKzeSuFIQQlYEfADdAAuOllPtz3sv0HT9+nA0bNrBv3z4sLCyYOHEiq1evZsiQIURHR+Pl5cUHH3xAYmIizZs3Z926dXh5eREdHU2FChX49ttvqV69On5+fiQlJeHr60uvXr0eOM/+/fsJCgqiSpUqpKSksHHjRhwcHLh58yYdO3bMrKx614kTJ2jduvUDBfAA/Pz8WLlyJX5+fqSlpdG2bVu6dOlCixZ5L51co0YNAgMD+fzzz5k3bx6LFi2iefPm7N27F3NzczZv3szbb79t8GpHu0/0FdjxEQStAuuK8PB70HYiWNoYOzKtDDG5pAAsBDZLKZ8UQlgBtgU+0t9vwPVjRRYYADXdoc8n+d5t69atHDp0CB8fNbM8ISGBunXrAqoM9oABAwBVzqFevXqZdY7u1kH6559/OHXqVGaxu+joaM6dO4eLi8s95+nVqxdVqlQBVGXT119/nb1792JmZkZoaCgRERH3LPyTkz179jBo0CBsbdWv4IknnmDv3r35SgpZy2X/9ddfAERFRTF69GjOnz+f5+OUawlRsHe+WvlMpkP756HTK2Bb1diRaWWQSSUFIURFoDMwFkBKmQyUnrUscyClZPz48bz//vv3PJ6amoqNjU1m042U0mDpayklX3/9NT169Ljn8eDg4Hvu313vAGDFihVER0cTEBCAhYUFzs7OBstl363EWlLlsmfMmEHv3r2ZPHkywcHB96wQp2WRmgR+38OeuSoxeAyF7jOgcj1jR6aVYSaVFIAGQDiwVAjRCvAHpkop4wt0tAJ8oy8uPXv25Mknn2Tq1Kk4OTkRGRlJfHw8tWvXvme7li1bcunSJQICAvDy8iImJgY7Ozt69+7N119/TZcuXbCwsODMmTPUq5fzh8PdctkWFhZs2bKFq1evPrBN06ZNcXd357333mPmzJkIIThz5gxnz56lc+fOPPvss0yfPp20tDQ2btz4QDOPi4sLJ06cIDk5mfj4eLZv307Pnj1zjUuXy85Bejoc+xW2fwDRl6FhD3j4XXWVqmnFzNSSggXgBUyRUh4UQiwE3gDeubuBEGIiMBHI9UPRlLi7uzNz5kx69uxJeno6lpaWLFq06IGkUKFCBX7++WcmTZpEYmIiNjY2bN++nWeffZbLly9ndipXr16djRs35njOUaNGZZbL9vLyonFjw1Uwly5dyrRp02jUqBE2NjZUq1aNuXPn4u3tzfDhw2nTpg0AkyZNwt3d/Z4FferXr88TTzyBu7s7TZo0yVN579dff53x48cze/ZsunXrluv25UrwNtg6UzV71vSAxz+Hhvo90kqOSZXOFkLUBA5IKV0z7ncC3pBSPmpo+7JSOlvLXZn/vYYdUcNLL+yEyi7Q4//UBDQDAwA0rbBKTelsKeV1IUSoEKKplPIM0AM4aey4NK3Y3A5RzUTHfgWbqvDIJ+AzHiwqGDsyrZwyqaSQYQqwMmPk0QVgnJHj0bSid+cW7J4Lh74HYQ4PTYOHXgLrSsaOTCvnTC4pSCmDAIOXNZpW6qUkwIFvYO8CSI4Fz5HQ7S2oWDv3fTWtBJhcUigK2Q3r1EonU+r3KrD0NDXpbMdHEHsNmvSBnjNVrSJNMyFlLilYW1sTGRmJo6OjTgxlgJSSyMhIrK2tjR1KwUgJ5/6BLTMh/BTU8YFBP4BrR2NHpmkGlbmk4OzszJUrVwgPDzd2KFoRsba2xtnZ2dhh5N+VwyoZXNoLVRvC4OXQor+uT6SZtDKXFCwtLalfv76xw9DKs8jzagnMkxvBrhr0nQveY8Hc0tiRaVquylxS0DSjiQtXi9z4LwXzCtDlDejwAlRwMHZkmpZnOiloWmElxcH+r2Df52p0kfdY6PI6ONQwdmSalm86KWhaQaWlQMAK2PkJxN+E5o9Dj5ng1MjYkWlagemkoGn5JSWc3gRbZ0FkMNRrD8NWQt22xo5M0wpNJwVNy4/LB1SNotCD4NQUhv0MTfvoEUVamaGTgqblRfgZ2PounPkTHGrBY5+r2cjm+r+QVrbov2hNy0lMGOz8GAJ/BEs76P4O+E4Gq4IvCKhppkwnBU0zJDEG/l2oRhWlp6q1kDtPB7u8LWWqaaWVTgqallVqsppnsOtTuBMJbk9C97ehqp4QqZUPOiloGqglME9ugG3vqTUO6neGh9+D2q2NHZmmlSidFDTt4m41ouhaINRwg5HroFEPPaJIK5d0UtDKrxsnVMG64C1Q0RmeWAQeQ8DM3NiRaZrR6KSglT9RoWpdgyM/g3VFePh91ZFsWUrLc2taEdJJQSs/Em7Dnnlw8Ft1v8MLahlM26rGjUvTTIhOClrZl5IIft/Bns8gMRpaDVdLYFaua+zINM3k6KSglV3p6XDsF9j+AUSHQqOe0PNdqOlm7Mg0zWTppKCVPVLC+W2wZRbcOAa1PKH/V9Cgi7Ej0zSTp5OCVrZcC1LDSy/ugsouMGgxtBwIZmbGjkzTSgWdFLSy4XYIbHsfjq8FW0d45FPwGQ8WVsaOTNNKFZ0UtNItPhJ2z4FDP4CZBXR6FTq+CNaVjB2ZppVKOilopVPyHTjwtSpalxwHrUdB1zehYi1jR6ZppZpOClrpkpYKR1apyWexYdC0r1oCs3ozY0emaWWCTgpa6SAlnN2slsAMPw3ObeDJpeDS3tiRaVqZopOCZvpCD6kRRZf3gWMjGPIjNH9MF6zTtGJgcklBCGEOHAauSin7GTsezYgigmHbu3Dqd7CrDo/OA6/RYG5p7Mg0rcwyuaQATAVOARWNHYhmJHE3Yecn4L8MLG2g61vQ/nmoYG/syDStzDOppCCEcAYeBT4Ephk5HK2kJcXB/i/h388hLUnNM+jyGthXN3ZkmlZumFRSABYArwEOxg5EK0FpKRCwHHZ+CvE3oUV/NaLIsaGxI9O0csdkkoIQoh9wU0rpL4TomsN2E4GJAPXq1Suh6LRiIaXqL9j2HkQGg0tHGP4zOPsYOzJNK7dMJikAHYHHhRB9AWugohDiJynlU1k3klJ+B3wH4OPjI0s+TK1IXNqnRhRdOQTVmsPwNdCktx5RpGlGZjJJQUr5JvAmQMaVwqv3JwStDLh5Ws01OPs3ONSGx78EzxF6CUxNMxEmkxS0Mi7mmpqFHLQSrOxVn0G758DK1tiRaZqWRb6TghDCDDgqpSy2lUqklDuBncV1fK0EJUbD3gVw4BuQadBuEnR+VS+BqWkmKt9JQUqZLoQ4IoSoJ6W8XBxBaWVAahIcXgK7ZkPCLXAfDN3fhiquxo5M07QcFLT5qBZwQgjhB8TffVBK+XiRRKWVXunpcGK9GlEUdQkadFVLYNb2NHZkmqblQUGTwrtFGoVWNlzYCVtmQlgQ1HCHp9ZDox7GjkrTtHwoUFKQUu4SQtQA2mQ85CelvFl0YWmlyvVjKhmc3waV6sGA71RzkV4CU9NKnQIlBSHEEGAOqjNYAF8IIaZLKdcWYWyaqYu6rEYUHTlMm1AAACAASURBVFmtVjrr9QG0mQCW1saOTNO0Aipo89EMoM3dqwMhRDVgK6CTQnlw5xbs+Qz8vlf3O74ID70MNlWMG5emaYVW0KRgdl9zUSSg2wrKupRE8PtWJYTEGDXprNtbUMnZ2JFpmlZECpoUNgsh/gf8nHF/KPBX0YSkmZz0NDi6BrZ/CDFXoHEv6DkLarQ0dmSaphWxgnY0TxdCDELVKxLAd1LKDUUamWZ8UkLwVtWJfPME1PaCAYugfidjR6ZpWjEpcJkLKeU6YF0RxqKZkqsBqmBdyB6oUl+th9xygC5Yp2llXL6SghAiFjBUmVQAUkqpV0sr7W5dhO3vw/F1YOsIfWaD9ziwsDJ2ZJqmlYB8JQUppV78pqyKj4Ddc+DQYrUGcufp0OFFsNZ5XtPKk0JVSRVCVEetfQCAroVUCiXHw4GvYe9CSLkDXqOg65vgUNPYkWmaZgQFnbz2OPAZUBu4CbgApwA9HKW0SEuFoJ9gx8cQdx2aPqpGFFVrYuzINE0zooJeKbwP+AJbpZSthRDdgOFFF5ZWbKSEM3/B1nch4gzUbQdDlkM9X2NHpmmaCShoUkiRUkYKIcyEEGZSyh1CiE+LNDKt6IX6qRFFl/eDY2MYuhKaPapHFGmalqmgSSFKCGEP7AFWCiFuAqlFF5ZWpCLOwbZ34dQfYF8D+s2H1qPBXC+8p2navfI7JPVL1Czm/kAC8BIwEqgEvFfk0ZVxN2ISuRAeT/NaDlS2LYYhn7E3YNcn4L8cLG2g2wxo/zxY2RX9uTRNKxPy+1XxHDAXtcjOGuBnKeXyIo+qDEtNS2frqRus2H+JfecjATA3E8x6rAWj2rsWzUmSYmHfF7DvS0hLgjZPQ+fXwL5a0Rxf07QyK7/zFBYCC4UQLsAwYKkQwhpYBayRUp4thhjLhPDYJFb7XWaV32XCohPveS4tXfLOxhPUqGhNr5aFGAqalgL+y2DXpxAfDi2egB7/B44NCxe8pmnlRkFrH10CPgU+FUK0BpYAswDzogut9JNScvjSbX7cf4m/j4eRkmZoMvh/pq89iludStSubJPfE8HJ39QSmLcugMtDMHwNOHsXInpN08qjgs5TsAQeQV0t9AB2oZfozHQnOZXfAq+xYn8Ip6/H5nm/6IQUXlodxKoJ7bAwz2Ml8pB/1Yiiq4ehWnMY8YuqYqpHFGmaVgD57Wh+GDUf4VHAD1gNTJRSxhdDbKXO+fA4fjpwibX+V4hNLNhgLL+QW3yxPZiXH85lEtnNU7B1FpzdDA61of9X0Go4mOmLNU3TCi6/VwpvofoPXpVS3iqGeEqd1LR0tp2+yY/7L7E3OKJIjvnF9nO0b+iIbwPHB5+Mvgo7P4KgVWDlAD1mgu8kNbpI0zStkPLb0dytuAIpbSLiklhzKJSVBy5x7b6O47zwcamCi6Md6wKuPPBcuoSXVgfx99ROVLHLGKqaEAX/LoAD34BMh3aToPOrYFu1sC9F0zQtk569lA9SSgIuq47jv45dJzktPV/721ia80Tr2ozydaVF7YqkpUuuxyTwb3DkA9tej0lk+tqjfD/CDXF4sapgmnAb3IdA97ehiktRvSxN07RMOinkQUJyGhuDrrJi/yVOhsXke/8GTnY85evCIG9nKtlYZj5ubiaYP8STPgv3EBmffM8+gnTszqwj7rNROCRegwbd4OF3oVarQr8eTdO07JhUUhBC1AVWADWBdNQynwuNFc/FiHh+OnCJXw+HEpPPjmMzAT2a12B0exc6NnTCzMzwaKDqFa2ZO6QV45Yeynyso9kx3rT4GTezEE4muGL36Epc2vYr1GvRNE3LC5NKCqj6Sa9IKQOEEA6AvxBii5TyZEkFkJYu2X76Jj8euMTus+H53t/Rzoqhbeoy0teFOnmcb9CtaXWeeag++/7dwRsWP9PZ/BhXpBNTkyfze3oH6u+xZ5NnKrZWpvbr0jStrDGpTxkpZRgQlvFzrBDiFFAHKPakEBmXxJrDoaw8cJmrUQn53t+rXmVGt3elj3tNKljkc1jo7Uu8mTgf8wq/cFva837KSH5M60UyqqnpQng8MzeeYM5g3XSkaVrxMqmkkJUQwhVoDRwsrnNIKQkKjeLH/ZfYdDQs3x3H1pZm9G9Vh1HtXXCrUyn/Ady5BXs+A7/vMBdmRHs9T5/D3lxPs35g01/9r/BQYyf6e9bJ/3k0TdPyyCSTQkZZ7nXAS1LKmPuemwhMBKhXr16Bjp+YksbvQddYcSCE41fz33Hs6mjLU74uDPauSyVby9x3uF9KAhxcBHvmQ1IMeI6Ebm9SqZIzr9e9wstrjhjcbcaG43jWrYyLo65yqmla8RBS5lyPp6RllNDYBPxPSjkvp219fHzk4cOH83zsS5Gq4/iXw1eITkjJZ1zQo1l1RrV3pVOj7DuOc5SeBkd+hh0fQcxVaNxbLYFZo8U9m037JYj1AVcNHqKVcyV+fa4DVhZ5LIOhaZp2HyGEv5TSx9BzJnWlIIQQwGLgVG4JIb/CohPoNncn6fnMgVVsLRnaph4j29WjblXbgp1cSji3BbbOhJsnobYXDPgW6ncyuPn7/d0IvBzFxYgHq4ccuRLNZ/+c4c2+zQsWi6ZpWg5MKikAHYFRwDEhRFDGY29JKf8q7IFrVbLBt4Fj5hoGufGsW5nR7V3o614La8tC1BO66g9bZkLIHqhSH55cCi0H5Fiwzq6CBV8Mb83Ar/cZ7Of4dvcFOjRyoksTvT6CpmlFy6SSgpRyL1Bs5T1Ht3fJMSlUsDDj8Va1Gd3eFXfnAnQcZ3XrgiplfWID2DpBnzngPRYs8rbCmludSrzRpxnvbTI88OqVX4L4a2onqjs82CmtaZpWUCaVFIpbz+Y1qFnRmusx99YqqlfVllG+Ljzp7fxfraGCiguH3bPh8BIwt1IrnnWYAtYV832ocR1d+Tc4gm2nbz7wXERcMq/8coTl49oWrH9D0zTNgHKVFCzMzRjRrh7ztpxFCDVpbFR7F7o0rlb4D9bkeNj/Ffy7UI0u8hoNXd8Ah4KvpCaEYM7gVvRZuJsbMUkPPL/nXATf7r7ApK56ZTVN04pGuUoKAMPa1iU+KZWR7Vyo51jAjuOs0lIhcAXs/ATibkCzfqqcdbVc1kPIo6p2Vswf6snIHw5iaKDYZ/+cwbdBVVrXq1Ik59M0rXwrd+MaqztY82bf5oVPCFLCqU3wTXvY9LLqRB7/DwxbWWQJ4a4ODZ14oVsjg8+lpkum/BxITGL+hthqmqYZUu6SQpG4fBCW9IY1I9X9Yatg/Gao167YTjm1R2N8XAxfDVy5ncBb649hanNONE0rfXRSyI/ws7B6JCzpBbdDoN8CmLQfmj1a7GsiW5ibsXB4aypaG27x23Q0jF8OhxZrDMVFSsnWkzeYuOIwY5f68evhUNLzO6GkaAOCtDTjnV/TjEgnhbyIvQ5/TIWvfeHCLuj2NrwYCD7jwLzkumXqVLZh9pPZF8Wb+fsJgm/Gllg8RSEiLonJKwN4ZsVh/jl5g51nwpm+9ihTfg4kKdUIH8y7d0Pduur2yScQFVXyMWiaEemkkJOkWNj+IXzeGgJXQptnYGoQdJkOVsapP/SIW02e8jVc8ykxJZ0XVgWSmFI6vuX+dSyMXvN38/fx6w889+exMMYvO0RcUv7WsSiw9HT49FPo3h1sbaFlS3jzTZUcXn4ZQkJKJg5NMzKdFAxJTYaD38FCTzXnoMkj8IIf9J0Ndk7Gjo63H21Bs5oOBp87fT2Wj/46VcIR5c/t+GReWBXA5JUB3Lpvxbms/g2OZPh3B4iIe3A4bpG6dQv694c33oBBg+DwYdiyBYKCYMAA+PJLaNQIhg8Hf//ijUXTjEwnhaykhOPr4au28Pd0qN4cJmyHwUuhagNjR5fJ2tKcL4a3xtrS8K9vxf5LbDbw7dsU/HPiOg/P382mo2F52v7Y1WgGL9pP6K07xRPQoUPg5QX/+x988QWsXg0VMyYatmoFK1bAxYswbRr89Rf4+EC3bvDnn+rqQtPKGJ0U7rq4B77vDmvHgaUtjFwLY/6AOt7GjsygxjUcmPlYy2yff33d0QItFlRcou+kMG1NEBN/9M/3N/+LEfEM+mYfp6/nv8x5tqRUVwAdO6qf9+6FF14wPGDA2Rlmz4bLl2HuXAgOhn79wM0NFi+GxMQH99G0UkonhRsnYOVgWN5PTT7r/zU8twcaP1zsI4oKa1ibujzqXsvgc9EJKby0OpDUfC4cVBy2n77Bw/N3sT7QcDnwvLgZm8SQRfs5HHKr8AHFxqqmoClToFcvCAyEtm1z369SJXjlFbhwAX76CSpUgGeeAVdX+PBD1QylaaVc+U0K0Vfgt8nwTUcIPQg934Up/tB6JJgVoipqCRJC8NFA92zXgj4UcpvPtweXcFT/iUlMYfqvRxi/7DA3Y3O+OnB1tGX1RF8GeTnncLxURv5wkG2nbhQ8qGPHVBPQr7/Cxx/D779D1ar5O4alJYwcCQEBsHUrtG4Nb7+tOqVffFElDU0rpUxukZ38yO8iO5lunobvuoBMh7YTodMrYJvPDwYTEnD5NoMX7SfNwNh+MwGrJvji28CxRGPafTac19cdJSw696aVcR1dea13M2yszJFS8snfp/l2d/YfrOZmgk8HefCkd/YJxKDly2HSJPWNf/Vq6NIlf/vn5NgxmDcPVq5UcxwGDYJXX83bFYimlbCcFtkpn0lBStg1GzyHQ+WCLelpar7eGczszWcMPlezojV/T+1U+AqweRCXlMqHf57iZ7/LuW5bt6oNc55sZTBhfbvrPB//fTrH/d/q24yJnfNQDDAhQTUVLV6sOolXrYKaBS9UmKNr11SH9TffQHQ0dOqkkkO/fmBWfi/MNdOik0I5kJ4uGb3Ej73BEQaf79m8Ot+P9kEUYz/JvuAIpq/NWwf3KF8X3ujTDLsK2U/++/VwKG+sP2bwCuiuZzs34I0+zbJ/XefOweDBcOQIzJgB774L5iXQPBgbq5LQ/Pmqg7pJE9UfMWoU2Bhu7tO0kpJTUtBfXcoIMzPBvCGtcMzmamDrqZss3xdSLOeOT0rl/zYeZ8QPB3NNCHUq27DymXa8/4RbjgkBYLBPXb59ypsKOaxH/e3uC0xfe9Rwh/rateDtDaGhajjpBx+UTEIAcHCAl16C8+fh55/B3h6efRZcXOC99yDCcPLWNGPTSaEMqV7Rms+GZF8G46O/TnP8anSRntPv4i36LNzDiv2Xct12eNu6bH6pEx0b5X0CYM8WNfjpmXbZ1nwCWOt/hed+8ichOWMmd3IyTJ2qrhBatFCji/r0yfM5i5SFBQwbpibE7dih+hhmzoR69eD559XwVk0zIToplDFdm1ZnQqf6Bp9LTkvnxZ8DiS+C0hEJyWm898dJhn63n8u5TCyrWdGa5ePb8vFADxysLfN9rjauVfnlufZUd6iQ7TZbT91k9JKDRJ+9CJ07w+efq8Swe7f6ADY2IaBrV9i0CU