{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Visualização gráfica de dados\n", "\n", "## Intercalando *matplotlib* e *pandas*" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "As *Series* e os *DataFrames* possuem um método `plot` de visualização gráfica construído com base no *matplotlib* que contempla diversos tipos de gráficos, incluindo gráficos estatísticos.\n", "\n", "Ao utilizar o método `plot` em uma *Series* ou *DataFrame*, não haverá necessidade de importar o `matplotlib.pyplot`, uma vez que as funções e métodos utilizados já foram importados pelo *pandas*." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Primeiramente veremos construções gráficas com base no método `plot`. Vamos começar importando e construindo os *DataFrames* a serem utilizados." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "slideshow": { "slide_type": "-" } }, "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": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Idade Peso Altura\n", "Ana 20 55 162\n", "João 19 80 178\n", "Maria 21 62 162\n", "Pedro 22 67 165\n", "Túlio 20 73 171" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_dict_series = pd.DataFrame(dicionario_series_exemplo);df_dict_series" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " coluna_1 coluna_2\n", "2020-01-01 -0.416092 1.810364\n", "2020-01-02 -0.137970 2.578520\n", "2020-01-03 0.575827 0.060866\n", "2020-01-04 -0.017367 1.299587\n", "2020-01-05 1.384279 -0.381732\n", "2020-01-06 0.549706 -1.308789\n", "2020-01-07 -0.282296 -1.688979\n", "2020-01-08 -0.989730 -0.028121\n", "2020-01-09 0.275582 -0.177659\n", "2020-01-10 0.685132 0.502535" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_exemplo = pd.read_csv('data/exemplo_data.csv', index_col=0);df_exemplo" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " coluna_1 coluna_2 coluna_3\n", "2020-01-01 -0.416092 1.810364 1.0\n", "2020-01-02 -0.137970 2.578520 2.0\n", "2020-01-03 0.575827 0.060866 3.0\n", "2020-01-04 -0.017367 1.299587 4.0\n", "2020-01-05 1.384279 -0.381732 5.0\n", "2020-01-06 0.549706 -1.308789 6.0\n", "2020-01-07 -0.282296 -1.688979 7.0\n", "2020-01-08 -0.989730 -0.028121 8.0\n", "2020-01-09 0.275582 -0.177659 NaN\n", "2020-01-10 0.685132 0.502535 NaN" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_exemplo['coluna_3'] = pd.Series([1,2,3,4,5,6,7,8,np.nan,np.nan],index=df_exemplo.index);df_exemplo" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "covid_PB = pd.read_csv('https://superset.plataformatarget.com.br/superset/explore_json/?form_data=%7B%22slice_id%22%3A1550%7D&csv=true', \n", " sep=',', index_col=0)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " casosAcumulados casosNovos descartados recuperados \\\n", "data \n", "2021-02-09 199706 971 237369 152779 \n", "2021-02-08 198735 611 237189 151879 \n", "2021-02-07 198124 664 237072 151535 \n", "2021-02-06 197460 918 236774 150175 \n", "2021-02-05 196542 1060 236216 150169 \n", "\n", " obitosAcumulados obitosNovos Letalidade \n", "data \n", "2021-02-09 4171 13 0.0209 \n", "2021-02-08 4158 12 0.0209 \n", "2021-02-07 4146 11 0.0209 \n", "2021-02-06 4135 12 0.0209 \n", "2021-02-05 4123 13 0.0210 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "covid_PB.head()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "covid_BR = pd.read_excel(\"data/HIST_PAINEL_COVIDBR_18jul2020.xlsx\")" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Unnamed: 0regiaoestadomunicipiocodufcodmuncodRegiaoSaudenomeRegiaoSaudedatasemanaEpipopulacaoTCU2019casosAcumuladocasosNovosobitosAcumuladoobitosNovosRecuperadosnovosemAcompanhamentoNovosinterior/metropolitana
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44BrasilNaNNaN76NaNNaNNaN2020-02-2992101471252100NaNNaNNaN
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" ], "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.head()" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Gráfico de Linhas\n", "\n", " O gráfico de linhas é formado por pontos no plano a partir de duas variáveis e, em seguida, estes pontos são ligados por segmentos de retas. Este é o gráfico padrão construído pelo método `plot`. Para construí-lo basta \"chamar\" o método `plot` sem argumentos adicionais." ] }, { "cell_type": "code", "execution_count": 11, "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": [ "df_exemplo.plot();" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_PB_casos_obitos = covid_PB[['casosAcumulados', 'obitosAcumulados']].sort_index()\n", "covid_PB_casos_obitos.plot();" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "**Obs.**: Note que houve uma sobreposição dos valores no eixo *x*." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Se convertermos o *index* para data, isto será corrigido, pois se o tipo do dado for data, o pandas implementa o método `autofmt_xdate` que corrige a sobreposição:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "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", "covid_PB_casos_obitos.plot();" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/html": [ "
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obitos_Norteobitos_Nordesteobitos_Sudesteobitos_Sulobitos_Centro-Oeste
data
2020-02-250.00.00.00.00.0
2020-02-260.00.00.00.00.0
2020-02-270.00.00.00.00.0
2020-02-280.00.00.00.00.0
2020-02-290.00.00.00.00.0
..................
2020-07-1410628.023925.033718.02740.03122.0
2020-07-1510693.024272.034246.02870.03285.0
2020-07-1610790.024645.034857.02975.03421.0
2020-07-1710911.024902.035374.03104.03560.0
2020-07-1810972.025194.035732.03199.03675.0
\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": 14, "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", " 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": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "O argumento `figsize` permite inserir uma tupla para definir as dimensões horizontais e verticais, respectivamente, em polegadas." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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DLWtLX5NTd5nz9fW1YWFhF7Tt3r2bGjVqOJRIcgL9jIiIiOQNO4/vpOeKnpQrXI7A9oEUyVfkhscyxoRba30vbtfSDhERERHJVX47/RsDVg+gmFcxZrSecVNF9NVoaUcu0LlzZyIjIy9oGzduHO3atXMokYiIiIgzElMSeWnNS1hrmdlmJnd433HLPkuFdC4QEhLidAQRERGRbOHDLR/ya+yvzGw9k0pFK93Sz9LSDhERERHJFX74/QeCdgfRrUY3Hiz34C3/PBXSIiIiIpLjnUw8yes/vE6VYlV4qeFLt+UztbRDRERERHI0ay1v/fgWsUmxzGg9g/we+W/L52pGWkRERERytJD9Iaw5uIZBDQZl2e2/M0OF9G0QFRVF7dq1L/te79692bVrFwBjxozJ0s/9+uuvadCgAfXq1aNmzZrMnDnzuvr36NGD4ODg6/7cdevW8eOPP153PxEREZHrkZSaxFe/fsXYzWNpdGcj/lnrn7f187W0w2GzZ8/OeD5mzBhee+21LBk3OTmZPn36sHnzZsqXL09SUhJRUVFZMva1rFu3jkKFCvHgg7d+kb+IiIjkPQdPH+SzvZ8Rsj+EU0mnuLvo3bzb5F3czO2dI861hfS4zeP45c9fsnTM6iWqM7TR0GseN3HiRObOnQukzzh36tSJlJQUunfvztatW/Hx8WHBggV4e3vTvHlzJkyYQHBwMGfPnqV+/frUqlWLoKCgS8YZPHgw8fHxdO3alZiYGFJTUxk5ciRPPPHEJRni4uJISUmhZMmSAHh5eVGtWvqfOnr06EHHjh15/PHHAShUqBBnzpzBWsvAgQNZs2YNlStX5vy7XoaHh/PKK69w5swZSpUqRWBgIGXKlGHSpEnMmDEDDw8PatasydixY5kxYwbu7u4sXLiQyZMnU716dfr160d0dDQAH374IX5+fjfxPyEiIiJ5TUpaCutj1vPpnk/54dAPuBt3WlRoQddqXWlcpvFtL6IhFxfSTgkPD2fevHls2rQJay2NGzemWbNm7Nmzhzlz5uDn50fPnj2ZNm0aAQEBGf3Gjh3LlClTiIiIuOo4Bw4coGzZsixbtgyA2NjYy+YoUaIEjz76KBUrVqRVq1Z07NiRp556Cje3K/+QhYSEsGfPHrZv386RI0eoWbMmPXv2JDk5mYEDB7J06VJKly7N4sWLGTFiBHPnzmXs2LFERkbi5eXFqVOnKFasGP369aNQoUIZ5/f000/z8ssv06RJE6Kjo2nXrh27d+/Oqq9cREREcrGjCUf5Yt8XBO8N5kjCEe7wvoMB9QbQpWoX/lbwb45my7WFdGZmjm+FjRs30rlzZwoWLAhAly5d2LBhAxUqVMiYhe3WrRuTJk26oJDO7Djt27cnICCAoUOH0rFjR/z9/a84xuzZs9m+fTurVq1iwoQJrFy5ksDAwCsev379ep566inc3d0pW7YsLVu2BGDPnj3s2LGDNm3aAJCamkqZMmUAqFu3Ls888wydOnWiU6dOlx131apVGevAAU6fPk1cXByFCxe+YhYRERHJ26y1fLTlI+bvnE+KTeHBsg8yvNFwmlVohodb9ihhs0eKXOT85RDnM8Zc9XVmx/Hx8SE8PJxvvvmG4cOH07ZtW954440rjlOnTh3q1KnDs88+S+XKlQkMDMTDw4O0tLSMzzl37txVc1lrqVWrFqGhoZe8t2zZMtavX8+XX37JO++8w86dOy85Ji0tjdDQUAoUKHDVcxYRERGB9GUcb4e+zZL9S3jsnsd4vu7zVCxS0elYl9CuHVmsadOmLFmyhISEBOLj4wkJCcHf35/o6OiMQnTRokU0adLkkr6enp4kJydfdZxDhw7h7e1Nt27dCAgIYMuWLZfNcebMGdatW5fxOiIigooV038AK1WqRHh4OABLly694DM/+eQTUlNTOXz4MGvXrgWgWrVqHDt2LCN/cnIyO3fuJC0tjYMHD9KiRQvGjx/PqVOnOHPmDIULFyYuLi7js9u2bcuUKVMuyCIiIiJyOedSzzHk+yEs2b+EAfUG8I7fO9myiAbNSGe5hg0b0qNHDxo1agSkXyRYvHhxatSowfz58+nbty9Vq1alf//+l/Tt06cPdevWpWHDhgQFBV0yToMGDVixYgVDhgzBzc0NT09Ppk+fftkc1lrGjx9P3759KVCgAAULFsxY1vH888/z2GOP0ahRI1q1apWxfKRz586sWbOGOnXq4OPjQ7NmzQDIly8fwcHBDBo0iNjYWFJSUhg8eDA+Pj5069aN2NhYrLW8/PLLFCtWjEceeYTHH3+cpUuXMnnyZCZNmsQLL7xA3bp1SUlJoWnTpsyYMSOrv3oRERHJ4RKSExi8djChh0MZet9QutXs5nSkqzJXWkKQ3fn6+tqwsLAL2nbv3k2NGjUcSiQ5gX5GREREsqe4c3H0X9Wf7ce38/aDb9OpyuWvvXKCMSbcWut7cbtmpEVERETEUalpqQxdP5Sdx3cyodkE2lRs43SkTFEhnQt07tyZyMjIC9rGjRtHu3btHEokIiIiknkfbf2IDb9v4PXGr+eYIhpUSOcKISEhTkcQERERuSFf/foV83bM44lqT/BE9UtvMpedadcOEREREXHEtmPbeOvHt7jvzvscuwfIzVAhLSIiIiK33ZH4IwxeO5jS3qV5v9n7eLp5Oh3pumlph4iIiIjcVokpiby09iXik+OZ2WYmxfMXdzrSDVEhLSIiIiK3jbWWN398k10ndvFhiw+pWryq05FumJZ23AZRUVHUrl37su/17t2bXbt2ATBmzJgs/dyvv/6aBg0aUK9ePWrWrMnMmTNvOKeIiIhIVpi7Yy7fRH7DwAYDaXlXS6fj3BTNSDts9uzZGc/HjBnDa6+9liXjJicn06dPHzZv3kz58uVJSkoiKioqS8YWERERuRHrDq7joy0f0aFSB3rX6e10nJuWawvpP8aMIWn3L1k6pleN6tyZiUJ34sSJzJ07F0ifce7UqRMpKSl0796drVu34uPjw4IFC/D29qZ58+ZMmDCB4OBgzp49S/369alVqxZBQUGXjDN48GDi4+Pp2rUrMTExpKamMnLkSJ544tKtYuLi4khJSaFkyZLp2b28qFatGgA9evSgY8eOPP744wAUKlSIM2fOZMl3JCIiInI5+0/uZ+j6odQoWYO3/d7GGON0pJumpR1ZLDw8nHnz5rFp0yZ++uknZs2axcmTJ9mzZw99+vRh27ZtFClShGnTpl3Qb+zYsRQoUICIiAiCgoIuO87WrVv59ttvKVu2LP/73//YsWMH7du3v2yOEiVK8Oijj1KxYkWeeuopgoKCSEtLux1fgYiIiMgFTiWeYuCagRTwKMBHLT6igEcBpyNliVw7