Moving Average COVID.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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": [
    "#Imports\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "import requests\n",
    "from matplotlib import cbook, dates\n",
    "from datetime import date, timedelta, datetime\n",
    "from itertools import product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'covid_data_brasilia.csv'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Downloading the data\n",
    "\n",
    "downloadUrl = 'https://covid19.ssp.df.gov.br/resources/dados/dados-abertos.csv?param=[random]'\n",
    "req = requests.get(downloadUrl)\n",
    "filename = 'dados-abertos.csv'\n",
    "\n",
    "with open(filename,'wb') as f:\n",
    "    for chunk in req.iter_content(chunk_size=8192):\n",
    "        if chunk:\n",
    "            f.write(chunk)\n",
    "            \n",
    "def download_file(url,filename=''):\n",
    "    try:\n",
    "        if filename:\n",
    "            pass\n",
    "        else:\n",
    "            filename = req.url[downloadUrl.rfind('/')+1:]\n",
    "\n",
    "        with requests.get(url) as req:\n",
    "            with open(filename,'wb') as f:\n",
    "                for chunk in req.iter_content(chunk_size=8192):\n",
    "                    if chunk:\n",
    "                        f.write(chunk)\n",
    "            return filename\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        return None\n",
    "    \n",
    "download_file(downloadUrl,'covid_data_brasilia.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loading and preparing the dataframes\n",
    "\n",
    "df = pd.read_csv('covid_data_brasilia.csv', sep = ';')\n",
    "df = pd.DataFrame(df)\n",
    "cols = ['Data','Sexo','UF','dataPrimeirosintomas','Pneumopatia','Nefropatia','Doença Hematológica','Distúrbios Metabólicos','Imunopressão','Obesidade','Outros','Cardiovasculopatia','Idade']\n",
    "df.drop(columns = cols,inplace=True)\n",
    "df_deaths = df[df['Óbito'] == 'Sim']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n",
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:4312: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  errors=errors,\n",
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:4465: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  downcast=downcast,\n",
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:17: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "C:\\Users\\bcpython\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
     ]
    }
   ],
   "source": [
    "#Preparing the dataframes to merge on each date on the interval since the first case of COVID\n",
    "#Also we use dateage to create a single key for each age interval on each day of the series for cases and deaths\n",
    "\n",
    "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['dateage'] = df['datastring'] + df['Faixa Etária']\n",
    "df.drop(columns = 'datastring', inplace = True)\n",
    "max_date = max(df['data'])\n",
    "max_date = max_date.to_pydatetime().date()\n",
    "\n",
    "df_deaths['data_obito'] = pd.to_datetime(df_deaths['Data Cadastro'], dayfirst = True)\n",
    "df_deaths.drop(columns = 'Data Cadastro', inplace=True)\n",
    "df_deaths.fillna(method='ffill', inplace = True)\n",
    "df_deaths['qtd'] = 1\n",
    "df_deaths['datastring'] = df_deaths['data_obito'].dt.strftime('%Y-%m-%d')\n",
    "df_deaths['dateage'] = df_deaths['datastring'] + df_deaths['Faixa Etária']\n",
    "df_deaths.drop(columns = 'datastring', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating a list with every date since the first case of COVID (16/3/2020)\n",
    "\n",
    "def rangedata(data1, data2):\n",
    "    for n in range(int((data2 - data1).days)+1):\n",
    "        yield data1 + timedelta(n)\n",
    "        \n",
    "date_list = []\n",
    "end_date = max_date\n",
    "beg_date = date(2020,3,16)\n",
    "for dt in rangedata(beg_date, end_date):\n",
    "    date_list.append(dt.strftime(\"%Y-%m-%d\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating a list with every age interval\n",
    "\n",
    "ages = []\n",
