Computação_A2_Análise_Brasileirão _Alexandre_e_Pedro.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jvnSDx0pg_jI"
   },
   "source": [
    "# Trabalho de Computação 2021.2\n",
    "Alexandre Almeida & Pedro Pereira"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "NdhVf5WTgMfT"
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "1msrSX8iiP71"
   },
   "outputs": [],
   "source": [
    "est=pd.read_csv('campeonato-brasileiro-estatisticas-full.csv',sep=';',error_bad_lines = False)\n",
    "par=pd.read_csv('campeonato-brasileiro-full.csv',sep=';',error_bad_lines = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "id": "ogKj53h7ZrlR"
   },
   "outputs": [],
   "source": [
    "# Imagens do escudo dos times\n",
    "urlCruzeiro='https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png'\n",
    "urlSantos='https://upload.wikimedia.org/wikipedia/commons/thumb/3/35/Santos_logo.svg/1200px-Santos_logo.svg.png'\n",
    "urlCorinthians='https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png'\n",
    "urlFluminense='https://upload.wikimedia.org/wikipedia/pt/thumb/a/a3/FFC_escudo.svg/1200px-FFC_escudo.svg.png'\n",
    "urlFlamengo='https://upload.wikimedia.org/wikipedia/commons/9/93/Flamengo-RJ_%28BRA%29.png'\n",
    "urlAtleticoMG='https://upload.wikimedia.org/wikipedia/commons/5/5f/Atletico_mineiro_galo.png'\n",
    "urlSaoPaulo='https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png'\n",
    "urlGremio='https://upload.wikimedia.org/wikipedia/commons/2/2e/Gremio-Logo.png'\n",
    "urlPalmeiras='https://upload.wikimedia.org/wikipedia/commons/thumb/1/10/Palmeiras_logo.svg/1024px-Palmeiras_logo.svg.png'\n",
    "urlInternacional='https://upload.wikimedia.org/wikipedia/commons/f/f1/Escudo_do_Sport_Club_Internacional.svg'\n",
    "\n",
    "def path_to_image_html(path):\n",
    "    return '<img src=\"'+ path + '\" width=\"60\" >'\n",
    "\n",
    "def getPNG(nome):\n",
    "  if nome=='Cruzeiro':\n",
    "    return urlCruzeiro\n",
    "  if nome=='Santos':\n",
    "    return urlSantos\n",
    "  if nome=='Corinthians':\n",
    "    return urlCorinthians\n",
    "  if nome=='Fluminense':\n",
    "    return urlFluminense\n",
    "  if nome=='Flamengo':\n",
    "    return urlFlamengo\n",
    "  if nome=='Atlético-MG':\n",
    "    return urlAtleticoMG\n",
    "  if nome=='São Paulo':\n",
    "    return urlSaoPaulo\n",
    "  if nome=='Grêmio':\n",
    "    return urlGremio\n",
    "  if nome=='Palmeiras':\n",
    "    return urlPalmeiras\n",
    "  if nome=='Internacional':\n",
    "    return urlInternacional\n",
    "  return nome\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "il1ESnlGSd_V"
   },
   "source": [
    "# Limpeza das bases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "AyV2WlfZBVPW",
    "outputId": "9f1370e4-08fd-49a8-db90-4420099a50f3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Fluminense', 'Vasco', 'Vitória', 'Botafogo-RJ', 'Juventude',\n",
       "       'Guarani', 'Cruzeiro', 'América-MG', 'Goiás', 'Coritiba', 'Bahia',\n",
       "       'Flamengo', 'Gama', 'Internacional', 'Ponte Preta', 'Santos',\n",
       "       'Palmeiras', 'Athlético-PR', 'Corinthians', 'Atlético-MG',\n",
       "       'Portuguesa', 'Grêmio', 'São Paulo', 'Santa Cruz', 'Sport',\n",
       "       'Paraná', 'Remo', 'São Caetano', 'Malutrom', 'Botafogo-SP',\n",
       "       'Figueirense', 'Paysandu', 'Fortaleza', 'Criciúma', 'Brasiliense',\n",
       "       'América-RN', 'Náutico', 'Ipatinga', 'Avaí', 'Santo André',\n",
       "       'Barueri', 'Atlético-GO', 'Ceará', 'Grêmio Prudente',\n",
       "       'Chapecoense', 'Joinville', 'CSA', 'Bragantino', 'Cuiabá'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "par.drop( 'Horário', axis=1, inplace=True)\n",
    "par.drop( 'Dia', axis=1, inplace=True)\n",
    "par.drop( 'Arena', axis=1, inplace=True)\n",
    "par.index+=1\n",
    "par.index=par['ID']\n",
    "par=par.drop(['ID'],axis=1)\n",
    "par['Mandante'] = par['Mandante'].str.title()\n",
    "par['Visitante'] = par['Visitante'].str.title()\n",
    "par['Vencedor'] = par['Vencedor'].str.title()\n",
    "trocas = {'Atlético-Mg': 'Atlético-MG',\n",
    "                'América-Mg': 'América-MG',\n",
    "                'Athletico-Pr': 'Athlético-PR',\n",
    "                'Athlético-Pr': 'Athlético-PR',\n",
    "                'Botafogo-Rj': 'Botafogo-RJ',\n",
    "                'Botafogo-Sp': 'Botafogo-SP',\n",
    "                'América-Rn': 'América-RN',\n",
    "                'Atlético-Go': 'Atlético-GO',\n",
    "                'Csa': 'CSA'}\n",
    "par['Mandante'] = par['Mandante'].replace(trocas)\n",
    "par['Visitante'] = par['Visitante'].replace(trocas)\n",
    "par['Vencedor'] = par['Vencedor'].replace(trocas)\n",
    "todosTimes=par['Mandante'].unique()\n",
    "todosTimes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 424
    },
    "id": "j-R8htBRrj4S",
    "outputId": "80eb20ac-acae-4ca0-a7f4-be0434f240e5"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Mandante</th>\n",
       "      <th>Chutes</th>\n",
       "      <th>Chutes a gol</th>\n",
       "      <th>Posse de bola</th>\n",
       "      <th>Passes</th>\n",
       "      <th>Precisão de passe</th>\n",
       "      <th>Faltas</th>\n",
       "      <th>Cartões amarelos</th>\n",
       "      <th>Cartões vermelhos</th>\n",
       "      <th>Impedimentos</th>\n",
       "      <th>Escanteios</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6041</td>\n",
       "      <td>1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45%</td>\n",
       "      <td>326.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55%</td>\n",
       "      <td>388.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6040</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50%</td>\n",
       "      <td>406.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6040</td>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50%</td>\n",
       "      <td>426.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6042</td>\n",
       "      <td>1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>74%</td>\n",
       "      <td>702.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4801</th>\n",
       "      <td>8439</td>\n",
       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>61%</td>\n",
       "      <td>485.0</td>\n",
       "      <td>80%</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>4802</th>\n",
       "      <td>8440</td>\n",
       "      <td>1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>64%</td>\n",
       "      <td>468.0</td>\n",
       "      <td>81%</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4803</th>\n",
       "      <td>8440</td>\n",
       "      <td>0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36%</td>\n",
       "      <td>274.0</td>\n",
       "      <td>66%</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4804</th>\n",
       "      <td>8360</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>56%</td>\n",
       "      <td>441.0</td>\n",
       "      <td>83%</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4805</th>\n",
       "      <td>8360</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44%</td>\n",
       "      <td>345.0</td>\n",
       "      <td>75%</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4806 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID  Mandante  Chutes  ...  Cartões vermelhos Impedimentos  Escanteios\n",
       "0     6041         1    13.0  ...                0.0          3.0         3.0\n",
       "1     6041         0    16.0  ...                0.0          0.0         5.0\n",
       "2     6040         1    17.0  ...                0.0          2.0        11.0\n",
       "3     6040         0    10.0  ...                0.0          4.0         2.0\n",
       "4     6042         1    26.0  ...                0.0          1.0         5.0\n",
       "...    ...       ...     ...  ...                ...          ...         ...\n",
       "4801  8439         0    16.0  ...                0.0          3.0         4.0\n",
       "4802  8440         1    16.0  ...                0.0          2.0         9.0\n",
       "4803  8440         0    11.0  ...                0.0          2.0         4.0\n",
       "4804  8360         1    20.0  ...                0.0          0.0         0.0\n",
       "4805  8360         0     9.0  ...                1.0          0.0         4.0\n",
       "\n",
       "[4806 rows x 12 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "kHLdXYBbipUy"
   },
   "outputs": [],
   "source": [
    "est=est.sort_values('ID')\n",
    "est.index=est['ID']\n",
    "est=est.drop(['ID'],axis=1)\n",
    "est.drop('Precisão de passe', axis=1, inplace=True)\n",
    "est.drop('Chutes a gol', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ePUh2zyodWxA"
   },
   "source": [
    "Como só queremos trabalhar com temporadas completas de pontos corridos, precisamos dropar as linhas referentes às temporadas de 2000, 2001, 2002 e 2021. \n",
    "Por inspeção, precisamos apagar as linhas de ID de\n",
    " 0 a 1053 e de 8320 a 8440."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "Ou1WrVcJXJzF"
   },
   "outputs": [],
   "source": [
    "par.drop(list(range(1,1053+1)), axis=0, inplace=True)\n",
    "par.drop(list(range(8320,8440+1)), axis=0, inplace=True)\n",
    "par.index-=1053\n",
    "est.index-=1053\n",
    "est.drop(est[est.index>7266].index,inplace = True) # Da primeira partida da temporada de 2021 em diante"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Jrq2Pgm9WYTF"
   },
   "source": [
