BCR - Deaths per 1000hab Federal District.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Source:  https://covid19.ssp.df.gov.br/extensions/covid19/covid19.html#/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1 - Extracting and transforming data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Importing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "df = pd.read_csv('dados-abertos.csv', sep = ';')\n",
    "df = pd.DataFrame(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df['Óbito'] == 'Sim'].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Deletes unused columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "colunas = ['Data','Sexo','Faixa Etária','UF','Óbito','dataPrimeirosintomas','Pneumopatia','Nefropatia','Doença Hematológica','Distúrbios Metabólicos','Imunopressão','Obesidade','Outros','Cardiovasculopatia']\n",
    "df.drop(columns = colunas,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Converts column 'data' to datetime, fill empty dates with next non-blank value and creates a column with 1 to each case observed (will be used as value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['data'] = pd.to_datetime(df['Data Cadastro'], dayfirst = True)\n",
    "df.drop(columns = 'Data Cadastro', inplace=True)\n",
    "df.fillna(method='ffill', inplace = True)\n",
    "df['qtd'] = 1\n",
    "df['datastring'] = df['data'].dt.strftime('%Y-%m-%d')\n",
    "df['dataRA'] = df['datastring'] + df['RA']\n",
    "df.drop(columns = 'datastring', inplace = True)\n",
    "data_max = max(df['data'])\n",
    "data_max = data_max.to_pydatetime().date()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Creates a list with all dates between today and the day of the first case in Federal Distict (16/3/2020)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria uma lista com todas as datas entre hoje e o dia do primeiro caso no DF (16/3/2020)\n",
    "\n",
    "from datetime import date, timedelta, datetime\n",
    "\n",
    "def rangedata(data1, data2):\n",
    "    for n in range(int((data2 - data1).days)+1):\n",
    "        yield data1 + timedelta(n)\n",
    "        \n",
    "lista_datas = []\n",
    "data_fim = data_max\n",
    "data_ini = date(2020,3,16)\n",
    "for dt in rangedata(data_ini, data_fim):\n",
    "    lista_datas.append(dt.strftime(\"%Y-%m-%d\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Creates a list with all cities of Federal District data and removes the unwanted (not informed and blanks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cidades = []\n",
    "for x in df.RA.unique():\n",
    "    cidades.append(x)\n",
    "cidades = cidades[:-2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 6. Creates an auxiliar DataFrame with all combinations of date and city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import product\n",
    "df_aux = pd.DataFrame(list(product(lista_datas,cidades)))\n",
    "df_aux.columns = ['data','RA']\n",
    "df_aux['dataRA'] = df_aux['data'] + df_aux['RA']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 7. Reorder columns of the auxiliar DF preparing for a merge and groups the original DF by date and city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>qtd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataRA</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-28Guará</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-29Jardim Botânico</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-29Plano Piloto</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-29Sudoeste/Octogonal</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-31Gama</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2021-01-29Planaltina</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-30Santa Maria</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-30Taguatinga</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-30Vicente Pires</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-30Águas Claras</th>\n",
       "      <td>1</td>\n",
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       "<p>2550 rows × 1 columns</p>\n",
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      "text/plain": [
       "                              qtd\n",
       "dataRA                           \n",
       "2020-03-28Guará                 1\n",
       "2020-03-29Jardim Botânico       2\n",
       "2020-03-29Plano Piloto          1\n",
       "2020-03-29Sudoeste/Octogonal    1\n",
       "2020-03-31Gama                  1\n",
       "...                           ...\n",
       "2021-01-29Planaltina            1\n",
       "2021-01-30Santa Maria           1\n",
       "2021-01-30Taguatinga            1\n",
       "2021-01-30Vicente Pires         1\n",
       "2021-01-30Águas Claras          1\n",
       "\n",
       "[2550 rows x 1 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_aux = df_aux[['dataRA','data','RA']]\n",