I52ZmeNbYePGjXTu3JmCBQsC0KVLFzZs2ECFChXw8/MDoFu3bkyaNImAgIDrHqd9+/YEBAQwdOhQOnbsiL+//xXHmD17Ntu3b2fVqlVMmDCBlStXEhgYmHUnKyIiInINCckJDFo7iCMJR5jXfh53FrzT6UhZRjPSWcxae9n2i/98ca0/Z1xpHB8fH8LDw6lTpw7Dhw9n1KhRVx2nTp06vPzyy6xcuZLPP/8cAA8Pj4zZaWst586du+oYIiIiIjciKTWJl9a+xP+O/Y9xTcdRr3Q9pyNlKRXSWaxp06YsWbKEhIQE4uPjCQkJwd/fn+joaEJDQwFYtGgRTZo0uaSvp6cnycnJVx3n0KFDeHt7061bNwICAtiyZctlc5w5c4Z169ZlvI6IiKBixYoAVKpUifDwcACWLl2a8ZkiIiIiWSU5LZmA7wP46fBPjHpwFG0qtnE6UpbLtUs7nNKwYUN69OhBo0aNgPSLBIsXL06NGjWYP38+ffv2pWrVqvTv3/+Svn369KFu3bo0bNiQoKCgS8Zp0KABK1asYMiQIbi5ueHp6cn06dMvm8Nay/jx4+nbty8FChSgYMGCGcs6nn/+eR577DEaNWpEq1atMpaPiIiIiGSF1LRURmwYwbqD6xjReASPVXnM6Ui3hLnSEoLsztfX14aFhV3Qtnv3bmrUqOFQIskJ9DMiIiJya1lreTv0bT7f9zmDGw6mV51eTke6acaYcGut78XtWtohIiIiIllm7o65fL7vc56v83yuKKKvRks7coHOnTsTGRl5Qdu4ceNo166dQ4lEREQkL9p0eBOTtk6iXaV2DGww0Ok4t9w1C2ljTH5gPeDlOj7YWvumMaYEsBioBEQBXa21J119hgO9gFRgkLV2hav9XiAQKAB8A7xkrbXGGC9gAXAvcAJ4wloblWVnmcuFhIQ4HUFERETyuD/i/+Bf6/9FxSIVefvB3HHDlWvJzNKOJKCltbYeUB9ob4y5HxgGrLbWVgVWu15jjKkJPAnUAtoD04wx7q6xpgN9gKqux193E+kFnLTWVgE+AMZlwbmJiIiIyG2QnJrMq9+/SmJKIh82/5CCnnljI4NrFtI23V/3j/Z0PSzwGDDf1T4f6OR6/hjwibU2yVobCewHGhljygBFrLWhNv0KxwUX9flrrGCglckLv8aIiIiI5AL/Dvs3245tY5TfKO4udrfTcW6bTF1saIxxN8ZEAEeBldbaTcDfrLWHAVz/3uE6vBxw8LzuMa62cq7nF7df0MdamwLEAiUvk6OPMSbMGBN27NixzJ2hiIiIiNwSqWmpBO8NZtEvi3i25rO0q5S3rs/K1MWG1tpUoL4xphgQYoypfZXDLzeTbK/SfrU+F+f4GPgY0re/u2poEREREclyiSmJbDq8iTUH17Du4Dr+TPyThnc05OV7X3Y62m13XdvfWWtPAetIX9t8xLVcA9e/R12HxQAVzutWHjjkai9/mfYL+hhjPICiwJ/Xky07i4qKonbty//u0bt3b3bt2gXAmDFjsvRzk5OTGTZsGFWrVqV27do0atSI5cuX39BY69at48cff7zpTOfOnWPw4MHcc889VK1alccee4yYmJhrd7yMwMBADh06dO0DRURE5KacSz3H6ujVDPl+CE0XN+XFNS/yXdR3NC7TmH83+zcz28zE083T6Zi3XWZ27SgNJFtrTxljCgCtSb8Y8EugOzDW9e9SV5cvgf8aYyYCZUm/qHCztTbVGBPnulBxE/BPYPJ5fboDocDjwBqbU+8Uc51mz56d8XzMmDG89tprWTb2yJEjOXz4MDt27MDLy4sjR47w/fff39BY69ato1ChQjz44IOXvJeSkoKHR+Z2UnzttdeIi4tj7969uLu7M2/ePLp06cKmTZuu++rewMBAateuTdmyZa+rn4iIiGTOpsOb+OrXr1gTvYa45DiKexWn490daX1Xa+678z483fNe8Xy+zFQ/ZYD5rp033IBPrbVfG2NCgU+NMb2AaOAfANbancaYT4FdQArwgmtpCEB//n/7u+WuB8Ac4D/GmP2kz0Q/ebMntuHTvRw/eObaB16HUhUK4d/V55rHTZw4kblz5wLpM86dOnUiJSWF7t27s3XrVnx8fFiwYAHe3t40b96cCRMmEBwczNmzZ6lfvz61atUiKCjoknEGDx5MfHw8Xbt2JSYmhtTUVEaOHMkTTzxxSYaEhARmzZpFZGQkXl5eAPztb3+ja9euAHz33Xe8+eabJCUlcc899zBv3jwKFSpEpUqV6N69O1999RXJycl89tln5M+fnxkzZuDu7s7ChQuZPHkyc+bMoUSJEmzdupWGDRsyYsQIevbsyYEDB/D29ubjjz+mbt26l2SaN28ekZGRuLunb+Ty3HPPMXfuXNasWUOrVq1YuHAhkyZN4ty5czRu3Jhp06YB0KtXL8LCwjDG0LNnTypUqEBYWBjPPPMMBQoUIDQ0lF27dvHKK69w5swZSpUqRWBgIGXKlLnB/20REZG8LXBHIO+Hv08hz0K0vKslD1V+iEZlGuXJmecruWYhba3dBjS4TPsJoNUV+rwLvHuZ9jDgkjUO1tpEXIV4ThceHs68efPYtGkT1loaN25Ms2bN2LNnD3PmzMHPz4+ePXsybdo0AgICMvqNHTuWKVOmEBERcdVxDhw4QNmyZVm2bBkAsbGxl82xf/9+7rrrLooUKXLJe8ePH2f06NGsWrWKggULMm7cOCZOnMgbb7wBQKlSpdiyZQvTpk1jwoQJzJ49mz7SjO0AACAASURBVH79+lGoUKGMzHPmzGHv3r2sWrUKd3d3Bg4cSIMGDViyZAlr1qzhn//8Z8a5XCuTr68vO3fupGzZsixevJgffvgBT09PBgwYQFBQELVq1eL3339nx44dAJw6dYpixYoxZcoUJkyYgK+vL8nJyQwcOJClS5dSunRpFi9ezIgRIzJ+EREREZHMC9kXwvvh79O2YlvG+I/By93L6UjZUq69s2FmZo5vhY0bN9K5c2cKFkzfP7FLly5s2LCBChUq4OfnB0C3bt2YNGnSBYV0Zsdp3749AQEBDB06lI4dO+Lv73/dGX/66Sd27dqVkefcuXM88MADGe936dIFgHvvvZcvvvjiiuP84x//yJhZ3rhxI59//jkALVu25MSJE8TGxlK0aNGM4621l12+8Vf76tWrCQ8P57777gPg7Nmz3HHHHTzyyCMcOHCAgQMH8vDDD9O2bdtLxtizZw87duygTZs2AKSmpmo2WkRE5AasiV7DW6Fv8UCZB3jP/z3yuedzOlK2lWsLaadcaWn3xQXktdYDX2kcHx8fwsPD+eabbxg+fDht27bNmEk+X5UqVYiOjiYuLo7ChQtfMnabNm1YtGjRZT/jr6Ug7u7upKSkXDHjX0X+lfIaY2jXrh1HjhzB19eXjz76iN9+++2STFu2bOGRRx5h165ddO/enffee++Ssf73v/+xYsUKpk6dyqeffnrJTLO1llq1ahEaGnrFvCIiInJ1P//xM0O+H0KtkrX4sMWHKqKv4bp27ZBra9q0KUuWLCEhIYH4+HhCQkLw9/cnOjo6o8hbtGgRTZo0uaSvp6cnycnJVx3n0KFDeHt7061bNwICAtiyZctlc3h7e9OrVy8GDRrEuXPnADh8+DALFy7k/vvv54cffmD//v1A+trlvXv3XvW8ChcuTFxc3FXPOygoCEi/MLFUqVIUKVKEFStWEBERwezZsylYsCDdu3fnlVdeITU1fdn8ggULSEhIoGXLlrRq1Yrg4GCOHk3fAObPP//kt99+4/jx46SlpfH3v/+dd955J+Ocz89UrVo1jh07lvEdJycns3Pnzquek4iIiPy/3Sd2M3DNQMoXLs+0VtPw9vR2OlK2pxnpLNawYUN69OhBo0aNgPSLBIsXL06NGjWYP38+ffv2pWrVqvTv3/+Svn369KFu3bo0bNiQoKCgS8Zp0KABK1asYMiQIbi5ueHp6cn06dOvmGX06NG8/vrr1KxZk/z581OwYEFGjRpF6dKlCQwM5KmnniIpKSnjWB+fKy+HeeSRR3j88cdZunQpkydPvuT9t956i+eee466devi7e3N/PnzLzMKvPfeewQEBODj44ObmxvVq1cnJCQEYww1a9Zk9OjRtG3blrS0NDw9PZk6dSoFChTgueeeIy0tLWMMgB49etCvX7+Miw2Dg4MZNGgQsbGxpKSkMHjwYGrVqnXFcxIREZF0R+KPMGD1AIrkK8LMNjMplr+Y05FyBJNTd5nz9fW1YWFhF7Tt3r2bGjVqOJRIcgL9jIiIiFwoKTWJHst7cCD2AEEPBVGleBWnI2U7xphwa63vxe2akRYRERHJo6y1jAodxY4TO/iwxYcqoq+TCulcoHPnzkRGRl7QNm7cONq1y1v3uxcREZHrs3D3Qr789UsG1BtAq7suu6uxXEWuK6SvtMVabhYSEuJ0hBwhpy5jEhERuRVCD4UyIWwCre5qRd96fZ2OkyPlql078ufPz4kTJ1QwySWstZw4cYL8+fM7HUVERMRxB08fZMj6Idxd9G7ebfIubiZXlYS3Ta6akS5fvjwxMTEcO3bM6SiSDeXPn5/y5cs7HUNERMRRJxNP0n91+u5hk1pMoqBnwWv0kCvJVYW0p6cnlStXdjqGiIiISLZ0NuUsA9cM5I/4P5jVdhYVilRwOlKOlqsKaRERERG5vNS0VIatH8a2Y9uY2HwiDe5o4HSkHE8LYkRERERyOWst721+jzUH1zC00VBaV2ztdKRcQYW0iIiISC43Z8ccFu9ZzHO1nuOZGs84HSfXUCEtIiIikov9d/d/+WjLR3So3IHB9w52Ok6uojXSIiIiIrnUgp0L+HfYv2lZoSXv+mmbu6ymQlpEREQkF5q3Yx4TwyfSpmIbxjUdh6ebp9ORch0V0iIiIiK5zKxts5i0dRIdKnVgjP8YPNxU8t0Kmt8XERERyUVmb5/NpK2TePjuh1VE32L6ZkVERERyiR8P/cikLZPoULkD7/q9i7ubu9ORcjXNSIuIiIjkAsfPHmf4huHcXfRu3n7wbRXRt4FmpEVERERyuNS0VIZtGEZCcgJz2s6hgEcBpyPlCZqRFhEREcnh5uyYw6bDmxjWaBhVildxOk6eoUJaREREJAcLPxLO1IipdKjUgS5VuzgdJ09RIS0iIiKSQ8XExTB0/VDKFSrHGw+8gTHG6Uh5itZIi4iIiOQgiSmJrIleQ8j+EDYd3kQ+93zM7zCfQvkKOR0tz1EhLSIiIpLNWWvZeWInS/Yv4ZsD3xCXHEfZgmXpX68/j1V5jLKFyjodMU9SIS0iIiKSTZ04e4KvD3zNkv1L2H9qP17uXrSu2JrOVTpz35334Wa0StdJKqRFREREshlrLRPDJ7Jw10JSbAp1S9Vl5P0j6VC5A4XzFXY6nriokBYRERHJZmZtn0XgzkAevedRetbuyT3F7nE6klyGCmkRERGRbOSrX79i8tbJPHL3I4z2G62dOLIxLawRERERySY2Hd7EGz++QaM7G/H2g2+riM7mVEiLiIiIZAP7Tu5j8NrBVCpSiQ9afICnu6fTkeQaVEiLiIiIOOzQmUP0X9Ufbw9vpreeTpF8RZyOJJmgQlpERETEQT//8TNPfv0kCckJTG09lTsL3ul0JMkkFdIiIiIiDrDWsuiXRfT5rg9FvYoS9HAQ1UtUdzqWXAft2iEiIiJym51LPce7m97li31f0Kx8M97zf0/7Q+dAKqRFREREbqOzKWfpu7IvW49u5fk6z/Nigxd1h8IcSoW0iIiIyG1irWX0T6OJOBrB+Kbj6VC5g9OR5CZc89cfY0wFY8xaY8xuY8xOY8xLrva3jDG/G2MiXI+Hzusz3Biz3xizxxjT7rz2e40x213vTTKuzRGNMV7GmMWu9k3GmEpZf6oiIiIizvpi3xd8+euX9K3XV0V0TmHtFd/KzN8RUoBXrbU1gPuBF4wxNV3vfWCtre96fAPgeu9JoBbQHphmjHF3HT8d6ANUdT3au9p7ASettVWAD4Bx13F6IiIiItnerhO7GLNpDA+WfZB+dfs5HUcy4/A2mNP2im9fs5C21h621m5xPY8DdgPlrtLlMeATa22StTYS2A80MsaUAYpYa0OttRZYAHQ6r8981/NgoJXRrXxEREQkl4hNiuWVda9QPH9xxvqPxd3N/dqdxDmJp2H5MPi4Gfx54IqHXdfKdteSiwbAJlfTi8aYbcaYucaY4q62csDB87rFuNrKuZ5f3H5BH2ttChALlLyebCIiIiLZUZpN4/WNr3Mk4QjvN3+f4vmLX7uTOMNa2B4MU3xh0wy49zkYGHbFwzNdSBtjCgGfA4OttadJX6ZxD1AfOAy8/9ehl4t1lfar9bk4Qx9jTJgxJuzYsWOZjS4iIiLimFnbZrEuZh0BvgHUK13P6ThyJQd/hsCH4fNeULgMPL8aOk6EAlf+xSdTu3YYYzxJL6KDrLVfAFhrj5z3/izga9fLGKDCed3LA4dc7eUv035+nxhjjAdQFPjz4hzW2o+BjwF8fX2vvPJbREREJBv4bO9nTImYQse7O/J09aedjiOXc2wPrB4Fv3wNBUvDw++nz0RnYvlNZnbtMMAcYLe1duJ57WXOO6wzsMP1/EvgSddOHJVJv6hws7X2MBBnjLnfNeY/gaXn9enuev44sMa1jlpEREQkR/o28lveCX0H/3L+jPIbhS7/ymbiT8DSF2Da/XDge2j+GgyKgPt6Z6qIhszNSPsBzwLbjTERrrbXgKeMMfVJX4IRBfQFsNbuNMZ8CuwifcePF6y1qa5+/YFAoACw3PWA9EL9P8aY/aTPRD+ZqfQiIiIi2dCGmA0M3zCcBnc04P3m7+Pp5ul0JDlfTBh82h3ij0LjfuD/KhQsdd3DmJw68evr62vDwq68+FtERETECeFHwum3sh+Vi1ZmTrs5uvV3dmIt/Dwbvh0ORcpA1/9A2frX7GaMCbfW+l7crjsbioiIiGSRA6cO8OLqF7mz4J3MaDNDRXR2ci4Bvh4M2xZD1bbQeSZ4l7ipIVVIi4iIiGSB1LRURv44Eg83D2a1nUWJ/DdXpEkWOvoLBPeEo7vS10I3HQJu17UL9GWpkBYRERHJAov3LGbbsW2MaTKGOwve6XQcgfSlHOHz4NvXIJ83PBMMVVtn2fAqpEVERERu0uEzh/loy0f4lfWj490dnY4jAAl/wleDYPdXcHcL6DwDCmftLzgqpEVERERugrWWd356B4tl5AMjtc1ddhC5AUL6wpmj0OYdeODFLFnKcTEV0iIiIiI34duob9nw+wb+dd+/KFeonNNx8rakM7DqLfh5FpS4G3p9B+Ua3rKPUyEtIiIicoNOJZ5i7Oax1ClVR3cudNqB7+HLF+HUQWjcH1qNhHwFb+lHqpAWERERuQFHE47y3qb3OJ10mlltZ+GeybvhSRZLioOVb0LYHChxDzy3HCo+cFs+WoW0iIiISCbFJsWy8reVLI9czs9//IzFMrDBQHyK+zgdLW/6dS18OQhiD6avg24xIn13jttEhbSIiIjIVVhr2fTHJhb/sph1MetISUuhUpFK9KvXjw6VO1C5aGWnI+Y9iadh5UgID4SSVaDnCrir8W2PoUJaRERE5DJOnzvNl/u/ZPGexUSdjqKYVzGerv40D9/9MDVK1NDuHE7Ztwq+egniDsGDg6DFa+BZwJEoKqRFRERELvLjoR8ZvHYwZ1POUq90PcY0GUPbSm3xcvdyOlredWgrrHobDqyFUj7Q8zuocJ+jkVRIi4iIiJxn38l9vLLuFSoUrsA7fu9Qs2RNpyPlbcf3wZrRsGsJFCgB7caAby/wzO90MhXSIiIiIn85lnCMF1a/QEGPgkxtNVW3+nZSciKsHgWbZoBHfmg2NP2CwvxFnE6WQYW0iIiICJCQnMDANQM5lXSKwPaBKqKddGQnfN4bju6Ce59L342jUGmnU11ChbSIiIjkealpqQzbMIzdf+7moxYfaTmHU9LSYPPM9H2h8xeFZ4KhahunU12RCmkRERHJ8z4I/4C1B9cyrNEwmldo7nScvCk2Jn1P6F9Xg097eHRKtpyFPp8KaREREcnTVv62kvm75vNktSd5psYzTsfJe9JSYfPH6RcUpqXCw++nX0yYA7YXVCEtIiIieVZMXAxv/vAmdUrV4V/3/cvpOHnPoYj0PaEPR0CV1ulFdPFKTqfKNBXSIiIikiclpybzr/XpxfP4puPxdPd0OFEekpIEa96B0KngXQoenwu1uuSIWejzqZAWERGRPOmjLR+x/fh2JjafSPnC5Z2Ok3f8GQmf9Uifhb63B7R+GwoUczrVDVEhLSIiInnO9we/z1gX3aZi9t0VItfZtRSWvpg+8/xEENTo6HSim6JCWkRERPKUP+L/YMQPI6heojoB9wU4HSdvSEmC715Pv6iw3L3w+DwoXtHpVDdNhbSIiIjkGalpqQzfMJzk1GT+3fTfeLl7OR0p90v4ExY9BQd/Sr8zYas3wSOf06myhAppERERyTPm7ZxH2JEwRvuNplLRSk7Hyf1ORcPCv8PJqPRZ6NpdnE6UpVRIi4iISJ6w68Qupm6dSpuKbXj0nkedjpP7Hd4GQf+AlLPwbAhUauJ0oiynQlpERERyvbMpZxm6figlCpTgzQfexOSwbdZynF/XwuJnIX8R6LkC7qjhdKJbQoW0iIiI5Hrvh71P1OkoZrWdRVGvok7Hyb2shZ9nw7fDoZQPPPMZFC3ndKpbRoW0iIiI5GrfH/yexXsW071md+4vc7/TcXKvpDPpdyncEQxV20GXj3Ps/tCZpUJaREREcq3jZ4/zxo9vUK14NQY1HOR0nNzr2J70pRwn9kHLkdDkFXBzczrVLadCWkRERHKl1LRUhq4fSkJyAmPbjiWfe+7Yci1bsRa2fQpfvwyeBdIvKry7udOpbhsV0iIiIpIrTf/fdDb/sZl3/N6hSvEqTsfJff7YDsuHwW8boUJj+EcgFCnrdKrbSoW0iIiI5Do//P4DH2/7mE5VOtGpSien4+Qu8cdhzWjYMh/yF4OHJ8K9PcDN3elkt50KaREREclV/oj/g2EbhnFPsXt4rfFrTsfJPRJPw8+zYONHcO4MNOoLzYdCgeJOJ3OMCmkRERHJNZLTkhny/RDOpZ5jYvOJFPAo4HSknO/sSdg0E36aDomnoEobaDsa7qjudDLHqZAWERGRXGPSlklEHItgnP84Khet7HScnC3pDGycCJs+hnNxUO1haPoqlLvX6WTZhgppERERyRV++P0HAncG0tWnKw/d/ZDTcXK2X9fCV4PgVDTU7ARNA+DOOk6nynZUSIuIiEiOd+LsCUZsHME9Re9hyH1DnI6Tc509Bd+9Dlv/AyWrwHPfQsUHnE6VbamQFhERkRzNWssbP75B3Lk4ZraZSX6