    "Vamos verificar o número de partidas em cada temporada. Em 2003 e 2004 havia 24 equipes (552 partidas), em 2005, 22 equipes (462 partidas) e, de 2006 em diante, 20 equipes (380 partidas)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "epp1JRf3_WI5",
    "outputId": "b7db2b0e-b90e-4fbe-d490-c84e41887dbd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'2003': 552, '2004': 552, '2005': 462, '2006': 380, '2007': 383, '2008': 377, '2009': 380, '2010': 380, '2011': 380, '2012': 380, '2013': 380, '2014': 380, '2015': 380, '2016': 380, '2017': 380, '2018': 380, '2019': 380, '2020': 268}\n"
     ]
    }
   ],
   "source": [
    "temporadas=['2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014','2015','2016','2017','2018','2019','2020']\n",
    "anos=[]\n",
    "numJogos={}\n",
    "for i in par.index:\n",
    "  anos.append(par.loc[i][1][:4])\n",
    "for i in temporadas:\n",
    "  numJogos[i]=(anos.count(i))\n",
    "print(numJogos)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xLI7SkBHDv-5"
   },
   "source": [
    "Percebemos que há um erro em 2007 (377 partidas) e 2008 (383 partidas), quando verificamos, vimos que havia 3 jogos de 2008 registrados como ocorridos em 2007, então vamos corrigir isso manualmente. Quanto a 2020, o restante das partidas aconteceu em 2021, por isso não consta 380 partidas no dicionário numJogos acima."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 175
    },
    "id": "ooNO-XP8XCBC",
    "outputId": "9d473d64-daf7-4dd6-bd86-78e60f88d80d"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rodada</th>\n",
       "      <th>Data</th>\n",
       "      <th>Mandante</th>\n",
       "      <th>Visitante</th>\n",
       "      <th>Vencedor</th>\n",
       "      <th>Mandante Placar</th>\n",
       "      <th>Visitante Placar</th>\n",
       "      <th>Estado Mandante</th>\n",
       "      <th>Estado Visitante</th>\n",
       "      <th>Estado Vencedor</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1957</th>\n",
       "      <td>2</td>\n",
       "      <td>2007-05-17</td>\n",
       "      <td>Sport</td>\n",
       "      <td>Vitória</td>\n",
       "      <td>-</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PE</td>\n",
       "      <td>ES</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958</th>\n",
       "      <td>2</td>\n",
       "      <td>2007-05-17</td>\n",
       "      <td>Cruzeiro</td>\n",
       "      <td>Botafogo-RJ</td>\n",
       "      <td>Cruzeiro</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>MG</td>\n",
       "      <td>RJ</td>\n",
       "      <td>MG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>2</td>\n",
       "      <td>2007-05-17</td>\n",
       "      <td>Vasco</td>\n",
       "      <td>Portuguesa</td>\n",
       "      <td>Vasco</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>RJ</td>\n",
       "      <td>SP</td>\n",
       "      <td>RJ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rodada        Data  ... Estado Visitante Estado Vencedor\n",
       "ID                       ...                                 \n",
       "1957      2  2007-05-17  ...               ES               -\n",
       "1958      2  2007-05-17  ...               RJ              MG\n",
       "1959      2  2007-05-17  ...               SP              RJ\n",
       "\n",
       "[3 rows x 10 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "par.loc[1957:1959] # Essas são as 3 partidas que aconteceram na segunda rodada de 2008 (por inspeção)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "pFUZOFqRYJeD"
   },
   "outputs": [],
   "source": [
    "par.loc[1957:1959]['Data']='2008-05-17' #Primeiro mudamos a data\n",
    "par=par.sort_values(['Data']) #Organizamos por data novamente\n",
    "par.index=list(range(1,7267)) #Reorganizando os IDs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nr44JXcHNxjY"
   },
   "source": [
    "Agora de \"estatísticas\", vamos remover as duplicatas e as linhas com NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "S-XXRgzZRH3f",
    "outputId": "4846cb1e-0dbd-492e-e8bd-082eff29d26e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mandante              0\n",
       "Chutes               52\n",
       "Posse de bola        52\n",
       "Passes               52\n",
       "Faltas               52\n",
       "Cartões amarelos     52\n",
       "Cartões vermelhos    52\n",
       "Impedimentos         52\n",
       "Escanteios           52\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "BiHc4R8vQG_R"
   },
   "outputs": [],
   "source": [
    "est=est.dropna(axis=0,how='any')\n",
    "est.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Av1cnCw3-EmH"
   },
   "source": [
    "Substituindo Data por Temporada. Obs.: toda temporada acontece no ano correspondente, com exceção de 2020, que, por conta da pandemia, durou até os primeiros meses de 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "yBOr8VdH-Hmo"
   },
   "outputs": [],
   "source": [
    "temporada=[]\n",
    "for i in par.index:\n",
    "  temporada.append(par.loc[i][1][:4])\n",
    "par.insert(2,'Temporada',temporada,True)\n",
    "par.replace(to_replace='2021', value = '2020',inplace=True) #Substituindo os valores 2021 para 2020\n",
    "\n",
    "temporada=[]\n",
    "for i in est.index:\n",
    "  temporada.append(par.loc[i][1][:4])\n",
    "est.insert(0,'Temporada',temporada,True)\n",
    "est.replace(to_replace='2021', value = '2020',inplace=True)\n",
    "\n",
    "par['Rodada']=par['Rodada'].astype(int) # Transformando os dados em inteiros\n",
    "par['Temporada']=par['Temporada'].astype(int)\n",
    "est['Temporada']=est['Temporada'].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U0BNZSRy8FWF"
   },
   "source": [
    "Verificando se os IDs de \"par\" e \"est\" estão alinhados: a partida que \"par\" deve retornar com o primeiro ID disponível em \"est\" deve ser a primeira partida da temporada de 2015. Verificou-se externamente que os dados batem perfeitamente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "JosbPQ5kN89d",
    "outputId": "6024e132-494d-4cb8-d06d-4ccd5eee04f0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rodada                        1\n",
       "Data                 2015-05-09\n",
       "Temporada                  2015\n",
       "Mandante              Palmeiras\n",
       "Visitante           Atlético-MG\n",
       "Vencedor                      -\n",
       "Mandante Placar               2\n",
       "Visitante Placar              2\n",
       "Estado Mandante              SP\n",
       "Estado Visitante             MG\n",
       "Estado Vencedor               -\n",
       "Name: 4987, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "par.loc[4987] #Primeira partida da temporada de 2015"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PvBjG6rH7JUu"
   },
   "source": [
    "Verificando se \"est\" tem todos os jogos das temporadas de 2015 até 2020:\n",
    "10 partidas por rodada, 38 rodadas no campeonato, 6 temporadas, multiplicamos por 2 porque em est cada ID aparece 2 vezes e subtraímos por 52 que foi o número de partidas descartadas. O resultado deve ser o número de linhas de \"est\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2DlOxDF97QqP",
    "outputId": "34ca8d83-96b6-4651-9049-a8c779613dfc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4508"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "10*38*6*2-52"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uy27Mo9d7t2W"
   },
   "source": [
    "Adicionando uma coluna \"Equipe\" em \"est\" ao lado de \"Mandante\" que indica a equipe correspondente com os dados daquela linha."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "7TSVKEPetBhn"
   },
   "outputs": [],
   "source": [
    "IDsEst=[]\n",
    "for i in est.index:\n",
    "  if i not in IDsEst:\n",
    "    IDsEst.append(i)\n",
    "time=[]\n",
    "for i in IDsEst:\n",
    "  time.append(par.loc[i][3])\n",
    "  time.append(par.loc[i][4])\n",
    "est.insert(1,\"Equipe\",time,True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 455
    },
    "id": "8T6Bw04M6esX",
    "outputId": "1393ddb0-4728-44ca-e79a-5ed51cf08ba3"
   },
   "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>Temporada</th>\n",
       "      <th>Equipe</th>\n",
       "      <th>Mandante</th>\n",
       "      <th>Chutes</th>\n",
       "      <th>Posse de bola</th>\n",
       "      <th>Passes</th>\n",
       "      <th>Faltas</th>\n",
       "      <th>Cartões amarelos</th>\n",
       "      <th>Cartões vermelhos</th>\n",
       "      <th>Impedimentos</th>\n",
       "      <th>Escanteios</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4987</th>\n",
       "      <td>2015</td>\n",
       "      <td>Palmeiras</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "      <td>50%</td>\n",
       "      <td>406.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4987</th>\n",
       "      <td>2015</td>\n",
       "      <td>Atlético-MG</td>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>50%</td>\n",
       "      <td>426.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4988</th>\n",
       "      <td>2015</td>\n",
       "      <td>Chapecoense</td>\n",
       "      <td>1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>45%</td>\n",
       "      <td>326.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4988</th>\n",
       "      <td>2015</td>\n",
       "      <td>Coritiba</td>\n",
       "      <td>0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>55%</td>\n",
       "      <td>388.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4989</th>\n",
       "      <td>2015</td>\n",
       "      <td>Fluminense</td>\n",