    "for x in df['Faixa Etária'].unique():\n",
    "    ages.append(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>age</th>\n",
       "      <th>dateage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>50 a 59 anos</td>\n",
       "      <td>2020-03-1650 a 59 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>40 a 49 anos</td>\n",
       "      <td>2020-03-1640 a 49 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>&gt;= 60 anos</td>\n",
       "      <td>2020-03-16&gt;= 60 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>20 a 29 anos</td>\n",
       "      <td>2020-03-1620 a 29 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>30 a 39 anos</td>\n",
       "      <td>2020-03-1630 a 39 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2377</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>40 a 49 anos</td>\n",
       "      <td>2021-04-1640 a 49 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2378</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>&gt;= 60 anos</td>\n",
       "      <td>2021-04-16&gt;= 60 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2379</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>20 a 29 anos</td>\n",
       "      <td>2021-04-1620 a 29 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2380</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>30 a 39 anos</td>\n",
       "      <td>2021-04-1630 a 39 anos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2381</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>&lt;= 19 anos</td>\n",
       "      <td>2021-04-16&lt;= 19 anos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2382 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date           age                 dateage\n",
       "0     2020-03-16  50 a 59 anos  2020-03-1650 a 59 anos\n",
       "1     2020-03-16  40 a 49 anos  2020-03-1640 a 49 anos\n",
       "2     2020-03-16    >= 60 anos    2020-03-16>= 60 anos\n",
       "3     2020-03-16  20 a 29 anos  2020-03-1620 a 29 anos\n",
       "4     2020-03-16  30 a 39 anos  2020-03-1630 a 39 anos\n",
       "...          ...           ...                     ...\n",
       "2377  2021-04-16  40 a 49 anos  2021-04-1640 a 49 anos\n",
       "2378  2021-04-16    >= 60 anos    2021-04-16>= 60 anos\n",
       "2379  2021-04-16  20 a 29 anos  2021-04-1620 a 29 anos\n",
       "2380  2021-04-16  30 a 39 anos  2021-04-1630 a 39 anos\n",
       "2381  2021-04-16    <= 19 anos    2021-04-16<= 19 anos\n",
       "\n",
       "[2382 rows x 3 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a dataframe with every date for every age interval and its unique key\n",
    "\n",
    "df_aux = pd.DataFrame(list(product(date_list,ages)))\n",
    "df_aux.columns = ['date','age']\n",
    "df_aux['dateage'] = df_aux['date'] + df_aux['age']\n",
    "df_aux"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Preparing the cases and deaths DF for the merge\n",
    "\n",
    "df_cases = df.groupby('dateage').agg('sum')\n",
    "df_deaths = df_deaths.groupby('dateage').agg('sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>age</th>\n",
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       "      <th>cumcases</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>50 a 59 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>40 a 49 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>&gt;= 60 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>20 a 29 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>30 a 39 anos</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</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>2377</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>40 a 49 anos</td>\n",
       "      <td>247.0</td>\n",
       "      <td>80818.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2378</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>&gt;= 60 anos</td>\n",
       "      <td>183.0</td>\n",
       "      <td>48224.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2379</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>20 a 29 anos</td>\n",
       "      <td>180.0</td>\n",