6cUENif/hBNSsNGgT79xs7Qq20SE+H48fhwIFiqYysk0IZNL13MzyyWWP6QkQ8M38/Uajj+1+6zaOf72HJvxcNLvyT1ZPezvzv5c50aVKtUOdsVrMi6yZ1oL5T9jWnDoXcZuiczdwICVNDThcsAKvi71zPtxYtVH9DSIiqr7RjB3TooCbSbdigK7Rq94qKgs2b1RVmr15QpQpnuvXj48//4OH5u4u81pnuaC6jQiLiefTzPcQnG/6DWTjMk/6eddSdmBj1AeXmluMImcSUNOZvOcv3ey6QW2Xrag4V+GSgOz2a1yjgKzAsIi6JsUv9OH41+9nNzvYW/PjcQzkmEJMSFwdLl6ohrSEhqs7StGkwZowqzqeVH+npcOqUunK8ezulaplF2lXm9+5DWdekE8ctKmfu8vnw1jzeqna+TqNHH5VTG4OuMnV1kMHn7CtY8GcHa1xWL4NffoE7d6B2bVUAbuBA1QRj8V87/pHQKF759QjBN+NyPe+A1nWY+VgLKtsWz7f02MQUnv3Rn33nI7PdxtHOimXj2uKezRWTSUpNVVcKc+aomkyOjqrf4fnnoXp1Y0enFYeoKDh48L8EcPCgGsoMULUqSe07sN2nF+scGrEzUpJq4NtY16bVWDYuf/NhdFIox1799Qhr/a8YfM4j7Cxrf3sXqyGDoV07NUJn82Y1rt/REfr3J2nAQD4Xriz691KOQ0MBnOyt+OAJdx5xK6Y5AFkkpabx8pdb+Ot69pfOdlbmfD/ahw756Ng2CXdrMc2ZA3/8ocppjBmjrh6aNjV2dFpBpafD6dP3XgWcPKmeMzNTV+q+vkjf9gQ1bs26cDP+OBpGdELOS+2aCTjwZg+qV7TOcyg6KZRj8UmpPPbFXi5ExBt8fqKvM289kWXEUny8qhi6bh3HDxznla4TOVPNNdfzPOpRi/f7u1G1BCbI3V37IO2d/+P/Br3Gyvodst3UytyMBcM86ZtNjSiTd/q0muuwfDkkJcFjj6nJcJ06mXxtrnIv61XAgQPq57uLNlWtCr6+0L69urVty7U0CzYEXmVdwBUuhBv+/5qdGX2bM6Fz3is566RQXp0/D0uWcGLjVgY88ibJFoZH/iwb14auTf9rnkhOTeerHcF8tSPY4OVqVlVsLXn/CTf6eeSvTbPAIiPVt+Y//4ShQ5HffceCg9dZuO1ctrsIAe/3d+MpX5eSibE43LwJX38NX32l5ji0aaMmww0adE8zn2Ykhq4CTp1SV31CqKuAuwmgfXs16kwI4pNS2Xz8OusDr7DvfGSuAzeyM7xtXT4e6JHn7XVSKE8SEmD9ejW6ZccOdVn6yCMsfXQi7142/OHhaGfF31M7Ub2iNafCYnjllyOcDMu9THXvcwf4IOUk1R7voxapqVa4EUa58vNTcw/CwtS358mTM78tL98Xwqw/TuT4n+rlnk14sUejYp3VXezu3FFrPMybp2Zru7ioleHGj1cT5rSSER39YF/A3auAKlUeuArIXKMDVX3gwIVI1gZcYfPx69zJZjBIblwcbRnk5cyA1nWoWzV/AxJ0UigPAgNVIli5Uv1x1q8PTz+tvlU7OyOlZMKKw2w9ddPg7g81csK3QVUWbjtHSlrOfxOVbCx5r4UVj/v9iVi3Ti1CY2amOqcHDVKd1XXqFN1ru7v2wSuvqM7wX39V35Tv8/uRa7zyS1CO8Y9u78Ksx1piZlaKEwOob6Z//KHWd9i7VxX5e+45VeOpKN977T/p6aqm1TffqL6Au1cBLVs+eBVgYBTf+fA41gdcYUPAVa7loVCkIQ7WFvTzqM0grzp4u1Qp8BccnRTKqqgoVdzthx9UUqhQQX0oP/20mih13x/mrfhk+izczY2Ygi9v2aNZdT4e6P5fp5aUqq7QunXqljF8Dl9fNYpp0CBoUIhV62Ji1JoFv/6qisotX55jqes958J59kf/HL999fOoxbwhnljlUD6jVDl4ED77TL3/5uYwYoRKoO7uxo6s7AgNhXHjYNs2Naekd+//rgIqZT/CLepOMn8cDWOd/xWCQqMKdGpzM0Hnxk4M8namZ/MaWFsWvlRLqUoKQohHgIWAOfCDlPKT7LYtl0lBSti1SyWCdevUql+enioRjBypLl1zsP98JCN+OJDvtksHawtmPtaSQV51cv52cuqUGla5bp1abwBUfHcTRPPmee8gPXoUnnxSrU/w0UeqgzUPlUaPhEYxdqkft+9kP2qjU2MnFj3lnWv9pVLlwgU1YW/xYtXM1KuXes969tSd0gUlpVpQacoUNWR4/nz1JSWH9zMlLZ1dZ8JZF3CFbaduklzAha6a1XTgSW9nHvesTXWHvI8syotSkxSEEObAWeBh4ApwCBgupTxpaPtylRSuXYNly2DJEtWBXKmS+kb4zDNqjeF8mLflLJ/n0DF7vy5NqvHJIHdqVcpndc+QENW/sX497Nun/oM1baqSw8CBKu7s/nMtXar6DKpUUWsfdO6cr1MH34xjzBK/HAv0tXKuxJKxbXC0z758Rql06xZ8+60q9XH9Onh4qOQwdKhpzvDOhZSSgMtRhETEY2NlTlU7KxztrKhqZ0VlWyvMi6spMDxcNcmtX69mmy9fDg0Nl2qXUnLiWgzrAq7we9A1IuOTC3RKJ3sr+nvWYZCXMy1qV8x9hwIqTUmhPTBLStk74/6bAFLKjw1tX+aTQkqKGmWzeLGaQ5CerpqFnn5afagWcLZralo6I74/iF8uS1vaV7DgnX7NGeJTt/Cds2Fh8Ntv6gpi505VysHF5b8riPbt1VXAnTtqreSlS6F7d9U8VqNgs6LDohMYvdiPczlMuGtQzY4V49viXKUMzhxOSlLv32efqXpLtWurelATJ0LlyrnvbwJiE1N4eU1Qtn1hQkBlG8uMRFGBqnZWVLW3oqqtShqO9urfKrb//VzBIg/NL7//DhMmqCba999XzXEGKuzejEnkt6CrrPO/ypkbsQV6jVbmZjzcogaDvOvQqXE1LM2Lv1mzNCWFJ4FHpJTPZNwfBbSTUr5gaPsymxTOnFGJYMUKuHEDatWCsWPVCJNGjYrkFNeiEuizcE+2E2M6NnLk00EexfNhGRmp/tOtXw///KOqmtasqTqo9+5Vxb7eflvVeilkqeuoO8mMX3aIgMvZt+fWrGjNiqfb0qRGGR29I6WaezJ3rmoTt7dXH3hTp6rEbKJuxiYybukhTlzLfSRcfthXsFCJIssVh2PG/apmaTiuWk7VjWtxdKlNla8WYN/a454vRYkpafxz8gbr/K+w51x4riVfsuNVrzKDvJ3p516bSrb5LxRZGKUpKQwGet+XFNpKKadk2WYiMBGgXr163pcu5V6yuVSIj1edqYsXqw9Gc3PVsfr006rsczGMRf/nxHWe+8n/nj9qWytz3urbnJHt6pXM0M2YGHUVtG6d+tfGRrXhPvJIkZ3iTnIqk1cGsPNMeLbbVLKxZMnYNni75NwnU+oFBakrh9WrVbIYPFh9C/Yx+PlgNCER8YxacpDQW7kv2FTcrMzN1BWInRWVbCw5fjWa2AJWGq5T2YaBXnUY6OVs1NpcpSkplK/mo+Rk1Rm7dKlaiCU2Fho3/m8oaXEtGZnFnnPhLNh6jmtRCXRuXI3nuzWinqORmlISE1UTUjG0e6ekpfPa2qNsCLya7TbWlmZ8M9Kbbs3KQZ2h0FDV5/Dddyoxd+2qkkPfvkZfNvTolSjGLT1U4HZ5U2NnZU4f91oM8nKmXf2qJjEcujQlBQtUR3MP4Cqqo3mElNJgredSkRSkVJ19Z87A2bPq37s/X7ig2tZtbGDIEJUMHnpIjxQpJunpkg//OsXivRez3cbcTDDnSQ8GejmXYGRGFBOjRrItWKASRbNmKjk89RRYF+2Il7zYfTac537KeUhxaSAEdGzoxCDvOvRuWRNbK9Ma5VZqkgKAEKIvsAA1JHWJlPLD7LY1qaQQH68+6LN+8N/98I/N0gFlba2uBpo2VZNcWraERx/NcayzVnSklCzadYFPN5/Ocbu3H23OM50KMb+itElJUc2Xc+eqOS/Vq6sO/0mTwKlkCgr+FniVV389kmNplVZ1K2Mm1JybW3HJBW7GKS4Nq9kxyFvNMs73aL0SVKqSQn6UeFJIS4NLlwx/679yXyXSevXUB//dD/+7P9eta/TLcw3WHLrMm+uP5dhJOL5jfab1aoJ9WZrLkBsp1eiwuXP/6+MZO1Ylh2KcDPfDngt88OepHLd5vltDXu3V9J6+rqTUNKLupBAZl8yt+GQi45O4FZ/M7fhkIuPvPpac+djtO8kF7hjOTmVbSx5vVZtBXs54OFcqFWVUdFLIr8jIez/w7/4cHKz6Ae6qVOm/D/usH/6NG6v/TJpJ+9+J60z5OZDk1OwnF1WxtWRi54aMbu9Stia65cXJk6rG0o8/qr97Hx/VxDlsWJENaU1Pl3yy+TTf7b6Q7TZCwMx+LRjb0fAys/k4GWlffkX0rA+4VaU6t2bM5FbbjippxKnkcftORiLJSDK34pMNTj6zMBN0a1adQV7OdG9WvdTNjtdJwZCkJPUhb+hbf2SWxVssLNQw0Kzf9u/+XK2abv8v5Q5ciGTC8sO5NkNUtbPi2c4NGNXexeTah4tdRISa77B4sZplbm2tZpqPHw9duhT4yjcvnf9W5mbMG9qq8FV4s5ap6NNH9aPUzv2YUkrik9Mykoa6CrGxNKd5rYpUKYky8cVEJ4X7Xbigvs2nZ/kGUKuW4Q/++vV1aeIy7uS1GEYv8SMiLveaUE72VjzbuSFP+bpgY1X4GjSlipRqtNzixSpJREerulbjxqnRcnXr5vlQ8UmpTFoZwO6z2Q8Ttq9gwXejvAu3SFIBylSUBzop3C8lBT744L8P/yZN7iltq5U/lyPvMGrJQS5F3snT9k72VjzXpSEj25XD5ACqRPuGDSpBbN+uPmR791ZXD48/roozZiMyLonxyw5x5Ep0tttUc6jAsnFtaFm7EAMw8lGmorzRSUHT8iA8NonX1h5hRw6T3O5XzaFCRnKoVyTVK0ulixfVXJtly1QzjaOjGtI6fryqu5RF6K07jF7ix8VsVgIEcHW05cen2+V7jYB75LFMRXmlk4Km5YPfxVvM33KW/Rcic984Q3WHCkzq2pDhbctxckhLU232ixerOlfJyeDtrTqnhw/nxB3B2KWHCI/NvpnOI6NIoVNBixTGxKhFh5YsgVatVCe5LiH+AJ0UNK0ADlyIZP6Wsxy8mHPhwKxqVKzA5K6NGNqmbvlNDqAGa6xcmdk5va+RN88OmEGsWfads52bVOObkV4FH+W1a5fq2wgNhTfeULWzSmFV2JKgk4KmFcK+8xEs2HIu16qyWdWsaM3z3RoypE3dvFXlLKuk5M/f9/HyvkiSRfbvw4DWdfh0kEfBhnYmJsKMGaoTuWFDVUiyfftCBF326aSgaYUkpWTfeXXlcPjS7TzvV7uSNZO7NWKIT91SN5a9KORl7ewJn77tugAAFAJJREFU1VN4c9IjmNkUoKxGQACMGqXmVEyaBHPmgJ3xCs2VFjklhfL3V6ppBSCEoGMjJ359rj0/Pt0Wr3p5m7x1LTqRt387Tre5O1l18HKOE+XKEiklc/93hpm/55wQZgSsZcYrAzBzrqNKeR85krcTpKaqDuR27VRn8ubN8PXXOiEUAX2loGkFIKVk97kI5m85m6+1d+tUtmFK90YM8nYukcVUjCE1LZ23Nhzjl8NXst3Gwkwwd3ArnvCoqTqnlyxRQ1zvdk6PHw/DhxteXvbMGRg9Gvz81OqDX36Z6zK02r1085GmFRMpJTvPhrNgy9kcx93fr25VG6Z0a8wArzplKjkkJKfxwqoAtp02vFIaqDU7vnnKmy5Nqt37xK1b/3VOHzmiZk4PHKgSRLduapuvvoLXX1dlZL75RlUX1vJNJwVNK2ZSSnacucmCrec4mo/kUK+qLVO6N2JA6zpYlPLkcDs+maeX57zKnaOdFUvGtqFV3Vya3wIC1NXDypWqecjVVVUd2L8/X2UqNMN0UtC0EiKlZNupmyzYdpbjV/O+jKSroy1Tujemv2ftUpkcrkYlMGaJH8E5rIddt6oNK8a3y9+KY4mJqllpyRI4dgzee09NSivnZSoKSycFTSthUkq2nLzBgq3nOBmW9+RQ38mOF3s04vFWdTA3gRW68uLM9VjGLPHjekxittu0qFWRZePbUN2h5Bfu0R6kk4KmGYmUkn8yksOpfCSHBtXsmNqjMf08apt0cvC7eItnlh8iJjH7KrMdGjry7ShvHKxLdnF6LXs6KWiakaWnS/45eZ0FW89x+nps7jtkqO9kR+fGTng4V6ZV3Uo0cLI3iTV+Qa1H8eLPgSTlMMz2UY9azBvSqnxP4DNBOilomolIT5dsPnGdBVvPcvZG9u3v2bGzMsetTiVa1a2Mh3MlWjlXxrmKTYmv9rXq4GXe/i3nlevGdnDl//q1MJkkpv1HJwVNMzHp6ZK/joexcOs5zuXQOZsXVe2scK9TiVbOlf6/vXOPkqK68/jnO8MADq+Rh4CgIggiRkCDmpxsxGfwEYOazQsUX2uiromaEzcmZqPRxAfEF6vEo5uzktWouybGHGOSXbNmfYX4WAU0MSoKCiIgCIgIDj2//ePeHppxZpyZ7q6+M/P7nFNnqrqquz59p7p+Vffe+l32G1nHpJED2KV/eeruzYy5f3iF6x96qdXtLpq2N+ceOqZTDE3ZHfGg4DiJkmswfrN4JTc+9BJL1rScTrq9DOvfO9xJxDuKiSPqGFBbXJ1+rsH4/v3Pc+efX29xm+oqcfVJ+/GFKW0fcMfJHg8KjpM4uQbjgUVvcuMfXubVEgaHQkYNqmXiyBgkRtbxsRH92zy06Jb6HOff/Sy/f2FVi9v0rqli3swDOHz80FIpO2XCg4LjdBJyDcavF67g5oeXtNrnvxRUCcbu0i8Eid1CtdP4Yf0/lLhvw/v1nDX/6VazxNbV1vDTUw/k43t4uonOgAcFx+lkmBlL125m0fL1LFq+gUXL1/P8io28X58r6357Vlcxfni/xruJ0YP78L1fPd9qj6kRdTsx/4wD2WuXfmV1c0qHBwXH6QJsyzXwyppNLHpjAwtjsHjxrY3U5yr3G957aD/mn3EQwwb4Q2mdidaCQgeHOHIcJ2t6VFcxflh/xg/rzxcPDA25W7fleHHluyxavp6F8Y7i5dWbWk1XXSoOGjWQ22ZNKboB20kLDwqO04np1aOaSbvVMWm3Ok6Jr723dRvPr9gQqp1WhECxbO3mku532r5DufHL+3fvIUe7KB4UHKeL0adXDw4ePYiDRw9qfG395g8a2ybydxSrNm7t0OfPOHh3rpj+saTTbzgdx4OC43QD6mp7csi4IRxSMIbBqo1bPhQo1m+ub/VzLjhyLOcfMdYfSuvCJBMUJM0Bjgc+AJYAp5tZ24e0chynXQzt35ujJvTmqAnhuQIz441177Nw+XoWr9jAwjfW8/yKDbz3QY7hA3rznWP34XOTfAyDrk4yvY8kfQb4HzPbJukaADP7dmvv8d5HjlNecg1Gfa6BntVVnsOoC9Fa76NkRvMws/8ys3z+3QXAyEr6OI4T0lb0rqn2gNCNSCYoNOEM4LeVlnAcx+luZNqmIOkhYFgzqy4xs/vjNpcA24A7W/iMrwJfBdh9993LZOo4jtM9yTQomNmRra2XdCrwWeAIa6Gxw8xuBW6F0KZQcknHcZxuTEq9j44Gvg1MNbPSPmnjOI7jtImUeh+9AvQC1saXFpjZ2R/xnjXAsiJ2Oxh4u4j3l4IUHMA9muIeO5KCRwoO0DU89jCzIc2tSCYoVAJJT7fULas7ObiHe3QGjxQcuoNHqr2PHMdxnArgQcFxHMdppLsHhVsrLUAaDuAeTXGPHUnBIwUH6OIe3bpNwXEcx9mR7n6n4DiO4xTgQcHp1shzQDciyYdQc7p2UJBUHf9W9IcvaYyknSrpED0mSupbYYeTJA366C3L6iBJF0oa2dKT8xl6/EjSoZVyKPC4DLggv1xBj+Mk7VKJ/Rd4jJVU8UGnJY2XVJv1frtkUJB0mqRngfMr7DFT0gvAHOAXkiryBHn0WAT8ALhHUs8KeVwK3AZ8qRL7jw6zgIeB/YGNFTwB7g88CewDvF6pq3RJJxPKYxZwMkAlAqWkE4C/AucBP5W0bwUcpktaAlwO/KukgVk7RI+jJb0FXEP4vQ7Ocv9dLihIGg+cCzwAHCJptJmZpEy/q6TpwNeAM83sJKAWOCuuy8xF0jHR4xwzOxEYQxjMKLMrwoLvuxmYD4yX9PEm67Lw+BRwO/AtM5tlZhvzJ8AMyyK/n/HAz8zsJDN7Fchlsf+8g6Qeks4kHJP/ZGajgRUVOhkPImRGPt3MjgFqgAl514wcBgL/AMwws68Aq4FLJI3LYv8FHr2AE4GTzWw68CZwgaTJWTl0iaAgqV9+3sxeJFz1XA/8hXDlgZk1ZOkBLARONbMFcXkucEIWLk08HjKzQ8zscUkDgFfjNirnFWGT/0n++1YDm4DlxMCUZVmY2ePAU4SrcyRdLOl4SX3LfXWc9yjYzzFAfVw3F/i+pAPLfccgqZ8FtgH3mtlUM3tS0j7Au0BWJ+HCY/QDoC/bMyg3AMMlDc/QAcJ3zx+PdwOfB44t9511vpobwMy2AuOAfBXrHMJ5+vAYMMpOpw8Kki4GnpV0jaTT4st/M7N1wH3AGEmHxG3L9n0LPGZLmmlmS4HXCzYZDTxRrv234DHLzOolVUkaCjwIrCcc7HPiXVU5Ha5RyHybb8TsD/ycMFbGcEnXKyRCLAtNPM6ML58LzJf0HFAHfJ0ylkUzHmfEl38JHCPpP4GVBW4zM/CYLelUM9sgqTpeIPwVGAVMjttm9Vs52czeBe4AZkhaTfjdTASuAFrNrFwihxnxfLEYOFXSzsAU4GlCoBpRDofocTnhgmBIXK4inLfGSuppZq8A/