P/E5Hypn2rYQvB8KZI+A3GJoPS98bWq5IhbSIiIjkaIt+WcT6mPUMazSMaiWqOR0nZ9o8C74ZAnfUhCf/C+UaOp0oR7jmvRuNMRWMMWuNMbuNMTuNMS+52ksYY1YaY/a5/i1+Xp/hxpj9xpg9xph257Xfa4zZ7npvkjHGuNq9jDGLXe2bjDGVsv5URUREJLfZd3If74e9T5NyTXi6+tNOx8l5rIXVo+CbAPBpD71XqYi+Dpm5CXoK8Kq1tgZwP/CCMaYmMAxYba2tCqx2vcb13pNALaA9MM0Y89cO3dOBPkBV16O9q70XcNJaWwX4ABiXBecmIiIiuVhiSiL/Wv8vCuUrxGi/0bjm5ySzUpNh6Yuw4X1o+E94YiHk83Y6VY5yzaUd1trDwGHX8zhjzG6gHPAY0Nx12HxgHTDU1f6JtTYJiDTG7AcaGWOigCLW2lAAY8wCoBOw3NXnLddYwcAUY4yx1tqbP0URERHJTfaf3M83kd+wPHI5MWdimN56OiULlHQ6Vs5yLh4+6wH7voNmw9LXQ+sXket2XWukXUsuGgCbgL+5imystYeNMXe4DisH/HRetxhXW7Lr+cXtf/U56BorxRgTC5QEjl/0+X1In9Hmrrvuup7oIiIikoOdPneaz/Z8xrLIZew7uQ8348b9Ze7nVd9XaVKuidPxcpZTB+GTp+DITuj4Afj2dDpRjpXpQtoYUwj4HBhsrT19lT+fXO4Ne5X2q/W5sMHaj4GPAXx9fTVbLSIiksudOXeGhbsXsmDnAuKS46hfuj7DGw2nbaW2lCpQyul4Oc9vobC4G6Seg6cWg09bpxPlaJkqpI0xnqQX0UHW2i9czUeMMWVcs9FlgKOu9higwnndywOHXO3lL9N+fp8YY4wHUBT48wbOR0RERHKBhOQEFv2yiHk75xGbFEvzCs15of4LVC+h21LfsPD5sOxVKHYXPPUJlPZxOlGOd81C2rWzxhxgt7V24nlvfQl0B8a6/l16Xvt/jTETgbKkX1S42VqbaoyJM8bcT/rSkH8Cky8aKxR4HFij9dEiIiJ502+nf6P/qv4cjDuIXzk/Xqz/IrVL1XY6Vs6VnAgrR8Lmj+GeVvD4HChQ/Nr95JoyMyPtBzwLbDfGRLjaXiO9gP7UGNMLiAb+AWCt3WmM+RTYRfqOHy9Ya1Nd/foDgUAB0i8yXO5qnwP8x3Vh4p+k7/ohIiIieczO4zsZsHoAaTaNOW3n0KhMI6cj5WxRP6Tf6vvEfnjgRWj9NrjrNiJZxeTUiV9fX18bFhbmdAwRERHJIj/+/iOD1w2mRP4SzGg9g0pFKzkdKec6ewpWvQnhgVCsIjzyIdzT0ulUOZYxJtxa63txu34lEREREcd99etXvPHDG9xT7B6mt55Oae/STkfKuX75Br5+GeKPwoMDoflwyFfQ6VS5kgppERERcUxSahJTI6Yyb8c8Gt/ZmA9afEDhfIWdjpUznb8W+m914OlPoGwDp1PlaiqkRURExBERRyMY+cNIok5H8feqf+e1xq+Rzz2f07FyphO/pt9g5Y9t6WuhW70JHvoubzUV0iIiInJbnU05y6QtkwjaHcSdBe9kZpuZPFj2Qadj5VzbPoOvB4O7Z/q2dtU6OJ0oz1AhLSIiIrfNH/F/0GtFL6Ljonmi2hO8fO/LFPTU+t0bci4Blv8Ltv4HKtyfvq1d0fLX7idZRoW0iIiI3BZnzp1hwOoB/Jn4p7a2u1lHd8Nnz8GxX8A/IP2CQm1rd9vpGxcREZFbLjktmYDvA4g8FcnU1lNVRN8oa2HrQvhmCHgVgme/0LZ2DlIhLSIiIreUtZZ3f3qXHw79wNsPvq310DcqNgZWvgE7PofKzaDLLCj8N6dT5WkqpEVEROSWmrtjLp/v+5zedXrTpWoXp+PkPLG/w4b3YcuC9NctXgf/V8DN3dlcokJaREREbp0VUSv4cMuHtK/UnoENBjodJ2eJ+wPWT4At89OXdDToBv6vQrEKTicTFxXSIiIickvsOrGLERtHUL90fUY3GY2bcXM6Us6xbyV88TwkxUH9Z6BpABS7y+lUchEV0iIiIpLlTpw9wUtrX6J4/uJ80OIDvNy9nI6UM6SmwLox6Us5/lYb/hEIpao6nUquQIW0iIiIZKnk1GReWfcKJxNPsqDDAkoVKOV0pJwh7gh83guiNkDDf0KH8eBZwOlUchUqpEVERCRLjd08li1HtzDOfxw1S9Z0Ok7OELkBgnumL+XoNB3qP+10IskEFdIiIiKSZT7d8ymf7v2U52o/x0N3P+R0nOwvLQ02ToS170KJe+CfS+BvtZxOJZmkQlpERESyxM9//Mx7m97Dr5wfLzV4yek42V/Cn/BFH9i/Emr/HR75CLwKO51KroMKaREREblpe0/u5aU1L1GhSAXGNx2Pu/Y4vrqYMPi0O8QfhYcmwH29wRinU8l1UiEtIiIiN+XwmcP0X9mfAh4FmNF6BkXyFXE6UvaVlgY/fgRrRkORstBzBZRr6HQquUEqpEVEROSGnUo8Rd9VfTmbcpbADoGULVTW6UjZ1+lDENIXItdDzcfSl3IUKO50KrkJKqRFRETkhpxNOcuLa17k97jfmdlmJj7FfZyOlH3t/hq+fBFSkuDRydDgWS3lyAVUSIuIiMh1sday88ROpmydwvbj23m/2fv43unrdKzsKTUZVoyAzTOhTD34+xzdYCUXUSEtIiIi1/RX8fxd1Hd899t3/H7mdzzcPHj9/tdpXbG10/Gyp7Mn0y8ojPwe7h8Ard8Gj3xOp5IspEJaREREruj42eMs3b+UL/Z9QXRcNB7Gg/vL3k+/ev1oUaEFRb2KOh0xezq+D/77BJyKhsemQYNnnE4kt4AKaREREbmAtZaNv2/k832f8/3B70mxKdz7t3vpXac3Le9qqeL5Wvavhs+eA3dP6PE13HW/04nkFlEhLSIiIhmSU5N5/YfX+SbyG0rkL0G3mt3oUrULlYtWdjpa9mct/DQNvhsJpavDU4ugeEWnU8ktpEJaREREAIhPjmfw2sH8dPgnXqz/Ij1r98TT3dPpWDnDuQT4ahBs/wyqd4TOM3SXwjxAhbSIiIhw/OxxBqwawN6Te3nH7x06VenkdKSc42QUfNINjuyAliOhySvg5uZ0KrkNVEiLiIjkcdGno+m7si8nEk8wueVk/Mv7Ox0p59i/Gj7vBTYNnvkMqrZxOpHcRiqkRURE8rBfT/1KzxU9SbNpzG47m7ql6zodKWc4exJWvglb5sMdteDJhVDibqdTyW2mQlpERCSPioyNpNeKXrgZN+a1n8fdRVUIXpO1sDMElg+FhOPw4EBoPhzyFXQ6mThAhbSIiEgeFH06mt4remOxzG07V0V0Zpz8DZb/C/6PvfsOb7M6/z/+fmzLlqe8907sJM6wQ5w9CCuEMFNGWU1LKdBCyugAUla/QNkUWkr5QQijpWWXPQMhJGQ7ezmOHTvee0jWHuf3h0wgrJBhPx7367p0WXn0SL4FtvTR8Tn3KfsQUor8UzlSi/SuSuhIgrQQQggxxNR113H5x5fj8rlYcuoScqMlRP8gSyOseAg2PufvDX3qPTDpKgiUGDXUyU+AEEIIMYQ0Whu5/KPLsbltLDl1Cfkx+XqX1H/Z2mHVo7DuKfC5YfylMOtGMKXpXZnoJyRICyGEEEOE0+vkmk+vwew0s3jOYkbGjtS7pP7J44S1T8DKh8FpgXEXwOybZTGh+BYJ0kIIIcQQ8dCGhyjrKOPxkx5ndPxovcvpf5SC3e/A0tv8vaHz58JJd0BSgd6ViX5KgrQQQggxBHxa/Skv7XmJnxX8jFnps/Qup/9p3AEf3gxVKyFhFPzsDRh2ot5ViX5OgrQQQggxyDVaG7l91e2Mih3F9cddr3c5/YvHCZ8/AF88AkYTzHsIJlwmCwnFjyI/JUIIIcQg5vF5uGnFTXh8Hh48/kGCA4P1Lqn/qNsIb14DLbuh6BKYczeExepdlRhAJEgLIYQQg9hT255iU/Mm7plxD1lRWXqX0z+4HfD5fbDqbxCRDJe8Jlt7iyMScKgTNE17RtO0Zk3Tdnzt2J81TavTNG1Lz2Xe125bpGlauaZpezRNO/Vrxydomra957a/a5qm9RwP0TTt5Z7j6zRNyz62T1EIIYQYmjY0buDJbU9y1rCzOHPYmXqX0z+0VcDTJ/uncoy/FK5ZKyFaHLFDBmngOWDudxx/RClV1HN5H0DTtALgQmB0z33+qWlaYM/5TwBXAnk9ly8f83KgQyk1HHgEuP8In4sQQgghenQ6Orl55c1kRGZwy+Rb9C6nf9j5Bjx5PJhr4eJX4KzH3XyJ2wAAIABJREFU/POihThChwzSSqkVQPuPfLyzgZeUUk6lVCVQDkzSNC0FiFJKrVFKKeBfwDlfu8/zPddfA076crRaCCGEEIdPKcVtq26j3dHOA7MeIMwQpndJ+vK44P0b4dVfQOJIuGol5J96yLsJcSg/ZkT6+yzUNG1bz9SPmJ5jaUDN186p7TmW1nP9m8cPuo9SygN0AXFHUZcQQggxpP239L8sr13O7yb8joK4Id4DuasOnp0L65+EKdfAL96H6Ay9qxKDxJEG6SeAYUAR0AA83HP8u0aS1Q8c/6H7fIumaVdqmlaiaVpJS0vL4VUshBBCDAGl7aU8XPIwx6cfz6WjLtW7HH3VbYTFJ0BLGfz0BZh7DwRJ1xJx7BxRkFZKNSmlvEopH7AYmNRzUy3w9Y956UB9z/H07zh+0H00TQsCTHzPVBKl1FNKqWKlVHFCQsKRlC6EEEIMWja3jT9+/kdiQmK4a/pdDOmZkjv+B8/Og6AQ+NVSGCWLLcWxd0RBumfO85fmA1929HgbuLCnE0cO/kWF65VSDYBF07QpPfOfFwBvfe0+P++5fh6wrGcetRBCCCEOwz3r7mG/eT/3zryXGGPMoe8wGCkFy++H1y6DlCK44jNIHKV3VWKQOmQfaU3TXgRmA/GaptUCdwCzNU0rwj8Fowq4CkAptVPTtFeAXYAHuEYp5e15qN/g7wASCnzQcwFYAvxb07Ry/CPRFx6LJyaEEEIMJa+Xvc5bFW9x5bgrmZQy6dB3GIxs7fDuDbDrTSi8CM78m39EWoheog3Uwd/i4mJVUlKidxlCCCGE7na27mTBBwuYkDSBJ05+gsCAwEPfabApfR/evR5sbXDS7TDtWhjKU1vEMaVp2kalVPE3j8vOhkIIIcQA1uHo4IblNxAXGsf9s+4feiHa1g4f3gzbXoaksf5dClPG6V2VGCIkSAshhBADlNfn5cYVN9Jmb+Nf8/419OZFl30Mby/0j0IffzPM/L105RB9SoK0EEIIMUD9Y8s/WNuwljun3cnouNF6l9N33HZYejusfwoSR8Mlr0JKod5ViSFIgrQQQggxwFhcFl4ve52ntz/NuXnnMj9vvt4l9Z2mnfDa5dCyG6ZcDSfdAQaj3lWJIUqCtBBCCDEA+JSPDY0beKP8DT7Z/wlOr5PJyZP50+Q/6V1a3/B6YMNiWHoHGE1wyeuQd7LeVYkhToK0EEII0Y/VddfxdvnbvFXxFnXddUQGR3LO8HOYP3w+BXEFg3/TFZ8Xtr8GKx6AtnLInwtnPw7h8XpXJoQEaSGEEKK/cXgcfFL9CW+Wv8m6hnVoaExJmcJ1x13HiZknEhI4BHoj+7yw43X4/H5/gE4aAxf8279D4WD/8CAGDAnSQgghRD9Sba7m8o8vp9HaSFpEGtcUXcPZw84mJSLl0HceLCo+gw8X+edBfxmgR54BAUe0IbMQvUaCtBBCCNFP1Jhr+OVHv8TpdfLkyU8yJXUKAdoQCo8dVfDRLVD6LsRkw/nPw6izJECLfkuCtBBCCNEP1Fhq+OXH/hD99JynGRE7Qu+S+o7LBl88Aqv+BgGB/p0Jp1wj3ThEvydBWgghhNBZraWWyz+6HLvHPvRCdGs5vLIAmnfC2PPh5P8DU5reVQnxo0iQFkIIIXRU113H5R9djtVt5ek5TzMydqTeJfWdXW/Bm9dAoEHa2YkBSYK0EEIIoZMORwdXLb0Ki9vC03OeZlTcKL1L6htet78f9NrHIa0YLngeTOl6VyXEYZMgLYQQQujA7rGzcNlCGq2NLJ6zmIK4Ar1L6hvWVnjpEqhZC5Ougjl3Q1Cw3lUJcUQkSAshhBB9zOvzctOKm9jesp1HZj/C+MTxepfUN9or4YVzwVwH5y6BsefpXZEQR0WCtBBCCNGHlFLcu/5ePqv5jEWTFnFS1kl6l9Q3GrbCC+eB1wUL3obMyXpXJMRRk8aMQgghRB9asmMJL+95mcvGXMbFoy7Wu5y+sW85PHs6BAbD5R9LiBaDhgRpIYQQoo+8v+99/rbpb5yWcxrXH3e93uX0je2v+UeiozPgV0shYQi19hODngRpIYQQog9sbt7MratuZULSBO6efvfQ2LFwzT/h9cshYxJc9gFEpepdkRDHlMyRFkIIIXpZjbmG65ZdR2pEKo/OfpTgwEHepcLng0/ugNV/h1Fnwk+ell0KxaAkQVoIIYToRV3OLq7+9Gp8+Hj8pMeJNkbrXVLv8rrhrYWw7SWY+Cs47QH/tt9CDEISpIUQQohe4va6+d3y31HbXcvTc54mKypL75J6l7Pbv913xadw4q0w8w+gaXpXJUSvkSAthBBC9AKlFHeuvZP1jeu5Z8Y9TEiaoHdJvctpgf+cDzXr4KzH4LgFelckRK+TIC2EEEL0giU7lvBm+Zv8uvDXnDnsTL3L6V0HQvR6/0YrY36id0VC9IkhsGRYCCGE6FsfVn3I3zb9jXk587i68Gq9y+ldB4XopyVEiyFFgrQQQghxDG1t2cotK29hfOJ47px+J9pgniMsIVoMcRKkhRBCiGOkrruOa5ddS2JYIo+e8CghgSF6l9R7upvhhXMlRIshTeZICyGEEMeA2WXmmk+uwe1z8/jJjxNrjNW7pN5T8Rn870pwmuG8JTB6vt4VCaELCdJCCCHEUbK6rSz8dCH7zft58pQnyTXl6l1S7/B64LO/wBePQHw+LHgTkkbrXZUQupEgLYQQQhwFm9vG1Z9czbaWbdw/634mpUzSu6Te0V4Jb1zlb2933AKYex8Eh+tdlRC6kiAthBBCHCGb28bVn17NlpYt3D/zfk7NPlXvko4tnw8qlkHJEij7EAzh/vZ2Y8/TuzIh+gUJ0kIIIcQRsHvsLFy2kM3Nm7l3xr3MzZmrd0nHjsMMJc/AxmehowrCE2D69f4tv01pelcnRL8hQVoIIYQ4TOUd5dyz/h42Nm3kLzP+wrzceXqXdGwoBdtegaW3QXcTZE2HE2+DUWdBULDe1QmhC4vD/b23SZAWQgghfgSHx8HS/Ut5texVNjdvxhBg4O7pd3NG7hl6l3ZsNGyDD26E6jWQehxc+F9IL9a7KiH6TF2nnTUVbexpNFPTbqe200ZNu50uuwRpIYQQ4oi02lt5fufzvL73dSwuC1lRWfx+wu85a/hZg6PFna0dPrvHPw86NAbOegyKLoUA2WpCDF5Oj5eqVhs767tYu6+NNfvaqGm3AxASFEB6TCjpMWEUZUSTHhPGb+7/7seRIC2EEEJ8h3ZHO8/teI4XS1/E5XNxStYpXJB/AROTJw6O3Qp9Ptj8b/j0/8De4Z//fMKf/GFaiEHC4fayr8XK3mYL5c3d7G3qpqzZwv42G16fAiA6zMDknFh+OT2HKblxjEiKJCDg4N/x33zP40uQFkIIIb7G6rayZPsSXtj9Ag6Pg3m58/j1uF+TbcrWu7Rjp3YjvP8HqN8EmVNh3oOQPFbvqoQ4YnaXl4qWbvY2W9jb1M3e5m7Km7vZ32alJy8TGKCRFRdGXmIEp49NYXhiBCOSI8lP/HZw/rEkSAshhBA9XF4XCz9dyMamjczNnsuvC39NbvQg2lxFKVh6O6z+O0Qkw08Ww9jzYTCMsItBSSlFa7eLJrODZouDxi4nTWbHgUuj2Umz2UGb1XXgPkEBGtnx4YxKieTMwlTyEiPIT4okOz6MkKDAY1qfBGkhhBAC/xv2n1f/mZKmEu6beR+n556ud0nHls8H7//e39Zuwi/glLvAGKV3VUIc4HD7R5V31ZvZ1WA+8NXi8Bx0nqZBXHgIyaYQUk1GijKiSTEZGZ4YQV5iBFlx4QQH9c0cfwnSQgghBPDE1id4Z987LCxaOAhDtBfeuRY2vwAzboCT7pBRaKEbq9NDec/Uiy+nYJQ3W6hutx2YhhFqCGRkSiRnF6UyPCGCZFMoSVEhJEUZSYgMwRDYPxbDHjJIa5r2DHAG0KyUGtNzLBZ4GcgGqoALlFIdPbctAi4HvMC1SqmPeo5PAJ4DQoH3geuUUkrTtBDgX8AEoA34qVKq6pg9QyGEEOIQ3q54mye2PsHZw87mynFX6l3OseX1wFtXw7aX4fibYfbNEqJFn/D6FJWt3eys948u7260UNHcTV2n/cA5hkCNnPhwRqeaOKsojbzECApSo8iOCyfwCOct96UfMyL9HPAP/GH3SzcDnyql7tM07eaef9+kaVoBcCEwGkgFPtE0LV8p5QWeAK4E1uIP0nOBD/CH7g6l1HBN0y4E7gd+eiyenBBCCHEo6xvWc8fqO5icMpk7pt4xODpyfMnrhv9dCTv/599YZdYf9K5IDEJur4+adhsVLVbKm7t7Fv11s6fRjMPtAyA4MIDhiRFMzI7h4qRMhiVEkJcUQWZsWL8ZXT4ShwzSSqkVmqZlf+Pw2cDsnuvPA8uBm3qOv6SUcgKVmqaVA5M0TasCopRSawA0TfsXcA7+IH028Oeex3oN+IemaZpSSh3pkxJCCCF+jD3te7h++fVkRWbx19l/xRBo0LukY8dhhld/ARWf+udDT79W74rEAOPzKeo67dR22GnoslPfaae+y0Gz2UG71UWHzU1btxPzN+YwJ0aGMCwhgosnZTE6NYrRaVEMS4gY0IH5+xzpHOkkpVQDgFKqQdO0xJ7jafhHnL9U23PM3XP9m8e/vE9Nz2N5NE3rAuKA1m9+U03TrsQ/qk1mZuYRli6EEEJAZVclVy69krCgMP558j+JCh5EC+/M9fCf86F5t3+DleMW6F2R6OesTg+bqzvZ1dDFnsZuypr8fZftbu9B58WGB5MUZSQuPJi0mDBiwwxEhwWTHhPKsMQIhiVEYAodRB9ID+FYLzb8rr+HqR84/kP3+fZBpZ4CngIoLi6WEWshhBBHpNZSy68+/hUAi+csJjUiVeeKjqHGHfDfC/wj0pe8CsNP0rsi0Q+1WJyUVLWzoaqDkv3t7Kw3H9igJDEyhPykSC6alEleUgQZMWGkRhtJMYUSGnxs28cNdEcapJs0TUvpGY1OAZp7jtcCGV87Lx2o7zme/h3Hv36fWk3TggAT0H6EdQkhhBA/qMnaxBUfX4HD4+CZU58hx5Sjd0nHTsUyeHkBhETCLz+QTVYE4G/tWNlqpaSqgw1V7ZTs76Cy1Qr4t8Muyojm6tnDKM6OZVyaiZjwYJ0rHjiONEi/DfwcuK/n61tfO/5fTdP+in+xYR6wXinl1TTNomnaFGAdsAB47BuPtQY4D1gm86OFEEL0hnZHO1csvYJ2RztPz3maEbEj9C7p2Nn8ArxzHSSMhItfAVPaoe8jBiW318euerM/NPeMOLd2+zcsiQ4zUJwVy0WTMijOjmVMqqnPei4PRj+m/d2L+BcWxmuaVgvcgT9Av6Jp2uVANXA+gFJqp6ZprwC7AA9wTU/HDvBvU/4c/vZ3H/RcAJYA/+5ZmNiOv+uHEEIIcUzVWmpZ+OlCGrobeOLkJxibMEhGa5WC5ffC5/dD7glwwb9ko5Uh5sv5zf7R5nY2V3dic/njV0ZsKLPyEpiYE8vE7Bhy4yOOeDts8W3aQB38LS4uViUlJXqXIYQQYgDY1LSJ6z+7Hq/y8sjsR5iUMknvko4Nj8u/0crWF2H8pXDGozCYOo8InB4vXXY3ZrubTpubdquL2g47+9usVLbZ2N9mpaZnIxNNg1HJUUzKiaU4O4birFiSTUa9n8KgoGnaRqVU8TePy86GQgghBrW3K97mz6v/TFpEGo+d+BjZpmy9Szo2HF3w8qVQuQJOuAVm/VE2WhnA/JuXWA/aGntXvZnWbud3nh8ZEkR2fDhj00ycXZTGhKwYxmdGE2WUD1J9SYK0EEKIQcmnfPx9099ZsmMJk5Mn8/DshzGFmPQu69ho2ObvEd1ZDfOfhEKZFTmQWBxuShst7O4Jy7sbzOxpshzYvMQQqJGXGMnsEQlkxYYRHR6MKdRAdKiB6DADadGhxIYHD67NgwYoCdJCCCEGHZvbxqKVi1hWs4zz889n0eRFGAIGwUidUrDxOfjgJgiLhZ+/DVnT9K5K/ACzw83Gqg621nb2bJNtpqb9qy2yo8MMjEqO4uJJWYxKiWR0qonhiRGyAHCAkCAthBBiUGm0NvLbZb+lrKOMmybexCWjLhkcI3fObnj3etj+Kgw7CX7yFITH612V+IYWi5MNVe2sr/RfdjeaUT3zl3PiwhmXFs2FEzMZlRLJqJQokqOMg+Pnc4iSIC2EEGLQ2N6ynWs/uxa7x84/TvwHM9Nn6l3S0fN5Yc8H8Mmfob0CTrwVZvweAmTEUm8er4/aDjubqjv8wbmqnX0t/v7MRkMAx2XGcN1JeUzKjqUwI5rwEIldg438HxVCCDEofFj1Ibd+cSvxofEsPmUxw2OG613S0XHbYct/Yc3j/gAdnQUL3oacQfDhYIDx+RT7Wq1sremktNFMZauVylYr1e023F5/97MoYxATs2P5aXEGE3OkP/NQIUFaCCHEgLesehk3fn4jRYlFPHrCo8QaY/Uu6ch5nLD6MVj7T7C1QepxcN6zMOosCJS37b7Q7fSwcX8HGyrb2VLTydbaTiwOD+DfCTA7Lpy8xEjmjE4mJy6csekmRiRFSn/mIUh+I4UQQgxoe9r3cPPKmymIK+CpU57CGDSA++bWrIe3FkLrHsg7FaZf519MKHNoe5Xd5WXtvjbW7GtjXWU7O+q68PoUgQEaI5MjObMwlaKMaIoyohmWEEGgBGbRQ4K0EEKIAavd0c61y64l0hDJ30/8+8AN0c5uWHY3rPt/EJUGl7wGeafoXdWgpZSioqWb5Xta+LyshXWV7bg8PoIDAyjKiOY3xw9jcm4sE7JiCAuWqCS+n/x0CCGEGJDcXjc3fHYDbY42npv7HIlhiXqXdGQqV8Cb10BXNUy8Ak6+A0Ii9a5qULE6PWyr7WJzTQebqzvZXN15YKOT4YkR/GxKFrNHJDAxOxajIVDnasVAIkFaCCHEgKOU4q61d7GpeRMPzHqAMfFj9C7p8Pm88Pn98PkDEDcMLvsQsqbqXdWg4PH62Frbxcq9Lazc28qWmk68Pv+iwNz4cGblxzMhK4ZZeQlkxIbpXK0YyCRICyGEGFBa7a08s+MZ3ih/g6vGXcVpOafpXdLhMzfA/66AqpVQeDHMexBCIvSuakBzeXx8XtbCm1vqWFHWgsXhQdNgXJqJXx+fS3F2LEXp0cSEB+tdqhhEJEgLIYTo95RSbGnZwoulL7J0/1I8Pg9nDzubq4uu1ru0w1f+CfzvKnDb4JwnoOhivSsasNxeH1trOnlzSx3vbmug0+YmNjyY08YkMys/genD4iU4i14lQVoIIUS/5fK6eG/fe/xn93/Y07GHSEMkF464kPNHnE+uKVfv8g5Pd4t/U5UtL0BiAZz/HCSM0Luqfs3nUzRZHFS2WqlqtbG/zUpdp536TjsNXQ6azA58yr/5yZyCZOaPT2NGXjyGQOnfLPqGBGkhhBD9Tqejk1fKXuHF0hdptbeSF5PH7VNv5/Sc0wkzDLA5rT4vlDwDy+4ClxWmXQsn/AkMoXpX1u80dNkpqepg4/4ONlV3UNZkweH2Hbg9ODCA1GgjqdGhTBsWT1q0kWGJEZw0KokI2TVQ6EB+6oQQQvQbNreNv2/+O6+XvY7D62BG2gwWFCxgSsoUtIHYS7lmA7z3O2jcBjmzYN5DMgr9NR6vj3WV7by3vYHlpc3UdzkACDUEUpQRzSWTs8iODycnLpzs+DBSTKHSw1n0KxKkhRBC9As15hquW34d5R3lnDP8HBYULBi423z7vLDyYVh+L0Qk+3cmHD1fNlbBP11j7b423t3ewEc7GmmzuggLDuT4/ASumBVLcVYsI1MiZXqGGBAkSAshhNDditoV3LzyZgK0AJ44+Qmmp03Xu6QjZ2n0d+SoXAFjz4fT/wrGKL2r0l1Nu43XNtby2sZa6jrthAUHcuLIRE4fm8LsEYmEBkv/ZjHwSJAWQgihG5/y8eTWJ/nn1n8yMnYkj8x+hPTIdL3LOnJ7P4E3ejpynP04FF0ypEehHW4vH+1s5JWSGlaVt6FpMGN4PDfOHcGcgmQJz2LAkyAthBBCF92ubhatXMTy2uWcNewsbpty28Dd4tvR5d/ie/1TkDgazn92yM6FVkqxo87MKyU1vLWlDrPDQ3pMKDecnM+5E9JIjxlgi0WF+AESpIUQQvS5GnMNv132W6rMVSyatIiLRl40MBcTKgW73oQPbobuJpj8azj5z0OyI0eH1cWbW+p4paSW3Q1mgoMCOG1MMhcUZzA1N44AWSQoBiEJ0kIIIfrUuoZ1/P7z3wPw5ClPMjllss4VHaGOKnjvD1C+FJLHwUX/hbQJelfVp7w+xRflrbxSUsPSnU24vD7GpZu465wxnDUuFVOYQe8ShehVEqSFEEL0CaUUL+15ifvX3092VDaPnfgYGVEZepd1+HxeWPtPWPYXCAiEuffBxCsgcGi8pTo9Xtbta2fpriaW7mqi0ewgJszAJVMyOX9CBgWpsrBSDB1D47deCCGErjw+Dw9seIAXS19kdvps7p15LxHBEXqXdfiad8Nb10DdRsg/DU5/GExpelfVq3w+RUVLN5uqO1hR1srnZS10Oz2EGgKZmRfP7eMLOGlUIiFBsnBQDD0SpIUQQvQqm9vGH1f8kRW1K/jF6F9ww4QbCNAGWI9gjwu+eARWPOhvZXfuEhhz7qDsyOHzKTbXdLKirIVN1R1sqenE4vAAkBAZwpmFqZxSkMi0YfEYDRKexdAmQVoIIUSvabI2sXDZQvZ27OW2KbdxwYgL9C7p8LissPVFWPNPaK/wh+fTHoDweL0rO6Ycbi+rK1p7pms009rtJECDEclRnFWYyvjMGI7LjCYnPnxgLgoVopdIkBZCCNEr9rTv4epPr6bb1c0/TvoHM9Jm6F3Sj9dVC+sXw8bnwNEJKUVw0Usw4jS9KztmlFJsre3i5Q01vLO1nm6nh4iQII4fkcCcgiRmj0jEFCqLBYX4IRKkhRBCHFM+5ePF0hf526a/ERkcyb9O+xcjYgdIT+WWPbDyr7D9VUDByDNg6jWQMXnQTOPosrl5fVMtr5TUUNpowWgIYN7YFM4qTGXqsDiZ6yzEYZAgLYQQ4pipNldz26rb2NS8iRlpM/i/af9HYlii3mUdWsNWWPEQ7H7H3wN68lX+ntAxWXpXdswopXh7az13vrOLNquLwnQTf5k/hjMLU4kyysizEEdCgrQQQoij9uUo9KMbH8UQYODOaXdyzvBz+v982rYK+HAR7P0IQqJg5u9hym8G3Rzo2g4bt765g+V7WijMiOa5yyYxNt2kd1lCDHgSpIUQQhyVLmcXN664kdX1q5mRNoM7pt5Bcniy3mX9MK8bVj8Gn98PgSFw4m0w6QowDq5w6fb6+Pea/Tz08R4A7jizgAVTswmUXQaFOCYkSAshhDhiZR1lXLfsOppsTdw25TbOzz+//49C122Et6+Dpu0w6iyY9yBE9vPgf5isTg8vbajhmS8qqeu0M3tEAnefM4b0mDC9SxNiUJEgLYQQ4oh8XPUxt666lQhDBM/OfZbChEK9S/phPh989hf44q8Qngg/fQFGnal3VcdUs8XBc6uqeGHtfswOD5OyY7nz7NGcODKx/3/AEWIAkiAthBDisLTaW3lh1wss2bGEwoRCHpn9CAlhCXqX9cO8bnj7t/6e0EWXwNx7B800DpfHx7LSZl7fVMtnpc14lWLu6GSunJXL+MwYvcsTYlCTIC2EEOJ7KaXY27mXDY0b2NqylW0t26jrrgPgvPzzWDRpEcGBwTpXeQguG7x2GZR9CCfcArP+OGBb2bm9PlosTprMDprMDtbua+etLXV02NwkRIZw+YwcLpyUSU58uN6lCjEkSJAWQgjxLQ3dDbxX+R7v7XuP8s5yABJDEylMLOSikRdxXOJxjE0Yq3OVP4K9A168CKrXwukPw8Rf6V3RIbV1O1lV0UZVq/VAYG40O2gyO2ntdqLUV+cGBwUwpyCJcyekM3N4PEGBA2zrdSEGOAnSQgghDlhdv5qntj3FxqaNAIxPHM+tk29lVvosUiJSdK7uMLVVwMs/g9YyOO8ZGPMTvSv6Th6vj437O1ixt4UVZa3sqO86EJZjwgwkRRlJNhkZnWIiyWQkOcpIsimExEgj2fHhRITIW7kQepHfPiGEELh9bv6x+R88s+MZ0iPSWVi0kHm588iIzNC7tMNnrofPH4DN/4YgI1zyKgw7Qe+qvqW128lL66v5z7pqGrocBAZojM+I5oaT85mVn8DI5EiMBtllUIj+TIK0EEIMcfXd9dy44ka2tmzl/PzzuXHijRiDjHqXdfisbf6OHBueBp8XJlwGs/7Q71rbbanp5PnVVby3rQGX18fMvHhuPb2AmfnxssOgEAPMUQVpTdOqAAvgBTxKqWJN02KBl4FsoAq4QCnV0XP+IuDynvOvVUp91HN8AvAcEAq8D1yn1NdngQkhhOgNn1Z/ym2rbsOnfDw460Hm5szVu6TD5/PChiWw7C5wdcO4C2H2TRCTrXdlBylrsnDfB6UsK20mIiSIiydncumULIYnRuhdmhDiCB2LEekTlFKtX/v3zcCnSqn7NE27ueffN2maVgBcCIwGUoFPNE3LV0p5gSeAK4G1+IP0XOCDY1CbEEKI72Bz23io5CFeLXuVgrgCHpr1EBlRA3AaR90mePcGaNgCuSfA3PsgcaTeVR2k2ezgr0vLeKWkhvCQIG6aO5KfTc2Suc1CDAK98Vt8NjC75/rzwHLgpp7jLymlnEClpmnlwKSeUe0opdQaAE3T/gWcgwRpIYToFVtbtvKnlX+ixlLDZaMvY+H4hf2/hd03Obpg2d2wfjFEJMK5S2DMuf2mrZ3H62NTdSdLdzXywtpqPD4fv5iWw29PHE5M+AD7by2E+F5HG6QV8LGmaQp4Uin1FJCklGoAUEo1aJqW2HNuGv4R5y/V9hxz91z/5vFv0TTtSvwj12SVlv6kAAAgAElEQVRmZh5l6UIIMbS4fW6e3Poki7cvJjksmWdOfYbi5GK9yzp8ZR/BO9eDpQEmXQEn3tovNlfpsrv5eGcjy/e0sGJvCxaHh8AAjdPGJPPHU0eQFSe9nYUYbI42SE9XStX3hOWlmqaV/sC53zVMoH7g+LcP+oP6UwDFxcUyh1oIIX6k+u56/vD5H9jeup2zhp3FokmLiAgeYHNzbe3w4c2w7WVIGOXf4jt9gt5VUd1m45lVlbxSUoPN5SUxMoR5Y1KYPSKB6XmygFCIweyogrRSqr7na7OmaW8Ak4AmTdNSekajU4DmntNrga9PwEsH6nuOp3/HcSGEEMfAitoVLFq5CJ/y8fDxDzMne47eJR0epWD3O/De78HeDsffBDN/D0Ehupa1cX8Hi1fs4+NdjQQGaJxZmMrPp2YzLt2E1k+mmAghetcRB2lN08KBAKWUpef6HOBO4G3g58B9PV/f6rnL28B/NU37K/7FhnnAeqWUV9M0i6ZpU4B1wALgsSOtSwghhJ/X5+XxLY+zePtiRsSM4JHZjwycBYU+H9Rv8gfo0nehrRySx8HP/gfJ+u6ouLen+8anpc1EGYO46vhh/HxqNsmmAdgyUAhxVI5mRDoJeKPnU3cQ8F+l1Ieapm0AXtE07XKgGjgfQCm1U9O0V4BdgAe4pqdjB8Bv+Kr93QfIQkMhhDgqrfZWbl55M+sa1jF/+Hz+NPlPA6M3tK0dVjwEO//nnwMdEATZM2Hab6HoEgjUb5pEs8XBo5/s5aX11YQH+7tvLJiaRbh03xBiyNIGarvm4uJiVVJSoncZQgjRr3h9Xl4pe4XHNj2Gy+filsm3MD9vvt5lHZpSsPUl+PgWsHfCyHkw8kzInwOhMbqWVtlq5dWSGp5fXYXT4+PSKVlce1IesdJ9Q4ghQ9O0jUqpb63Olo/RQggxSGxt2cpf1v6F3e27mZwymVsm30KOKUfvsg6ttRzeuwEqV0D6RDjjUUgeo2tJnTYX725r4H+batlU3UmABqeOTubGuSPJiZfuG0IIPwnSQggxwLXZ23hs82O8vvd1EkMTeXDWg5yafWr/X/Bmroe1T8C6/wdBoXDGI3DcLyAgQJdyLA43n+xu4r1tjawoa8Hl9ZGfFMGi00ZydlGazIEWQnyLBGkhhBignF4nL+x6gcXbF+PwOFhQsICri64m3NDPR0ybdsLqf8D2V0F5Ycx5MOduiEzq81K+KzwnRxm5dEoWPzkujdGpUf3/A4kQQjcSpIUQYoBRSvFR1Uc8svER6q31zE6fzQ3FN5BrytW7tO/ndcPej2HDEqj4FAxhMPFymPIbiMnu01K+LzxfMiWTM8alMD4jhoAACc9CiEOTIC2EEP2Y1+elylxFeWe5/9JRTml7KbXdtYyIGcHi6YuZkjJF7zK/X2s5bP4XbHkRrM0QkQwn3Q4TLoOw2D4tpd3q4i/v7eadrfUHjTyfPi5ZwrMQ4ohIkBZCiH6k0drI1pat7GjdwfbW7exq24XdYwcgQAsgMzKTEbEjuKrwKs7MPZPAgECdK/4eVatg+b1QtRK0QMifC8f9DIafAoF9+9ajlOKdbQ38+e2dWBxuLp6UyVlFqRKehRBHTYK0EELoyOwys6FhA2sa1rCmfg3VlmoADAEGRsWOYv7w+YyOH01edB45ppz+3wu6biMsuxsqlkFkCpz8Zyi8CCKTdSmnyezgljd28MnuJgrTTTxw3hRGJEfqUosQYmBRPkV7o5WG8q7vPUeCtBBC9DGlFKvrV/P8zudZ17gOn/IRGhTKxOSJXDTyIsYnjic/Jh+DjpuPHLbGHf4R6NJ3ITTWv3hw4q/AEKpLOc0WB/9dV82SLypxeXzcMm8Uv5yRQ6CMQAshvodSitaabmr3dNBQ3klDeRcOq/sH7yNBWggh+ojb5+bDyg95budzlHWUkRiayOVjLmda6jQKEwoHVnD+Um2JfyfCsg8gJApOuMW/gDCk70d9lVJsrunk+dVVvL+9AbdXceLIRG4/o4Bs6f0shPgODqubmt3tVO9so3pnOzazCwBTQijZhfGkDjeRMjyahU9+9/0lSAshRC9rs7fxRvkbvFT6Ek22JoZHD+eu6Xdxes7pAzM8K+Wf+7ziIaj83L/z4Ow/weQrdduFcN2+Nu75oJStNZ1EhgRx6ZQsFkzNls1ThBAH+XLUef/ONqp3ttG4z4zyKULCgsgsiCVzTBwZo2IJN4X8qMeTIC2EEL1AKcXm5s28vOdlPt7/MR6fh0nJk7h96u3MSJtBgKbPpiNHpXWvv/fz9lehfR+EJ8Ipd0HxZbqMQAPUddq55/3dvLetgVSTkbvOHs3849KJCJG3NyGEn9fro660g/JNzezf0Yatyz/qnJAZyYS5WWSOjiMpO5KAwMN/XZZXGiGEOMZW1a3i0U2PUtpeSqQhkp+O+CkX5F9AbnQ/7vP8faxtsO1l/6VhC6BBzkyY8TsYe55uc6DtLi9Prqjg/31eAcD1J+dx1axhhAb30y4mQog+5fP6qN/byd6Nzezb1ILD6ibYGEjmmDiyRseRUfD9o84+pxNnWRmOnbtw7NyJY9eu7/0+EqSFEOIY2de5jwdLHuSLui/IiMzgjql3MC9nHmGGML1LOzw+L+z7DDb9G0rfA58bUgphzl9gzLkQlaJLWbUdNj7b08Lne5pZVd6G3e3ljHEpLJo3irRofQK9EEJfSinsFjcdjVZaa7tpq+2mtbab9gYrXrePoJBAcsbFM3xCIpmjYwkyfPvDtnK5sG3egnX1aqxr1viDs8cDQIDJROjogu/9/ppSqteeXG8qLi5WJSUlepchhBB0Ojp5fMvjvFr2KmFBYVxVeBUXjbyI4MBgvUs7PNZW2PgsbHweumr83TcKL4TxP4Ok738j6Q1en2Jvs4WtNZ1sqeliQ1U75c3dAGTEhnLCiETOLkplQlbfbuoihOh7Sikc3W7MrQ7MbXYsbQ46mmx0NlrpaLThtHkOnBsaaSAuLYL49AiSc01kjonD8I2/VHm7rTh2bMe+ZSu2TRuxbShB2e0QGEjouHGEFRdjHD0a45jRGNLS0DQNTdM2KqWKv1mbjEgLIcQRUkrxzr53eHDDg1hcFs7LP4+ri64m1jjAwl3DVlj3JGx/DbxOyD0B5twFI+ZB0I9bcHO0XB4fW2o6WV3RypqKNrbXdWFzeQGIMgZRlBnDhRMzOGFkIrnx4WiatLETYjBSStHVYqep0kxzlZmmKjPt9VbcTu9B54VFBROTHMbw4iRiksKISQ4jLj2CsKjgb70+eC0WrGvWYF21GvvmzTj37vUvmgaCc3OJnj+f8OnTCJs0icDIw1vvIUFaCCGOQI25hjvX3snahrUUJRRx+9TbyYvJ07usH8/n87esW/0YVK8BQ7h/58FJV0FCfp+UYHa4eWtzHR/vaqKkqgO724umwZhUExcUZ1CUEU1hRjTZcWESnIUYxGxmF9W72ti/o43a3R0HejcHBQeQmBXFyGkpmOJDiYwzEhUfSlS8kWDj90dY5fPh2LUb