       "      <td>1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>74%</td>\n",
       "      <td>702.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7264</th>\n",
       "      <td>2020</td>\n",
       "      <td>Fortaleza</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>56%</td>\n",
       "      <td>480.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7265</th>\n",
       "      <td>2020</td>\n",
       "      <td>Bragantino</td>\n",
       "      <td>0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>53%</td>\n",
       "      <td>505.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7265</th>\n",
       "      <td>2020</td>\n",
       "      <td>Grêmio</td>\n",
       "      <td>1</td>\n",
       "      <td>12.0</td>\n",
       "      <td>47%</td>\n",
       "      <td>469.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7266</th>\n",
       "      <td>2020</td>\n",
       "      <td>Atlético-GO</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>44%</td>\n",
       "      <td>435.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7266</th>\n",
       "      <td>2020</td>\n",
       "      <td>Coritiba</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>56%</td>\n",
       "      <td>556.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4508 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Temporada       Equipe  ...  Impedimentos  Escanteios\n",
       "ID                            ...                          \n",
       "4987       2015    Palmeiras  ...           2.0        11.0\n",
       "4987       2015  Atlético-MG  ...           4.0         2.0\n",
       "4988       2015  Chapecoense  ...           3.0         3.0\n",
       "4988       2015     Coritiba  ...           0.0         5.0\n",
       "4989       2015   Fluminense  ...           1.0         5.0\n",
       "...         ...          ...  ...           ...         ...\n",
       "7264       2020    Fortaleza  ...           2.0         8.0\n",
       "7265       2020   Bragantino  ...           2.0         7.0\n",
       "7265       2020       Grêmio  ...           0.0         5.0\n",
       "7266       2020  Atlético-GO  ...           1.0         4.0\n",
       "7266       2020     Coritiba  ...           1.0         7.0\n",
       "\n",
       "[4508 rows x 11 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2qljqvUL8ixX"
   },
   "source": [
    "Toda limpeza e organização dos dados foi concluída. Partiremos para a formulação das funções que utilizaremos.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Uq8m5tnZRuou"
   },
   "source": [
    "# Funções"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rxSu-xmoGbag"
   },
   "source": [
    "Função que isola todas as partidas de uma temporada até a rodada informada:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "q5sIP8gT2Klf"
   },
   "outputs": [],
   "source": [
    "def fjogos(temporada,rodada):\n",
    "  jogos=par[(par['Temporada']==temporada) & (par['Rodada']<=rodada)]\n",
    "  jogos.index.name='ID'\n",
    "  return jogos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UdeWEH3E8ZYO"
   },
   "source": [
    "Função que recebe a temporada e a rodada e retorna a tabela ao final da rodada informada:\n",
    "\n",
    "* Observação: há 14 casos de decisões judiciais que alteraram as pontuações de certas equipes em algumas edições. Essas alterações não serão ignoradas, serão adicionadas manualmente no script da função, mas serão consideradas apenas após a última rodada do campeonato. Exemplo: se o Fluminense foi punido com -3 pontos na edição de 2003 após a 31ª rodada, esses pontos só serão descontados após a **última** rodada."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "s3SqtGcFypyN"
   },
   "outputs": [],
   "source": [
    "def montaTabela(temporada,rodada):\n",
    "  if temporada==2003 or temporada==2004:\n",
    "    nTimes=24\n",
    "  if temporada==2005:\n",
    "    nTimes=22\n",
    "  if temporada>2005:\n",
    "    nTimes=20\n",
    "  jogos=fjogos(temporada,rodada)\n",
    "  times=[]\n",
    "  tabela=pd.DataFrame()\n",
    "  for i in par[(par['Temporada']==temporada)]['Mandante']:\n",
    "    if i not in times:\n",
    "      times.append(i)\n",
    "  tabela['Equipe']=times\n",
    "  tabela['Pontos']=[0]*nTimes\n",
    "  tabela['Jogos']=[0]*nTimes\n",
    "  tabela['Vitórias']=[0]*nTimes\n",
    "  tabela['Empates']=[0]*nTimes\n",
    "  tabela['Derrotas']=[0]*nTimes\n",
    "  tabela['Vitórias']=[0]*nTimes\n",
    "  tabela['GP']=[0]*nTimes\n",
    "  tabela['GC']=[0]*nTimes\n",
    "  tabela['SG']=[0]*nTimes\n",
    "  tabela.index=tabela['Equipe']\n",
    "  tabela.drop('Equipe', axis=1, inplace=True)\n",
    "  for i in jogos.index:\n",
    "    if par.loc[i]['Vencedor']!='-': #Não empate\n",
    "      vencedor=par.loc[i]['Vencedor']\n",
    "      if vencedor==par.loc[i]['Mandante']:\n",
    "        perdedor=par.loc[i]['Visitante']\n",
    "        tabela.loc[vencedor]['GP']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[perdedor]['GC']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[perdedor]['GP']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[vencedor]['GC']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[vencedor]['SG']+=(jogos.loc[i]['Mandante Placar']-jogos.loc[i]['Visitante Placar'])\n",
    "        tabela.loc[perdedor]['SG']+=(jogos.loc[i]['Visitante Placar']-jogos.loc[i]['Mandante Placar'])\n",
    "      if vencedor==par.loc[i]['Visitante']:\n",
    "        perdedor=par.loc[i]['Mandante']\n",
    "        tabela.loc[vencedor]['GP']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[perdedor]['GC']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[perdedor]['GP']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[vencedor]['GC']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[vencedor]['SG']+=(jogos.loc[i]['Visitante Placar']-jogos.loc[i]['Mandante Placar'])\n",
    "        tabela.loc[perdedor]['SG']+=(jogos.loc[i]['Mandante Placar']-jogos.loc[i]['Visitante Placar'])\n",
    "      tabela.loc[vencedor]['Pontos']+=3\n",
    "      tabela.loc[vencedor]['Jogos']+=1\n",
    "      tabela.loc[vencedor]['Vitórias']+=1\n",
    "      tabela.loc[perdedor]['Jogos']+=1\n",
    "      tabela.loc[perdedor]['Derrotas']+=1\n",
    "    if par.loc[i]['Vencedor']=='-': #Empate\n",
    "      casa=par.loc[i]['Mandante']\n",
    "      fora=par.loc[i]['Visitante']\n",
    "      tabela.loc[casa]['Pontos']+=1\n",
    "      tabela.loc[fora]['Pontos']+=1\n",
    "      tabela.loc[casa]['Jogos']+=1\n",
    "      tabela.loc[fora]['Jogos']+=1\n",
    "      tabela.loc[casa]['Empates']+=1\n",
    "      tabela.loc[fora]['Empates']+=1\n",
    "      tabela.loc[casa]['GP']+=jogos.loc[i]['Mandante Placar']\n",
    "      tabela.loc[casa]['GC']+=jogos.loc[i]['Visitante Placar']\n",
    "      tabela.loc[fora]['GP']+=jogos.loc[i]['Visitante Placar']\n",
    "      tabela.loc[fora]['GC']+=jogos.loc[i]['Mandante Placar']\n",
    "  if temporada==2003:\n",
    "    tabela.loc['Fluminense']['Pontos']+=2 # Escalação irregular por parte do Paysandu\t\n",
    "    tabela.loc['Paysandu']['Pontos']-=8 # Escalação irregular de jogadores\t\n",
    "    tabela.loc['Ponte Preta']['Pontos']-=4 # Escalação irregular de jogadores\t\n",
    "    tabela.loc['Ponte Preta']['Pontos']+=3 # Escalação irregular por parte do Paysandu\t\n",
    "    tabela.loc['Juventude']['Pontos']+=3 # Escalação irregular por parte da Ponte Preta\t\n",
    "    tabela.loc['São Caetano']['Pontos']+=3 # Escalação irregular por parte do Paysandu\t\n",
    "    tabela.loc['Internacional']['Pontos']+=2 # Escalação irregular por parte da Ponte Preta\t\n",
    "    tabela.loc['Corinthians']['Pontos']+=2 # Escalação irregular por parte do Paysandu\t\n",
    "  if temporada==2004:\n",
    "    tabela.loc['São Caetano']['Pontos']-=24 # Escalação irregular de jogador (Serginho)\t\n",
    "  if temporada==2005:\n",
    "    tabela.loc['Brasiliense']['Pontos']-=1 # Venda irregular de ingressos diante do Vasco\t\n",
    "    tabela.loc['Vasco']['Pontos']+=2 # Venda irregular de ingressos por parte do Brasiliense\t\n",
    "  if temporada==2010:\n",
    "    tabela.loc['Grêmio Prudente']['Pontos']-=3 # Escalação irregular de jogadores\t\n",
    "  if temporada==2013:\n",
    "    tabela.loc['Flamengo']['Pontos']-=4 # Escalação irregular de jogadores\t\n",
    "    tabela.loc['Portuguesa']['Pontos']-=4 # Escalação irregular de jogadores\t\n",
    "  return tabela.sort_values(by=['Pontos','Vitórias','SG','GP'] , ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 708
    },
    "id": "YzqtMKurlMpZ",
    "outputId": "278ca977-2e4c-47ba-88da-053391f4f5bb"
   },
   "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>Pontos</th>\n",
       "      <th>Jogos</th>\n",
       "      <th>Vitórias</th>\n",
       "      <th>Empates</th>\n",
       "      <th>Derrotas</th>\n",
       "      <th>GP</th>\n",
       "      <th>GC</th>\n",
       "      <th>SG</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Equipe</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cruzeiro</th>\n",
       "      <td>76</td>\n",
       "      <td>38</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>77</td>\n",
       "      <td>37</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grêmio</th>\n",
       "      <td>65</td>\n",
       "      <td>38</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>42</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Athlético-PR</th>\n",
       "      <td>64</td>\n",
       "      <td>38</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>65</td>\n",