wfsCuxdLo8dMLNOOwGHA48AewKHEX5cEwvW9yU0nt1Z8Fp1lh5ATfz7Y+CUCpdHXfw7EPg1cGxGDpPjuiuBg4AZwFvAS8CeGZbFAXHdPwJT4vwQ4FfAtAw99gX2IJwIH4zb9QLOJpwIe2V8jPaIf78B3FKBY3S/uO5E4Po4349wlXx2Rg7j4v/kOuA3hPFc9gX+CIwqg0Mv4DuEhJ73AZ8pWDc9ekyLy4OB3+d/R+WeOvudQg3wrJm9ZmYPAzcCVxWsfw+4F9gk6QpJswlXQ5l5mFl93GY/4FFJ4yRdpvL0wGnO4+r8SjNbH/+uI9SZ7pyRw5XxTqGG0KZwASFAPABMLYNDix4AZnazmT0d59cA6wiBMguPudFjBfA7YGhs99oKDADq43y5PQqP0fwwuFuBDbHNoVznhuY8Zsd164CcpJ0t3D2I0BZXbod/Aa41s2Vm9k1CO+BMM3uBUNVZjmOjnnD8TyAMP3yYpDFx3aPAKuAohR5ybxN+r3uVweNDdPagUAsMUuw+ZmZXE6olvhCXDdhCOCGfA6wxsyVZe8R/9kBC75+7gbfNbG1LH1Zij2EFHtWSBkr6MaGa4KmMHHYlnPzvA2ab2UFmNhd4DlhaBoeWPHbJlwWExkVJ1xKqKspRFs15XEW4Ij3ezO4A7gdukjSP0Cvrzxl57HCMRl4kNPaala+tp6Vj9HjC3eNQQnXetcBRhB5a5Xa4Ehgh6Utx+S1Ju0m6mVB19LdSC8TyfcnM3gPuIYxJP0VSb9te9Z0D7pB0K3AAoRqp/GRxO1LsREzH0cK6PwF/X7D8ZeBPBcu3xam2Ah4L4vxYwjgRc4CdKlUehJPffxOuzvpk6DATeKw9n5FBWexJuCWfW2xZdMDjK02O0SmEIWaz9mj6W6km3MX1KPZ/006PGcCjcX4M4eLpBxkfo03L4n7glnKfNwq2+RowD9i/yesnABcCfYv1aLNvVjvqYGFOJ1Q3TG7yuoj1rvGf+Qix3g/YHbgZ6BeXe1fQY178gQ0BhlfYo4bQxjK4Qg43Ea7QqhI4NnoCvYGBFfYoOgiUyKPoE1+JjtE++W0rWBZ943IpgkFrHlVxvjr+7U+oxppBeF7k86X6n7R3SmY4zjz5rpKSDiM0utUDn5S0zMzeKehKuVXSaMKt1wTgewoPrB0PLLVQJ4mZbamgxzIL9bVrEiiP+vjeTRV0KGqY1RJ6fBA/spLHxlILVQcdpgv+X96Djj08V0KHTdGhQ2XSDg+LHuuA9Wa2UdLLhMC0ltDoXxkqFY2amyi4QiA0CA8n9BS4nTB2c35dFXAx4WT7aUID3acIUfki9yidRwoO7uEeqTt00GMl4XkVER5mfBX4brEexU7J3ClIOg84QtIjwF0W+vkDrJQ0DZgq6RUzW0HoO7wBGGdm78TtHpe0wMyKejLUPdJycA/3SN2hCI8JeQ9JSwldc4u6eywJlY5KMXKeSOj9cRjwb4T650kF6ycR+nSf2Mx7qylBg6V7pOfgHu6RukMJPHqUwqGUUypdUg8GfmKhz/BlwGsUJLMzs4WEQt9P0uEKTyPm6+9yFkvXPUrqkYKDe7hH6g7Femxr5vMqStZJ4tTC8quEVnfMbBnhicI+kj5XsPldhIRV97A9L4h7FOmRgoN7uEfqDil5lJus7xR2SPZVEKnvBTYrZBaF0ADzR2CCAn0JfesXEx7Nv6jJ+92j4x4pOLiHe6TukJJHWckkKEj6pELirzmSJmj74Df5hu53CE/wnRNvqTYQ+tT3jgW3BTjfzI4zs5XN7cM9Op+De7hH6g4peWRF2YOCwihKNxEydK4l1LWdATvkXNmJ8HTpSuBWSbsSBkGpz29nZqvdozQeKTi4h3uk7pCSR6ZYmVuyCflL7orzfYBphERQ4+NrPyQU6P6E/EA/JNx6zaOEGU3dIy0H93CP1B1S8shyKv0Hhlwd3wWOi8tDgJeBMXF5IHApYai5WkJ+/TFNPqMUj5i7R0IO7uEeqTuk5FHJqXQftD0v/SOEvPCriQmnCOmbb4jzVcDfEZLUDSx4f6ly4rhHQg7u4R6pO6TkkcJUug+CT1DwqDhwCvBEnJ9EyB1/ZFzehzDISz4BVskK1D3ScnAP90jdISWPFKai0lxImkUYOu9J4BnCQxv5MUf/ArwQN11MGEfgBkknAEcQ8n3UQPHj9LpHWg7u4R6pO6TkkRrtDgqSRMjd8XPCINdLgLMIXa5WSao2s5zCQOADoLHQbo8t+RcTkj+dZXEksI7gHmk5uId7pO6QkkfStPMWK5/7exxwR5zvQcgD/ssm2/wM+GKcH1bwGT2Lvb1xj7Qc3MM9UndIySP1qU13CvEhjcuBakkPEgaEyEHogyvpG8Cbkqaa2f/Gt20CXpN0OXCSpKPNbLltz2XfbtwjLQf3cI/UHVLy6DS0IbpOBRYCPyHcZj0CHE2oizuoYLtzgIfz0ZbwFN8y4AZgSLHRyz3ScnAP90jdISWPzjS1pVA/DZxSsDwvFuBpwDPxtSpCPd1/EAYlHxML84CSibpHUg7u4R6pO6Tk0ZmmthRqLdCL7XVtM4Gr4vxzwNfj/BTg7rKJukdSDu7hHqk7pOTRmaaPzH1kZpvNbKttH5noKLaPOXw6sI+kBwipYZ+BD6eYLQXukZaDe7hH6g4peXQq2hFxqwm3Wb8F9oqv7QXUEZ7wG5FFFHOPtBzcwz1Sd0jJozNM7cmS2kB4WONtYGKMrv8MNJjZYxbGHs0C90jLwT3cI3WHlDzSp53R9hOEwn0MOLNSkcw90nJwD/dI3SElj9QnxcJqE5JGEnKCXGdmW9v8xhLjHmk5uId7pO6QkkfqtCsoOI7jOF2brMdodhzHcRLGg4LjOI7TiAcFx3EcpxEPCo7jOE4jHhQcx3GcRjwoOE47kJST9JykFyQtlPRNSa3+jiSNkjQjK0fHKQYPCo7TPt43s8lmti8hj86xwKUf8Z5RgAcFp1Pgzyk4TjuQtMnM+hYsjwaeAgYT0i7/O9Anrj7PzJ6QtIAw2PtrwHzgvua2y+grOE6reFBwnHbQNCjE194hjNv7LiGXzhZJY4G7zGyKpEOBb5nZZ+P2tc1tl+03cZzmadNwnI7jtEo+1XINcJOkyYThHse1sH1bt3OczPGg4DhFEKuPcsBqQtvCKmASob1uSwtvu7CN2zlO5nhDs+N0EElDgFuAmyzUww4AVppZAyHxWnXc9F2gX8FbW9rOcSqOtyk4TjuQlAMWE6qAthEajK8zs4bYPvALYDPwMGGox76SaoDfERqjbwceaG67rL+L4zSHBwXHcRynEa8+chzHcRrxoOA4juM04kHBcRzHacSDguM4jtOIBwXHcRynEQ8KjuM4TiMeFBzHcZxGPCg4juM4jfw/Ee27WLwOHsoAAAAASUVORK5CYII=\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots() # Este comando cria uma figura com um eixo\n",
"ax.plot(df_exemplo.index, df_exemplo['coluna_1'], label = 'Primeira Coluna', \n",
" color = 'red') # Inserimos a linha relativa à coluna 1, definimos a cor vermelha\n",
"ax.plot(df_exemplo.index, df_exemplo['coluna_2'], \n",
" label = 'Segunda Coluna', linewidth=6.0) # Inserimos a linha relativa à coluna 2 e aumentamos a grossura da linha\n",
"ax.plot(df_exemplo.index, df_exemplo['coluna_3'], label = 'Terceira Coluna') # Inserimos a linha relativa à coluna 3\n",
"ax.set_xlabel('Data') # Rótulo do eixo x\n",
"ax.set_ylabel('Valor') # Rótulo do eixo y\n",
"ax.set_title(\"Gráfico do df_exemplo\")\n",
"ax.legend()\n",
"fig.autofmt_xdate()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"covid_PB.index = pd.to_datetime(covid_PB.index)\n",
"covid_PB_casos_obitos = covid_PB[['casosAcumulados', 'obitosAcumulados']].sort_index()\n",
"fig, ax = plt.subplots() \n",
"ax.plot(covid_PB_casos_obitos.index, covid_PB_casos_obitos['casosAcumulados'], label = 'Total de Casos', \n",
" color = 'red') \n",
"ax.plot(covid_PB_casos_obitos.index, covid_PB_casos_obitos['obitosAcumulados'], \n",
" label = 'Total de Óbitos', color = 'black')\n",
"ax.set_xlabel('Data') # Rótulo do eixo x\n",
"ax.set_ylabel('Total') # Rótulo do eixo y\n",
"ax.set_title(\"Casos e Óbitos de COVID-19 na Paraíba\")\n",
"ax.legend()\n",
"fig.autofmt_xdate()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Podemos alterar a apresentação das datas utilizando o subpacote *dates* do *matplotlib*."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.dates as mdates"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots() \n",
"ax.plot(covid_PB_casos_obitos.index, covid_PB_casos_obitos['casosAcumulados'], label = 'Total de Casos', color = 'red') \n",
"ax.plot(covid_PB_casos_obitos.index, covid_PB_casos_obitos['obitosAcumulados'], label = 'Total de Óbitos', color = 'black')\n",
"ax.set_xlabel('Data') # Rótulo do eixo x\n",
"ax.set_ylabel('Total') # Rótulo do eixo y\n",
"ax.set_title(\"Casos e Óbitos de COVID-19 na Paraíba\")\n",
"ax.legend()\n",
"ax.xaxis.set_minor_locator(mdates.DayLocator(interval=7)) #Intervalo entre os tracinhos\n",
"ax.xaxis.set_major_locator(mdates.DayLocator(interval=21)) #Intervalo entre as datas\n",
"ax.xaxis.set_major_formatter(mdates.DateFormatter('%d/%m/%Y')) #Formato da data\n",
"fig.autofmt_xdate()"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Vamos agora alterar o formato dos números do eixo *y*. Para tanto iremos definir uma função para realizar a formatação e utilizaremos a função *FuncFormatter* do subpacote *matplotlib.ticker*."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"from matplotlib.ticker import FuncFormatter"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def inserir_mil(x, pos):\n",
" return '%1i mil' % (x*1e-3) if x != 0 else 0\n",
"fig, ax = plt.subplots() \n",
"ax.plot(covid_PB_casos_obitos.index, covid_PB_casos_obitos['casosAcumulados'], label = 'Total de Casos', color = 'red') \n",
"ax.plot(covid_PB_casos_obitos.index, covid_PB_casos_obitos['obitosAcumulados'], label = 'Total de Óbitos', color = 'black')\n",
"ax.set_xlabel('Data') # Rótulo do eixo x\n",
"ax.set_ylabel('Total') # Rótulo do eixo y\n",
"ax.set_title(\"Casos e Óbitos de COVID-19 na Paraíba\")\n",
"ax.legend()\n",
"ax.xaxis.set_minor_locator(mdates.DayLocator(interval=7)) #Intervalo entre os tracinhos\n",
"ax.xaxis.set_major_locator(mdates.DayLocator(interval=21)) #Intervalo entre as datas\n",
"ax.xaxis.set_major_formatter(mdates.DateFormatter('%d/%m/%Y')) #Formato da data\n",
"fig.autofmt_xdate()\n",
"ax.yaxis.set_major_formatter(FuncFormatter(inserir_mil))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
obitos_Norte
\n",
"
obitos_Nordeste
\n",
"
obitos_Sudeste
\n",
"
obitos_Sul
\n",
"
obitos_Centro-Oeste
\n",
"
\n",
"
\n",
"
data
\n",
"
\n",
"
\n",
"
\n",
"
\n",
"
\n",
"
\n",
" \n",
" \n",
"
\n",
"
2020-02-25
\n",
"
0.0
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"
0.0
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"
0.0
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"
0.0
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"
0.0
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\n",
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2020-02-26
\n",
"
0.0
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"
0.0
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"
0.0
\n",
"
0.0
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"
0.0
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"
\n",
"
\n",
"
2020-02-27
\n",
"
0.0
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"
0.0
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"
0.0
\n",
"
0.0
\n",
"
0.0
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"
\n",
"
\n",
"
2020-02-28
\n",
"
0.0
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"
0.0
\n",
"
0.0
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"
0.0
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"
0.0
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2020-02-29
\n",
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0.0
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0.0
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"
0.0
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"
0.0
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0.0
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...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
...