6xcr6V75BfYtW8DrJSA8nNDjjiNyzhxCCwsJHTeWQJPpqGqXIC2EEIfB7rHzYumLPLHlCQIDArl18q2cP+L8gdOFw+OErS/5A3TbXjBl+uc+j78UQqN7/dt/2ev5xXXVvLOtHofbx/DECH46MYOpw+KYkhOHKWwAtgQUQvxoDqubpkozjfu6qN7ZRnO1BRSERgWTPTaO5GEmknJMxKaE/ehOGp62NqyrVtG98gusq1bhbW8HwFhQQNyvfkXEzBmEFhaiGY7t64sEaSGEOASX18UXdV/wYdWHLK9Zjt1j58SME/nT5D+RFJ6kd3mHphQ07fAvHCx5BrqbIHkcnLsECs6BwN5/K3B6vLy5uY5nV1VR2mghLDiQ+ePTuHhSFmPTj25ESAjRfymfor3BSkNFF037umisNNPZZANA0yAxO4rJZ+aQNSae+PQItB+x+6i3qwtH6R4cO3bg2LkD+46duKurAQiMjSV8+nQiZs4gfNo0guLje/X5SZAWQoivsbqt7Dfvp9pcTZW5iorOCr6o+4JudzemEBOn557OvJx5TEyeqHepP8zjgqoVsOdDKPvQv3gQDYadAD95CnKO97+L9bJOm4v/rKvm2VVVtHY7GZkcyV/mj+HsojTp9SzEIORxeWmqMtNQ0UVjRReN+7oOLAYMjTSQlGNi5NRkknNMJGRFfu8UDW+3FWdZGc49pTgrK3HX1eOuq8NdV4fPYjlwniE1FePo0USfdx7h06ZhLBiFFtB3fyGUVzEhxJDn9rr5aP9H/GfXf9jRtuOg25LCkjgp8yTm5sxlcspkDAH9eNqB1+PfaXDn/2D3O+DoAkOYf/Hg8TdC3qkQ2fsj6D6fYlN1B29tqee1jbXY3V5m5Sdw5cxcpg+Pk/nOQgwSyudfGNha201jpT84t1Rb8Hn9C/liksMYNj6B5GHRpAw3YUoI/c7ff5/DgWPnTuxbtmDfug1HaemBEWYALSyM4LQ0DGlphE2YgCE1lZD8fIxjRhMUo89uql+SIC2EGLI6HB28WvYqL5W+RIu9heyobBYWLSQ3OpesqCwyIjMIDRoA/YnrN/t7Pu96E2xtEBwJo87wT9vIPb5PNk35cu7ze9saeH97Aw1dDoKDAjhjXApXzMxlVEpUr9cghOg9LoeHtjorbbUWWnt6NbfVW/H0dNMIDAogMTuSopMzSBkWTXKuCWPEtwcelMeDs2Ifjt27cOzchX3bVhy7doPbv8DQkJmJcdQoouefQ8iIkRhHjiAoJaXffgCXIC2EGHLKO8p5YfcLvLvvXZxeJ9NSp3Hn9DuZljpt4CwadFr87eo2PutvXxcUCiNO82+YMvxkMBj7pAylFB/vauKRpWWUNloIDgxgVn4CN582kpNGJcn0DSEGII/LS3O1haZ9Zpqqumip6cbcYj9we3BoEPHpERRMSyEu3d+zOS41gkDDwa+f/h0C9/pD865dOHbtxrlnD8rpBEAzGjGOGU3cL35O6PjxhBYWEhQX16fP9WjJK5wQYkjwKR9f1H3BC7teYE3DGkICQzhz2JlcMvIShscM17u8H6erDqpWwr7l/qkbrm5IHA3zHoJxF4Cx7xbtKaVYvqeFvy4tY3tdFznx4Txw7jjmjk0mytiPp78IIQ6ifIrOZltPz2YLTZVdtNZ04/P5p2dExRtJyIhk5JRkf2BOjyAy1njQCLHP6cS1rxxr5T6cFRW49lXiLC/HWVHx1Q6BEREYCwqIuegijKMLMBYUEJydjRb47Z0GBxIJ0kKIQU0pxbKaZfx909/Z17WPxNBErjvuOs7LO49oY++3eztiXg+0lkHDFqjdAJUroK3cf1toDBScDRN+AekT+2TRIPgXDm6r7WJrTSefljazpaaTjNhQHjxvHPPHpxH0I9tUCSH0Y+1yHtjopKnSTPN+Cy67P+wGhQSSmBlJ0SmZJOdGkZRjIiwqGKUUnpYW3LU1uL+oobW2FndNLa7aGtw1tXiamg76Hoa0NIJzc4k4/niMBaMwFhRgSE/v00WAfUWCtBBi0NrSvIWHSx5mS8sWckw53DfzPuZkz+mfCwaVgtoS/0LB2hJo3A6enj+lBkdC1jSYcBnkzIKkMdAHb0gNXXa+2NvK6oo2NlV3sL/NduC2vMQI7pk/lvMmpBMcNPjeHIUYDLxeH6013TRWdNFQ0UlTpZnujp5pFQEacWnh5BUnkpgdRUJyMOHuNrz1dbhrtuN6p5a2mhoa6mpx19ahHI6DHjsoORlDehrhU6diSE8nODubkGG5BGdnExA6ANaWHCMSpIUQg4ZP+ajvrqeyq5LX977Op9WfEh8az+1Tb2f+8PkEBfTDl7yuWv8GKVtf9I84Bxkh9TgovgxSiiClEOLzIKD3//zp9vpYVd7KZ6XNrCxvZV+LFYD4iGCKs2L56cQMitKjGZNukukbQvQzLruHjkYbHY1WOhqtB0acPS4fAJFxRpKHmYiPUUR7mglvLcNbWYF7Ww2u2lpa29po/drjBYSFYcjMJCQnh4gZMzFkpBOckYEhPQNDWioBISH6PNF+ph++qwghxKFZXBZ2te1iR+sOdrfvprKrkv3m/Ti9/tGWsKAwrim6hgUFCwgzhOlc7dc4LVCzDqpWwf5VULMeUJA1HaZf75+yYey7Dhcuj49VFa28v62Bj3c10WV3E2oIZHJuLBdPymT68HhGJkf22xXzQgx2HreX7nYnlg4H3e0OLO1OHN1uHFb/xWl1Y+1yYe10HrhPgKYwhbnJDjcTG9KEqbsKQ1kNrg8q8NlsuAAX/h7MhsxMIk88AUN6BsEZ6RjS0zFkZBAYHS2/9z+CBGkhRL/j8rpos7fR5mij1d560PVWeyt7O/ZSZa46cH5aRBrDoocxNWUq2aZsckw55MfkExkcqd+TAP90jfZ9ULfRP12jdr2/w4bygRYIqePh+Jug8EKIzenDshQ76sy8UlLD21vr6bK7iQwJ4pSCJOaNTWFGXjxGw8BeACTEQOLz+ujucNLVYqej0UZno5WOJhsdjbaDAvKXQowBBBsUwQFugn1O4lwW0m37CandTVjHfoyOVgKUDwICCIyNJSgujsC4OEzz5xMyIh9jfj7Bw/MIjAjX4dkOLhKkhRC6quuuo6SxhJKmEra3bKfZ3ozFZfnOcyODI4kzxpFjyuGM3DMYEz+G0XGj+8+iQbcD6jf5R5qr1/rDs6PTf5sh3B+cZ/7BP985fSKERPRpec1mB+9ua+CVkhpKGy2EBAUwd0wyZxWmMiMvnpAgCc9C9BaXw4O51U5Xix1zi4OuVjvmVjvmFhvmNgfK99W5QZqHSK2bGE8HqY5WQqzNhHTWE9xeS4ijgwDlPeixA6OjCcnLI+SEfELyzyAkP4/gzEz/qPIA74rR30mQFkL0GaUUtZZaSpr8wbmksYR6az0AUcFRjE8cz6SUScQZ44gPjScutOerMY7Y0FhCAvvZnDynxT81Y/9q/6VuI/RMLSGxwD9NI70Y0iZAwsg+mef8peo2Gxuq2iltNFPaaGF3g4XWbn9thekm7j5nDGcWpmIKlbnOQhxrdouL5qouGnc30lzRQWuTC5vj4EW5BpyEujowmhvItDYT6mgl1N5CmL0ZoxGCTCYCv7wkmAiMHk2gaRqB0SaC4uMJSkz0XxIShtTivv5GgrQQotcopagyVx0IzSVNJTTbmgGINcYyIWkCC0YvoDipmLyYvP69GYrPC20V0LgN6jZB9Wpo2AbK2zNNowgmXeGf65w5BcJi+7Q8p8fL+sp2PittYXlZ84GFgiFBAeQnRTJ7RAIjkyOZkRfPyGTZZVCIo+H1+jDvb6GjoonO6ja6mqyYO1x02wKwekJwa1996A+zNRFpqSbZWkeYo42wADsRBich4cEY0tIIGZ1DcPZkgnNyCM6SUeSBRoK0EOKYUUpRbalmbf1aNjRtoKSxhDZHGwDxofEUJxX7L8nF5Jpy++9CFrcDmnf5Q3PDNv/Xpp3g7mn/Fhjin5ox8/eQNRXSJ/X5NA27y8vmmg42VHawvqqNTfs7sbu9BAcFMCU3jp9NyWL68Hhy48Olv7MQh6C8XrxmM96OTjwdHdiaO7E0Wehu889Rtlp92OwadrcBmwrFHhiJ+loXIM0XgtHZTZjXTEqQk8gIiE80kJAbQ3hWBob0KRgSE9HCwvrv6544IhKkhRBHpcvZxdqGtaypX8Oa+jUHpmokhSUxJXXKgfCcFZXVP99A7J3+ns2N278Kzq17wOffoICQKEgeC8f9HFLG+a8njITAvpkSYXG4KW/upqrNSmWrjcpWK5Wt3exptOD2KjQNRiVH8dOJGczKj2dqbjyhwTKaJYYu5Xbj7fQHYm9np//S0Xnguru9E1uXA6vFS7c9AKvHiE0Lx26Mx2mMwRkSjS/AAET2XEBTXkK8VkI1B9HBNjIi7ETFh2BKiSI2O56oYakEJyagBUmsGmrk/7gQ4rC4vW62tmxldf1q1tSvYWfbThSKCEMEk1Mm88sxv2Rq6lQyIjP6V3BWCiyNXxtl3ur/2rn/q3MikiB5HIyY6/+aMg6is/tk8xOXx0dFSzdlTRZKGy2UNfq/1nXaD5wToEFaTCjZceH8cnoOk3NjmZAVK/OcxaCjlELZ7Xi7u1F2Oz6brefytet2G8pmw9vVhbu+AXd9Pa6GBmydDuzBsThC47Ab47Ab43EYY3EFm3CFpOIJ6mmH+VVOxhjkJiLUR3RkIOGmYCLiwohMjiQyNYaolGjCTCEEBPSj1zPRb0iQFkIA/s1MzE6zv8Wcw99y7rtaz9VYarB77ARqgYyNH8tvCn/D1NSpjIkf0382PPF5ob3yq7DcuM0/4mxt+eqc2Fx/F40JP4fkQv9Ic2RS75fmU9R22CltNH8Vmpss7Gux4vEpAIICNIYlRDAhK4aLJ2eSlxhBbkI4GbFh0llD9HtKKXxWG972NjytbXjb2/yB2OlCuVwolxOf04mv24rPYsZrthz46rWY8ZkteC0W8HgOPKY3wIDbEI7bEIE7KLznuv/iMkbjjBqBI3IaNlMkPg7+HQkLDyAyJoTYuFDCo0MJjQomLCqYcFMIUfGhRMYbMchfccQR6ifvekKI3uT0Oqkx17DfvJ9Ks3/jkvrueswuMxaX5f+3d++xkqR3ece/v6rq6suc687VO7MXe3Z211eMvRrbihOZJWtZXISdTYg3UYwByYqEoyBhJK5RIIg4UZQIAjIyDthGCIMxFotjQiwEwhjk2OuNsI3J7trYu7OX2Z2dOffTl6r65Y+3+pzqM33m0jNzus/085F666233qp6T2+pzjPvebuale4Ka901HL9o3zRKOdQ8xKHmIW6duZX7jt7H6Zec5vSx0+N7TnN3I3wj4PKTYbn0FCw/tV1eeTp8CBAgqsGRe+HUW7dHmY++as++9GSl3eMLf3+ev/r6izzyrQs8dnaVje72o6tOLDa599gs//jlR7nn2Cz3HpvjpYcO6Gu35YZxd7zbDaO66xv45kZlxHdjq75ob+LdXgi/vcqyN1hXrK2Rr61RrK6G8soK3rn42ccADmRJk15ygOzAIvncIbKZg+Stk/QOzpEdm6GbtOhZgy4p3SKh04vIi91Hg9NmzNyhJkcONpk71Ajh+GCD+cNNZm9pkCgkyw2kIC1yEym84Om1p3n8wuM8fuFxHrvwGI8vPc6TK0+SV547erh5mOMzxznWOsaphVPMprPMprMs1BcGHzvXPMhsbY++1c4d2suwdja8Vsvl2nOw9nyYlrH2fFjfvDC4r8UwdyvM3xaemLFwGyy+NITmw/dCcmMfm9fJcp5f6fD8apvnljucXWnz9NImX/zWBb58ZonCIU0iXnvbAt9/323cc2yWe47NcvfRWWbqug1L4FmGd8JorXc6FO12CKz9cqeLd9rl9l3K7Q7F5iZFGY59vRKOK1MkyPPLd6gqSbBaDUvTsKzVsDQsOTBLNnuE3rGX02vM00nn6dbn6CYH6HiDdpbQ7kCnXdDezAeelzzAoFGv0Zip0TiQsHCgRuNAuT5TlnfWtWrENf2jU8ZHd3CRfcjdObtxlieWnuCJC0+E5dITfGP5G2xm23NqT8yc4O7Fu3ngjgd42fzLuHP+Tu6YvYOZdG+fMIF7CL/9ILxaBuTlp2HpyTCavPQkdFYu3jeuhykXM0fh4MnwZSZzt8LC7TB/IoTn2ZdAfP1uZ7284MJGl+WNHhc2epVyN6yvdzm72ua55TbPr3Y4v9696BhpEvGa4/O89zvu4o0nD/K62xf1bYH7QH+01tvtrUBbDbdb5XYnTFHoB9zupcJuOJ53OhTdXcqdztWH2x2sXsfqdaJWi6jVgmaLorVAfvgI3pwhr7fw+gGKtElRa1IkDfI4pUhS8iilsITcEnKPyTyMAmc55D0n6xX0ugV5L6coHM+donDyzOlullMw+t87XUobMa35Oq25lINHa9QrYbg5UwnEZV3aSjQPWfYdBWmRCbPR2+BC5wJL7SXOt89zoXOBC+3werH9It9c/iZfX/o6q73tb/873DzMyYWTPHjqQU4tnuKuhbu4a+EuWrXWje1snoV5x1vhuD+a/NzFI8v5kD/1prMhEC/cHgJyPxT3g/PMUWjMw3UYEXd3VjYzXljr8MJqh3Pl8uxKm+dWQig+u9Lm3FqXtU6263FqsbHYSjk61+DEYovX37HI0bkGx+YaHJmrc3SuwdG5Bout2mR92HJCeZ6HkdheBlkvlPuvXg8G1jM8q9R1u4OhdiDglsG3Ui46/aC7S7kcAb4mSUJUBlpr1InSwXI8P48dOQy1BkWjRVFrUCRNirRBkdQp4jp5XCePa3hcw6MaRZzgUUJOgkcxhcUURDgxWWF0u063U9DdzOhs5nQ3enTaOVmnEszb5WtXBRb1qKU5SRqTpFG5jKmlEc3ZlNk0Ik4iotiIIsPiiCgyGjM1WuW84+pLUypkGkxMkDaztwG/BMTAh9z9/WPuksg1K7xgtbsagnDnAufb51lqL22V+wG5Gpbb+fDfdkmUsFhf5Pa52/mul30XpxZOcXLhJHct3HX9viI760BnLYwMd9fCN/etPb8jFFdGlNfPwZB51TQXYeZYCMR3vCkE4tlj2+G4X67PXhSSi8LZ6OWsdzLW1jI2z6+QFU6WF/RyJysKstzp5QVZEZa93NnsZmx0cza6OZu9nOWNXgjLax3OrXY4t9alm1/8N+U0jjg6X+fYXINXHZ/n8GydxVbKQqvGQitlsVXbWl9spbTSeOwB2d2h1xsInEPD6M7gOayu19+2o27r+GV9r3KM3eoG1ofUVfrc7z8+5Pq5DqzRCKOz/VBbT7F6A+pNaM7g84fwtAn1BlarQ62OpQ08SfFaHZIUT2oUSR2Pk1AfhUBbxAluCYVF5MTkRX/01sgzJ+vm9LoFWTcn65XLbk5WqSs2HTYv/3OU/8eBXvkKosSI44gkjcu7JtgAAA3ySURBVEibCfVmQtpMODBfJ20mpK2yrhHqa/VqOI6o7QjLSRoR63njIldtIoK0mcXArwIPAGeAL5jZw+7+t+PtmUwzd6edt9nobbCZbW69NrINNnvb5ZXuCkudJZbaS2HZf7WXWO4uU+wyIbCZNFmsL7LYWOSWxi0hENcXttb72/qvS85VLvIwdWLjxRBu20shEHdXy2C8WgbjSl0/KFfrit7w40OYhzxzFGaOwPxxOP46fOYo+YEjdBpHWE8PsV47yHK8wHqesNbJ2OhmrHVyNjoZ66sZ6y+GgLzeXWO9s1SWM9Y7OWudjPVONvBBvFGYFzQTY74ec6SVcLSV8MpjNQ43GxxqJhxqRCw2Ym5pxCykEXM1g/6oaJbh2WZY38zx1V65LWzv5RlLWYZnOeT99jmeZ2UIDe3CtvKYeQYD5R377AifZL2L63qDI7XXOgXgikVRmAObJFhSw2tpeE5urba17kk9hMwkhaSFt2p4UsPjNIyoxjU8CQE0jLD2ywlFlFBYjFuCW0wRxRQWRloLYtwiCiIKLCw9wjEKr7ww3I2igLwwCocid4qs2Jp6UGRFqCt2hPYdUxEuLytfg8wgqZeBtBZtjeImaUzjQEKyWN+q74fXWhoR17bbbW2rtIuTwVeU2NaI8Lj/MSciwUQEaeA08IS7fwPAzD4GfB+gID3l3J3Ci/CiIC/yrXJRlEsP9Y6Te75VXy0XHtbdQ5uN3gbPrj/LM2vPbC2Xu8sDAbmdtYc+xWKYNKqxkM6Vr1lOtV7CwtxdzCctFpMWC3GDxbjBYlTnlqjOYlSjnhfQa+PdTbzXplhvU1xYo+i9UH4ivk3R6+C9NvTarPa6FN02nnWxXg/Pw9KyNlFnHXcDh8Jj3MHL0BFCRkweNehZSkaDzOr0SMk5TM+O0yMlKxIyEjpeI/OYXh7T9Zh2kbJZpLSLGC+cIi8o8gKKAoplzJcwf4zYC8wpYw/E7piDUZA4LOAcMogt3HhiQjnCiWD7ZZT79feH8gcCDHMvBzEdirDN8TBo545jgIFZWaZSNjBYxljGcCvrYKs8rG67HiDCjUpdtL0tSvAoCs+djlKwBh7FYd2iULaw3S3UUY+gYWG/si5ss+02ZdnLn4tK2Rnsd/9n9ovK4S0bKPv23xO23mIv5wn3t1cbXQ1nO3cOf4DDriwy4tiIytAYx0YUDwbJKI6IEyOJw8js0LZx2TaJyvrqMcP+w9puHafSttpmuw9GksYKtiJTbFKC9HHgqcr6GeANl9rh3DfP8+s/+DtDtlzqZjbKje7K9/FKax+lH5c81Y3te9Ul+242/JfqHvb9kr/TL/nLbOe2lIQ7uY07uW2EflzpedbL19MDmy4+rvfrzXaUQ3AamQE7pyr6LuV++5APB1ztzaI6ZnqJce6J1s/RVq5sr1uZbw2L+vVhaf1lZOX/wkr9sLbRdpt+fVQ91442Fv5zUd3W/sPqI8P6P09kF203Mxiy3/Cfga3Q2A+0/VBZDZgD9TvWo2qIrezXD6qmD5yJyD4xKUF62F3zorxkZu8B3gNwxy3HiYozQw906cGT3bfu3olR5/Dt2M+GFrdamm/vMvyMldor/D1j16vvlz/RZQ535cezIStWqeiPsVXXBpt7pWw7tm0fJcGI3Qaytw+0tB31lTPY4NFCG6vsYpURwTBa6BaVSwtjsP2RySgK0ybK9RBeyg/zbIWvsIyi/no0sB7FcbkMH/6Jkjgso6gcjYuxOCqDSliPk6jcHraZRWEZGSRxWE+iwWVUvuf9gVHbDlpbdZShjGHbB8PoxcfZDmkX1Vn/30k7Qma/rgz+A+fYOtb2MSAExHK37WPv7K+IiMhlTEqQPgMDg4IngGd2NnL3DwIfBLjvvvv8hz/y43vTOxERERGRHSblI7pfAE6Z2UvNLAXeCTw85j6JiIiIiOxqIkak3T0zs/cCf0KYzfkb7v7VMXdLRERERGRXExGkAdz908Cnx90PEREREZErMSlTO0RERERE9hUFaRERERGREShIi4iIiIiMQEFaRERERGQECtIiIiIiIiNQkBYRERERGYGCtIiIiIjICBSkRURERERGoCAtIiIiIjICBWkRERERkREoSIuIiIiIjEBBWkRERERkBObu4+7DSMxsFfh/N+jwh4BzO+rmgeUbdL4rNe4+jPv8k9CHKzn/sOtnr/twI437/JPQh+t5/lGvl5vpPVAfRnej7zdXYtzvwbjPPwl9uNLz38jrZb+8B6O6x91nL6p19335Ar64l8cGPjgBP/NY+zDu809CH67k/Dfy2twv78HN3ofref5Rr5eb6T1QH67p/Df0frNP3gNdB1d4/hucnfbFe3ANxx/63mlqx5X7o3F3gPH3Ydznh/H3Ydznh/H3Ydznh/H3Ydznh/H3YdznB/VhUoz7PRj3+WH8fRj3+WH8fRjL+ffz1I4vuvt9++3YcvPT9SNXQ9eLXAtdP3I1dL2Mbrf3bj+PSH9wnx5bbn66fuRq6HqRa6HrR66GrpfRDX3v9u2ItIiIiIjIOO3nEWkRERERkbFRkBYRERERGcFUBmkzczP7rcp6YmYvmNmnxtkv2V/M7B3ltXTvuPsik0n3GrlezGxt3H2Q/eVy14yZ/bmZ6YOH12gqgzSwDrzKzJrl+gPA01dzADNLrnuvZL95CPhL4J1Xs5OZxTemOzKBrvleIyIik2tagzTAHwPfXZYfAn6nv8HMTpvZX5nZo+XynrL+3Wb2cTP7I+B/732XZVKY2QzwD4AfpgzSZvYWM/sLM/ukmf2tmf2amUXltjUz+3kz+zzwpvH1XMZglHvNZ83stZV2nzOz1+xpr2XilPeYT1XWf8XM3l2Wv2lmP2dmXzKzL+svZQKXvmbk+pjmIP0x4J1m1gBeA3y+su3vgH/k7t8O/DvgFyvb3gT8gLvfv2c9lUn0duB/uftjwHkze11Zfxr4MeDVwEngn5T1B4CvuPsb3P0v97y3Mk6j3Gs+BLwbwMzuBuru/jd71mPZr865++uADwDvG3dnRKbB1Abp8pfSnYQRok/v2DwPfNzMvgL8N+CVlW2fcffze9JJmWQPEQIS5fKhsvx/3P0b7p4TRh7fXNbnwCf2tosyCUa813wc+B4zqwE/BHx4Tzor+90flMtHCNeciNxg0z7P92HgvwBvAQ5W6v8D8Gfu/g4zuxP488q29T3qm0woMzsI3E+Y++pADDghJO18MHt/vV2Ga5lOV3WvcfcNM/sM8H3A9wP6QJAAZAwOgDV2bO+Uyxz9fpfgcteMXKOpHZEu/Qbw8+7+5R3182x/IOjde9oj2Q/+KfBRd7/D3e9099uAvyeMPp82s5eWc6P/OeHDiCKj3Gs+BPwy8AX9FUxK3wJeYWZ1M5sHvnPcHZKJp2vmBpvqIO3uZ9z9l4Zs+s/AfzSzzxFGG0WqHgI+uaPuE8C/AP4aeD/wFUK43tlOptAo9xp3fwRYAX5zD7ooE6x8SlTH3Z8Cfg/4G+C3gUfH2jGZWLpm9o6+IlzkOjGztwDvc/fvGXdfZP8zs1sJUz3udfdizN2RMTKzbwN+3d1Pj7svsj/omtk7Uz0iLSIyiczsXYSne/y0QvR0M7N/Tfjg8s+Muy+yP+ia2VsakRYRERERGcFUjEib2W1m9mdm9jUz+6qZ/duy/hYz+4yZPV4uF8v6B8zskfKh9o+Y2f2VY72+rH/CzH7ZzGxcP5eIiIiIjM9UBGnC419+zN1fDrwR+BEzewXwE8Cfuvsp4E/LdYBzwPe6+6uBHwB+q3KsDwDvAU6Vr7ftzY8gIiIiIpNkKoK0uz/r7l8qy6vA14DjhGe0fqRs9hHCt9Xh7o+6+zNl/VeBRvnomJcAc+7+1x7mxHy0v4+IiIiITJepCNJV5ZcefDvhgzxH3f1ZCGEbODJklweBR929QwjfZyrbzpR1IiIiIjJlpuqbj8xshvC83x9195XLTW82s1cC/wl4a79qSDN9WlNERERkCk3NiLSZ1Qgh+rfd/Q/K6rPldA3K5fOV9icIX6bxLnf/ell9BjhROewJ4BlEREREZOpMRZAun6zxP4Cvuft/rWx6mPBhQsrlH5btF4D/Cfyku3+u37ic/rFqZm8sj/mu/j4iIiIiMl2m4jnSZvZm4LPAl4H+lxv8FGGe9O8BtwNPAv/M3c+b2c8APwk8XjnMW939eTO7D/gw0AT+GPg3Pg1vooiIiIgMmIogLSIiIiJyvU3F1A4RERERketNQVpEREREZAQK0iIiIiIiI1CQFhEREREZgYK0iIiIiMgIFKRFRG4yZvbvzex9l9j+djN7xV72SUTkZqQgLSIyfd4OKEiLiFwjPUdaROQmYGY/Tfi21aeAF4BHgGXgPUAKPAH8K+C1wKfKbcvAg8D9O9u5+8Ye/wgiIvuOgrSIyD5nZq8nfOPqG4AE+BLwa8BvuvuLZZtfAM66+383sw8Dn3L33y+3HRzWbs9/EBGRfSYZdwdEROSa/UPgk/1RZDN7uKx/VRmMF4AZ4E922f9K24mISIXmSIuI3ByG/Xnxw8B73f3VwM8BjV32vdJ2IiJSoSAtIrL//QXwDjNrmtks8L1l/SzwrJnVgH9Zab9abuMy7URE5BIUpEVE9jl3/xLwu8D/BT4BfLbc9LPA54HPAH9X2eVjwI+b2aNmdvIS7URE5BL0YUMRERERkRFoRFpEREREZAQK0iIiIiIiI1CQFhEREREZgYK0iIiIiMgIFKRFREREREagIC0iIiIiMgIFaRERERGREShIi4iIiIiM4P8DFHOqIfv3R2QAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_regioes.plot(figsize=(12,7));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Gráfico de Colunas\n", "\n", "O gráfico de colunas é formado por uma coleção de colunas, com bases de mesmo comprimento, e igualmente espaçados. O eixo horizontal do gráfico consiste das diferentes categorias consideradas, e o eixo vertical é proporcional ao valor do dado. Podemos criar gráficos em colunas utilizando o argument `kind` do método `plot`. Assim, para criar um gráfico de colunas, basta utilizar `plot(kind = 'bar')`. Também podemos criar estes gráficos utilizando o método `plot.bar()`. As duas formas são equivalentes." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_dict_series.plot(kind = 'bar');" ] }, { "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": [ "df_dict_series.plot.bar();" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Também podemos \"empilhar\" as barras para cada *index* utilizando o argumento `stacked=True`:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_dict_series.plot.bar(stacked=True);" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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nMzPrgHbXECJiTkRUR0QN2c7i+yPiLOBuYGaabCZwV3p9N1CXjhwaSbbz+NG0WWm7pMlp/8A5rca0zGtG+jf2WEMwM7N3TilrCHszD2iQNAtYB5wJEBGrJTUATwE7gQsi4q005nxgATAQuCc9AG4EbpG0lmzNoG4f+jIzsw4oKxAi4kHgwfR6MzB1L9PNBeYWqTcCY4rUm0mBYmZm+fCZymZmBjgQzMwscSCYmRngQDAzs8SBYGZmgAPBzMwSB4KZmQEOBDMzSxwIZmYGOBDMzCxxIJiZGeBAMDOzxIFgZmaAA8HMzBIHgpmZAQ4EMzNLHAhmZgY4EMzMLHEgmJkZ4EAwM7Ok3UCQNEDSo5J+JWm1pK+l+hBJ90l6Lj0fXDBmjqS1ktZIOqWgPlHSE+mzayQp1ftLWpzqyyXVdP5XNTOztpSyhvA6cHJEHAeMB6ZJmgzMBpZExChgSXqPpNFAHXAsMA24TlKfNK/rgXpgVHpMS/VZwNaIOBK4CriyE76bmZmVod1AiMwf0tt+6RHAdGBhqi8EzkivpwO3RcTrEfE8sBaYJGkYMCgilkVEADe3GtMyrzuAqS1rD2Zm1jVK2ocgqY+klcBG4L6IWA4cFhEbANLzoWny4cCLBcObUm14et26vtuYiNgJbAOGFumjXlKjpMZNmzaV9g3NzKwkJQVCRLwVEeOBarK/9se0MXmxv+yjjXpbY1r3MT8iaiOitqqqqr22zcysDGUdZRQRvwceJNv2/1LaDER63pgmawJGFAyrBtanenWR+m5jJPUFBgNbyunNzMz2TSlHGVVJend6PRD4K+AZ4G5gZppsJnBXen03UJeOHBpJtvP40bRZabukyWn/wDmtxrTMawZwf9rPYGZmXaRvCdMMAxamI4X2Axoi4seSlgENkmYB64AzASJitaQG4ClgJ3BBRLyV5nU+sAAYCNyTHgA3ArdIWku2ZlDXGV/OzMxK124gRMQqYEKR+mZg6l7GzAXmFqk3Anvsf4iIZlKgmJlZPnymspmZAQ4EMzNLHAhmZgY4EMzMLHEgmJkZ4EAwM7PEgWBmZoADwczMEgeCmZkBDgQzM0scCGZmBjgQzMwscSCYmRngQDAzs8SBYGZmgAPBzMwSB4KZmQGl3ULTrKLUzP5J3i3wwrzT8m7BKpDXEMzMDHAgmJlZ0m4gSBoh6QFJT0taLenCVB8i6T5Jz6XngwvGzJG0VtIaSacU1CdKeiJ9do0kpXp/SYtTfbmkms7/qmZm1pZS1hB2Av8UEccAk4ELJI0GZgNLImIUsCS9J31WBxwLTAOuk9Qnzet6oB4YlR7TUn0WsDUijgSuAq7shO9mZmZlaDcQImJDRDyWXm8HngaGA9OBhWmyhcAZ6fV04LaIeD0ingfWApMkDQMGRcSyiAjg5lZjWuZ1BzC1Ze3BzMy6Rln7ENKmnAnAcuCwiNgAWWgAh6bJhgMvFgxrSrXh6XXr+m5jImInsA0YWuTfr5fUKKlx06ZN5bRuZmbtKDkQJB0I/BD4x4h4pa1Ji9SijXpbY3YvRMyPiNqIqK2qqmqvZTMzK0NJgSCpH1kY3BoR/5HKL6XNQKTnjaneBIwoGF4NrE/16iL13cZI6gsMBraU+2XMzKzjSjnKSMCNwNMR8Z2Cj+4GZqbXM4G7Cup16cihkWQ7jx9Nm5W2S5qc5nlOqzEt85oB3J/2M5iZWRcp5UzlKcDZwBOSVqbaZcA8oEHSLGAdcCZARKyW1AA8RXaE0gUR8VYadz6wABgI3JMekAXOLZLWkq0Z1O3j9zIzszK1GwgRsZTi2/gBpu5lzFxgbpF6IzCmSL2ZFChmZpYPn6lsZmaAA8HMzBIHgpmZAQ4EMzNLHAhmZgY4EMzMLHEgmJkZ4EAwM7PEgWBmZoADwczMEgeCmZkBDgQzM0scCGZmBjgQzMwscSCYmRngQDAzs8SBYGZmgAPBzMwSB4KZmQEOBDMzS9oNBEn/JmmjpCcLakMk3SfpufR8cMFncyStlbRG0ikF9YmSnkifXSNJqd5f0uJUXy6ppnO/opmZlaKUNYQFwLRWtdnAkogYBSxJ75E0GqgDjk1jrpPUJ425HqgHRqVHyzxnAVsj4kjgKuDKjn4ZMzPruHYDISL+G9jSqjwdWJheLwTOKKjfFhGvR8TzwFpgkqRhwKCIWBYRAdzcakzLvO4AprasPZiZWdfp6D6EwyJiA0B6PjTVhwMvFkzXlGrD0+vW9d3GRMROYBswtNg/KqleUqOkxk2bNnWwdTMzK6azdyoX+8s+2qi3NWbPYsT8iKiNiNqqqqoOtmhmZsV0NBBeSpuBSM8bU70JGFEwXTWwPtWri9R3GyOpLzCYPTdRmZnZO6yjgXA3MDO9ngncVVCvS0cOjSTbefxo2qy0XdLktH/gnFZjWuY1A7g/7WcwM7Mu1Le9CSQtAk4CDpHUBHwFmAc0SJoFrAPOBIiI1ZIagKeAncAFEfFWmtX5ZEcsDQTuSQ+AG4FbJK0lWzOo65RvZmZmZWk3ECLiU3v5aOpepp8LzC1SbwTGFKk3kwLFzMzy4zOVzcwMKGENoTermf2TvFvghXmn5d2CmRngNQQzM0scCGZmBlT4JiMzs1JVwiZmryGYmRngQDAzs8SBYGZmgAPBzMwSB4KZmQEOBDMzSxwIZmYGOBDMzCxxIJiZGeBAMDOzxIFgZmaAA8HMzBIHgpmZAQ4EMzNLHAhmZgZ0o0CQNE3SGklrJc3Oux8zs0rTLQJBUh/gWuBUYDTwKUmj8+3KzKyydItAACYBayPiNxHxBnAbMD3nnszMKooiIu8ekDQDmBYRn03vzwbeHxF/12q6eqA+vT0aWNOljRZ3CPBy3k10E/4tMv4ddvFvsUt3+S2OiIiqYh90l3sqq0htj6SKiPnA/He+ndJJaoyI2rz76A78W2T8O+zi32KXnvBbdJdNRk3AiIL31cD6nHoxM6tI3SUQfgmMkjRS0ruAOuDunHsyM6so3WKTUUTslPR3wE+BPsC/RcTqnNsqVbfahJUz/xYZ/w67+LfYpdv/Ft1ip7KZmeWvu2wyMjOznDkQzMwMcCCYmVniQDDrRJIOyLsHs47qFkcZ9SSSBHwaeG9EfF3SnwDviYhHc24tF5IOA64ADo+IU9M1qE6IiBtzbq1LSfpz4AbgQOBPJB0HfC4ivpBvZ13PywRI+h5FTq5tERH/0IXtlMxrCOW7DjgB+FR6v53swnyVagHZ4cKHp/fPAv+YWzf5uQo4BdgMEBG/Ak7MtaP8LMDLRCOwoo1Ht+Q1hPK9PyKOl/Q4QERsTSfTVapDIqJB0hx4+5ySt/JuKg8R8WK2Avm2ivwd8DJBRCzMu4eOcCCU7810ue4AkFQF/DHflnK1Q9JQdv0ek4Ft+baUixfTZqNIfyD8A/B0zj3lxctEIukBil+X7eQc2mmXA6F81wB3AodKmgvMAL6cb0u5uojsMiN/KukXQBVwZr4t5eLzwHeB4WTX5voZUHH7DxIvE7tcXPB6APAJYGdOvbTLZyp3gKT3AVPJrtK6JCIq9S9BJPUn2zRyNNnvsQbYLyJez7WxLiZpSkT8or1aJfAy0TZJD0XEX+TdRzEOhDJJuiUizm6vVikkPRYRx7dX6+38O+zi32IXSUMK3u4H1ALfjYijc2qpTd5kVL5jC9+k/QkTc+olN5LeQ7Z5ZKCkCey6p8UgYP/cGutikk4A/hyoknRRwUeDyC7UWDG8TBS1gl37EHYCLwCzcuumHQ6EEqUjJi4jW9hfaSkDb9ADrmL4DjgFOJfs3hXfZtf/+beT/U6V4l1k5x70BQ4qqL9Ctn+pkniZSCT9GfBiRIxM72eS7T94AXgqx9ba5E1GZZL0zxExJ+8+ugtJn4iIH+bdR57SWuLiiKi0ACjKy0S2iQz4q4jYIulEsvvE/z0wHjimuy4rPjGtfD9uuTyBpLMkfUfSEXk3laNqSYOUuUHSY5I+nHdTXSki3gKGtDth5aj4ZQLoExFb0uu/AeZHxA8j4svAkTn21SYHQvmuB15Nlyb4IvBb4OZ8W8rVZyLiFeDDwKHAecC8fFvKxeOS7pZ0tqSPtzzybionXiagj6SWTfJTgfsLPuu2m+q7bWPd2M6ICEnTyY4WuDFtH6xULduJPwLcFBG/UqvTdSvEELLLVhSecBTAf+TTTq68TMAi4CFJLwOvAQ8DSDqSbnySnvchlEnSQ8C9wGeADwKbgJURMTbXxnIi6SayI0tGAseRHVnzYERU3JFXlvEykUlnaA8DfhYRO1LtKODAiHgs1+b2woFQpnRo3f8CfhkRD6ernZ4UERW52UjSfmQ7yn4TEb9PlywYHhGrcm6tS0mqBr4HTCFbM1gKXBgRTbk2lgMvEz2X9yGUKSJ+B/wQ6J9KL5NdyqJSBTCa7No9AAeQnaJfaW4iu1zD4WR/Hf9nqlUiLxM9lAOhTJL+FrgD+H4qDQd+lF9HufPlwDNVEXFTROxMjwVk1/CpRF4meigHQvkuINss8ApARDxHdiRFpXp/RFwANEN2OXCyk7UqzcvpMOQ+6XEW6d4IFcjLRA/lQCjf6xHxRsubdGhZJe+I8eXAM58BPgn8DthAdpbyZ3LtKD9eJnooH3ZavocktVzC4kNklzj+z5x7ylOxy4Ffnm9LXS8i1gEfzbuPbsLLRA/lo4zKlI6gmEV20o3IbhV4Q1TwD1nJlwOX9L/b+Dgi4v90WTPdSCUvEz2ZA6FMkgaQnXoewK8jojnnlnLR6rK+eyg4bb9Xk/RPRcoHkP3RMDQiDuzilnLjZaLncyCUKO0ruIJsu/Bvyfa/VJMdWviliHgzx/a6nKTnyUJRwJ8AW9PrdwPrWq7yWEkkHQRcSBYGDcC3I2Jjvl11HS8TPZ93KpfuX8guTzAyIiZGxATgT8kW9m/l2lkOImJkRLyXbJPZX0fEIRExFDidCrtcg6Qhkr4BrCLbL3d8RFxaSWEAXiZ6A68hlEjSc8BRrfcVpKMpnomIUfl0li9JK1pfkkBSY0TU5tVTV5L0L8DHye6JcW1E/CHnlnJX6ctET+Y1hNJFsR3H6dLHlZyqL0u6XFKNpCMkfYnKOv7+n8jOTr4cWC/plfTYXnAjpUpT6ctEj+VAKN1Tks5pXUwnID2TQz/dxafIzsi9Mz2q2HWGaq8XEftFxMCIOCgiBhU8DoqIQXn3l5PCZeJHZCduVswy0ZN5k1GJJA0n2w76Grvuk/pnwEDgYxHxPzm2l4u0uWxeRFySdy9mtu8cCGWSdDJwLNnRE6sjYknOLeVK0v0RcXL7U1qlkPQARTajejnp/hwI+0BSfUTMz7uPPEn6NjAKuB3Y0VKPCB9VUqEkFe5QHkB2c/mdEfHFnFqyEjkQ9oGkxyLi+Lz7yFO6GUprERGVeh0