       "      <td>49</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Botafogo-RJ</th>\n",
       "      <td>61</td>\n",
       "      <td>38</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>41</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vitória</th>\n",
       "      <td>59</td>\n",
       "      <td>38</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>59</td>\n",
       "      <td>53</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goiás</th>\n",
       "      <td>59</td>\n",
       "      <td>38</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>48</td>\n",
       "      <td>44</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Santos</th>\n",
       "      <td>57</td>\n",
       "      <td>38</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atlético-MG</th>\n",
       "      <td>57</td>\n",
       "      <td>38</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>49</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>São Paulo</th>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>40</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corinthians</th>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coritiba</th>\n",
       "      <td>48</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>42</td>\n",
       "      <td>45</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahia</th>\n",
       "      <td>48</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>37</td>\n",
       "      <td>45</td>\n",
       "      <td>-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Internacional</th>\n",
       "      <td>48</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>52</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Criciúma</th>\n",
       "      <td>46</td>\n",
       "      <td>38</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>49</td>\n",
       "      <td>63</td>\n",
       "      <td>-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fluminense</th>\n",
       "      <td>46</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "      <td>47</td>\n",
       "      <td>-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flamengo</th>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>46</td>\n",
       "      <td>-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portuguesa</th>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>46</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vasco</th>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>50</td>\n",
       "      <td>61</td>\n",
       "      <td>-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ponte Preta</th>\n",
       "      <td>37</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>37</td>\n",
       "      <td>55</td>\n",
       "      <td>-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Náutico</th>\n",
       "      <td>20</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>22</td>\n",
       "      <td>79</td>\n",
       "      <td>-57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Pontos  Jogos  Vitórias  Empates  Derrotas  GP  GC  SG\n",
       "Equipe                                                               \n",
       "Cruzeiro           76     38        23        7         8  77  37  40\n",
       "Grêmio             65     38        18       11         9  42  35   7\n",
       "Athlético-PR       64     38        18       10        10  65  49  16\n",
       "Botafogo-RJ        61     38        17       10        11  55  41  14\n",
       "Vitória            59     38        16       11        11  59  53   6\n",
       "Goiás              59     38        16       11        11  48  44   4\n",
       "Santos             57     38        15       12        11  51  38  13\n",
       "Atlético-MG        57     38        15       12        11  49  38  11\n",
       "São Paulo          50     38        14        8        16  39  40  -1\n",
       "Corinthians        50     38        11       17        10  27  22   5\n",
       "Coritiba           48     38        12       12        14  42  45  -3\n",
       "Bahia              48     38        12       12        14  37  45  -8\n",
       "Internacional      48     38        11       15        12  51  52  -1\n",
       "Criciúma           46     38        13        7        18  49  63 -14\n",
       "Fluminense         46     38        12       10        16  43  47  -4\n",
       "Flamengo           45     38        12       13        13  43  46  -3\n",
       "Portuguesa         44     38        12       12        14  50  46   4\n",
       "Vasco              44     38        11       11        16  50  61 -11\n",
       "Ponte Preta        37     38         9       10        19  37  55 -18\n",
       "Náutico            20     38         5        5        28  22  79 -57"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "montaTabela(2013,38)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "23tpmp8RJHsC"
   },
   "source": [
    "Função que recebe temporada e rodada e retorna times que foram líderes pelo menos uma vez e por quantas partidas lideraram:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "mqDyJAZi3q0V"
   },
   "outputs": [],
   "source": [
    "def vezesLíder(temporada,rodada):\n",
    "  times2=[]\n",
    "  tabela2=pd.DataFrame()\n",
    "  for i in par[(par['Temporada']==temporada)]['Mandante']:\n",
    "      if i not in times2:\n",
    "        times2.append(i)\n",
    "  tabela2['Equipe']=times2\n",
    "  tabela2['Líder']=[0]*20\n",
    "  tabela2.index=tabela2['Equipe']\n",
    "  tabela2.drop('Equipe', axis=1, inplace=True)\n",
    "  for i in range(1,rodada+1):\n",
    "    lider=montaTabela(temporada,i)\n",
    "    liderdavez=lider.index[0]\n",
    "    tabela2.loc[liderdavez]['Líder']+=1\n",
    "  for i in tabela2.index:\n",
    "    if tabela2.loc[i]['Líder']==0:\n",
    "      tabela2=tabela2.drop(i)\n",
    "  return tabela2.sort_values(by='Líder' , ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cT3GOpyrLXzW"
   },
   "source": [
    "Função que recebe temporada e tipo de dados, nesse caso, impedimentos ('i'), cartões amarelos ('ca'), cartões vermelhos ('cv') e faltas ('f'), e retorna o número de vezes que essas infrações ocorreram na temporada."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "WnCKlf-jMAFb"
   },
   "outputs": [],
   "source": [
    "def contaDados(temporada,tipo): #'i' para impedimentos, 'ca' para cartões amarelos, 'cv' para cartões vermelhos, 'f' para faltas\n",
    "  if tipo=='i':\n",
    "    dado='Impedimentos'\n",
    "  if tipo=='ca':\n",
    "    dado='Cartões amarelos'\n",
    "  if tipo=='cv':\n",
    "    dado='Cartões vermelhos'\n",
    "  if tipo=='f':\n",
    "    dado='Faltas'\n",
    "  temp=fjogos(temporada,38)\n",
    "  return int(est.loc[temp.iloc[0].name:temp.iloc[-1].name][dado].sum())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3VQ49vS5MGRO"
   },
   "source": [
    "Função que recebe temporada e tipo de dados, nesse caso, impedimentos ('i'), cartões amarelos ('ca'), cartões vermelhos ('cv'), faltas ('f') e passes ('p'), e retorna os times com os maiores números observados para o tipo de dado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "vi1_s2w2MIQG"
   },
   "outputs": [],
   "source": [
    "def contaDadosTop(temporada,tipo): #'i' para impedimentos, 'ca' para cartões amarelos, 'cv' para cartões vermelhos, 'f' para faltas, 'p' para passes\n",
    "  times={}\n",
    "  if tipo=='i':\n",
    "    dado='Impedimentos'\n",
    "  if tipo=='ca':\n",
    "    dado='Cartões amarelos'\n",
    "  if tipo=='cv':\n",
    "    dado='Cartões vermelhos'\n",
    "  if tipo=='f':\n",
    "    dado='Faltas'\n",
    "  if tipo=='p':\n",
    "    dado='Passes'\n",
    "  temp=fjogos(2016,38)\n",
    "  base=est.loc[temp.iloc[0].name:temp.iloc[-1].name]\n",
    "  a=base.groupby('Equipe').sum().astype(int)\n",
    "  return a[dado].sort_values(0,ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fxj0h-l8NQnv",
    "outputId": "fac7c286-12f8-4227-e34a-b8aa696a2dc9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Equipe\n",
       "Palmeiras        642\n",
       "Ponte Preta      632\n",
       "São Paulo        628\n",
       "Botafogo-RJ      626\n",
       "Vitória          620\n",
       "Internacional    617\n",
       "Fluminense       616\n",
       "Santa Cruz       610\n",
       "Atlético-MG      610\n",
       "Coritiba         609\n",
       "Figueirense      596\n",
       "Grêmio           593\n",
       "Sport            589\n",
       "Chapecoense      586\n",
       "Athlético-PR     585\n",
       "Flamengo         554\n",
       "Corinthians      540\n",
       "América-MG       535\n",
       "Cruzeiro         530\n",
       "Santos           514\n",
       "Name: Faltas, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contaDadosTop(2016,'f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9CYM2S9tcUnX",
    "outputId": "b68619a3-9ab6-4c24-e6e8-5b33e73a4f6b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([97, 93, 85, 84, 82])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contaDadosTop(2016,'i').nlargest(5).values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BoWnE5pfgW0S"
   },
   "source": [
    "Partindo para a construção de relações e visualização de dados. Vamos começar com a tabela acumulada do Campeonato Brasileiro desde o início dos pontos corridos. Em outras palavras, a tabela do campeonato hoje juntando as pontuações de cada time de cada temporada até 2020."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VBR8bcJ4LVRt"
   },
   "source": [
    "# Tabela acumulada dos pontos corridos até 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "bfa8GrhsA6pq"
   },