\n",
"
\n",
"
\n",
"
2020-07-14
\n",
"
10628.0
\n",
"
23925.0
\n",
"
33718.0
\n",
"
2740.0
\n",
"
3122.0
\n",
"
\n",
"
\n",
"
2020-07-15
\n",
"
10693.0
\n",
"
24272.0
\n",
"
34246.0
\n",
"
2870.0
\n",
"
3285.0
\n",
"
\n",
"
\n",
"
2020-07-16
\n",
"
10790.0
\n",
"
24645.0
\n",
"
34857.0
\n",
"
2975.0
\n",
"
3421.0
\n",
"
\n",
"
\n",
"
2020-07-17
\n",
"
10911.0
\n",
"
24902.0
\n",
"
35374.0
\n",
"
3104.0
\n",
"
3560.0
\n",
"
\n",
"
\n",
"
2020-07-18
\n",
"
10972.0
\n",
"
25194.0
\n",
"
35732.0
\n",
"
3199.0
\n",
"
3675.0
\n",
"
\n",
" \n",
"
\n",
"
145 rows × 5 columns
\n",
"
"
],
"text/plain": [
" obitos_Norte obitos_Nordeste obitos_Sudeste obitos_Sul \\\n",
"data \n",
"2020-02-25 0.0 0.0 0.0 0.0 \n",
"2020-02-26 0.0 0.0 0.0 0.0 \n",
"2020-02-27 0.0 0.0 0.0 0.0 \n",
"2020-02-28 0.0 0.0 0.0 0.0 \n",
"2020-02-29 0.0 0.0 0.0 0.0 \n",
"... ... ... ... ... \n",
"2020-07-14 10628.0 23925.0 33718.0 2740.0 \n",
"2020-07-15 10693.0 24272.0 34246.0 2870.0 \n",
"2020-07-16 10790.0 24645.0 34857.0 2975.0 \n",
"2020-07-17 10911.0 24902.0 35374.0 3104.0 \n",
"2020-07-18 10972.0 25194.0 35732.0 3199.0 \n",
"\n",
" obitos_Centro-Oeste \n",
"data \n",
"2020-02-25 0.0 \n",
"2020-02-26 0.0 \n",
"2020-02-27 0.0 \n",
"2020-02-28 0.0 \n",
"2020-02-29 0.0 \n",
"... ... \n",
"2020-07-14 3122.0 \n",
"2020-07-15 3285.0 \n",
"2020-07-16 3421.0 \n",
"2020-07-17 3560.0 \n",
"2020-07-18 3675.0 \n",
"\n",
"[145 rows x 5 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"covid_regioes = pd.DataFrame()\n",
"\n",
"regioes = covid_BR.query('regiao != \"Brasil\"')['regiao'].drop_duplicates().array\n",
"\n",
"for regiao in regioes:\n",
" temp_series = covid_BR.set_index('data').query('regiao == @regiao')['obitosAcumulado'].groupby('data').sum()/2\n",
" #Obs.: Utilizamos @ na frente do nome da variável para utilizar o valor da variável no query.\n",
" #Obs.: Dividimos por 2, pois os óbitos estão sendo contados duas vezes, \n",
" #uma para quando codmun == nan e outra quando não é nulo\n",
" temp_series.name = 'obitos_' + regiao\n",
" covid_regioes = pd.concat([covid_regioes, temp_series], axis=1)\n",
" \n",
"covid_regioes.index = pd.to_datetime(covid_regioes.index)\n",
"covid_regioes"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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G8vjjjwPQq1cvVq9efWXbo48+ird32sc4lyxZwosvvkhQUBAPPPAA0dHRxMTEuO4JGIbhdqrK6NDRRCVEMaHtBJcdwnLk8osNVfWCiCwH7gG2q+rpy9tEZDrwazoPTXC4n+qwnIqL4s5Ki8GVBg8eTJMmTXjqqafS3cex62uhQoXS3S81NZXQ0FD8/PycGqNhGJ7r5wM/s/ToUl5p+gq1S9bOkTpd1TsrQESK2/f9gPbAbnu5nMOuDwHbXRFDblSyZEm6d+/Ol19+eWXdHXfcwbfffgvAvHnzaNWqVZqPLVKkyFUtjY4dOzJp0qQry5s3b3ZR1IZheIJDUYd475/3aFqmKb3r9c6xel11OKscsExEtgLrgcWqernF8YF9cnwrcBfwsotiyJWGDBlyVS+tTz/9lJkzZ9KwYUO++uor/vOf/6T5uC5duvDDDz9cObH+6aefEhYWRsOGDalXrx5Tp07NqadgGEYOi02MZdCyQeT3ys97rd5zSVfe9OSpOdaDg4P12kmpdu3aRd26dd0UkZER894YRuZSNZVBywax6vgqpnecTkjZEKfXISIbVDU4rW3minXDMIxcbOG+hSw/tpyhwUNdkkAyY5KIYRhGLhURH8HHGz4muEwwT9R9wi0xmCRiGIaRS40PG098cjxvtnjTbYOW5vn5RAzDMHKbAxcOMGP7DH47+BvPNXyO24rd5rZYTBIxDMPIJTad2cSMbTNYfnw5vt6+PFn3SZ5t+KxbYzJJxDAMw8OpKu/98x7f7P6GYgWK8a9G/6JnnZ6U8C3h7tDMORFP4Iyh4K9VtWrVbI0KPGvWLE6ePHlTdRuG4TyqyoSNE/hm9zc8UfcJFnVbxPNBz3tEAgGTRDyCM4aCdxaTRAzDs8zZOYeZ22fSvVZ3hocMp6BPQXeHdBWTRDzAzQ4FP3z4cM6dO0fHjh1p3Lgxzz33HI4Xkc6dO5dmzZoRFBTEc889R0pKCikpKfTt25f69evToEEDJkyYwPz58wkLC+OJJ54gKCiI+Ph4NmzYQJs2bWjatCmdOnUiPDw8x14Xw8jrtpzdwoQNE2hfuT0jbh/hkdNGm3Mijv54DU5tc26ZZRtA53GZ7nazQ8G/9NJLtGrVirfeeovffvuNadOmAdZV39999x1///03Pj4+PP/888ybN4/AwEBOnDjB9u3W0GUXLlygePHiTJo0ifHjxxMcHExSUhIDBw7kp59+IiAggO+++44RI0YwY8YM575GhmFcJyYxhuErh1OmYBlGtxyNl3jmb36TRDyE41DwjiPvhoaGsnDhQsAaCt4xyTgOBb9y5cor+913332UKGEdL126dCkbNmwgJMS6kjU+Pp7SpUvTpUsXDh48yMCBA7nvvvvo2LHjdTHt2bOH7du306FDBwBSUlIoV67cdfsZhuFcqso7oe9w6uIpZt0zi6L5i7o7pHSZJOIoCy0GV7rZoeDTauqqKn369OG99967btuWLVv466+/mDx5Mt9///11LQxVJTAwkNDQ0Bt9KoZh3ISfDvzEH4f/YGDjgQSVDnJ3OBnyzPZRHnUzQ8HfeeedzJs3D4A//viD8+etySLbtWvH/PnzOXPmDACRkZEcOXKEiIgIUlNT6datG++88w4bN24Erh5Svnbt2pw9e/ZKEklKSmLHjh0ueOaGYVx2OOowY9eNJaRsCP3q93N3OJkyLREPM2TIkKvmAfn00095+umn+fDDDwkICGDmzJlpPm7kyJH07NmTJk2a0KZNmytTAderV48xY8bQsWNHUlNT8fHxYfLkyfj5+fHUU0+RmpoKcKWl0rdvXwYMGICfnx+hoaHMnz+fl156iaioKJKTkxk8eDCBge6dvMswblVxSXEMWzmM/N45P6R7dpmh4M1w4x7LvDdGXpKqqbyy/BWWHVvGpLsn0bpia3eHdIUZCt4wDMPDTdo0iaVHlzIseJhHJZDMuGp6XF8R+UdEtojIDhEZ7bCtpIgsFpF99t9sX3YpIgNEpLd9f5aIPOKM+A3DMHLSmpNrmL5tOo/UesRtQ7pnl6taIgnA3araCAgC7hGR2+1trwFLVbUmsNRezhZVnaqqc246WsMwDDeJSojizb/f5LZitzE8ZLhHXlCYEZckEbXE2os+9u3yyZcHgdn2/dlA12sfLyJtRWSFiHwvIntFZJyIPGG3braJSHV7v1EiMtQVz8EwDMPV4pPjGbN2DOfizzG21Vh88/m6O6Qb5rLeWSLiDWwAagCTVXWdvamMqoYDqGq4iJROp4hGQF0gEjgIfKGqzURkEDAQGJzFOPoD/YErPZYMwzDcRVXZeGYjPx/4mb8O/8XFpIu8EPQCgf65s9ejy5KIqqYAQSJSHPhBROqr6vYbKGL95WQjIgeARfb6bcBdNxDHNGAaWL2zbqB+wzAMp9p1bhdDVwzlaMxRCuYrSMeqHXmg+gMEl0mz41Ou4PLeWap6AVgO3GOvOi0i5QDsv2fSeWiCw/1Uh+VUbsHrW959910CAwNp2LAhQUFBrFu3LvMH2cyw74bh+SLiIxj434EkpCQwttVYlnVfxjst3yGkbEiuOw/iyCVfxiISACSp6gUR8QPaA+/bm38G+gDj7L8/uSKG3CQ0NJRff/2VjRs3UqBAASIiIkhMTHR5vbNmzaJ+/fqUL1/e5XUZRl6WlJLEkOVDiEqIYnbn2dQrVc/dITmNq1oi5YBlIrIVWA8sVtVf7W3jgA4isg/oYC/naeHh4fj7+1OgQAEA/P39KV++/FUtjLCwMNq2bQtghn03jFxmwsYJbDyzkbdbvn1LJRBwUUtEVbcCjdPZdg5ol8njl2MdAru83Datbao6ymF932yGe8X7/7zP7sjdN1vMVeqUrMPwZsMz3Kdjx468/fbb1KpVi/bt29OjRw/atGmT7v6jR482w74bRi6x+sRqvtr5FT3r9KRztc7uDsfpbrlzC7lR4cKF2bBhA6tWrWLZsmX06NGDcePSb6CZYd8NI3c4F3+Of6/+NzWK1+CVpq+4OxyXMEnEQWYtBlfy9vambdu2tG3blgYNGjB79mzy5ct3ZYDES5cuXbW/GfbdMDxbSmoKr696nZjEGKZ1nJYrrwHJCjN2lgfYs2cP+/btu7K8efNmqlSpQtWqVdmwYQMACxYsuLLdDPtuGJ5v8ubJhIaH8kbzN6hVopa7w3EZ0xLxALGxsQwcOJALFy6QL18+atSowbRp09i1axf9+vVj7NixNG/e/Mr+Zth3w/BsS48uZfq26XSr2Y1utbq5OxyXMkPBm+HGPZZ5b4zcaOvZrfT7qx81itdgVudZFPAu4O6QbpoZCt4wDCMHHIo6xAtLXyCgYAAT2028JRJIZkwSMQzDcIKElAQGLRuEl3jxefvP8ffzd3dIOcKcEzEMw3CCKZuncCjqEJ+3/5xKRSu5O5wcY1oihmEYN2nHuR3M2jGLh2o8xB0V7nB3ODnKtEQMwzCyKTYxlh/3/8jMHTMp6VuSoSF5b3ojk0QMwzBu0JHoI3y962t+3P8jcclxBAUEMTRkKEXzF3V3aDnOJBEP8e677/L111/j7e2Nl5cXn3/++VXXhjiaNWsWYWFhTJo0KYejNAxj4+mN9FvUD4DOVTvzeN3Hqe9f381RuY9JIh7AXUPBG4ZxYyLiIxi6YijlC5Vn5j0zKV0wvYlZ8w5zYt0D3OhQ8IZh5Lyk1CSGrRhGTGIMH7f92CQQm2mJODg1diwJu5w7FHyBunUo+8YbGe5zo0PBG4aRs+KS4hiyYghhp8MY22ostUvWdndIHsO0RDzA5aHgp02bRkBAAD169GDWrFnuDsswDCAmMYb+i/uz5uQaRrYYSZfqXdwdkkdx1fS4lYA5QFmsOdGnqep/7G2jgGeBs/bub6jq79msZwAQp6pzRGQW8Kuqzs9u3Jm1GFzpRoeCNwwjZ4xdN5YdETv4qM1HtK/S3t3hZI8qJF6EAoWdXrSrWiLJwBBVrQvcDrwgIo5zQk5Q1SD7lq0EAqCqU1V1zs0G6243OhS8YRg5Y8mRJfx68Ff6N+yfexNIdDjMewT+r6+VTJzshloiYs2EVFBVL2a0n6qGA+H2/RgR2QVUAHZmsZ62wGjgNBAELAS2AYMAP6Crqh6wWzWxqjr+Rp6Hp7nRoeANw3C9c/HneDv0beqWrMszDZ9xdzg3ThW2zYffh0JyAnR8xyXVZJpERGQO8CJW6yIM8BeRcar6cVYqEJGqWPOtr3NY/aKI9LbLG6Kq59N4aCOgLhAJHAS+UNVmIjIIGAgMzmL9/YH+wJV5NzxN06ZNWbNmzXXrW7duzd69e69b37dvX/r27ZsDkRlG3pSUmsSwlcO4mHSRsa3G4uPl4+6QbkzEPvhtCBxaARWC4aHPwb+GS6rKyuGsBqoaDXQFFgEVgb5ZKVxECgMLgMF2GQBTgOpYLYxw4KN0Hr5eVcNVNQE4YNcNVoukalbqB1DVaaoarKrBAQEBWX2YYRh52Pv/vM/6U+sZdccoapRwzZevy+z5A6a2hpOb4d7x0G+RyxIIZO1wVn4RyQc8CExR1UQRSc3sQSLig5VA5qnqwsvrVfW0wz7TgV/TKSLB4X6qw3JqFuM2DMO4YT/u/5Hv9nzHU4FP5b6eWOu/gN+HQblG0PNbKFLW5VVmpSXyBXAUKAGsEJHKQGxGD7DPnXwJ7Lr2sJeIlHNYfAjYfkMRG4ZhuEh0YjQfhX1Ek9JNGNRkkLvDybqkS/DzS9YhrJodoe9vOZJAIAu/6FV1AjDh8rKIHAPuzuRhLYFewDYR2Wyvu9yV9wMRCQIUOAw8l424DcMwnG7almlEJUTxevPX8fbydnc4WXP+MHzfG8K3QOshcNcIyMHYs3JivQjwJnCnvWoFMAZId3AnVV0NSDrbemVWp6ouB5Y7LLdNa5uqjnJY3zezcg3DMNJzNPoo83bPo2uNrtQpWcfd4WTN3kWw8FmrJ1bPb6F25xwPISvnFmYAe4He9nIvYCbwiKuCMgzDyCmnLp5i4b6FLNi3AB8vHwY2HujukDKXmgLLx8HKD6BsA+j+FZSs5pZQsnJOpKaqjlDVvfbtTSCXdVfwfKdOneKxxx6jevXq1KtXj3vvvTfN7r2ZmTVrFidPnrzpeI4fP86DDz5IzZo1qV69OoMGDcr2yMJjx4696XgMw9kORx3m36v/TecFnZm6ZSo1itdgcrvJBBT08F6cMadhbjcrgTR+EvotdlsCgawlkUsi0uLygojcDpgxOJxIVXnooYdo27YtBw4cYOfOnYwdO5bTp09n/uBrZJREUlJSshzPww8/TNeuXdm3bx979+4lNjaWESNG3HA8YJKI4XmORh+l5289+evwX/So04PfH/6dzzt8TkjZEHeHlr6UZFg7BSYFw5E18MBEeHAy+Pi5Ny5VzfAGNAF2APvt2zYgKLPHeeKtadOmeq2dO3dety6nLV26VFu3bp3mtg8++ECDg4O1QYMG+tZbb6mq6qFDh7ROnTr6zDPPaL169bRDhw4aFxen//d//6eFChXSWrVqaaNGjTQuLk6rVKmio0eP1pYtW+o333yjmzZt0ubNm2uDBg20a9euGhkZeV2dS5YsuS6eqKgoLVmypF68eFGTk5N16NChV+KaOnWqqqqePHlSW7durY0aNdLAwEBduXKlDh8+XL28vLRRo0b6+OOPq6rqV199pSEhIdqoUSPt37+/Jicnp/ncPeG9MW498Unx+sjPj2jLb1rqsehj7g4na2LOqM7orDqyqOpXD6tG7M/R6oEwTed7NSvnRCJUNVBESgKiqufsbr63nFXf7yXiWIa9l2+Yf6XCtO5eK8N9tm/fTtOmTa9bv2jRIvbt28c///yDqvLAAw+wcuVKKleuzL59+/jmm2+YPn063bt3Z8GCBTz55JNMmjSJ8ePHExwcfKUcX19fVq9eDUDDhg2ZOHEibdq04a233mL06NF88sknV9W7Y8eO6+IpWrQolStXZv/+/axdu5ZixYqxfv16EhISaNmyJR07dmThwoV06tSJESNGkJKSQlxcHK1bt2bSpEls3mx10tu1axffffcdf//9Nz4+Pjz//PPMmzeP3r17Yxg54f3177M7cjeT202mYpGK7g4ncyc2wHe9IO6cdeV5wx4gafZbcousJKCTPNMAACAASURBVJEfgSaqGnntOteEZFy2aNEiFi1aROPGjQFrjK19+/ZRuXJlqlWrRlBQEGANm3L48OF0y+nRowcAUVFRXLhw4cpcJX369OHRRx+9bn9VRdL4kF5ev2jRIrZu3cr8+fOvlLtv3z5CQkJ4+umnSUpKomvXrlfic7R06VI2bNhASIh12CA+Pp7Spc3kPkbOWHFsBfP3zqdf/X7cWfHOzB/gTqkp8PcnsGwsFCkHT/8F5a//n3K3dJOIiNTCGruqmIg84LCpKODr6sDcIbMWg6sEBgZe+UJ2pKq8/vrrPPfc1ZfSHD58+MosiGANIx8fH59u+YUKFcqw/mPHjtGli3Vl7oABAwgMDLxu1ODo6GiOHTtG9erVUVUmTpxIp06dritr5cqV/Pbbb/Tq1Ythw4Zd18JQVfr06cN7772XYUyG4WzRidG8Hfo2NUvU5IWgF9wdTsbiz1uj7h5cDoEPwf0TwK+Eu6NKU0Yn1gOxuvEWBx51uN2BuUDQqe6++24SEhKYPn36lXXr16+naNGizJgxg9hY6xDbiRMnOHPmTIZlFSlShJiYmDS3FStWjBIlSrBq1SoAvvrqK9q0aUOlSpXYvHkzmzdvZsCAAbRr1464uDjmzLFG2U9JSWHIkCH07duXggUL0qlTJ6ZMmUJSUhIAe/fu5eLFixw5coTSpUvz7LPP0q9fPzZu3AiAj4/PlX3btWvH/PnzrzyPyMhIjhw5kt2XzjCy7OOwj4m4FME7d7yDj7cHD6h47gB80R4O/w0PTIJHZnpsAoEMWiKq+gPwg4i0UuviQcNFRIQffviBwYMHM27cOHx9falatSqffPIJxYsXp0ULq3Nc4cKFmTt3Lt7e6V+N2rdvXwYMGICfnx+hoaHXbZ89ezYDBgwgLi6O2267jZkzZ6Ybz/PPP88777xDamoq995775VeVs888wyHDx+mSZMmqCoBAQH8+OOPLF++nA8//BAfHx8KFy58JQn179+fhg0b0qRJE+bNm8eYMWPo2LEjqamp+Pj4MHnyZKpUqeKMl9Iw0rQ2fC0L9i3gqfpPEegf6O5w0ndmF8y6HzQV+vwMVe5wd0SZEk1nkhIRGaKqH4nIBKwhSq6iqq+4OjhnCw4O1rCwsKvW7dq1i7p167opIiMj5r0xnCE+OZ6Hf3oYby9v5neZj28+Dz0af2Y3zL4fxBv6/gr+Nd0d0RUiskFVg9PaltGJ9QP2XzNAomEYudZnmz/jeOxxZnSa4bkJ5MQG+LoHiJfHJZDMZHQ460f775cAIlLQWtT0z+AahmF4kB3ndjBn5xy61ezmuRcS7v4d5j8NhQPgyYW5KoFAFq5YF5EmIrIJa/ysfSKyQUQauz60nJPeIT3Dfcx7YtyspNQkRq0ZRSnfUrwS7IFH3xNirbk/vu0JpevCM0tzXQKBrF0nMhNrZsJlcGX+81lY09fmer6+vpw7d45SpUqleW2EkfNUlXPnzuHr66GHHoxcYc6OOeyO3M0nbT+haP6i7g7nf1Rhxw+weCREHYPmA6DdSMhf0N2RZUtWksjFywkErKHYRcS5l3W7UcWKFTl+/Dhnz551dyiGA19fXypWzAVXExse6Uj0EaZsmUL7yu1pV6Wdu8P5nzO74OeBcHw9lA6Ep/+Eyre7O6qbktHFhg3tu+tEZDLwDVYvrR7AsvQeZz+2EjAHKIs1ne00Vf2Pva0k8B3WPOmHge6qej47wYvIACBOVeeIyCzgV1W9/qq9DPj4+FCtmvtGwDQMw7lSNZVRa0aR3ys/rzd/3d3hWFRh4xz4YzgUKGxd/xH0eI5OHuUqGbVEJl+z3NDhfmYHrJOBIaq60Z7UaoOILFbVncBrwFJVHScir9nLw280cABVnZqdxxmGcev6Yd8PhJ0OY2SLkZQu6AFD6qjCXyNg7WS4rS08NA2KlHF3VE6TUe+s1tktVFXDgXD7foyI7AIqADuBB4G29q6zsWYpvCqJ2OddRgOngSBgIdbowYMAP6Crqh4QkVFArKqOz26shmHcOo5GH+WjsI8IKRtCt5rd3B2OlUAWv2klkGbPwT3jwCsrM3DkHhmeExGRusBQrCFQFCsJjFfVXVmtQESqAo2BdfaqMnaSQVXDRSS9nwqNsMbuigQOAl+oajMRGQQMBAZnNQbDMG5t60+tZ9aOWaw+sZoC3gUY2WKk+zvKqMKif0PoJAh5Fjq/71Gj7zpLRudE7gf+A7yPdWhLgKbAzyLyiqr+klnhIlIYWIDVuyv6BmNbfznZiMgBYJG9fhtwV1YLEZH+QH+AypVvyRHsDSPPOnXxFB+s/4DFRxbj7+dPv/r96FarGxUKV3BvYCnJ8Osg2DQXmvWHzh/ckgkE0kgiItLFThBjgA6qetBh8wYRWQL8AGSYRETEByuBzFPVhQ6bTotIObsVUg5Ib0TBBIf7qQ7LqWnFnR5VnQZMA2vYk6w+zjAMz3Yk+ghP/fkUMYkxvBD0An0D+3rGFemxZ+HHAbB/CbR5Ddq+dssmEEj7y7itfTLc55oEAoCqHrQTRLrEakd+CexS1Y+v2fwz0AcYZ//9KVuRG4aRZx2LPsbTfz1NcmoyX9/3NTVLeMhFegeWwcL+cCkK7v8Egp9yd0Qud90ZHlUdgtWCSBGR6zrq2913M5usuyXQC7hbRDbbt3vtbeOADiKyD+hgLxuGYWTJ2vC19PqjFwkpCUzvON0zEogqrPsc5j4MBUtC/2V5IoFAxqP4Pgy8B7wDbMA6sR4CjABGqOqCNB/owdIaxdcwjNxj2tZpTNo0iWrFqvFRm4+oUaKGu0OClCTr+o+wL6H2vfDwdOtakFtItkbxVdWFInIYq3fWMKwT69uBJ1R1gysCNQzDSM+fh/5k4qaJ3FvtXka2GElBHw8YJiT+PHzfBw6tgJaDoN2oW64Lb2YyPEGtqhuBx3MoFsMwjDQdiz7GqNBRNApoxJhWY/DxcvPMhKqwb5HVAok6Dg9+Bo2fcG9MbpLlXk6GYRjukJiSyNCVQ/ESLz648wP3J5CLEfDDc1bvq1I1oM8vUKWFe2NyI5NEDMPwaBM2TGDnuZ18ctcnlC9c3r3BROyDeY9AzCno9B6EPAP58rs3JjczScQwDI+1/Nhy5u6ay+N1HqddZTePxnt4NXz7BHj7QN/foGKa55nznKxMSlVDRP4SkS32ckMR8ZChMQ3DuFWdjD3Jv//+N3VL1mVI8BD3BrPlW5jTFQqXgWeWmATiICvdCL7AGgwx1V7eBjzpsogMw8jzLiVfYvCywaSkpvBhmw/J7+2mQ0aqsOJD6xxI5duh319Qoqp7YvFQWTmcVUhV11wezExVVUSSXBuWYRh5Vaqm8s7ad9gVuYtJd0+iStEq7gkkJRl+ewU2zoZGPaHLp3n+/EdaspJEzolINew5RESkK3DKpVEZhpHnnIk7w4J9C/hp/0+ciD3B842ep02lNu4JJvEi/N9TsO8vaD0U7v73LT3+1c3IShJ5EWscrDoicgRrnpCeLo3KMIw849TFU0zcNJHfD/1Ocmoyzcs1Z2DjgXSu1tk9AcWeha8fhfAtcP8ECH7aPXHkEpkmEVXdjzUGVjGsYVIuuD4swzDygpOxJ3n6r6eJvBRJ91rdebLuk1QqWsl9AZ07YI1/FXMaHvsaarspkeUiGc0n8lI66wFQ1U9dFJNhGHnAqYun6PdXP6ITopl5z0wCSwW6N6AjofDt49Zhq76/mh5YWZRRSyTA/lsTaMb/5g+5H1jhyqAMw7i1RSdGM2DxAM4nnGdah2nuTSCJF+G/78Laz6yeV08ugFLV3RdPLpPRAIxvAojIX0DQ5ZkJReRN4LucCc8wjFtNUmoSQ5YP4Uj0EaZ2mErDgIbuC+bgCvjlJTh/GIL7QftR4FvUffHkQlk5sV4FuOSwnABUc004hmHc6j745wPWhq9lTMsxNC/X3D1BXIqCRW9a3XdL3mZdgV61lXtiyeWykkS+BtaJyAKsbr4PA3NdGpVhGLekf8L/4ds939KrXi8erPGge4LY8yf8+jLEnoI7BkLbNyC/Bwwrn0tlesW6qr4N9AfisVokA1R1TGaPE5EZInJGRLZfs36UiJxIY8bDGyYiA0Skt31/log8kt2yDMNwrfjkeEaFjqJSkUoMbDww5wNITrCGbv+mB/gVt4Yv6TjGJJCblKUBGFV1PbD+BsueBUwC5qSxbYKqjr/B8tKKa+rNlmEYRs6YsnkKx2KO8WXHL/HL55ezlUedgO+egJOboPm/oMNoyFcgZ2O4RblsFF9VXSkiVbPzWBFpizVe12kgCFiINWbXIMAP6KqqB0RkFBDrjIRkGIbr7IjYweyds+lWsxvNyjXL2crDt8LX3SEhBnrMhbpdcrb+W5y75nF8UUS22oe8SqSzTyOspNEA6AXUUtVmWANCuqEtbBhGdiSlJvHWmrco5VuKV4JfydnKDyyDmZ1BvODpv0wCcQF3JJEpQHWsFkY48FE6+61X1XBVTQAOAIvs9duAqlmtTET6i0iYiISdPXs2+1EbhpEts7bPYu/5vYy4fQRF8+dg99ndv1stkOJV4JmlULZ+ztWdh2R0xfp57EEXr92ENZhvyexUqKqnHeqYDvyazq4JDvdTHZZTuYHDcKo6DZgGEBwcnNbzMQzDRfae38uULVPoUKVDzk0qpQobZsJvQ6F8EDwxHwpm6+vKyIKMvoz9XVGhiJRT1XB78SFge0b7G4aROyWmJPL6qtcpkr8II5qPyJlKk+LhtyGweR7UaA+PzoICRXKm7jwqoyvWUxyXRaQk4Ouw6mRGBYvIN0BbwF9EjgMjVfVL4AMRCcJq5RwGnstW5IZheCxVZdKmSew9v5eJd0+klF8p11d6/jB81wtObYU2r0GbV8HL2/X15nGimvERHhG5D5gAVATOARWAvapax/XhOVdwcLCGhYW5OwzDuGUlpCTwx6E/+HrX1+yK3EW3mt0Ydcco11aqCjt/hF8GAwoPT4danVxbZx4jIhtUNc0RKbNybuFdoCWwSFUbi0gHoJszAzQMI3e7lHyJL7Z9wf/t/T8iL0VSvVh13rz9TR6q8ZBrKw7fal1AeHQNlG0I3e1hTIwck5UkkqyqZ0XES0REVReLyLsuj8wwjFwhJTWF11a9xtKjS2lbsS2P132c28vdfmXaCJdIToCVH8Kqj8GvhDV5VOPe4O2yS9+MdGTlFY8SkULAamCOiJzB6iFlGEYep6p8GPYhS48uZXjIcJ6s96TrK40Ot4YuCd9izX3eaazpfeVGWUkiXbHGzBoM9AaKYc0pYhhGHvf9nu+Zt2sever1ypkEcnonzHsULl2wZh6sc5/r6zQylJWLDV9X1RRVTVLVL1X1YyCHLzs1DMPTbI/Yzrj142hdoTVDg4e6vsKTm2HmPaAp8NQfJoF4iKwkkXvSWGfePcPIw6ISohiyfAil/UrzXuv38BIXD34RvhXmPAgFikG/RVDOjRNZGVfJ6Ir154ABQC0R2eiwqQhg+skaRh6Vqqm8sfoNzsSfYc49cyhWoJhrKzy9w0og+QtD31+geGXX1mfckIzOiXwPLAXeA15zWB+jqmdcGpVhGB5rxvYZrDy+kjeav0GDgAaurezMbpj9gDVse5+frTnQDY+S0RXr54HzwKMiUh+4PHfkKsAkEcPIg9afWs/ETRPpXLUzj9V+zLWVRR6EOQ9YV533+RVKVXdtfUa2ZHogU0RewGqVVLZv34vI864OzDAMz3I27izDVgyjcpHKjLxjpGuvA7kYAXO7QUoi9PkF/Gu4ri7jpmSli+9zQDNVjQUQkbHAGuAzVwZmGIbnSE5N5tWVr3Ix6SLTO06nkE8h11WWEAvfPAbRJ6H3zxBQ23V1GTctK0lEgCSH5SR7nWEYecSnmz4l7HQYY1uNpWaJmq6r6MJR+KYnnNkJ3edA5eauq8twiox6Z+VT1WTgK2CtiCywNz0EzM6J4AzDcL/5e+czc/tMutfqTpfqLpoZMDkRti+AxW9a95+YDzVyaP4R46Zk1BL5B2iiqh+IyDKgNVYLZICqrs+R6AzDcKvlx5YzZu0YWlZoyevNX3d+Baqw9XtYOhqiT0DZBtBtBgTUcn5deVhySirRl5IpWSi/08vOKIlcOWRlJw2TOAwjD1BVQk+GMmP7DNadWkfdknX5qM1H5PNy8uCGMafh18Gw53eo0BS6/MeaSMqVJ+zzAFUlPOoSq/dHsGLvWXaFR3MsMo6gSsX5vwF3OL2+jD4VASKS7vAm9vAnhmHcQg5cOMAH6z9gzck1lC5YmleavkL32t2deyJd1Tp09ftQSIyDju/C7f8yE0hlQ1JKKgfPXmRneBQ7T0azMzyanSejOR9nncYuXaQATauUoFNgWeqVc8389hklEW+gMNk8iS4iM7AGajyjqvUd1pcEvgOqYs1s2N2+JiU7dQwA4lR1jojMAn5V1fnZKcsw8rptZ7fR98++FPAuwLDgYfSs0xMfbx/nVpKaCr+8BJu+slofXaeaQ1dZcCEukd2nYtgdHs2e0zEcOHOR8Oh4TkVdIinFmlgwfz4v6pQtQsd6ZalbrgjNqpWibrkiru2KTcZJJFxV376JsmcBk