fK0LSQxHxF3n3YW3ztYz2TaXdFnAPEXFe3j1Y99LqjOX9gFrgPTm1Y2VwIOyb0/NuIG++U5gV0XLQBcBO4AWys7etm/Nhp2WSNFjSVZIagbskfVvS4Lz7ypHvFGYASPozSe8pOGP5a2SHZD8DPJVvd1YKB0L5/o3s5jifTI9XqOz/APpOYdbi+8AbAJJOBP4ZWAhsIzuT27o5bzIq359GxCcK3n9N0srcusnfy+nkvEXp/afwWamVqk/BFU3/BpgfET8Efljh/x/pMbyGUL7XJH2g5Y2kKWQnq1Uq3ynMWvRJVwWG7F4I9xd85j8+ewD/j1S+zwM3F+w32ArMzLGfXPlOYVZgEdkdBV8m+yPpYQBJR5JtNrJuzuchlCHdLW1GRDRIGgQQERV5ATPfKcyKkTQZGAb8LCJ2pNpRwIER8ViuzVm7HAhlkvTfEXFi3n3kzXcKM+t9HAhlkvRlstXhxex+qYaKvT1gpd8pzKy3cCCUKd0msLVIx11XlHRG6kXAp8kOL/xuRGzNtysz6yjvVC7fMRHRXFiQNCCvZvLS6k5hY32nMLOez2sIZSp2QbtKvMidpD8Cr5NdmqBwIRLZGlOl3hzGrMfyGkKJJL2H7NIMAyVNYNeF7QYB++fWWE4iwuewmPUyDoTSnQKcC1QD3ymobwcuy6MhM7PO5E1GZZL0iXQ6vplZr+JAKJOk/mR3gKqhYA0rIr6eV09mZp3Bm4zKdxfZafgryGzj868AAAMnSURBVHaqmpn1Cl5DKJOkJyNiTN59mJl1Nh8pUr7/J2ls3k2YmXU2ryGUSdJTwJHA82SbjFqOux+Xa2NmZvvIgVAmSUcUq0fEb7u6FzOzzuRNRmVK/+EfAZycXr+Kf0cz6wW8hlAmSV8BaoGjI+IoSYcDt0fElJxbMzPbJ/7LtnwfI7tD2A6AiFgPHJRrR2ZmncCBUL43IlutCgBJB+Tcj5lZp3AglK9B0veBd0v6W+DnwA9y7snMbJ95H0KJ0o3CD4uIX0j6EPBhskNOXwFujYhf59qgmdk+ciCUSNKPgcsiYlWrei3wlYj463w6MzPrHN5kVLqa1mEAEBGNZBe6MzPr0RwIpWvrNpkDu6wLM7N3iAOhdL9MO5F3I2kW2ZVPzcx6NO9DKJGkw4A7gTfYFQC1wLuAj0XE7/LqzcysMzgQyiTpL4GWy1+vjoj78+zHzKyzOBDMzAzwPgQzM0scCGZmBjgQzN4xkj4qaXbefZiVyvsQzEogSWT/f/lj3r2YvVO8hmC2F5JqJD0t6TrgMeBsScskPSbpdkkHpuk+IukZSUslXZMuc4KkcyX9a3r915KWS3pc0s/TYcxIGiLpR5JWSXpEkm/FarlxIJi17WjgZuBDwCzgryLieKARuEjSAOD7wKkR8QGgai/zWQpMjogJwG3AF1P9a8Dj6Z7cl6V/yywXffNuwKyb+21EPCLpdGA08Its6xHvApYB7wN+ExHPp+kXAfVF5lMNLJY0LI1tmf4DwCcAIuJ+SUMlDY6Ibe/YNzLbC68hmLVtR3oWcF9EjE+P0RExK9VL8T3gXyNiLPA5dl0bq9h479izXDgQzErzCDAl3RcDSftLOgp4BnivpJo03d/sZfxg4H/S65kF9f8GPp3meRLwckS80qmdm5XIm4zMShARmySdCyyS1D+VL4+IZyV9AbhX0svAo3uZxVeB2yX9D1m4jCyo3yRpFfAqu4eFWZfyYadm+0jSgRHxh3Ro6rXAcxFxVd59mZXLm4zM9t3fSloJrCbbNPT9nPsx6xCvIZiZGeA1BDMzSxwIZmYGOBDMzCxxIJiZGeBAMDOz5P8DBUnlR8wq4EMAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_Regioes = covid_BR[['regiao','obitosNovos']].groupby('regiao').sum().query('regiao != \"Brasil\"')\n", "covid_Regioes.plot.bar();" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Vamos agora considerar os *óbitos* como `index`:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_Regioes_casos_obitos = covid_BR[['regiao',\n", " 'obitosNovos']].groupby('regiao').sum().query('regiao != \"Brasil\"')/2\n", "covid_Regioes_casos_obitos.transpose().plot.bar();" ] }, { "cell_type": "code", "execution_count": 21, "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_casos_obitos.transpose().plot.bar(stacked=True);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Gráfico de Barras\n", "\n", "O gráfico de barras é construído da mesma forma do gráfico em colunas, entretanto, muda-se a orientação. Neste caso, o eixo horizontal do gráfico é proporcional ao valor do dado, e o eixo vertical consiste das diferentes categorias consideradas. Para criar um gráfico de barras, basta utilizar `plot(kind = 'barh')`. Também podemos criar estes gráficos utilizando o método `plot.barh()`. As duas formas são equivalentes." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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1Z+27k5lZP6SI/Dms/rERR8WIMgeAmVl3SFodEaVt230rCDOzjHIAmJlllAPAzCyjHABmZhnlADAzy6i8uh108chCKn3VjZlZKjwDMDPLKAeAmVlGOQDMzDLKAWBmllEOADOzjHIAmJlllAPAzCyjHABmZhnlADAzyygHgJlZRjkAzMwyygFgZpZRDgAzs4xyAJiZZZQDwMwsoxwAZmYZ5QAwM8soB4CZWUY5AMzMMsoBYGaWUQ4AM7OMGpDrArqjtqGW4kXFuS7DzKxPVZdV98p2PQMwM8soB4CZWUY5AMzMMsoBYGaWUQ4AM7OMcgCYmWVUjy8DlbQ1Ig7qZP03gTnABuDbEfHc/r7WhB3vU7n+j/v7dMuy8i25rsCs3+n17wFExI3Ajb39OmZm1j2pHAJSsx9IqpFULWl20n6QpJWS1iTtZ7d6zmVJ/5pklmBmZn0orRnAuUAJcCwwDKiQ9DCwCZgREe9IGgY8IeleYDIwH5gKCHhS0kMR8XRK9ZiZ2T6kdRJ4GrAkIpoiYiPwEDCF5jf3ayStBX4HjAT+POm/PCLei4itwH8AJ7W3YUkXSqqUVLlpW6RUrpmZpRUA6qD9fGA48JmIKAE2AoM66b+XiLg1IkojonT4kC4/zczM9iGtAHgYmC2pQNJw4GTgKaAQeDMidko6FRjdqv85koZIOhCYATySUi1mZtYFPToHIGkAsANYDnwWeAYI4B8j4g1Ji4FfSaoEqoBnASJijaSf0RwSAP+3K8f/q2MsRY25v6Co7tqzcl2CmVmP9fQk8ATgpYgI4H8lPy0iYjPNwbCXiLgBuKGHr29mZvtpvw8BSboYWAJ8O71yzMysr+z3DCAibgFuSbEWMzPrQ74XkJlZRjkAzMwyygFgZpZRefVH4YtHFlLpSzDNzFLhGYCZWUY5AMzMMsoBYGaWUQ4AM7OMcgCYmWWUA8DMLKMcAGZmGeUAMDPLKAeAmVlGOQDMzDLKAWBmllEOADOzjHIAmJlllAPAzCyjHABmZhnlADAzyygHgJlZRjkAzMwyygFgZpZRDgAzs4xyAJiZZdSAXBfQHbUNtRQvKs51GWaWYdVl1bkuITWeAZiZZZQDwMwsoxwAZmYZ5QAwM8soB4CZWUY5AMzMMiqvLgOdsON9Ktf/MddlWPmWXFdgZilIdQYgaYakkPTpNLdrZmbpS/sQ0HnAo8CclLdrZmYpSy0AJB0EnAhcQBIAkk6R9KCkZZKelbRYkpJ1V0iqkFQj6dbd7WZm1jfSnAGcA9wfEc8Db0manLRPAr4JHA2MpTkkAP41IqZExERgMDC9vY1KulBSpaTKTdsixXLNzLItzQA4D7grWb4reQzwVETUR8QuoAooStpPlfSkpGrgL4EJ7W00Im6NiNKIKB0+xJMEM7O0pHIVkKShNL+JT5QUQAEQwH3AjlZdm4ABkgYB/waURsQGSeXAoDRqMTOzrklrBjALuCMiRkdEUUQcAawHpnXQf/eb/ebk3MGslOowM7MuSut7AOcB17Zp+yXwdeCltp0j4m1JtwHVQB1Q0ZUXqY6xFDXe2LNKU1R37Vm5LsHMbL8pIn9OrH5sxFExoswBYGbWHZJWR0Rp23bfCsLMLKMcAGZmGeUAMDPLKAeAmVlGOQDMzDIqr24HXTyykEpfeWNmlgrPAMzMMsoBYGaWUQ4AM7OMcgCYmWWUA8DMLKMcAGZmGeUAMDPLKAeAmVlGOQDMzDLKAWBmllF59QdhJL0LPJfrOrppGLA510V0Q77VC665r7jm3tdb9Y6OiOFtG/PqXkDAc+39VZv+TFJlPtWcb/WCa+4rrrn39XW9PgRkZpZRDgAzs4zKtwC4NdcF7Id8qznf6gXX3Fdcc+/r03rz6iSwmZmlJ99mAGZmlhIHgJlZRuVFAEg6Q9Jzkl6UtCDX9bRH0hGSfi9pnaRaSf89aS+X9KqkquTnzFzX2pqkOknVSW2VSdthkv5L0gvJv4fmus7dJH2q1VhWSXpH0jf72zhL+qmkNyXVtGrrcFwlXZ7s389JOr2f1PsDSc9KWitpuaSPJ+1Fkra3Gutb+rreTmrucD/I9Rh3UvPSVvXWSapK2nt/nCOiX/8ABcBLwFjgAOAZ4Ohc19VOnSOAycnywcDzwNFAOfAPua6vk7rrgGFt2v4ZWJAsLwCuy3WdnewbbwCj+9s4AycDk4GafY1rsp88A3wMGJPs7wX9oN7TgAHJ8nWt6i1q3a+fjXG7+0F/GOOOam6z/l+AK/pqnPNhBnAc8GJEvBwR7wN3AWfnuKa9RMTrEbEmWX4XWAeMzG1V++1sYFGyvAg4J4e1dObzwEsR8UquC2krIh4G3mrT3NG4ng3cFRE7ImI98CLN+32faa/eiHggIj5IHj4BjOrLmvalgzHuSM7HGDqvWZKAvwWW9FU9+RAAI4ENrR7X08/fWCUVAZOAJ5Omv0+m0T/tT4dTEgE8IGm1pAuTtj+PiNehOdiAT+Ssus7NYc//LP15nKHjcc2HffyrwIpWj8dIelrSQ5JOylVRHWhvP8iHMT4J2BgRL7Rq69VxzocAUDtt/fbaVUkHAb8EvhkR7wA3A38BlACv0zzF609OjIjJwJeASyWdnOuCukLSAcBfA79Imvr7OHemX+/jkr4FfAAsTppeB46MiEnAZcC/SzokV/W10dF+0K/HOHEee36g6fVxzocAqAeOaPV4FPBajmrplKSBNL/5L46I/wCIiI0R0RQRu4DbyMG0szMR8Vry75vAcprr2yhpBEDy75u5q7BDXwLWRMRG6P/jnOhoXPvtPi6pDJgOnB/JgenkMEpDsrya5uPp43JX5Yc62Q/67RgDSBoAnAss3d3WF+OcDwFQARwlaUzyqW8OcG+Oa9pLcvzudmBdRNzQqn1Eq24zgJq2z80VSQdKOnj3Ms0n/WpoHt+ypFsZ8J+5qbBTe3xa6s/j3EpH43ovMEfSxySNAY4CnspBfXuQdAbwT8BfR8S2Vu3DJRUky2Nprvfl3FS5p072g345xq18AXg2Iup3N/TJOPf1WfD9PHN+Js1X1bwEfCvX9XRQ4zSap5Rrgark50zgTqA6ab8XGJHrWlvVPJbmKyOeAWp3jy0wFFgJvJD8e1iua21T9xCgAShs1davxpnmcHod2Enzp88LOhtX4FvJ/v0c8KV+Uu+LNB83370/35L0nZnsL88Aa4C/6kdj3OF+kOsx7qjmpP1nwMVt+vb6OPtWEGZmGZUPh4DMzKwXOADMzDLKAWBmllEOADOzjHIAmJlllAPAzCyjHABmZhn1/wHFGZX4iZi28QAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_dict_series.plot(kind = 'barh');" ] }, { "cell_type": "code", "execution_count": 23, "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": [ "df_dict_series.plot.barh();" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Também podemos \"empilhar\" as barras para cada índice utilizando o argumento `stacked=True`:" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_dict_series.plot.barh(stacked=True);" ] }, { "cell_type": "code", "execution_count": 25, "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", "covid_Regioes.plot.barh();" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Vamos agora considerar as *óbitos* como `index`:" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_Regioes_casos_obitos = covid_BR[['regiao',\n", " 'obitosNovos']].groupby('regiao').sum().query('regiao != \"Brasil\"')/2\n", "covid_Regioes_casos_obitos.transpose().plot.barh();" ] }, { "cell_type": "code", "execution_count": 27, "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_casos_obitos.transpose().plot.barh(stacked=True);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Gráfico de Setores\n", "\n", "O gráfico de setores, que também é popularmente conhecido como **gráfico pizza**, é um gráfico em que um círculo é dividido em setores, onde cada setor representa uma categoria considerada pelo conjunto de dados, e os ângulos dos setores são proporcionais aos valores dos dados em cada categoria. \n", "\n", "Podemos criar gráficos de setores utilizando o argumento `kind` do método `plot`. Assim, para criar um gráfico de setores, basta utilizar `plot(kind = 'pie')`. Também podemos criar estes gráficos utilizando o método `plot.pie()`. As duas formas são equivalentes. Para este gráfico é conveniente utilizar o argumento `figsize` já que o tamanho padrão tende a ser muito pequeno.\n", "\n", "Além disso, tipicamente é necessário acrescentar `subplots=True` para a criação de uma \"pizza\" para cada coluna numérica.\n", "Em uma *Series* do *pandas*, não é necessário o argumento `subplots=True`." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_dict_series.plot.pie(subplots=True,figsize=(22,7));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Aqui temos um gráfico acerca da mortalidade de COVID-19 através das diferentes regiões do Brasil." ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "covid_Regioes_casos_obitos.obitosNovos.plot.pie(figsize=(7,7));" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Gráfico de Dispersão\n", "\n", "O gráfico de dispersão representa dados de duas (ou mais) variáveis utilizando as coordenadas cartesianas para exibir valores de um conjunto de dados. Os dados são exibidos como uma coleção de pontos, cada um com o valor de uma variável determinando a posição no eixo horizontal e o valor da outra variável determinando a posição no eixo vertical. Quando há mais de duas variáveis, utilizam-se recursos adicionais como tamanhos dos pontos e/ou cores dos pontos.