       "      <td>62483.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2380</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>30 a 39 anos</td>\n",
       "      <td>226.0</td>\n",
       "      <td>92296.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2381</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>&lt;= 19 anos</td>\n",
       "      <td>83.0</td>\n",
       "      <td>27961.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2382 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date           age  cases  cumcases\n",
       "0     2020-03-16  50 a 59 anos    NaN       NaN\n",
       "1     2020-03-16  40 a 49 anos    NaN       NaN\n",
       "2     2020-03-16    >= 60 anos    NaN       NaN\n",
       "3     2020-03-16  20 a 29 anos    NaN       NaN\n",
       "4     2020-03-16  30 a 39 anos    1.0       1.0\n",
       "...          ...           ...    ...       ...\n",
       "2377  2021-04-16  40 a 49 anos  247.0   80818.0\n",
       "2378  2021-04-16    >= 60 anos  183.0   48224.0\n",
       "2379  2021-04-16  20 a 29 anos  180.0   62483.0\n",
       "2380  2021-04-16  30 a 39 anos  226.0   92296.0\n",
       "2381  2021-04-16    <= 19 anos   83.0   27961.0\n",
       "\n",
       "[2382 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merging the cases DF with the auxiliar DF\n",
    "\n",
    "df_cases = pd.merge(df_aux,df_cases,left_on='dateage',right_on='dateage', how='left')\n",
    "df_cases.drop(columns = 'dateage', inplace=True)\n",
    "df_cases.columns = ['date','age','cases']\n",
    "df_cases.groupby(['age','date'], as_index =  False).agg({'cases':'sum'}).sort_values(by=['age','date'], ascending = True).reset_index(drop=True)\n",
    "df_cases['cumcases'] = df_cases.groupby('age')['cases'].cumsum()\n",
    "df_cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>50 a 59 anos</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>40 a 49 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>&gt;= 60 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>20 a 29 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>30 a 39 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>...</th>\n",
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       "      <th>2377</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>40 a 49 anos</td>\n",
       "      <td>1.0</td>\n",
       "      <td>621.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2378</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>&gt;= 60 anos</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2379</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>20 a 29 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2380</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>30 a 39 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2381</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>&lt;= 19 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2382 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date           age  deaths  cumdeaths\n",
       "0     2020-03-16  50 a 59 anos     NaN        NaN\n",
       "1     2020-03-16  40 a 49 anos     NaN        NaN\n",
       "2     2020-03-16    >= 60 anos     NaN        NaN\n",
       "3     2020-03-16  20 a 29 anos     NaN        NaN\n",
       "4     2020-03-16  30 a 39 anos     NaN        NaN\n",
       "...          ...           ...     ...        ...\n",
       "2377  2021-04-16  40 a 49 anos     1.0      621.0\n",
       "2378  2021-04-16    >= 60 anos     7.0     5170.0\n",
       "2379  2021-04-16  20 a 29 anos     NaN        NaN\n",
       "2380  2021-04-16  30 a 39 anos     NaN        NaN\n",
       "2381  2021-04-16    <= 19 anos     NaN        NaN\n",
       "\n",
       "[2382 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merging the deaths DF with the auxiliar DF\n",
    "\n",
    "df_deaths = pd.merge(df_aux,df_deaths,left_on='dateage',right_on='dateage', how='left')\n",
    "df_deaths.drop(columns = 'dateage', inplace=True)\n",
    "df_deaths.columns = ['date','age','deaths']\n",
    "df_deaths.groupby(['age','date'], as_index =  False).agg({'deaths':'sum'}).sort_values(by=['age','date'], ascending = True).reset_index(drop=True)\n",