   "outputs": [],
   "source": [
    "tabela=pd.DataFrame()\n",
    "times=par.Mandante.unique()\n",
    "nTimes=len(times)\n",
    "participacoes={}\n",
    "for i in times:\n",
    "  participacoes[i]=0\n",
    "tabela['Pontos']=[0]*nTimes\n",
    "tabela['Jogos']=[0]*nTimes\n",
    "tabela['Vitórias']=[0]*nTimes\n",
    "tabela['Empates']=[0]*nTimes\n",
    "tabela['Derrotas']=[0]*nTimes\n",
    "tabela['Vitórias']=[0]*nTimes\n",
    "tabela['GP']=[0]*nTimes\n",
    "tabela['GC']=[0]*nTimes\n",
    "tabela['SG']=[0]*nTimes\n",
    "tabela['Edições']=[0]*nTimes\n",
    "tabela.index=times\n",
    "for temporada in list(range(2003,2020+1)):\n",
    "  if temporada==2003:\n",
    "    rodada=46\n",
    "  if temporada==2004:\n",
    "    rodada=46\n",
    "  if temporada==2005:\n",
    "    rodada=42\n",
    "  if temporada>2005:\n",
    "    rodada=38\n",
    "  jogos=fjogos(temporada,rodada)\n",
    "  participantes=jogos.Mandante.unique() #Times que participaram da temporada\n",
    "  for i in participantes:\n",
    "    participacoes[i]+=1\n",
    "  for i in jogos.index:\n",
    "    if par.loc[i]['Vencedor']!='-': #Não empate\n",
    "      vencedor=par.loc[i]['Vencedor']\n",
    "      if vencedor==par.loc[i]['Mandante']:\n",
    "        perdedor=par.loc[i]['Visitante']\n",
    "        tabela.loc[vencedor]['GP']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[perdedor]['GC']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[perdedor]['GP']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[vencedor]['GC']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[vencedor]['SG']+=(jogos.loc[i]['Mandante Placar']-jogos.loc[i]['Visitante Placar'])\n",
    "        tabela.loc[perdedor]['SG']+=(jogos.loc[i]['Visitante Placar']-jogos.loc[i]['Mandante Placar'])\n",
    "      if vencedor==par.loc[i]['Visitante']:\n",
    "        perdedor=par.loc[i]['Mandante']\n",
    "        tabela.loc[vencedor]['GP']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[perdedor]['GC']+=jogos.loc[i]['Visitante Placar']\n",
    "        tabela.loc[perdedor]['GP']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[vencedor]['GC']+=jogos.loc[i]['Mandante Placar']\n",
    "        tabela.loc[vencedor]['SG']+=(jogos.loc[i]['Visitante Placar']-jogos.loc[i]['Mandante Placar'])\n",
    "        tabela.loc[perdedor]['SG']+=(jogos.loc[i]['Mandante Placar']-jogos.loc[i]['Visitante Placar'])\n",
    "      tabela.loc[vencedor]['Pontos']+=3\n",
    "      tabela.loc[vencedor]['Jogos']+=1\n",
    "      tabela.loc[vencedor]['Vitórias']+=1\n",
    "      tabela.loc[perdedor]['Jogos']+=1\n",
    "      tabela.loc[perdedor]['Derrotas']+=1\n",
    "    if par.loc[i]['Vencedor']=='-': #Empate\n",
    "      casa=par.loc[i]['Mandante']\n",
    "      fora=par.loc[i]['Visitante']\n",
    "      tabela.loc[casa]['Pontos']+=1\n",
    "      tabela.loc[fora]['Pontos']+=1\n",
    "      tabela.loc[casa]['Jogos']+=1\n",
    "      tabela.loc[fora]['Jogos']+=1\n",
    "      tabela.loc[casa]['Empates']+=1\n",
    "      tabela.loc[fora]['Empates']+=1\n",
    "      tabela.loc[casa]['GP']+=jogos.loc[i]['Mandante Placar']\n",
    "      tabela.loc[casa]['GC']+=jogos.loc[i]['Visitante Placar']\n",
    "      tabela.loc[fora]['GP']+=jogos.loc[i]['Visitante Placar']\n",
    "      tabela.loc[fora]['GC']+=jogos.loc[i]['Mandante Placar']\n",
    "# Decisões Judiciais:\n",
    "  if temporada==2003:\n",
    "    tabela.loc['Fluminense']['Pontos']+=2 # Escalação irregular por parte do Paysandu\t\n",
    "    tabela.loc['Paysandu']['Pontos']-=8 # Escalação irregular de jogadores\t\n",
    "    tabela.loc['Ponte Preta']['Pontos']-=4 # Escalação irregular de jogadores\t\n",
    "    tabela.loc['Ponte Preta']['Pontos']+=3 # Escalação irregular por parte do Paysandu\t\n",
    "    tabela.loc['Juventude']['Pontos']+=3 # Escalação irregular por parte da Ponte Preta\t\n",
    "    tabela.loc['São Caetano']['Pontos']+=3 # Escalação irregular por parte do Paysandu\t\n",
    "    tabela.loc['Internacional']['Pontos']+=2 # Escalação irregular por parte da Ponte Preta\t\n",
    "    tabela.loc['Corinthians']['Pontos']+=2 # Escalação irregular por parte do Paysandu\t\n",
    "  if temporada==2004:\n",
    "    tabela.loc['São Caetano']['Pontos']-=24 # Escalação irregular de jogador (Serginho)\t\n",
    "  if temporada==2005:\n",
    "    tabela.loc['Brasiliense']['Pontos']-=1 # Venda irregular de ingressos diante do Vasco\t\n",
    "    tabela.loc['Vasco']['Pontos']+=2 # Venda irregular de ingressos por parte do Brasiliense\t\n",
    "  if temporada==2010:\n",
    "    tabela.loc['Grêmio Prudente']['Pontos']-=3 # Escalação irregular de jogadores\t\n",
    "  if temporada==2013:\n",
    "    tabela.loc['Flamengo']['Pontos']-=4 # Escalação irregular de jogadores\t\n",
    "    tabela.loc['Portuguesa']['Pontos']-=4 # Escalação irregular de jogadores\n",
    "tabelaAcumulada=tabela.sort_values(by=['Pontos','Vitórias','SG','GP'] , ascending=False)\n",
    "for i in participacoes:\n",
    "  tabelaAcumulada.loc[i]['Edições']=participacoes[i]\n",
    "tabelaAcumulada.insert(0,'Equipe',tabelaAcumulada.index,True)\n",
    "tabelaAcumulada.index=list(range(1,len(tabelaAcumulada)+1))\n",
    "tabelaAcumulada.index.name='Colocação'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "TyEV0M7qfD8t",
    "outputId": "c01487b3-533d-4ff4-cc1f-ed8712274760"
   },
   "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>Equipe</th>\n",
       "      <th>Pontos</th>\n",
       "      <th>Jogos</th>\n",
       "      <th>Vitórias</th>\n",
       "      <th>Empates</th>\n",
       "      <th>Derrotas</th>\n",
       "      <th>GP</th>\n",
       "      <th>GC</th>\n",
       "      <th>SG</th>\n",
       "      <th>Edições</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colocação</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>São Paulo</td>\n",
       "      <td>1169</td>\n",
       "      <td>704</td>\n",
       "      <td>327</td>\n",
       "      <td>188</td>\n",
       "      <td>189</td>\n",
       "      <td>1037</td>\n",
       "      <td>760</td>\n",
       "      <td>277</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Santos</td>\n",
       "      <td>1097</td>\n",
       "      <td>704</td>\n",
       "      <td>305</td>\n",
       "      <td>182</td>\n",
       "      <td>217</td>\n",
       "      <td>1060</td>\n",
       "      <td>837</td>\n",
       "      <td>223</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Flamengo</td>\n",
       "      <td>1080</td>\n",
       "      <td>704</td>\n",
       "      <td>296</td>\n",
       "      <td>196</td>\n",
       "      <td>212</td>\n",
       "      <td>984</td>\n",
       "      <td>845</td>\n",
       "      <td>139</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Internacional</td>\n",
       "      <td>1045</td>\n",
       "      <td>666</td>\n",
       "      <td>292</td>\n",
       "      <td>167</td>\n",
       "      <td>207</td>\n",
       "      <td>893</td>\n",
       "      <td>734</td>\n",
       "      <td>159</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Corinthians</td>\n",
       "      <td>1037</td>\n",
       "      <td>666</td>\n",
       "      <td>281</td>\n",
       "      <td>192</td>\n",
       "      <td>193</td>\n",
       "      <td>868</td>\n",
       "      <td>712</td>\n",
       "      <td>156</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cruzeiro</td>\n",
       "      <td>1030</td>\n",
       "      <td>666</td>\n",
       "      <td>293</td>\n",
       "      <td>151</td>\n",
       "      <td>222</td>\n",
       "      <td>978</td>\n",
       "      <td>818</td>\n",
       "      <td>160</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Grêmio</td>\n",
       "      <td>1022</td>\n",
       "      <td>662</td>\n",
       "      <td>283</td>\n",
       "      <td>173</td>\n",
       "      <td>206</td>\n",
       "      <td>912</td>\n",
       "      <td>727</td>\n",
       "      <td>185</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fluminense</td>\n",
       "      <td>1001</td>\n",
       "      <td>704</td>\n",
       "      <td>270</td>\n",
       "      <td>189</td>\n",
       "      <td>245</td>\n",
       "      <td>946</td>\n",
       "      <td>906</td>\n",
       "      <td>40</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Atlético-MG</td>\n",
       "      <td>973</td>\n",
       "      <td>666</td>\n",
       "      <td>267</td>\n",
       "      <td>172</td>\n",
       "      <td>227</td>\n",
       "      <td>967</td>\n",
       "      <td>875</td>\n",
       "      <td>92</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Palmeiras</td>\n",
       "      <td>960</td>\n",
       "      <td>620</td>\n",
       "      <td>266</td>\n",
       "      <td>162</td>\n",
       "      <td>192</td>\n",
       "      <td>889</td>\n",
       "      <td>737</td>\n",
       "      <td>152</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Athlético-PR</td>\n",
       "      <td>955</td>\n",
       "      <td>666</td>\n",
       "      <td>266</td>\n",
       "      <td>157</td>\n",
       "      <td>243</td>\n",
       "      <td>892</td>\n",
       "      <td>829</td>\n",
       "      <td>63</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Botafogo-RJ</td>\n",
       "      <td>812</td>\n",
       "      <td>620</td>\n",
       "      <td>213</td>\n",
       "      <td>173</td>\n",
       "      <td>234</td>\n",
       "      <td>776</td>\n",
       "      <td>801</td>\n",
       "      <td>-25</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Vasco</td>\n",
       "      <td>767</td>\n",