\n", "\n", "Para criar um gráfico de dispersão, basta utilizar `plot(kind = 'scatter')`. Também podemos criar estes gráficos utilizando o método `plot.scatter()`. As duas formas são equivalentes. \n", "\n", "Neste caso, devemos incluir dois argumentos: `x` e `y`, representando a abscissa e a ordenada, respectivamente. Para utilizar o *index* como eixo `x` é preciso que o *index* seja uma coluna, para tanto pode-se utilizar o método `reset_index()`. Assim, como nos outros métodos, podemos utilizar o argumento `rot` para rotacionar os rótulos do eixo `x`." ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_exemplo.reset_index().plot.scatter(x = 'index', y ='coluna_1' , rot = 45);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Podemos utilizar o argumento **s** para inserir o *tamanho* como uma variável gráfica (lembrando que o tamanho deve ser positivo):" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_1', rot = 45, s = np.abs(df_exemplo['coluna_2'])*100);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Podemos utilizar o argumento `c` para definir uma variável inserir a *cor* como uma variável gráfica:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "covid_PB_casos_obitos = covid_PB[['obitosNovos', 'casosNovos']].sort_index()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_PB_casos_obitos.reset_index().plot.scatter(x = 'data', y = 'casosNovos', c = 'obitosNovos');" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "O tamanho e cores também podem ser fixados para fins estéticos:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_1', rot = 45, c = 'black', s = 100);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Para criar múltiplos gráficos de dispersão sobrepostos, utilizamos o argumento `ax`.\n", "\n", "Para definir o rótulo do eixo `y` utilizamos: `ax.set_ylabel(\"Valor\")`.\n", "\n", "Para definir o rótulo do eixo `x` utilizamos: `ax.set_xlabel(\"Data\")`." ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Data')" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_1', label = 'coluna_1', \n", " color = 'black', rot = 45)\n", "df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_2', label = 'coluna_2', color = 'red',\n", " rot = 45, ax = ax)\n", "\n", "ax.set_ylabel(\"Valor\")\n", "ax.set_xlabel(\"Data\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Para sobrepor mais de dois gráficos, basta repetir o método anterior mais de uma vez:" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Data')" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_1', label = 'coluna_1', \n", " color = 'black', rot = 45)\n", "df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_2', label = 'coluna_2', color = 'red',\n", " rot = 45, ax = ax)\n", "df_exemplo.reset_index().plot.scatter(x = 'index', y = 'coluna_3', label = 'coluna_3', color = 'green',\n", " rot = 45, ax = ax)\n", "\n", "ax.set_ylabel(\"Valor\")\n", "ax.set_xlabel(\"Data\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### Histograma\n", "\n", "O histograma é formado por uma justaposição de retângulos de bases com o mesmo comprimento. O comprimento da base é justamente a amplitude do intervalo e a altura do retângulo é dada pela frequência absoluta do intervalo. O histograma é a representação gráfica de *distribuição de frequência*.\n", "\n", "Para criar um histograma, basta utilizar `plot(kind = 'hist')`. Também podemos criar histogramas utilizando o método `plot.hist()`. As duas formas são equivalentes.\n", "\n", "Um parâmetro comumente utilizado é `alpha` que define a transparência dos histogramas e é dado por um número entre 0 e 1. Outro parâmetro comumente utilizado é `bins` que determina o número de intervalos a serem considerados. Se quisermos que os histogramas sejam \"plotados\" separadamente, utilizamos o método `hist()` diretamente." ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "slideshow": { "slide_type": "notes" } }, "outputs": [ { "data": { "text/html": [ "
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obitos_Centro-Oesteobitos_Nordesteobitos_Norteobitos_Sudesteobitos_Sul
data
2020-02-250.00.00.00.00.0
2020-02-260.00.00.00.00.0
2020-02-270.00.00.00.00.0
2020-02-280.00.00.00.00.0
2020-02-290.00.00.00.00.0
..................
2020-07-1488.0315.076.0682.0139.0
2020-07-15163.0347.065.0528.0130.0
2020-07-16136.0373.097.0611.0105.0
2020-07-17139.0257.0121.0517.0129.0
2020-07-18115.0292.061.0358.095.0
\n", "

145 rows × 5 columns

\n", "
" ], "text/plain": [ " obitos_Centro-Oeste obitos_Nordeste obitos_Norte \\\n", "data \n", "2020-02-25 0.0 0.0 0.0 \n", "2020-02-26 0.0 0.0 0.0 \n", "2020-02-27 0.0 0.0 0.0 \n", "2020-02-28 0.0 0.0 0.0 \n", "2020-02-29 0.0 0.0 0.0 \n", "... ... ... ... \n", "2020-07-14 88.0 315.0 76.0 \n", "2020-07-15 163.0 347.0 65.0 \n", "2020-07-16 136.0 373.0 97.0 \n", "2020-07-17 139.0 257.0 121.0 \n", "2020-07-18 115.0 292.0 61.0 \n", "\n", " obitos_Sudeste obitos_Sul \n", "data \n", "2020-02-25 0.0 0.0 \n", "2020-02-26 0.0 0.0 \n", "2020-02-27 0.0 0.0 \n", "2020-02-28 0.0 0.0 \n", "2020-02-29 0.0 0.0 \n", "... ... ... \n", "2020-07-14 682.0 139.0 \n", "2020-07-15 528.0 130.0 \n", "2020-07-16 611.0 105.0 \n", "2020-07-17 517.0 129.0 \n", "2020-07-18 358.0 95.0 \n", "\n", "[145 rows x 5 columns]" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "covid_BR_regioes = covid_BR.copy().set_index('data').query('regiao != \"Brasil\"')\n", "covid_BR_regioes = covid_BR_regioes[['regiao','obitosNovos']].groupby(['regiao','data']).sum()/2\n", "\n", "covid_BR_reg = pd.DataFrame()\n", "\n", "for regiao in covid_BR_regioes.index.get_level_values(0).drop_duplicates():\n", " covid_BR_reg = pd.concat([covid_BR_reg, covid_BR_regioes.loc[regiao]], \n", " axis=1).rename({'obitosNovos':'obitos_'+regiao},axis=1)\n", " \n", "covid_BR_reg" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/html": [ "
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obitos_NEobitos_SE
data
2020-02-250.00.0
2020-02-260.00.0
2020-02-270.00.0
2020-02-280.00.0
2020-02-290.00.0
.........
2020-07-14315.0682.0
2020-07-15347.0528.0
2020-07-16373.0611.0
2020-07-17257.0517.0
2020-07-18292.0358.0
\n", "

145 rows × 2 columns

\n", "
" ], "text/plain": [ " obitos_NE obitos_SE\n", "data \n", "2020-02-25 0.0 0.0\n", "2020-02-26 0.0 0.0\n", "2020-02-27 0.0 0.0\n", "2020-02-28 0.0 0.0\n", "2020-02-29 0.0 0.0\n", "... ... ...\n", "2020-07-14 315.0 682.0\n", "2020-07-15 347.0 528.0\n", "2020-07-16 373.0 611.0\n", "2020-07-17 257.0 517.0\n", "2020-07-18 292.0 358.0\n", "\n", "[145 rows x 2 columns]" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "covid_BR_NE = covid_BR.set_index('data').query('regiao == \"Nordeste\"')['obitosNovos'].groupby('data').sum()/2\n", "covid_BR_NE.name = 'obitos_NE'\n", "\n", "covid_BR_SE = covid_BR.set_index('data').query('regiao == \"Sudeste\"')['obitosNovos'].groupby('data').sum()/2\n", "covid_BR_SE.name = 'obitos_SE'\n", "\n", "covid_BR_NE_SE = pd.concat([covid_BR_NE,covid_BR_SE], axis=1)\n", "covid_BR_NE_SE" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "slideshow": { "slide_type": "notes" } }, "outputs": [ { "data": { 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\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "covid_BR_reg.plot.hist(bins=30);" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "### BoxPlot\n", "\n", "O boxplot representa a variação dos dados de uma variável, por meio de uma caixa, onde são apresentados os *quartis*, e retas apresentando os limites inferior e superior dos dados. Os valores discrepantes ou *outliers* são plotados como pontos individuais.\n", "\n", "Para criar um BoxPlot, basta utilizar `plot(kind = 'box')`. Também podemos criar BoxPlots utilizando o método `plot.box()`. As duas formas são equivalentes. O argumento `vert=False` faz com que os BoxPlots fiquem horizontais." ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "slideshow": { "slide_type": "notes" } }, "outputs": [ { "data": { "text/html": [ "
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obitos_Norteobitos_Nordesteobitos_Sudesteobitos_Sulobitos_Centro-Oeste
data
2020-07-1476.0315.0682.0139.088.0
2020-07-1565.0347.0528.0130.0163.0
2020-07-1697.0373.0611.0105.0136.0
2020-07-17121.0257.0517.0129.0139.0
2020-07-1861.0292.0358.095.0115.0
\n", "
" ], "text/plain": [ " obitos_Norte obitos_Nordeste obitos_Sudeste obitos_Sul \\\n", "data \n", "2020-07-14 76.0 315.0 682.0 139.0 \n", "2020-07-15 65.0 347.0 528.0 130.0 \n", "2020-07-16 97.0 373.0 611.0 105.0 \n", "2020-07-17 121.0 257.0 517.0 129.0 \n", "2020-07-18 61.0 292.0 358.0 95.0 \n", "\n", " obitos_Centro-Oeste \n", "data \n", "2020-07-14 88.0 \n", "2020-07-15 163.0 \n", "2020-07-16 136.0 \n", "2020-07-17 139.0 \n", "2020-07-18 115.0 " ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "covid_regioes_obitosDiarios = 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')['obitosNovos'].groupby('data').sum()/2\n", " #Obs.: Utilizamos @ na frente do nome da variável para utilizar o valor da variável no query.\n", " temp_series.name = 'obitos_' + regiao\n", " covid_regioes_obitosDiarios = pd.concat([covid_regioes_obitosDiarios, temp_series], axis=1)\n", " \n", "covid_regioes_obitosDiarios.index = pd.to_datetime(covid_regioes_obitosDiarios.index)\n", "covid_regioes_obitosDiarios.tail()\n" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", 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