    "df_deaths['cumdeaths'] = df_deaths.groupby('age')['deaths'].cumsum()\n",
    "df_deaths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#We filter on the DFs only people with over 60 years and creating a column with the moving average of 7 days\n",
    "\n",
    "df60_cases = df_cases[df_cases['age'] == '>= 60 anos'].reset_index(drop=True)\n",
    "df60_cases['ma7']= df60_cases['cases'].rolling(window = 7, min_periods=1).mean()\n",
    "df60_cases.date = pd.to_datetime(df60_cases.date)\n",
    "\n",
    "df60_deaths = df_deaths[df_cases['age'] == '>= 60 anos'].reset_index(drop=True)\n",
    "df60_deaths['ma7']= df60_deaths['deaths'].rolling(window = 7, min_periods=1).mean()\n",
    "df60_deaths.date = pd.to_datetime(df60_deaths.date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating a list with the dates of the events we want to show on the timeline, another list with its names \n",
    "# and two others with how many cases and deaths we had in each of these dates as we need it to plot the texts\n",
    "# on the right coordinates.\n",
    "\n",
    "datas_eventos = [\"03/18/2020\", #1º lockdown\n",
    "                 \"05/27/2020\", #Reabertura Comércio\n",
    "                 \"07/15/2020\", #Reabertura bares e restaura\n",
    "                 \"12/25/2020\", #Natal\n",
    "                 \"2/1/2021\", #Início Vacinação +80 anos\n",
    "                 \"2/15/2021\", #Carnaval\n",
    "                 \"3/1/2021\", #Lockdown e toque de recolher\n",
    "                 \"3/4/2021\", #Início Vacinação +75 anos\n",
    "                 \"3/25/2021\"] #Início Vacinação +70 anos\n",
    "\n",
    "datas_eventos = [datetime.strptime(x, '%m/%d/%Y') for x in datas_eventos]\n",
    "\n",
    "nomes_eventos = [\"1º lockdown\",\n",
    "                 \"Reabertura comércio\",\n",
    "                \"Reabertura bares e restaurantes\",\n",
    "                \"Natal\",\n",
    "                \"Início Vacinação +80 anos\",\n",
    "                \"Carnaval\",\n",
    "                \"Lockdown e Toque de Recolher\",\n",
    "                \"Início Vacinação +75 anos\",\n",
    "                \"Início Vacinação +70 anos\"]\n",
    "\n",
    "df_eventos_casos = df60_cases[df60_cases.date.isin(datas_eventos)].reset_index(drop=True)\n",
    "df_eventos_casos['ma7'] = df_eventos_casos['ma7'].fillna(0)\n",
    "df_eventos_casos['ma7'] = df_eventos_casos['ma7'].astype(int)\n",
    "lista_eventos_casos = list(df_eventos_casos['ma7'])\n",
    "\n",
    "df_eventos_mortes = df60_deaths[df60_deaths.date.isin(datas_eventos)].reset_index(drop=True)\n",
    "df_eventos_mortes['ma7'] = df_eventos_mortes['ma7'].fillna(0)\n",
    "df_eventos_mortes['ma7'] = df_eventos_mortes['ma7'].astype(int)\n",
    "lista_eventos_mortes = list(df_eventos_mortes['ma7'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting the timeline\n",
    "\n",
    "x_cases = df60_cases['date']\n",
    "y_cases= df60_cases['ma7']\n",
    "y2_cases= df60_cases['cases']\n",
    "\n",
    "x_deaths = df60_deaths['date']\n",
    "y_deaths= df60_deaths['ma7']\n",
    "y2_deaths=df60_deaths['deaths']\n",
    "\n",
    "fig, (ax1,ax2) = plt.subplots(2,figsize = (20,12), constrained_layout = True)\n",
    "ax1.bar(x_cases,y2_cases, label = 'Casos por dia', alpha = 0.35, width = 1)\n",
    "ax1.plot(x_cases,y_cases, color = 'red',linewidth=3, label ='Média Móvel 7 dias Casos')\n",
    "ax1.set_ylabel('Casos por dia', fontsize = 24)\n",
    "locator = dates.AutoDateLocator(minticks = 20, maxticks = 40)\n",
    "formatter = dates.ConciseDateFormatter(locator)\n",
    "ax1.xaxis.set_major_locator(locator)\n",
    "ax1.xaxis.set_major_formatter(formatter)\n",
    "ax1.set_xlim(beg_date,end_date)\n",
    "ax1.grid(alpha = 0.65)\n",
    "ax1.tick_params(axis='both', which='major', labelsize=16)\n",
    "ax1.legend(loc='upper center', fontsize = 14)\n",
    "ax1.set_title('COVID-19 em Pessoas com +60 Anos no DF (Casos e Óbitos)', fontsize = 36)\n",
    "tt = ax1.title\n",
    "tt.set_position([.5,1.05])\n",
    "ax2.bar(x_deaths,y2_deaths, label = 'Óbitos por dia', alpha = 0.35, width = 1)\n",