       "      <td>590</td>\n",
       "      <td>196</td>\n",
       "      <td>177</td>\n",
       "      <td>217</td>\n",
       "      <td>747</td>\n",
       "      <td>832</td>\n",
       "      <td>-85</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Goiás</td>\n",
       "      <td>685</td>\n",
       "      <td>514</td>\n",
       "      <td>189</td>\n",
       "      <td>118</td>\n",
       "      <td>207</td>\n",
       "      <td>713</td>\n",
       "      <td>733</td>\n",
       "      <td>-20</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Coritiba</td>\n",
       "      <td>647</td>\n",
       "      <td>514</td>\n",
       "      <td>169</td>\n",
       "      <td>140</td>\n",
       "      <td>205</td>\n",
       "      <td>613</td>\n",
       "      <td>653</td>\n",
       "      <td>-40</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Figueirense</td>\n",
       "      <td>550</td>\n",
       "      <td>438</td>\n",
       "      <td>142</td>\n",
       "      <td>124</td>\n",
       "      <td>172</td>\n",
       "      <td>530</td>\n",
       "      <td>622</td>\n",
       "      <td>-92</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vitória</td>\n",
       "      <td>468</td>\n",
       "      <td>396</td>\n",
       "      <td>123</td>\n",
       "      <td>99</td>\n",
       "      <td>174</td>\n",
       "      <td>492</td>\n",
       "      <td>581</td>\n",
       "      <td>-89</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Sport</td>\n",
       "      <td>462</td>\n",
       "      <td>380</td>\n",
       "      <td>122</td>\n",
       "      <td>96</td>\n",
       "      <td>162</td>\n",
       "      <td>439</td>\n",
       "      <td>531</td>\n",
       "      <td>-92</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Ponte Preta</td>\n",
       "      <td>432</td>\n",
       "      <td>362</td>\n",
       "      <td>114</td>\n",
       "      <td>91</td>\n",
       "      <td>157</td>\n",
       "      <td>414</td>\n",
       "      <td>534</td>\n",
       "      <td>-120</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Bahia</td>\n",
       "      <td>415</td>\n",
       "      <td>350</td>\n",
       "      <td>104</td>\n",
       "      <td>103</td>\n",
       "      <td>143</td>\n",
       "      <td>388</td>\n",
       "      <td>461</td>\n",
       "      <td>-73</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Paraná</td>\n",
       "      <td>304</td>\n",
       "      <td>248</td>\n",
       "      <td>83</td>\n",
       "      <td>55</td>\n",
       "      <td>110</td>\n",
       "      <td>312</td>\n",
       "      <td>369</td>\n",
       "      <td>-57</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chapecoense</td>\n",
       "      <td>273</td>\n",
       "      <td>228</td>\n",
       "      <td>69</td>\n",
       "      <td>66</td>\n",
       "      <td>93</td>\n",
       "      <td>234</td>\n",
       "      <td>292</td>\n",
       "      <td>-58</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Juventude</td>\n",
       "      <td>266</td>\n",
       "      <td>210</td>\n",
       "      <td>71</td>\n",
       "      <td>50</td>\n",
       "      <td>89</td>\n",
       "      <td>268</td>\n",
       "      <td>327</td>\n",
       "      <td>-59</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Fortaleza</td>\n",
       "      <td>236</td>\n",
       "      <td>202</td>\n",
       "      <td>61</td>\n",
       "      <td>53</td>\n",
       "      <td>88</td>\n",
       "      <td>239</td>\n",
       "      <td>293</td>\n",
       "      <td>-54</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Avaí</td>\n",
       "      <td>236</td>\n",
       "      <td>228</td>\n",
       "      <td>57</td>\n",
       "      <td>65</td>\n",
       "      <td>106</td>\n",
       "      <td>240</td>\n",
       "      <td>355</td>\n",
       "      <td>-115</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Ceará</td>\n",
       "      <td>221</td>\n",
       "      <td>190</td>\n",
       "      <td>54</td>\n",
       "      <td>59</td>\n",
       "      <td>77</td>\n",
       "      <td>204</td>\n",
       "      <td>238</td>\n",
       "      <td>-34</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>São Caetano</td>\n",
       "      <td>215</td>\n",
       "      <td>172</td>\n",
       "      <td>65</td>\n",
       "      <td>41</td>\n",
       "      <td>66</td>\n",
       "      <td>209</td>\n",
       "      <td>199</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Atlético-GO</td>\n",
       "      <td>206</td>\n",
       "      <td>190</td>\n",
       "      <td>51</td>\n",
       "      <td>53</td>\n",
       "      <td>86</td>\n",
       "      <td>216</td>\n",
       "      <td>270</td>\n",
       "      <td>-54</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Náutico</td>\n",
       "      <td>200</td>\n",
       "      <td>190</td>\n",
       "      <td>54</td>\n",
       "      <td>38</td>\n",
       "      <td>98</td>\n",
       "      <td>224</td>\n",
       "      <td>318</td>\n",
       "      <td>-94</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Criciúma</td>\n",
       "      <td>188</td>\n",
       "      <td>168</td>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>80</td>\n",
       "      <td>194</td>\n",
       "      <td>264</td>\n",
       "      <td>-70</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Guarani</td>\n",
       "      <td>147</td>\n",
       "      <td>130</td>\n",
       "      <td>36</td>\n",
       "      <td>39</td>\n",
       "      <td>55</td>\n",
       "      <td>140</td>\n",
       "      <td>180</td>\n",
       "      <td>-40</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Paysandu</td>\n",
       "      <td>146</td>\n",
       "      <td>134</td>\n",
       "      <td>41</td>\n",
       "      <td>31</td>\n",
       "      <td>62</td>\n",
       "      <td>193</td>\n",
       "      <td>245</td>\n",
       "      <td>-52</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Portuguesa</td>\n",
       "      <td>127</td>\n",
       "      <td>114</td>\n",
       "      <td>31</td>\n",
       "      <td>38</td>\n",
       "      <td>45</td>\n",
       "      <td>137</td>\n",
       "      <td>157</td>\n",
       "      <td>-20</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>América-MG</td>\n",
       "      <td>105</td>\n",
       "      <td>114</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>59</td>\n",
       "      <td>104</td>\n",
       "      <td>174</td>\n",
       "      <td>-70</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Santa Cruz</td>\n",
       "      <td>59</td>\n",
       "      <td>76</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>47</td>\n",
       "      <td>86</td>\n",
       "      <td>145</td>\n",
       "      <td>-59</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Bragantino</td>\n",
       "      <td>53</td>\n",
       "      <td>38</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Barueri</td>\n",
       "      <td>49</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>59</td>\n",
       "      <td>52</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Santo André</td>\n",
       "      <td>41</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>46</td>\n",
       "      <td>61</td>\n",
       "      <td>-15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Brasiliense</td>\n",
       "      <td>41</td>\n",
       "      <td>42</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>49</td>\n",
       "      <td>68</td>\n",
       "      <td>-19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Ipatinga</td>\n",
       "      <td>35</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>37</td>\n",
       "      <td>67</td>\n",
       "      <td>-30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>CSA</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "      <td>58</td>\n",
       "      <td>-34</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Joinville</td>\n",
       "      <td>31</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>26</td>\n",
       "      <td>48</td>\n",
       "      <td>-22</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Grêmio Prudente</td>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>39</td>\n",
       "      <td>64</td>\n",
       "      <td>-25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>América-RN</td>\n",
       "      <td>17</td>\n",
       "      <td>38</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>29</td>\n",
       "      <td>24</td>\n",
       "      <td>80</td>\n",
       "      <td>-56</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Equipe  Pontos  Jogos  Vitórias  ...    GP   GC   SG  Edições\n",
       "Colocação                                            ...                         \n",
       "1                São Paulo    1169    704       327  ...  1037  760  277       18\n",
       "2                   Santos    1097    704       305  ...  1060  837  223       18\n",
       "3                 Flamengo    1080    704       296  ...   984  845  139       18\n",
       "4            Internacional    1045    666       292  ...   893  734  159       17\n",
       "5              Corinthians    1037    666       281  ...   868  712  156       17\n",
       "6                 Cruzeiro    1030    666       293  ...   978  818  160       17\n",
       "7                   Grêmio    1022    662       283  ...   912  727  185       17\n",
       "8               Fluminense    1001    704       270  ...   946  906   40       18\n",