4A516x/DViqquNE5DV7eXh2KlDVqTcRn2EYtqiEKIauGIq/nz/z7puHv5+/aypa/KaVQFq9DHf928z/cY3UVOVoZBzbT0ax/UQ0u8Kj2X0qmtPRCVf2KV7Qh1qli9CkcgnKFfOjTtki1CtflNv8C5HP28VjmKUhS+dEskNVV4pI1TQ2PYg19zpYvbyWc00SEZG2wGjgNBAELAS2AYMAP6Crqh4QkVFArKqOv5lYDSMvu3YsLJclkNWfQOgkaNYf2o3Ms+c+VJWzsQkci4zjaGQcR8/FW38jL7I7PIaYhGQAfLyFGqWL0LK6P7XLFqFOuaLUKVuE0kUKuLx1cSMySiKu6l9XRlXDAVQ1XERKp7NfI6AuEAkcBL5Q1WYiMggYiDW/iWEYN2nSpkmsPL6S15u97rqxsNZMhCUjIfBhuOf9PJVAzsUm8PeBc6w/FMn2k1HsORVDXGLKVfuUK+ZLpRIFebBxeeqXL0b9CsWoWaYwBfJ5/nmijMbOiszJQNKw/nKyEZEDwCJ7/TbgrqwWIiL9gf4AlSub0T8Nw9EvB35h+rbpdKvZjZ51erqmktUTYMkoqNcVHp4GXjl/yCUnxSem8M/hSP7eH8HqfRHsDI8GoHCBfASWL0r34EpU8y9E5VIFqVyyIBWK++Hr4/nJIj3uOCB5WkTK2a2QcqQ/mGOCw/1Uh+VUbiBuVZ0GTAMIDg7WbMRrGLek0JOhjFwzkpCyIYxoPsI1h0hWjof/vgP1u8FD027JcyDnLyay70ws6w9HsnpfBBuOnCcxJZX83l40rVKCYZ1q06qGP/UrFMPb69ZrgbnjHf0Z6AOMs//+5IYYDCNPW3Z0GUNWDKFqsapMaDvB+b2wVGHlh7DsXWjQHbpOydUJRNU64b352AW2HIti+8kozsYkEHkxkaj4/40KVa9cUZ5qWZWWNfwJqVoSv/y5t4WRVS57V0XkG6wT6P4ichwYqapfYiWP70WkH3AUeNRVMRiGcb3fD/7OG6vfoF6pekxpP8X5k0qlJMEfr0LYDGjUEx6cnOuuAbmUlMKGI+dZd/Acm49HsfX4BS7Y114UyOdFYPmiBJYvSslC+alcsiDVSxemYYVilCpcwM2R5zxRzTtHeIKDgzUszEzKaORdC/YuYHToaJqWacqkdpOcPxrv+cPwy2A4uAxaDrZ6YeWCcyCxCcnsOx3DhiPnWbUvgnWHznEpKRUvgVplihBUqTiNKhWnYcVi1CpTBB83dKV1JxHZoKrBaW3Lve1LwzBuyA/7fmBU6ChaVWjFx20/xi+fn/MKj4u0zn1snAPiDQ9MhCa9nVe+k0VeTGT5njOEHjjH+sORHD4Xd2Vb9YBCPBZSmdY1/Wl+WykKFzBfkxkxr45h5AF7z+9lzNoxtCjXgk/v+tS550COhMKCZyD2FDTtC62HQNHyzivfCVSVPadj+O/uMyzddYaNR8+jal24F1K1JI8GV6Jm6cLUr1CM8sWdmFzzAJNEDOMWF58cz7AVwyiSvwjvtX7PeQlEFUInW1ehF68CzyyB8o2dU7YTRF5MZOmu0yzbc4Z1ByM5dzERgPoVivLS3TVpV7c09csXw+sW7DGVk0wSMYxbWNipMCZumsjBqIN83uFzSvmVck7ByYnw+xDr8FXdLvDgZ+DrmgH+bkR8YgprD55j3roj/Hf3GVIVyhb1pU3tAG6vVoo7awVQtpivu8O8pZgkYhi3GFVl3al1fL7lc8JOh1HKtxRv3/E2d5R30jDgF47C/H5w/B9oPRTuGpHjJ89VlSPn4lhz4BzbT0ZxOOIihyIuEh51CQD/wgV4rk117q1fjvoVinrUMCG3GpNEDOMWEpUQxbAVwwgND6W0X2lea/Ya3Wp2wzefk3597/oVfnreOpT1yEyo/7Bzys2i6EtJLNhwnK/WHuHg2YsAFPPzoZp/IVrcVopq/oWoU64obWoFkD9f3upB5S4miRjGLSI8NpwBSwZwLOYYrzV7jUdqPUIBbyddt5B0yTr38c8067zHIzOhZDXnlJ0Fe07FMCf0MD9sOkFcYgpBlYrz9oOBtKzhz23+hUxLw41MEjGMW8DBCwd5dtGzxCfH83mHzwkpG+K8wiP2w/y+cGob3P4CtB8F+Zw/zeq1klJSWbzzNHNCD7P2YCT583nxQKPy9G5RhYYVi7u8fiNrTBIxjFxud+Ru+i/qj7eXN7M6z6JWCSdO8rTlO/jtFfD2gZ7fQe17nFd2Oo6fj2PhxhN8ve4op6IvUbGEH691rkP34EoumSPcuDkmiRhGLrbl7Bb+teRfFPIpxBcdv6BK0SrOKTjxIvz+KmyeC5XvgG5fQLEKzin7GkkpqWw6eoG1B8+xfM8ZNh69AMCdtQIY07U+d9UpfUsOXHirMEnEMHKp9afW88LSF/D38+eLjl9QvrATLvBLTYVdP8HSdyDyINw5DNq85pLBE7cdj+L7sGP8ti2cyIuJiEBg+aK8ek9tujQsT6WSBZ1ep+F8JokYRi7084GfeTv0bSoWrsj0jtMJKBhwcwWqwr7F8N+3rXMfAXWg909wWxvnBOxg9b4I/rN0L+sPn8fXx4v2dctwX4NytKheiuIFzeGq3MYkEcPIRS4lX2LsurH8sP8HgssE81HbjyjpW/LmCj27F34eCMfWQomq8NDn0OBRp4+8m5Ccwgd/7uHL1YeoUNyPf99Xl+4hlSjq6+Rh6I0cZZKIYeQS0YnRDFw6kI1nNtK/YX/+1ehf5PO6iX9hVdj0FfwxHHz84P4J0LiXdRLdiVSVv3ac5qNFe9h3JpY+Larw+r11c/Vsfsb/mCRiGB7uUvIlNp/dzAfrP+BQ1CE+vPND7ql2k72kVGHpaGvq2mptrNZH0XLOCdh2KSmFX7acZObfh9kZHs1tAYWY0TeYu+uUcWo9hnuZJGIYHihVUwk9Gcr3e75n1YlVJKUmUcinEJ+1+4wW5VvcfAUrPrASSNO+cN+Emxq2RFXZejyK1fsjOH4+npMX4jlxIZ7j5+O4lJRKzdKF+fCRhjzUuAL58tg8HHmBW5KIiBwGYoAUIDm9yU6yWNbvwOOqekFEYlW1sJPCNAy3iIiP4OVlL7P57GZK+pakR+0etCjfgialm1A4/01+vC9GwOKRVtfdRj1vKoFExScxZ81hvv7n6JUxq0oVyk/54n7UCCjMnTUDaF+vNC1uK2WuKL+FubMlcpeqRtxsIap6rzOCMQxPsD1iO4OWDSImMYZRLUbRpXoX8ns7oceSKmyaC4tGWNeAtBwEd7+VrQSSmJzKF6sP8tmyA8QmJNOmVgBDO9bm7jqlKWEuBsxzPPZwlojMAuKBOkAV4CmgD9ACWKeqfe39DgPBzkhIhuFOvxz4hVFrRuHv58+cznOoU7KOcwqOvwC/DIKdP0KVVnD/xxBQ+8aLSUxh+Z4zTFiyl72nY+lQrwyD29cksLyT52g3chV3JREFFomIAp+r6rR09isB3A08APwCtASeAdaLSJCqbs6sIhHpD/QHqFy5sjNiNwynStVUPtnwCTN3zCSkbAjj24y/+W67lx0JhYXPQky4Nd95y0E33HX3cMRFJi3bz29bw4lPSqFCcT++7BNMu7rmBLnhviTSUlVPikhpYLGI7FbVlWns94uqqohsA06r6jYAEdkBVAUyTSJ2gpoGEBwcrE57BobhBJeSL/HG6jdYfGQxPWr3YHiz4fh43WQXW1XrgsFNc2H9dGvWwacXQcWmN1TMhbhE3v9zD9+HHSOfl9CtaUXua1CO5tVKmhPkxhVuSSKqetL+e0ZEfgCaAWklkQT7b6rD/cvLHnsozjCy4kj0EV5f9TrbI7bzasir9KrX6+YLPbsXfvwXnAgDLx8IehzuGQcFimS5iEtJKfy8+STv/7mbC/FJ9Lq9Cs+3rU7pomZGQON6Of5FLCKFAC9VjbHvdwTezuk4DMNdUlJTmLdrHhM3TcTH24cJbSfQrkq7myw0GcJmwOK3rAsH7x0P9btBwawfFtt9Kppv/znGj5tPcCEuiaBKxZn7cAPqlnP/tLeG53LHr/kywA92l798wNeq+qcb4jCMHHco6hBv/v0mW85uoW3FtrzZ4k1KFyyd/QJTkmD7AljxvjVgYvV20PUzKFI2Sw+PTUjmly0n+Xb9MbYcu0B+by86BpbhsZDK3FG9FF5m9FwjE6Kad04TBAcHa1hYmLvDMPIIVeXkxZNsPbuVrWe3si1iGzvO7aCQTyFea/Ya91W7L/vXTyTEWuc71k2DmJNQpgHc9QbU7gxZKFNVmbv2CO/9sZu4xBRqlSnMYyGVeahxBdNN17iOiGxI73o+c17BMJxs7/m9/LT/J5YfW87RmKMA+Hr7Uq9UPXrV60Xver3x9/PPXuGpqbDlG1j6NsSeYQDLNQAAIABJREFUgtvaWmNe/X97Zx4nZ1Xl/e+prffuLN1Nks6edBICIYEEAkSWYRHBBQVFhBcQZRh5hRkc5RXU0Y+Coo6OgooKjDijo+DIMCgwIrKIAyIJkSSGhJCEQDqddDq9prt6qeW8f5xb6UqbjU5qeZL7/Xwq9ezPr29O3XPXcxvffsBzPlp3DvBP//0XfrN6G2fMquPGcxpZMGmUnxB4GJJKpmle18nrK3cQjghL3t94yN/hnYjHc4hY07aGH678IU+++STRUJTF4xdz+dGXs6B+AY2jGw9+1NWm5+DxW2DrCmhYBB/8CUw66YBv376zn7ue3sDPX3yTVFr57AVH89G3TfNNVocZA/EEb6xu4/UVO3jzL20M9qeIREPMWHgQzab7wDsRj+cgWdO2hrtevotnmp6hKlrFdfOv4/KjL6em5BBMwksl4dVH4cV7YNMfoHoiXHSvdZofYM1DVXlw+Ra+9OvVxAdTXHRCAx87YwbT63yEoMOF5GCKDX9u5dUXtrLl1U7SaaWsKsqMhfVMObqGuvRWQomOnLzbOxGPZ4TEE3G+9/L3+Oman1IZreT6Bddz2dGXURU78OG0e6WnFV76sY242tkMNZPg3C/BiX8Lsf2v+JdIpVm2qYNn1m3n6bXbWdfSw0lTx/DVi+d55xFwEgMpOrb10rG1l/atvbRs2sn2Td0kBlJU15Yy/5xJTKwdoGzdC/Q+/kP6vr6SLYkEJbNnU/nwkkOuxzsRj2cErGhdwc3P3kxTTxOXzLqEGxfeeGicR+8OeO4OWHovJOIw4yx45zdh1nn7nWne0t3PU2u388yr23lufRs9A0kiIWHR1NHcftE8Prhokm+6CiA72/vZvKadzWvaadnYzc72/l3nQmFhbEMljSeMYUJ6MxUrHyH+zRfpbWujFyiZezRjr7qSsuOPp2z+/Jzo807E43kLdPZ38rO1P+PulXdzVPlR3HfefSwaN+Ig1EP0tsHzd1qzVbIPjn0/nP6pA4pxtaqpix8+u4HHVm0lrTC+ppR3zx/PGbPqWTJzLFV+5cBAMRBPsGVd5y7H0bW9D4Dy6hgTZo1i7tvGM+qociqT7UQ2rCT+1M/o/fmfSCcSxGtrqXzbEspPPJGKU08lOmFCzvV6J+Lx7INEOsEfm//Iuo51rN6xmt83/Z5EOsH5087ncyd/jurYQUzESw7C+t/Byvvh1d9AatD6Os74NNTN2u/tf9nSxbeeWMeTa7dTVRLhmtOmc/EJE5l1VKUfaRUgUsk0La93sXlNB5vXtLN9UzeqECkJ09A4imNPb2B8PZS1rKN/5W/p+99V9K9aRUdvLwDRyZMZc8UVVJ1zDmUL5iMHsTbMSPBOxOPZA4lUgoc3PMy9q+5lS88WAMZXjOeS2ZfwvpnvY/aYtx4FdxdtG+DFu2HVf0K8DcprYdHVsPBqqN935N6BZIqH/9zML5ZtZtkbHVSXRrjpvNlcecoUX+MICD0d/Wxd38XWjV20vtHNjs09JBNpRKB+ajXHnz2B+kg7lS2rSfxlJX3/uYr2lha7ORKhdPZsqt/zbsrmHUfZgvnEpk0raKHBOxGPJ4tEKsFD6x/i3lX3srV3K/Nq5/HpEz/NieNOPLgFoeLtsOEpWP0QrH3U1jGf805bGGrGWftd11xVeeKVFr782BreaIszo66CW86fw6UnTaamzDuPYkVV6drex5Z1HTS/1snW9V27+jQisRC19VEap6YYk2ph1I5XSP/vCgZ+vIFBVdqxWkb5iSdSdtw8SufNo3TuXEIlJYX9o4bhnYjH41i6bSm3vXAbG7s2clzdcXz+lM+zZMKSkZXyVG1I7ur/hs0vwvbVoGmrdZz2SVj8d1C573H727r6+d2aFp5bv4OlmzrY0TNAY30l//aRkzi9sdY3WRUhqkrHtjjN6zrY8lonzes6iXcPAlAaS1Mb62ZK6E2qmldSsmE5ocRQXNlEXR0lc4+m6rx3UDb/OEqPPZbI6NGF+lMOGO9EPEckqXSK9Z3rWb59Oa+0vcK6jnW80vYKDZUNfOes73DGxDPeeiadTkHzy7DxaWuqal0LsUqYeKL1c8w8ByYcv89RVt39CR5ZsZVfvrSZ5W92AtAwqozTGmtZMrOWCxdMIOrDsBcUVaW3c4CObXE6W+L0dg3QtzNBx+ZO2prjDCbsulL6GN3zOpOaVzC6Yx1lfduRSITY5MnEpk+j5PSr7Hv6dGLTphGuOgSj+wqAdyKew5p4Is6ylmX8aeuf2NKzhdZ4Ky3xFtr62khqEoAxpWNoHN3IDcffwBVzr6AsUnZgD1e1/o2NT8PGZ6zm0d9l5xoWwoV3wbEXWVTdfZBMpVm7bScPLN3Mg8ubiA+maKyv5KbzZvP2uUcxs953lBeCVDJNe3MvnS1xOpq6aNvYSmdLnO4eIZnOcuSaJpaMUxrfTm3vFqq732B07yaqxkQpmzWLkpOOo2TW+ylpnEls8mQkeng1P3on4jmsUFU2dm3k2aZnea75OZa3LCeRTlASLmFS1STqyupYPH4x9eX1TK+ZzsKjFjK+YvyBZdKqFim3aSm8/qw5jm7rdKdmMsy90GJZTTsDKvYeG0tVaero4/HV23jilRZWNHXSn0gTC4d49/wJXHnKFI6bWOMdRx7QRILB7Tvo2rSdrs1tdDT30Nk2SHuX0JGoIi0ui9Q0pQMdlMdbGBdvoWJgB1WRPqrKklTUVRCbOJ6SGdMpPeZdxKZPJzzqyIlF5p2IJ/AkUgmWtizl2aZn+f3m39PU0wTAzFEzuWzOZZzacCoLj1pISfgtdkj2dcCWl6BpmX22vAR97XaudBRMPwOmf8ocx+hpe42e2947yIqmTlY1dbGyqZMVTV207rS28DnjqrjspCnMm1jNaY111FYWV6dpEFFV0j09pDo6SLa2kmxtJd68g86tO+luH2Rnd5qegQjxVCnxSA0DpaNRyTQxVhJODVA5sJ0pkS3U1qSoGSXU1JVR3jidkpmLiNTVE6ooP2KcxP7wTsQTCFLpFB0DHbT1tdHW30ZbXxvb49tZ3baa55ufpzfRS0m4hMXjF3P1sVdz+sTTGVdxYGtqAJDoh9Y1Q86iaSm0rXcnBermwJwLLPDhxEVQP3ePfRs7+xOs2tLFyqYuVjV1saKpk6YOmywmAtNrKzhtZi3HTazhzNn1TK2tOASpc3iiqmg8TrKtjeSOHaS6ukj39JLu7TEn0dVFqrOTwY5u4l199PUk6e9T+hIR+mKj6Surpa+0jr6yWpLRrEl3YYiV91MRHaS+XKmq6ae6voKaCTWMnl7HqGnjCJX4cPgHincinqIilU6xqXsTr7S9wtr2tbzW8RobOjfQ2teK8tdr39SX13P+tPM5c+KZnDT+pL33ZwzshM7N1vzUtRm6moY+HW+4Zin3/Io66wyf/yFzGBNOgNLdJxWqKh29g7R097Otq59lb7Tz9NpW1myziWIAk8aUMX/iKK44eQrHTRzFsQ3Vh+VcDk0kSA8MooMD6MAA6f5+dHAQ7e8nHY/bp7fXPnvYTrn9VDxOKj7IYH+KxGCaREJJhkpIxKoYjFYyGKsiEa1mMFbJYLSKREkDg7E5JMNlUIF9HIJSUaZUjwrTUFfOqIk1jJo4mpr6CqprS4mV+qzvUBH4lBSRdwB3AGHgXlX9aoElefaBqtKT6KFzoJPugW66Brpoibewpn0Na9rW8GrHq/QlreReEi5hes10Fo9fzPjK8YwtHUttWS1jy8YytnQs9eX1lEfLra+irwPaXrc1Nnq2Q3cztG+Ato1Wo+jdvruQUASqJkDNRJi6BMZMh9pGaFhEX3kDLTsH2NbdT0t3Py1NrWzraqJlZz8tXf1s6+5ne/cAg6n0rseFQ8LCKaO58exZzJ9Uw3ETRzEmD4s7aTqNJpOWaQ8OoonEvr+HHUsPDoL7HromYdv9faR746T7+twnjsb7SMfjpPr6SA0kSCaUNGFS4RjpUJRUKEY6HCUtEdKhCMlIGclIOYloOclIOclIGalwKanYaFLRBlKRUpLhElIVMZKVUZR9jzwrKQtRXhmlorqEslGllFfFKKuKUl4do6zKPuXVMarGlBDyo9jyQqBXNhSRMLAOOBdoApYCH1LVV/Z0vV/Z8NCjqgykBuhN9BJPxOlN9tLe176rySnzvaNvBy3xFpp7mulP9f/Vc8oj5cwZPZu5NdM4unISR5cdxbRIFZGBneYg+jrddwf0Z233tkFPC6QTf/XMgdI6eiom01E2mR2xSbSGj6JFammROnZQQ19SGEimGEimGUwk6ekdYEdXnHjfAGFNE06niWiKUDpNRQTGlUeoK49QWx6hrjTM2LIwY0vDjC4J0VAVpTwEmkxAMmkZe8J9J12mvFuGPnx/cLeMPZ1Ikh5MkkqmSSeSpBIp0sk0qVSadCJNKqWkU2k0raiESUsYDUVQCdm2hNGQOy4Rtx2y4xImHXLHJUw6lH08AuGoOYJoCelICalwKelwjFQoSkqipIiQIozy1voEYiUhYmURomURYqURYqVhoqURYiX2HS0NEysNE8tsl9h3WVXUHERl1DuGAnE4r2x4ErBeVTcCiMj9wIXAHp3ISGlt3sxjX/s+AIoiu348Cgi7++HdnbICosPPDt0vw36Ie3TqmrlHd92V/ZR93rsbQ89As7aznqS7vjVr2/5RlDTKICkSpEm5/eFKsvdEhVoVxlHN8dQQ0znEFKLpNBFVouk00XSKkrQiqqDtKB28qcImFaxhQlANoQhpSknRQFonkSZEWsVKwoRQQqSzriUrde17gHLZwnS2MMOlgTj9AqgMvY/MtshQZikh918hKCEGga0iNCOs3nWduPNZ3wASRYmBVFhp22XclpkPfdISQqNhiAL7j/h+UIhAOCKEQkIoEiIUDhEKi/uEiMRClMTCRErCRKIhoiVhIrEw0ViYSCxEJOs7umvfrg1FQoQjQqw0QklFhJKyiHcAhylBdyINwOas/SZgcfYFInItcC3A5MmTR/SSHU1v0jNwzgglHn5EeAuG4/JVgDTQ7z4HhKYBdU5YyXZxAgy55GHfMuTIRBQRcxKhTB7vdMkuX2Hnd22L2HbIvkMiiAuhLqEQEnLXhTLXuvOhkB0LibvO7Yczx8NIJGSjekQIZ2XYoWHb4cheju/lersn63hoL8ezrvejizyHgqA7kT39CnavF6jeDdwN1pw1kpdMPWYBJ3/g2ay3hnaVccXlWJIZIigus9olxp13I3kEdkXZFJeTWZ4yVEoLuR93KBQik+sJIbJyOsvIGMoIdt2fneHZi93zhz0T7Dp3X4iQyzBDhEORoYwx834J7TaEdVdGmzmWpT+Tke7aJzSkM3NZJEIoFNp99nVWuvkMzuMJBkF3Ik3ApKz9iUDzoX5JWUUFC88+/1A/1uPxeAJP0BsplwKNIjJNRGLApcCvCqzJ4/F4jhgCXRNR1aSIXA88jg3x/ZGqri6wLI/H4zliCLQTAVDVx4DHCq3D4/F4jkSC3pzl8Xg8ngLinYjH4/F4Rox3Ih6Px+MZMYEOe/JWEZFWoBPoGuEjaoEdI7iv5iDeeTD3jlTvwb53pPcGTS8URnPQ9B7svf53l9t7D0TvFFWt2+MZVT2iPsDdB3HvsgK8M+96C6U5aHoLpTloegulOWh6C6X5YPSq7i9k5uHJrwP2zkLoPdj3+jTO7XuDpvdg7y3EO30aHyBHVHPWwSIiy3QvkSyLEa839wRNc9D0QvA0H2l6j8SayMFwd6EFvEW83twTNM1B0wvB03xE6fU1EY/H4/GMGF8T8Xg8Hs+I8U7E4/F4PCPGOxGPx+PxjBjvRLIQkZJCaxgJEqAVnIKWxkHTm8HbRO4Iml7IrWbvRBwi8mXgP0XkfSJS744V7Q9RjPeKSI5X4j50BDCNg6bX20SOCZpeyL1mPzoLEJE7sFUR7wPOBSao6gcKq2rviMhZwB1YqIK1wBpVvVNEQqqaLqy6PRPANA6aXm8TOSZoeiFPmg9muvvh8AGiwNeAJVnH1gCXu+1woTXuQfM/Aje77UXA68Dxbl8KrS/oaRw0vd4mvN5Caj7imrNEpF5EPiciV4pIqaomgFnAlKzLPgV8GUBVU4XQmY2IVInIeLcdwbS+DqCqy4Dvuw/qrKOQBC2Ng6YXvE3kmqDphcJpPqKciIh8HHgaqACuAL7qTv0U+FLmOlV9FPiLiFydd5HDEJFbgOeBH4nIR1U1CWwA/jZzjap+HagSkfe5ewrWRhu0NA6aXvA2kWuCphcKq/mIcSIiEgXGAh9T1VuAvwMWishkVX0QaBWRz2bd8jwwUACpgJUuReTbwCnAEuDbwHtFZIaq3gnMEpH3Zt3yfeBkKFzJM4BpHDS93iZyTND0QhFoLnS7XY7bBBcAlwLT3f64TFuh+34UONttHwssB64GTgJeBC4ogOaqrO2TgLqs/d8B17jtS4FVwES3/3ngIz6NDy+93ia83mLXnNc/PM+JfB2wERux8mfgzGHnq4CXMz84d+w898NbDtyQZ71l2AiKp4DbgdFZ52Lu+2fAqVnHvwHcAzyMjcg5x6fxYaXX24TXW/Sa8/rH5zmhfwKc67b/FngCmOb2BRvB8mDW9fVZ29Gs7byMbAG+APwrMMZlAj8HSt25kPt+Bjg6WyfWaXYdUOHT+LDT623C6y16zYdNn4iILBCRCW5bgO3AaBERVb0HeBP4gIhE1VJwHPCaiJwmIn8E3ikiYXd9QkRCkNe25BiwSlXbgWuxjOMSEYmoalpEFgBtqrpGRM4Tkcuw0ugbqvp9Ve3NaM4VQUvjoOndA94mjnC9gdCcL++ZQ688DfgV8ALwEHC9O3478Emg2u0vBJYCY9z+PcAg8AjwvjxrbgS+B3wGmOeOfQbrEMvovQhbqWx01v5vgf/AqrCn+zQ+PPR6m/B6g6w5sDUREQmJSB3WLvi8qp6MVfPmisgk4JfAWcAcESlR1ZeArcBV7hEvAV9S1Xep6kN51P0JLCPYCNQDN4rIDKyt8mysFIGq/hfWtpmZXToHOAd4RlWPV9Vn86A1UGkcNL1Zur1NeL3B1ZxPz3qIvfS/A6cBR+NGrwCjgT8Bs93+bcDXGWo/vBPXCUVWeyCufTnHes8GZgA34DpCsXAEPwIWu/1/w2YeT3X712DGADAJqMmz5qClcdD0epvwegOvOXA1EREJu83fAh9V1TWqulNEYkA30IqNagH4JvAq8GkReQ44ERuxgroUdtv5iC20BLhJVb8DLHftl01YKXOiu+ZbwFTgiyJyAZa5LHUaN6tqV+bvz6Vm1+4KAUnjoOnNIhA2IbtHgC36NA6aXqc5O2hmIDTvIh+e9RB45nHAe4CxWcemYNP3J2cdm41V/4bfPxc4Lc+ay4btV2OzRye5fQHKgcdwpQt3fDzwCeBB4Oo86h3j0nNU1rHJxZrGQdPr3jkWmBkgm5iIrb99UxDSOGh63TvHYc1TTwZF8/BP0ddERORLwG+wqfz/KiLvdqfKgErMQ2c4FnjS3XeLiFwLoKqvqOof3PGc/81is0MfFZHPiMgsd3gUVlKodJoUyxyiqvqqGz2xQFW3quq3VPViVb3PPS8fISvOB24BznIlH4BSijSNg6ZXRD4HPM7ucYwqKVKbEJFjsKGjW7HmtQwlFGEaB02ve8c/YQWGBLBdRDK2UbSa90RROxGxEA6TsLa+D2Cdj5cBqOpaoAF4Z9Yt44FLReQPWHvig8Ofqbmtks4SkSexoGc3A7VYRoeqvol1hI7LumUy0CYi52KhCM50GUfIPU/cvUqOyMqMypyGS3AZnaquw0p3xZTGQdM7SUReAE7HZhA/mfXeZorQJhynAg+p6hdUtU0stAaq+hr2myyaNA6iXhH5B2AC1i/2KSzm1c4szUWVt+2LonMiIjJDRKa53T8CX1fVTrffhZU0MtwFnJaVsZwPxIEbVfVKZ0w5L8VnlQCSWDjuq1T1RWAb8ERWP84TWMdohiVYJngdVgX/tqqmMsaQq4zCpXEm4828oxz4B6AfuCDr8u8CpxcyjYOm12nO2EQEcwYPqfVfzBGRKSJS5c4XnU044sBOETlBRH4DfEtEbnLn7qSIbCIIerM0Z/K2H6jqdaraoapbgJnAmVmXF0XediBECi0AdpWuYlg19BigRUR+DDyqNpEqohaptAwrqWXoAN7ASvytwBVqE7PyVYqvBf4fZrz3qupGYKPrJLvJfe7HQg5chY35nici0921LwP/qKrfzmjOYSaxtzR+3KVZA5a2nwIeEpGzsR/fDgqQxkHTm6V7uE28LiKPAleJyOXYb+5VrPZxHsVpE/+NFTAbsHkq92FRgu8VkZVAEzbBrVhsoij17kPzfVjT5oBYyPZ+bK7PrKxb2ymgHb8ViqIm4hJjBrZIygJsfPRC7McIkKmmnYyV3DI0AYuxiTVgNRXEVnPTHGcWozFDEKAO+IKIXOpOh7AJQlWqeg0wTkRuB/qAMEPV1keyMotQLvXuI40/6S5pweYpXIJ11jViJeht2MiPvKZx0PS6dwy3iS+KyHtdE9Z64DksAu+1drnchtWkiskmTgT+HuvsbQSmA79SW6PkfuAjWGvAIorDJopW7z40L8KGbeMcCFgfSPYIrXYKZMdvlYI7ERG5Ryxcw0TM64J1IP0CmC8iS9RCPIQwZ/KIiLxHRB7DfnjtWFUPdYusaG7buN8mIouwjvJXVfUmrP/jf4DLRGSqqvao6uNZ/9E/xMbz92MGdeHw5+ZY8/7SeA5Qg816Pgt4F5auZ6jqNsyA85nGQdO7N5t4DPioWMiK21X10+73P4CNIqpW1T6Kyybux/pvpgLfwUrBZ7rzW4F1rkRcLDZRlHr3o/kXwAIRWZJ1+RPABzM7an2o3fnWPCK0AEPC2H0yzNuxduxKbDLNKe54Ndbm/R23H8VKny9iUU3Pd8dL8qz9GiwQXhVWEs6E3a4DvgJ8ddj10zEDudrtHw+clAed5QeYxp/AIr9Ws3s02CuBBflMY4aCCgZC71uwidv3YBNPAlfl0ybcuyIHmMbfdPsfxCa/PYaFmV+UZ5sIlN63YMe78jZ3bIrTvCDrWCyfdjzST15rIiJSLiI3Y9W0DM1YiaEMeACr6qOq3VjbsYpIJdaeuB24S1XPUtX/cfcPkkOc5suzDj3sNFc6vTe6421YDP9aEZkgtlTlN7A274fUDc1U1T+rdbrnUu+/AP+VdXgre0/jtdiQQlHV52UoONu/q+rLbjtni+44vdeIyDE6VMpqKVa9TnPYfWc6NvdnE3Ui0iAi1SJyKzbK8EFV/TenNx828a6svkWwZr+9pfEaoEREylX1AaxW9Q1VnafWTJQPm3iPiMSCoNdpLhGRUveujB3vL29Li8god20S+OeMDbvrcpq3HSry5kRE5DrgD9hwu5VZp3qA+ZgzeADrP8gs89mMTbjpcYl7oqr+2D0vH9Ez/w6bHXyra0IByyjSgGIZ9TwROcUZTidWbe3GMpA/YeEr7nLPy/WIlY8Bz2Lp2eKaUcCa/faWxluwknMX5Le6LCIfxmziHOArYjGkilav03wd8LCIXIS1wYM1Yx2ITfRicY1OyqNNfBgb5Xg18GURudKdirPv312DqsbBhiKr6lPuebme7/EBLI2uB+4odr3uHddhNnu5DI3EhAPL2zqd5i2q+nSuteaEfFR3gLdhweSu28v5u4FPuu2/wbz0zZgxfQ0b3RDWrKpijvXOw5obHsA6bn+Em1Xszv8cuMxt/z3maCqxMd+/JSt+fx41X4NF+pyBzeZexu6zuX+wnzSOQv7WRMj6fz/Hbf8f4BNZ5+4pQr23Yh3n5wP/l91nGT9QbDbh3nMvsMRtn4KN+BmXdW6faZzP9HU6bsetxogVLt7EHESx6p2BhSD5rssXpgw7v9/fXb41H/I0yHHifgF4L3CU2/4wtjzjV4GPYh2hYMHGvgxUuv2FwMeAD+bZIMrc93zgHVnHV2YyCLd/JhYYT9z+HVj4ig3kcalMrCT8FeBi/jrMylO4ZVPd/pJCp7GziX/CotBOwEawnYtNnnoJCyr3riKzicwiUNVYW/tkt18CvAZ80e2fU0Q2cStwOTaMeB1DIcLrnZ6fF0saY+HOM/lBA7YI1xlZ5+8EHikWvVl2/Hng/Vg/WKYP7AFsyHks69qC/+5y/clJVU9sOv+vsSr+Z7BMYw2W2f0Sq5pOAf5ZbGGddiAF9Ltx8S+p6g/U2jfzUeUPi8i3gadcO+wKVf2NiGTm0fw7NiwvQyuWgUwEUNV/AD6uqjNU9bFcas3SfAxWwo0DHwc+KyInuHMlmBMpy0q7MFatLlQaZ2wCbOj227H+gvOw5pZHsNFWd4vIqVj/V7qAeofbRDfWIX61u6QUG1J8nYjUY/awgeKwiQGs/f3d2P/5HSIyD6ut3gec7PZ7sJAbhUrjr2LNfzuxPOJibBj8tVmX3Yg1D56ANQ0mC6XXvSNjx4rNA/u40wzwL1gtdW5Ws1aMAv7u8sEhdyIiUoGV0j6gqrdiVfv3YfGv7sFG1HxJVT+PZSIfwsbQn4VVWzXrWfmaVHM9ViJqxUoYiEhYhzr1Uth4/gzd2NyE7oxOdW30+WiDdSzGOmdvwyZYdWFtsmVqnYijgLlZafdnrNSf9zTei01cgTUD3Ad8TS1cxYPYyKubsFFOf1MIvY6MTezASvZgGcbFIvIdrC/nV1ih6GIsQz6a4rKJKNZHtgXLjI/B0vd+rCb4GlaDKlQa7wAuVNUvY2HNZ2D/9+eKDZlGrV8pExp9PdY8WBC9e7DjG7BoCX3u/X/CRoRdqW5ILkO17YkFSuOckwvjjgN3qOpqsdDWL2DeeDxWLW3KurYcWOEyvWdxY6Iz5DGB78WqmDcBF4rITFVNiYu/g2XAmYmEqOpmrLR3w3Cdmr+O3o3AYpfGrwH/i2UaF7nzPwFOFZFqp2sn8HsKk8bDbeKPTutRWPNLtqZe4EVVTRRQL+yfZvt+AAAE1klEQVRuExeIyGxVXYHN5/gVcK1zeu1Aq6q2YaX6YrGJtVgzbB+wVFU/qqqXq81VanSaeyjg705Vv6Gqb4rNl/hXLI7Y32DNgreJLcwE1mT0ptqcmkLmE8Pt+EWsRjIt65rPArNF5GYReRprUvwd8I4Cac49B9MWdiAfLIGX4ZZy1KE2xR9izQHHu2PludZygHq/AvzMbYew2celWMZxetZ1x1DAEMxYBvx94HK3X4XFW/o0lkHPw5oKjsu6p1jSeBrWB1Lh9l8Dvo21Kb/EUF9Zsej9CkP9CNlznCqwZrizA2AT5Vhz3P1Yq0CmHb/gaYwNXrnG2cWd2Gzu/3B/y/9gzjAz36PgerN0/1Xe5o5vAV5naG5Y0WjOxScf1ey5WG0jU80/AatSN6vqqar6ZwB1w/OKgDuBRhF5u6qm1axgDFYK2ZG5SFVXqwvBXCBasYmXZ4lIg1pNow9zyglsfPovVHXXcOoiSuO5wMuq2uv2r8RGwy1T1YWq+nsoKr13AjOdTaiIVInIVcArwHJ1kXmL2CbmYf1LVwPrVfUd6loEiiGNVfUXqnqvqr6O1ajnYU2edwD/parH6dB8j4LrzWJX3ibGFBH5CPAfqjpNh+aGFZPmQ07OAjC6NmHFSkevicg7sNE3twAf1qz2Yi2iqfyquk1skuAnRaQGqFXV74vINWrV/6JALRTMI9hiNf+MhcgPAZ2uI3gHVuosGvZiE7cCt6nqw7iO9yK3iWqsv2kTNgdoG+Q2UOKBsg+b6FXVfhG5Vd0EtmJL4ywqsI7oLrUmwrVQXHr3YMfnYXnbF4GfZqVxWIf6Rg5bJNd2LyK/Bs7A2gXvUtXfueMF/9HtDddG+wfMgD+i1q9TlJrdSKxfYpnFTODSTO2uWBlmE9/TrDU2ipUsm1iHRVRd6o4XTeaWYQ828SFVXe7OFaMNl2OhX76ANR3fmNFbzATRjnNBPpzIzcBOVf2e2y86I87GdeY9hPWL3FVoPQeCyzTqdPdBC0WLt4ncEySbcMNhL8PmOt1daD0HStDsOFfk3Ins9rIiLLXtiexqaFA0Z/B6c4O3ifwRNL0QTM2Hirw4kSB66CBqDhJBTN8gavbkFm8Tea6JeDwej+fwouCLUnk8Ho8nuHgn4vF4PJ4R452Ix+PxeEaMdyIeTw4RkZSIvCwiq0VkhYj84/4CMorIVLG1uT2eosc7EY8nt/Sp6gJVPQaL5noBNqluX0zF5k14PEWPH53l8eQQEelR1cqs/enYqoe12Jo6P8FCfQBcr7Zu/AtYWPnXsYi2D+3pujz9CR7PPvFOxOPJIcOdiDvWgYU93wmkXVyrRixS8CIRORP4lKq+y11fvqfr8vuXeDx7JmcBGD0ez17JrGYXBb4rtrpnCpi1l+sP9DqPJ+94J+Lx5BHXnJXClv/9AtACzMf6J/v3ctsnDvA6jyfv+I51jydPuECOPwC+60Jl1ABbXcylK4DMutw7sQWlMuztOo+n4Pg+EY8nh4hIClt3OwoksQ7yf3FrfzQCD2ILnj0N3KCqlW5Z5t9gne8/xlZP/Kvr8v23eDx7wjsRj8fj8YwY35zl8Xg8nhHjnYjH4/F4Rox3Ih6Px+MZMd6JeDwej2fEeCfi8Xg8nhHjnYjH4/F4Rox3Ih6Px+MZMf8f2+RMHBQZTEAAAAAASUVORK5CYII=\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots() \n",
"ax.plot(covid_regioes.index, covid_regioes['obitos_Norte'], label = 'Norte') \n",
"ax.plot(covid_regioes.index, covid_regioes['obitos_Nordeste'], label = 'Nordeste') \n",
"ax.plot(covid_regioes.index, covid_regioes['obitos_Sudeste'], label = 'Sudeste') \n",
"ax.plot(covid_regioes.index, covid_regioes['obitos_Sul'], label = 'Sul') \n",
"ax.plot(covid_regioes.index, covid_regioes['obitos_Centro-Oeste'], label = 'Centro-Oeste') \n",
"ax.set_xlabel('Data') # Rótulo do eixo x\n",
"ax.set_ylabel('Total de Óbitos') # Rótulo do eixo y\n",
"ax.set_title(\"Óbitos de COVID-19 nas regiões do Brasil\")\n",
"ax.legend()\n",
"ax.xaxis.set_minor_locator(mdates.DayLocator(interval=7)) #Intervalo entre os tracinhos\n",
"ax.xaxis.set_major_locator(mdates.DayLocator(interval=21)) #Intervalo entre as datas\n",
"ax.xaxis.set_major_formatter(mdates.DateFormatter('%d/%m/%Y')) #Formato da data\n",
"fig.autofmt_xdate()\n",
"ax.yaxis.set_major_formatter(FuncFormatter(inserir_mil))"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Gráfico de Colunas e de Linhas"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Óbitos de COVID-19 nas regiões do Brasil até o dia 18/07/2020')"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"covid_Regioes = covid_BR[['regiao','obitosNovos']].groupby('regiao').sum().query('regiao != \"Brasil\"')/2\n",
"fig, ax = plt.subplots()\n",
"ax.bar(covid_Regioes.index, covid_Regioes['obitosNovos'])\n",
"ax.yaxis.set_major_formatter(FuncFormatter(inserir_mil))\n",
"ax.set_ylabel('Total de Óbitos') # Rótulo do eixo y\n",
"ax.set_title(\"Óbitos de COVID-19 nas regiões do Brasil até o dia 18/07/2020\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Podemos inserir o total de cada região em cima do retângulo correspondente. Para tanto, utilizaremos a seguinte função disponível na página do *matplotlib*:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"def autolabel(rects):\n",
" \"\"\"Attach a text label above each bar in *rects*, displaying its height.\"\"\"\n",
" for rect in rects:\n",
" height = rect.get_height()\n",
" #ax.annotate('{}'.format(height), #antigo\n",
" ax.annotate('{:.0f}'.format(height), #Modificamos para apresentar o número inteiro \n",
" xy=(rect.get_x() + rect.get_width() / 2, height),\n",
" xytext=(0, 3), # 3 points vertical offset\n",
" textcoords=\"offset points\",\n",
" ha='center', va='bottom')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"covid_Regioes = covid_BR[['regiao','obitosNovos']].groupby('regiao').sum().query('regiao != \"Brasil\"')/2\n",
"fig, ax = plt.subplots()\n",
"plt.ylim(0, 40000) # aumentamos o limite da coordenada y\n",
"retangulos = ax.bar(covid_Regioes.index, covid_Regioes['obitosNovos'])\n",
"ax.yaxis.set_major_formatter(FuncFormatter(inserir_mil))\n",
"ax.set_ylabel('Total de Óbitos') # Rótulo do eixo y\n",
"ax.set_title(\"Óbitos de COVID-19 nas regiões do Brasil até o dia 18/07/2020\")\n",
"autolabel(retangulos)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"* Para realizarmos os \"plots\" agrupados das barras devemos realizar 5 \"plots\" distintos, um para cada barra.\n",
"\n",
"* Cada plot sofrerá uma translação (exceto o do meio).\n",
"\n",
"* Iremos reduzir a largura de cada barra."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"covid_Regioes = covid_BR[['regiao','obitosNovos']].groupby('regiao').sum().query('regiao != \"Brasil\"')/2\n",
"largura = 0.3"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"retangulo1 = ax.bar([-2*largura], covid_Regioes.loc[['Norte'],['obitosNovos']].to_numpy()[0], largura, label='Norte')\n",
"retangulo2 = ax.bar([-largura], covid_Regioes.loc[['Nordeste'],['obitosNovos']].to_numpy()[0], largura, label='Nordeste')\n",
"retangulo3 = ax.bar([0], covid_Regioes.loc[['Centro-Oeste'],['obitosNovos']].to_numpy()[0], largura, label='Centro-Oeste')\n",
"retangulo4 = ax.bar([largura], covid_Regioes.loc[['Sudeste'],['obitosNovos']].to_numpy()[0], largura, label='Sudeste')\n",
"retangulo5 = ax.bar([2*largura], covid_Regioes.loc[['Sul'],['obitosNovos']].to_numpy()[0], largura, label='Sul')\n",
"ax.yaxis.set_major_formatter(FuncFormatter(inserir_mil))\n",
"ax.set_ylabel('Total de Óbitos') # Rótulo do eixo y\n",
"ax.set_title(\"Óbitos de COVID-19 nas regiões do Brasil até o dia 18/07/2020\")\n",
"autolabel(retangulo1); autolabel(retangulo2); autolabel(retangulo3); autolabel(retangulo4); autolabel(retangulo5)\n",
"plt.ylim(0, 40000) # aumentamos o limite da coordenada y\n",
"plt.xlim(-1, 1.3) # Limites que iremos utilizar na coordenada y\n",
"plt.xticks([], []) # Remover os \"ticks\" no eixo x\n",
"#plt.xticks([0], ['Região']) # Se quisermos incluir o rótulo \"Região\" na posição 0 do eixo x\n",
"ax.legend(title=\"Região\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Para empilharmos as barras manualmente devemos utilizar o argumento **bottom**:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"largura = 0.25\n",
"obitos_norte = covid_Regioes.loc[['Norte'],['obitosNovos']].to_numpy()[0]\n",
"obitos_nordeste = covid_Regioes.loc[['Nordeste'],['obitosNovos']].to_numpy()[0]\n",
"obitos_centro_oeste = covid_Regioes.loc[['Centro-Oeste'],['obitosNovos']].to_numpy()[0]\n",
"obitos_sudeste = covid_Regioes.loc[['Sudeste'],['obitosNovos']].to_numpy()[0]\n",
"obitos_sul = covid_Regioes.loc[['Sul'],['obitosNovos']].to_numpy()[0]"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
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