    "df = df[['dataRA','data','RA','qtd']]\n",
    "df.groupby('dataRA').agg('sum')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8. Creates the final DF, joining the two previous created DFs to obtain rows with the number of cases and cummulative cases per day for each city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(df_aux,df,on='dataRA',how='left')\n",
    "df_final.drop(columns=['dataRA','data_y','RA_y'], inplace=True)\n",
    "df_final.columns = ['data','ra','casos']\n",
    "df_final.groupby(['ra','data'], as_index = False).agg('sum')\n",
    "df_final = df_final.groupby(['ra','data'], as_index = False, dropna = False).agg('sum').sort_values(by=['ra','data'], ascending=True).reset_index(drop=True)\n",
    "df_final = df_final[['ra','data','casos']]\n",
    "df_final['casosacum'] = df_final.groupby('ra')['casos'].cumsum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 9. Removes the cities that are not actually cities (Other states and metropolitan area of Federal District)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ra</th>\n",
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       "      <th>casos</th>\n",
       "      <th>casosacum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>9946</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9947</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9948</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9949</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9950</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>1.0</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>9951 rows × 4 columns</p>\n",
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      ],
      "text/plain": [
       "                ra        data  casos  casosacum\n",
       "0       Brazlândia  2020-03-16    0.0        0.0\n",
       "1       Brazlândia  2020-03-17    0.0        0.0\n",
       "2       Brazlândia  2020-03-18    0.0        0.0\n",
       "3       Brazlândia  2020-03-19    0.0        0.0\n",
       "4       Brazlândia  2020-03-20    0.0        0.0\n",
       "...            ...         ...    ...        ...\n",
       "9946  Águas Claras  2021-01-26    0.0      112.0\n",
       "9947  Águas Claras  2021-01-27    0.0      112.0\n",
       "9948  Águas Claras  2021-01-28    0.0      112.0\n",
       "9949  Águas Claras  2021-01-29    0.0      112.0\n",
       "9950  Águas Claras  2021-01-30    1.0      113.0\n",
       "\n",
       "[9951 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indices_fora = df_final[(df_final['ra'] == 'Outros Estados') | (df_final['ra'] == 'Entorno DF') ].index\n",
    "df_final.drop(indices_fora, inplace = True)\n",
    "df_final.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#IMPORTAR A LISTA DE POPULAÇÕES POR RA, REMOVER AS DUAS RAS QUE NÃO TEM POPULAÇÃO AINDA (ARNIQUEIRAS E POR DO SOL)\n",
    "#DEPPOIS FAZER A CONTA PRA TER O NUMERO DE CASOS POR HABITANTE E O ACUMULADO -> NCASOS POR 1000HAB = (CASOS *1000)/POP\n",
    "\n",
    "pop = pd.read_excel('populaçõesra.xlsx')\n",
    "df_pop = pd.merge(df_final, pop, on='ra')\n",
    "df_pop['popacum'] = (df_pop['casosacum'] * 100000)/df_pop['pop']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 10. Saves the file on a excel sheet that will be used as source for creating the Bar Chart Race"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pop.to_excel('covid_bsb_completo_pop.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2 - Creating the Bar Chart Race"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 11. Importing the required libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "Bad key \"text.kerning_factor\" on line 4 in\n",
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\stylelib\\_classic_test_patch.mplstyle.\n",
      "You probably need to get an updated matplotlibrc file from\n",
      "https://github.com/matplotlib/matplotlib/blob/v3.1.3/matplotlibrc.template\n",
      "or from the matplotlib source distribution\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.animation as animation\n",
    "from IPython.display import HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 12. Importing the source sheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>ra</th>\n",
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       "      <th>casos</th>\n",
       "      <th>casosacum</th>\n",
       "      <th>pop</th>\n",
       "      <th>popacum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.0</td>\n",
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      ],
      "text/plain": [
       "           ra        data  casos  casosacum    pop  popacum\n",
       "0  Brazlândia  2020-03-16      0          0  63414      0.0\n",
       "1  Brazlândia  2020-03-17      0          0  63414      0.0\n",
       "2  Brazlândia  2020-03-18      0          0  63414      0.0\n",