       "9              Atlético-MG     973    666       267  ...   967  875   92       17\n",
       "10               Palmeiras     960    620       266  ...   889  737  152       16\n",
       "11            Athlético-PR     955    666       266  ...   892  829   63       17\n",
       "12             Botafogo-RJ     812    620       213  ...   776  801  -25       16\n",
       "13                   Vasco     767    590       196  ...   747  832  -85       15\n",
       "14                   Goiás     685    514       189  ...   713  733  -20       13\n",
       "15                Coritiba     647    514       169  ...   613  653  -40       13\n",
       "16             Figueirense     550    438       142  ...   530  622  -92       11\n",
       "17                 Vitória     468    396       123  ...   492  581  -89       10\n",
       "18                   Sport     462    380       122  ...   439  531  -92       10\n",
       "19             Ponte Preta     432    362       114  ...   414  534 -120        9\n",
       "20                   Bahia     415    350       104  ...   388  461  -73        9\n",
       "21                  Paraná     304    248        83  ...   312  369  -57        6\n",
       "22             Chapecoense     273    228        69  ...   234  292  -58        6\n",
       "23               Juventude     266    210        71  ...   268  327  -59        5\n",
       "24               Fortaleza     236    202        61  ...   239  293  -54        5\n",
       "25                    Avaí     236    228        57  ...   240  355 -115        6\n",
       "26                   Ceará     221    190        54  ...   204  238  -34        5\n",
       "27             São Caetano     215    172        65  ...   209  199   10        4\n",
       "28             Atlético-GO     206    190        51  ...   216  270  -54        5\n",
       "29                 Náutico     200    190        54  ...   224  318  -94        5\n",
       "30                Criciúma     188    168        50  ...   194  264  -70        4\n",
       "31                 Guarani     147    130        36  ...   140  180  -40        3\n",
       "32                Paysandu     146    134        41  ...   193  245  -52        3\n",
       "33              Portuguesa     127    114        31  ...   137  157  -20        3\n",
       "34              América-MG     105    114        25  ...   104  174  -70        3\n",
       "35              Santa Cruz      59     76        15  ...    86  145  -59        2\n",
       "36              Bragantino      53     38        13  ...    50   40   10        1\n",
       "37                 Barueri      49     38        12  ...    59   52    7        1\n",
       "38             Santo André      41     38        11  ...    46   61  -15        1\n",
       "39             Brasiliense      41     42        10  ...    49   68  -19        1\n",
       "40                Ipatinga      35     38         9  ...    37   67  -30        1\n",
       "41                     CSA      32     38         8  ...    24   58  -34        1\n",
       "42               Joinville      31     38         7  ...    26   48  -22        1\n",
       "43         Grêmio Prudente      28     38         7  ...    39   64  -25        1\n",
       "44              América-RN      17     38         4  ...    24   80  -56        1\n",
       "\n",
       "[44 rows x 10 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabelaAcumulada"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EdfLV0cN05gX"
   },
   "source": [
    "# Campeões nos pontos corridos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "A2caJ84408pe"
   },
   "outputs": [],
   "source": [
    "anos=list(range(2003,2020+1))\n",
    "campeoes=[]\n",
    "for ano in anos:\n",
    "  campeoes.append(montaTabela(ano,46).index[0])\n",
    "campeoesSemDuplicata=[]\n",
    "for i in campeoes:\n",
    "  if i not in campeoesSemDuplicata:\n",
    "    campeoesSemDuplicata.append(i)\n",
    "serieCampeoes=pd.Series()\n",
    "for i in campeoesSemDuplicata:\n",
    "  serieCampeoes.loc[i]=campeoes.count(i)\n",
    "serieCampeoes=serieCampeoes.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 477
    },
    "id": "JSu7X0ju2ezG",
    "outputId": "bec215f3-87be-4178-acd8-a86b7a3ff2a6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 468x468 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.figure(figsize=(6.5,6.5))\n",
    "height = 0.95\n",
    "plt.barh(y=serieCampeoes.index, width=serieCampeoes.values, height=height, color=(0.2, 0.4, 0.6, 0.6), align='center')\n",
    "plt.title('Campeões e títulos nos pontos corridos')\n",
    "plt.xlabel('Títulos')\n",
    "plt.xticks(range(1,5))\n",
    "for i, (label, value) in enumerate(zip(serieCampeoes.index, serieCampeoes.values)):\n",
    "  img = plt.imread(getPNG(label))\n",
    "  plt.imshow(img, extent=[value-0.7, value, i-height/2, i+height/2],aspect='auto', zorder=2)\n",
    "plt.xlim(0, max(serieCampeoes.values) * 1.25)\n",
    "plt.ylim(-0.5, len(serieCampeoes.index) - 0.5)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WWZYRTHhRaJu"
   },
   "source": [
    "# Análise de Competitividade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "hcdLD4WQDkyj"
   },
   "outputs": [],
   "source": [
    "pontos=pd.Series()\n",
    "for ano in range(2003,2020+1):\n",
    "  a=montaTabela(ano,46)['Pontos']\n",
    "  a.index=[ano]*len(a)\n",
    "  pontos=pontos.append(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 502
    },
    "id": "29C9i-bJOlkC",
    "outputId": "e386794e-220a-42ae-c166-aa44f7ff3a59"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "plt.plot(pontos,'s',color=(0.2, 0.4, 0.6, 0.6),marker='^')\n",
    "plt.xticks(range(2003,2021))\n",
    "plt.title('Distribuição de pontuações por temporada')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "tuU-QeRVaCi4"
   },
   "source": [
    "O gráfico acima nos permite visualizar a distribuição das pontuações ao final de cada temporada desde o início dos pontos corridos. A intenção do gráfico não é identificar as pontuações, mas sim visualizar o quão concentrados ou dispersas estão as pontuações. \\\n",
    "\\\n",
    "Podemos, então, ter uma noção superficial de quão competitiva foi a temporada, já que é de se esperar que, ao final de um campeonato competitivo, os times tenham pontuações semelhantes, proxímas umas das outras. No gráfico, isso implicaria nos traços da temporada correspondente mais próximos uns dos outros, mais concentrados. \\\n",
    "\\\n",
    "Poderíamos mensurar a dispersão dessas pontuações como uma medida da competitividade da temporada - grosseira, mas informativa em termos relativos. É isso que faremos a seguir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {
    "id": "sOyi1qWib0_o"
   },
   "outputs": [],
   "source": [
    "pontosStats=pd.DataFrame()\n",
    "pontosStats['Média']=0; pontosStats['Desvio Padrão']=0\n",
    "pontosStats\n",
    "for ano in range(2003,2020+1):\n",
    "  pontosStats.loc[ano]=[pontos[pontos.index==ano].mean(), pontos[pontos.index==ano].std()]\n",
    "pontosStats['Média Móvel']=pontosStats['Desvio Padrão'].rolling(7).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 395
    },
    "id": "TPjGxGx5tcaf",
    "outputId": "46c458cc-5d95-43bb-ab3f-adb52ec5a47b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f37524cd590>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.xticks(range(2003,2021))\n",
    "sns.lineplot(data=[pontosStats['Desvio Padrão'],pontosStats['Média Móvel']],palette=[(0.2,0.4,0.6,0.6),'#F5661D'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kt7DimYhqebu"
   },
   "source": [
    "Podemos ver no gráfico acima que os dois primeiros anos do Brasileirão na forma de pontos corridos, ambos com a participação de 24 equipes, tiveram um nível de estável de competição. No entanto, no ano de 2005, juntamente com a redução do número de participantes para 22 equipes, houve um aumento da competitividade do campeonato. Repare que, apesar de as primeiras competições terem tido mais times, isso não afeta a análise e não requer uma normalização das pontuações, pois nossa intenção é medir o quão distantes os pontos da média da temporada. Como a normalização respeita os intervalos entre os dados do conjunto, ela não alteraria o que estamos buscando mensurar. \\\n",
    "\\\n",
    "Vemos que 2009 e 2017 foram temporadas muito competitivas, mesmo que em 2009 os times do Z4 terminaram muito distantes dos outros e em 2017 os melhores times foram muito melhores (veja o gráfico da distribuição de pontos), principalmente o campeão, que foi o Corinthians. Isso se deve ao fato de toda a competição ter se concentrado, sobretudo, no meio da tabela. \\\n",
    "\\\n",
    "Além disso, vemos também, por meio da média móvel em 7 anos, que os últimos 10 anos o campeonato mostra uma tendência de diminuição da competitividade. Isso pode ser explicado pela escalabilidade do mercado de futebol, o que tem gerado uma desigualdade entre as equipes. Por outro lado, alguns clubes estão tendo mais visibilidade com a recente tendêcia de profissionalização da administração da diretoria e de implementação do modelo de clube-empresa, que já se mostrou bem-sucedido em outros países. Os maiores exemplos aqui no Brasil são o Red Bull Bragantino, que foi adquirido pela Red Bull e hoje é uma das equipes mais fortes do país, e o Cuiabá. Essa tendência, contudo, não se restringe somente aos times de menor expressividade, já que clubes como Botafogo, Vasco, Corinthians, etc. já visam a adoção desse modelo de gestão. Assim, caso mais times sigam esse modelo de gestão, é provável que futuramente a competitividade aumente, porém, como é um fenômeno ainda muito recente, não foi possível observar essa tendência claramente."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "y-RgRfG8MxGn"