    "ax2.plot(x_deaths,y_deaths, color = 'red',linewidth=3, label ='Média Móvel 7 dias Óbitos')\n",
    "ax2.set_ylabel('Óbitos por dia', fontsize = 24)\n",
    "ax2.xaxis.set_major_locator(locator)\n",
    "ax2.xaxis.set_major_formatter(formatter)\n",
    "ax2.set_xlim(beg_date,end_date)\n",
    "ax2.grid(alpha = 0.65)\n",
    "ax2.tick_params(axis='both', which='major', labelsize=16)\n",
    "ax2.text(datetime(2020,3,17),-12,'Fonte: Painel Covid-19 no Distrito Federal',fontsize=19, weight='bold')\n",
    "ax2.text(datetime(2020,3,17),-16,f'Última atualização: {max_date:%d/%m/%y}',fontsize=18)\n",
    "ax2.text(datetime(2020,3,17),-20,'Autor: Bruno Caraffa',fontsize=18)\n",
    "ax2.text(datetime(2020,3,17),-24,'linkedin.com/in/brunocaraffa/',fontsize=18, style='italic')\n",
    "ax2.legend(loc='upper center', fontsize = 14)\n",
    "\n",
    "#Plotting the arrows with the events\n",
    "\n",
    "ax1.annotate(nomes_eventos[0],\n",
    "            (datas_eventos[0], lista_eventos_casos[0]),\n",
    "            xytext=(0,40),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[1],\n",
    "            (datas_eventos[1], lista_eventos_casos[1]),\n",
    "            xytext=(-100,40),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[2],\n",
    "            (datas_eventos[2], lista_eventos_casos[2]),\n",
    "            xytext=(-100,70),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[3],\n",
    "            (datas_eventos[3], lista_eventos_casos[3]),\n",
    "            xytext=(-25,40),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[4],\n",
    "            (datas_eventos[4], lista_eventos_casos[4]),\n",
    "            xytext=(-105,35),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[5],\n",
    "            (datas_eventos[5], lista_eventos_casos[5]),\n",
    "            xytext=(-35,45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[6],\n",
    "            (datas_eventos[6], lista_eventos_casos[6]),\n",
    "            xytext=(-145,45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[7],\n",
    "            (datas_eventos[7], lista_eventos_casos[7]),\n",
    "            xytext=(-15,-45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax1.annotate(nomes_eventos[8],\n",
    "            (datas_eventos[8], lista_eventos_casos[8]),\n",
    "            xytext=(-95,35),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[0],\n",
    "            (datas_eventos[0], lista_eventos_mortes[0]),\n",
    "            xytext=(0,40),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[1],\n",
    "            (datas_eventos[1], lista_eventos_mortes[1]),\n",
    "            xytext=(-100,30),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[2],\n",
    "            (datas_eventos[2], lista_eventos_mortes[2]),\n",
    "            xytext=(-100,70),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[3],\n",
    "            (datas_eventos[3], lista_eventos_mortes[3]),\n",
    "            xytext=(-25,40),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[4],\n",
    "            (datas_eventos[4], lista_eventos_mortes[4]),\n",
    "            xytext=(-105,35),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[5],\n",
    "            (datas_eventos[5], lista_eventos_mortes[5]),\n",
    "            xytext=(-55,45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[6],\n",
    "            (datas_eventos[6], lista_eventos_mortes[6]),\n",
    "            xytext=(-115,45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[7],\n",
    "            (datas_eventos[7], lista_eventos_mortes[7]),\n",
    "            xytext=(-30,-45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "ax2.annotate(nomes_eventos[8],\n",
    "            (datas_eventos[8], lista_eventos_mortes[8]),\n",
    "            xytext=(-65,45),\n",
    "            textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle = '-|>',\n",
    "                           mutation_scale=25),\n",
    "            weight='bold', fontsize = 10)\n",
    "\n",
    "plt.savefig('mediamovel.png')\n",
    "plt.show()"
   ]
  }
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