       "3  Brazlândia  2020-03-19      0          0  63414      0.0\n",
       "4  Brazlândia  2020-03-20      0          0  63414      0.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base = pd.read_excel('covid_bsb_completo_pop.xlsx', index_col = 0)\n",
    "base.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 13. Removes the cases columns (we are only using the cummulative cases)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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       "      <th>popacum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9625</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9626</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9627</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9628</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9629</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>161278</td>\n",
       "      <td>70.065353</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9630 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                ra        data     pop    popacum\n",
       "0       Brazlândia  2020-03-16   63414   0.000000\n",
       "1       Brazlândia  2020-03-17   63414   0.000000\n",
       "2       Brazlândia  2020-03-18   63414   0.000000\n",
       "3       Brazlândia  2020-03-19   63414   0.000000\n",
       "4       Brazlândia  2020-03-20   63414   0.000000\n",
       "...            ...         ...     ...        ...\n",
       "9625  Águas Claras  2021-01-26  161278  69.445306\n",
       "9626  Águas Claras  2021-01-27  161278  69.445306\n",
       "9627  Águas Claras  2021-01-28  161278  69.445306\n",
       "9628  Águas Claras  2021-01-29  161278  69.445306\n",
       "9629  Águas Claras  2021-01-30  161278  70.065353\n",
       "\n",
       "[9630 rows x 4 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base.drop(columns = ['casos','casosacum'], inplace = True)\n",
    "base"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 14. Creating the sequence of days that will be used as index to the BarChartRace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data</th>\n",
       "      <th>pop</th>\n",
       "      <th>seq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>437309</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>437309</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>437309</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>437309</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>437309</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>437309</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>437309</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>437309</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>437309</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>437309</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>321 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           data     pop  seq\n",
       "0    2020-03-16  437309    0\n",
       "1    2020-03-17  437309    1\n",
       "2    2020-03-18  437309    2\n",
       "3    2020-03-19  437309    3\n",
       "4    2020-03-20  437309    4\n",
       "..          ...     ...  ...\n",
       "316  2021-01-26  437309  316\n",
       "317  2021-01-27  437309  317\n",
       "318  2021-01-28  437309  318\n",
       "319  2021-01-29  437309  319\n",
       "320  2021-01-30  437309  320\n",
       "\n",
       "[321 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_seq = base.drop(columns = ['ra','popacum'])\n",
    "df_seq = df_seq.groupby('data').agg('max').reset_index()\n",
    "df_seq['seq']= df_seq.index\n",
    "df_seq"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 15. Creating a DataFrame with regions and cities of the Federal District"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>regiao</th>\n",
       "      <th>ra</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Central</td>\n",
       "      <td>Plano Piloto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Central</td>\n",
       "      <td>Lago Sul</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Central</td>\n",
       "      <td>Lago Norte</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central</td>\n",
       "      <td>Sudoeste/Octogonal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central</td>\n",
       "      <td>Cruzeiro</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    regiao                  ra\n",
       "0  Central        Plano Piloto\n",
       "1  Central            Lago Sul\n",
       "2  Central          Lago Norte\n",
       "3  Central  Sudoeste/Octogonal\n",
       "4  Central            Cruzeiro"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic_regioes = {'Central': ['Plano Piloto','Lago Sul','Lago Norte',  \n",
    "          'Sudoeste/Octogonal','Cruzeiro','Candangolândia',\n",
    "          'Park Way','Varjão','Guará','Núcleo Bandeirante',\n",
    "          'Riacho Fundo','Águas Claras','Vicente Pires',\n",
    "          'SIA','SCIA'],\n",
    "           'Oeste':['Taguatinga','Samambaia','Ceilândia','Brazlândia',\n",
    "         'Arniqueira','Pôr do Sol'],\n",
    "           'Sul':['Gama','Santa Maria','Riacho Fundo II','Recanto das Emas'],\n",
    "           'Leste':['Paranoá','Itapoã','São Sebastião','Jardim Botânico'\n",
    "         ,'Sistema Penitenciário'],\n",
    "           'Norte':['Sobradinho','Sobradinho II','Planaltina','Fercal']  \n",
    "}\n",
    "\n",
    "df_regioes = pd.DataFrame([(k,v) for (k, L) in dic_regioes.items() for v in L],\n",
    "                       columns = ['regiao','ra'])\n",
    "\n",
    "df_regioes.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 16. Joining the region and sequence columns to the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ra</th>\n",
       "      <th>data</th>\n",
       "      <th>pop_x</th>\n",
       "      <th>popacum</th>\n",
       "      <th>pop_y</th>\n",
       "      <th>seq</th>\n",
       "      <th>regiao</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>437309</td>\n",
       "      <td>0</td>\n",
       "      <td>Oeste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-17</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>437309</td>\n",
       "      <td>1</td>\n",
       "      <td>Oeste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>437309</td>\n",
       "      <td>2</td>\n",
       "      <td>Oeste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-19</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>437309</td>\n",
       "      <td>3</td>\n",
       "      <td>Oeste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brazlândia</td>\n",
       "      <td>2020-03-20</td>\n",
       "      <td>63414</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>437309</td>\n",
       "      <td>4</td>\n",
       "      <td>Oeste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9625</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "      <td>437309</td>\n",
       "      <td>316</td>\n",
       "      <td>Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9626</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "      <td>437309</td>\n",
       "      <td>317</td>\n",
       "      <td>Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9627</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "      <td>437309</td>\n",
       "      <td>318</td>\n",
       "      <td>Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9628</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>161278</td>\n",
       "      <td>69.445306</td>\n",
       "      <td>437309</td>\n",
       "      <td>319</td>\n",
       "      <td>Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9629</th>\n",
       "      <td>Águas Claras</td>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>161278</td>\n",
       "      <td>70.065353</td>\n",
       "      <td>437309</td>\n",
       "      <td>320</td>\n",
       "      <td>Central</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9630 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                ra        data   pop_x    popacum   pop_y  seq   regiao\n",
       "0       Brazlândia  2020-03-16   63414   0.000000  437309    0    Oeste\n",
       "1       Brazlândia  2020-03-17   63414   0.000000  437309    1    Oeste\n",
       "2       Brazlândia  2020-03-18   63414   0.000000  437309    2    Oeste\n",
       "3       Brazlândia  2020-03-19   63414   0.000000  437309    3    Oeste\n",
       "4       Brazlândia  2020-03-20   63414   0.000000  437309    4    Oeste\n",
       "...            ...         ...     ...        ...     ...  ...      ...\n",
       "9625  Águas Claras  2021-01-26  161278  69.445306  437309  316  Central\n",
       "9626  Águas Claras  2021-01-27  161278  69.445306  437309  317  Central\n",
       "9627  Águas Claras  2021-01-28  161278  69.445306  437309  318  Central\n",
       "9628  Águas Claras  2021-01-29  161278  69.445306  437309  319  Central\n",
       "9629  Águas Claras  2021-01-30  161278  70.065353  437309  320  Central\n",
       "\n",
       "[9630 rows x 7 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base = base.merge(df_seq, left_on = 'data', right_on ='data')\n",
    "base = base.merge(df_regioes, left_on = 'ra', right_on ='ra')\n",
    "base"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 17. Creates a variable with the amount of days in the sequence (will be used on the BCR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "320"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qtd_dias = base['seq'].max()\n",
    "qtd_dias"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 18. Defines a dictionary with colors for each region (will be used on the BCR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "cores = dict(zip(\n",
    "    [\"Central\", \"Oeste\", \"Sul\", \"Leste\", \"Norte\"],\n",
    "    [\"#adb0ff\", \"#ffb3ff\", \"#90d595\", \"#e48381\", \"#f7bb5f\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 19. Defines a dictionary with each city and its respective region (will be used on the BCR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Brazlândia': 'Oeste',\n",
       " 'Candangolândia': 'Central',\n",
       " 'Ceilândia': 'Oeste',\n",
       " 'Fercal': 'Norte',\n",
       " 'Gama': 'Sul',\n",
       " 'Guará': 'Central',\n",
       " 'Itapoã': 'Leste',\n",
       " 'Jardim Botânico': 'Leste',\n",
       " 'Lago Norte': 'Central',\n",
       " 'Lago Sul': 'Central',\n",
       " 'Núcleo Bandeirante': 'Central',\n",
       " 'Paranoá': 'Leste',\n",
       " 'Park Way': 'Central',\n",
       " 'Planaltina': 'Norte',\n",
       " 'Plano Piloto': 'Central',\n",
       " 'Recanto das Emas': 'Sul',\n",
       " 'Riacho Fundo': 'Central',\n",
       " 'Riacho Fundo II': 'Sul',\n",
       " 'SCIA': 'Central',\n",
       " 'Samambaia': 'Oeste',\n",
       " 'Santa Maria': 'Sul',\n",
       " 'Sistema Penitenciário': 'Leste',\n",
       " 'Sobradinho': 'Norte',\n",
       " 'Sobradinho II': 'Norte',\n",
       " 'Sudoeste/Octogonal': 'Central',\n",
       " 'São Sebastião': 'Leste',\n",
       " 'Taguatinga': 'Oeste',\n",
       " 'Varjão': 'Central',\n",
       " 'Vicente Pires': 'Central',\n",
       " 'Águas Claras': 'Central'}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ra_procv = base.set_index('ra')['regiao'].to_dict()\n",
    "ra_procv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 20. Plots the Bar Chart Race"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15, 15))\n",
    "\n",
    "def draw_barchart(current_seq):\n",
    "    dff = base[base['seq'].eq(current_seq)].sort_values(by=['popacum','ra'], ascending=[True,False])#.tail(10)\n",
    "    dff.head(10)\n",
    "    ax.clear()\n",
    "    ax.barh(dff['ra'], dff['popacum'], color=[cores[ra_procv[x]] for x in dff['ra']])\n",
    "    dx = dff['popacum'].max() / 200\n",
    "    dfdata = df_seq[df_seq['seq'].eq(current_seq)].sort_values(by=['data'], ascending=[True])\n",
    "    dfdata['data'] = pd.to_datetime(dfdata['data'])\n",
    "\n",
    "    for i, (value, name) in enumerate(zip(dff['popacum'], dff['ra'])):\n",
    "        ax.text(value-dx, i,     name,           size=14, weight=600, ha='right', va='bottom')\n",
    "        ax.text(value-dx, i-.25, ra_procv[name], size=10, ha='right', va='baseline')\n",
    "        ax.text(value+dx, i,     f'{value:,.0f}',  size=14, ha='left',  va='center')                  \n",
    "    ax.text(1, 0.47, 'Dia da pandemia: ', transform=ax.transAxes, size=20, ha='right', weight=800)    \n",
    "    ax.text(1, 0.4, current_seq, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)\n",
    "    ax.text(1, 0.32, 'Dia do calendário: ', transform=ax.transAxes, size=20, ha='right', weight=800) \n",
    "    for i, (data, seq) in enumerate(zip(dfdata['data'], dfdata['seq'])):\n",
    "        ax.text(1, 0.25, f'{data:%d/%m/%Y}', transform=ax.transAxes, color='#777777', size=32, ha='right', weight=800)\n",
    "    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))\n",
    "    ax.xaxis.set_ticks_position('top')\n",
    "    ax.tick_params(axis='x', colors='#777777', labelsize=12)\n",
    "    ax.set_yticks([])\n",
    "    ax.margins(0, 0.01)\n",
    "    ax.grid(which='major', axis='x', linestyle='-')\n",
    "    ax.set_axisbelow(True)\n",
    "    ax.text(0, 1.1, 'Evolução de Óbitos Confirmados por 100.000/hab na Pandemia (DF)',\n",
    "            transform=ax.transAxes, size=24, weight=600, ha='left', va='top', color='#FF0000' )\n",
    "    ax.text(1, 0, 'Desenvolvido por Bruno Caraffa\\n www.linkedin.com/in/brunocaraffa', \n",
    "            transform=ax.transAxes, color='#FF0000', ha='right',\n",
    "            size=18, bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))\n",
    "    ax.text(1, 0.1, f'Fonte: Painel da COVID-19 no DF \\n Atualizado até {data_max::%d/%m/%Y} ', transform=ax.transAxes, size=20, ha='right', weight=800)\n",
    "    plt.box(False)\n",
    "    \n",
    "draw_barchart(200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 21. Saves all the frames of the BarChartRace function as GIF on the directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (15,15))\n",
    "animator = animation.FuncAnimation(fig, draw_barchart, frames = range(0,qtd_dias), interval = 400)\n",
    "plt.rcParams['animation.embed_limit'] = 2**128\n",
    "HTML(animator.to_jshtml())\n",
    "f = r\"covidbsbFINALpopobitos.gif\" \n",
    "writergif = animation.PillowWriter(fps=3.2) \n",
    "animator.save(f, writer=writergif)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}