   },
   "source": [
    "# Determinismo do 1º turno"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8NQQ_oIm830P"
   },
   "source": [
    "## O campeão"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s4Pl0wVgSqdL"
   },
   "source": [
    "Um padrão muito forte que pode ser observado na competição é que o líder ao final do primeiro turno, isto é, na metade do campeonato, geralmente conquista o título da temporada. Vamos visualizar essa relação."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 919
    },
    "id": "R3vxF53fUWhE",
    "outputId": "488aa23d-0b89-42f2-95ca-5111a31072a9"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Ano</th>\n",
       "      <th>Líder no 1º turno</th>\n",
       "      <th>Campeão</th>\n",
       "      <th>Ano</th>\n",
       "      <th>Líder no 1º turno</th>\n",
       "      <th>Campeão</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2003</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png\" width=\"60\" ></td>\n",
       "      <td>2012</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/5/5f/Atletico_mineiro_galo.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/thumb/a/a3/FFC_escudo.svg/1200px-FFC_escudo.svg.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2004</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/35/Santos_logo.svg/1200px-Santos_logo.svg.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/35/Santos_logo.svg/1200px-Santos_logo.svg.png\" width=\"60\" ></td>\n",
       "      <td>2013</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2005</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "      <td>2014</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/b/bc/Logo_Cruzeiro_1996.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2006</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td>2015</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2007</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td>2016</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/1/10/Palmeiras_logo.svg/1024px-Palmeiras_logo.svg.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/1/10/Palmeiras_logo.svg/1024px-Palmeiras_logo.svg.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2008</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/2/2e/Gremio-Logo.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td>2017</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2009</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/f/f1/Escudo_do_Sport_Club_Internacional.svg\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/9/93/Flamengo-RJ_%28BRA%29.png\" width=\"60\" ></td>\n",
       "      <td>2018</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/1/10/Palmeiras_logo.svg/1024px-Palmeiras_logo.svg.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2010</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/thumb/a/a3/FFC_escudo.svg/1200px-FFC_escudo.svg.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/thumb/a/a3/FFC_escudo.svg/1200px-FFC_escudo.svg.png\" width=\"60\" ></td>\n",
       "      <td>2019</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/9/93/Flamengo-RJ_%28BRA%29.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/9/93/Flamengo-RJ_%28BRA%29.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2011</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/b/b4/Corinthians_simbolo.png\" width=\"60\" ></td>\n",
       "      <td>2020</td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/pt/4/4b/S%C3%A3o_Paulo_Futebol_Clube.png\" width=\"60\" ></td>\n",
       "      <td><img src=\"https://upload.wikimedia.org/wikipedia/commons/9/93/Flamengo-RJ_%28BRA%29.png\" width=\"60\" ></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import display,HTML\n",
    "df=pd.DataFrame()\n",
    "df['Líder no 1º turno']=[0]*18\n",
    "df['Campeão']=[0]*18\n",
    "df.index=list(range(2003,2020+1))\n",
    "for i in range(2003,2020+1):\n",
    "  if i==2003 or i==2004:\n",
    "    meio=23\n",
    "  if i==2005:\n",
    "    meio=21\n",
    "  if i>2005:\n",
    "    meio=19\n",
    "  df.loc[i]=[getPNG(montaTabela(i,meio).index[0]),getPNG(montaTabela(i,2*meio).index[0])]\n",
    "df.insert(0,'Ano',df.index,True)\n",
    "df=pd.concat([df[:9].reset_index(drop=1),df[9:].reset_index(drop=1)], axis=1).fillna('')\n",
    "image_cols = ['Líder no 1º turno', 'Campeão']  # define as colunas que serão convertidas em html\n",
    "format_dict = {}\n",
    "for image_col in image_cols:\n",
    "    format_dict[image_col] = path_to_image_html\n",
    "display(HTML(df.to_html(escape=False ,formatters=format_dict,index=False)))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UBdrg8Ol9l5r"
   },
   "source": [
    "Apenas 5 vezes (de 18 edições) durante toda a história dos pontos corridos o líder na metade do campeonato não foi campeão do campeonato."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_E5JHNAz869p"
   },
   "source": [
    "## Os primeiros e os últimos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "ZzsfVGDxM26l"
   },
   "outputs": [],
   "source": [
    "primeirosFicam=[] # Esse bloco demora quase 4 minutos para rodar, mas funciona \n",
    "for i in range(2003,2020+1):\n",
    "  if i==2003 or i==2004:\n",
    "    meio=23\n",
    "  if i==2005:\n",
    "    meio=21\n",
    "  if i>2005:\n",
    "    meio=19\n",
    "  times=[]\n",
    "  for j in montaTabela(i,meio).index[:4]:\n",
    "    if j in montaTabela(i,2*meio).index[:4]:\n",
    "      times.append(j)\n",
    "  primeirosFicam.append(len(times))\n",
    "ultimosFicam=[]\n",
    "for i in range(2003,2020+1):\n",
    "  if i==2003 or i==2004:\n",
    "    meio=23\n",
    "  if i==2005:\n",
    "    meio=21\n",
    "  if i>2005:\n",
    "    meio=19\n",
    "  times=[]\n",
    "  for j in montaTabela(i,meio).index[-4:]:\n",
    "    if j in montaTabela(i,2*meio).index[-4:]:\n",
    "      times.append(j)\n",
    "  ultimosFicam.append(len(times))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 518
    },
    "id": "tfOMXmZd_OXo",
    "outputId": "910b157e-a2aa-457d-a1b8-0ab2fd68cbb1"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sintese=pd.DataFrame()\n",
    "sintese['Primeiros']=primeirosFicam\n",
    "sintese['Últimos']=ultimosFicam\n",
    "sintese.index=range(2003,2020+1)\n",
    "X = list(range(2003,2020+1))\n",
    "Y = sintese.Primeiros\n",
    "Z = sintese.Últimos\n",
    "X_axis = np.arange(len(X))\n",
    "plt.figure(figsize=(15,8))\n",
    "plt.bar(X_axis - 0.2, Y, 0.4, label = 'Primeiros')\n",
    "plt.bar(X_axis + 0.2, Z, 0.4, label = 'Últimos')\n",
    "plt.xticks(X_axis, X)\n",
    "plt.yticks(Y)\n",
    "plt.xlabel(\"Temporada\")\n",
    "plt.ylabel(\"Nº de Equipes\")\n",
    "plt.title(\"Nº de Equipes que permaneceram no G4 e Z4 desde fim do 1º turno\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6uO7NuPu9uKd"
   },
   "source": [
    "Estatísticamente, existe em torno de 72% de chances da equipe que terminou no primeiro turno no G4 de finalizar a competição entre os quatro primeiros. Analogamente, para o Z4, existem 62,5% de chances. \\\n",
    "Isso evidencia o quão decisiva é a campanha de uma equipe até a metade do campeonato. Quando a fase de um time é muito boa ou muito ruim, é díficil que esse cenário se reverta."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "W1yzR7y0ixUh"
   },
   "source": [
    "# Estatísticas Gerais"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hS1UqNLIi2Kv"
   },
   "source": [
    "## Relação entre mando de campo e resultado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 374
    },
    "id": "PU4550yImh0I",
    "outputId": "8b62a3cd-8eb2-4b90-edcd-6f14afb9b75a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vitoria=len(par[par['Mandante']==par['Vencedor']])/len(par)\n",
    "derrota=len(par[par['Visitante']==par['Vencedor']])/len(par)\n",
    "empate=len(par[par['Vencedor']=='-'])/len(par)\n",
    "labels=['Vitória','Derrota','Empate']\n",
    "sizes=[vitoria,derrota,empate]\n",
    "explode=(0.05, 0, 0)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.axis('equal')\n",
    "plt.title('Relação entre mando de campo e resultado')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6MmnaE86dFa8"
   },
   "source": [
    "Em média, os mandantes vencem metade dos jogos em casa."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3KLqRU0jqhCh"
   },
   "source": [
    "## Desempenho dos clubes mandantes\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "id": "e_eCxIFdqlhu"
   },
   "outputs": [],
   "source": [
    "vitoriasMandante=pd.DataFrame()\n",
    "vitoriasMandante['Vitórias']=[0]*len(par.Mandante.unique())\n",
    "vitoriasMandante['Empates']=[0]*len(par.Mandante.unique())\n",
    "vitoriasMandante['Derrotas']=[0]*len(par.Mandante.unique())\n",
    "vitoriasMandante.index=par.Mandante.unique()\n",
    "for i in vitoriasMandante.index:\n",
    "  vitoriasMandante.loc[i]['Vitórias']=len(par[(par.Mandante==i) & (par.Vencedor==i)])\n",
    "  vitoriasMandante.loc[i]['Empates']=len(par[(par.Mandante==i) & (par.Vencedor=='-')])\n",
    "  vitoriasMandante.loc[i]['Derrotas']=len(par[(par.Mandante==i) & (par.Vencedor!=i) & (par.Vencedor!='-')])\n",
    "vitoriasMandante=vitoriasMandante.sort_values(ascending=False, by='Vitórias')\n",
    "for i in vitoriasMandante.index:\n",
    "  vitoriasMandante.loc[i]=vitoriasMandante.loc[i]/len(par[par.Mandante==i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 611
    },
    "id": "7zD9pTPlHbbG",
    "outputId": "558f38f3-01f7-4481-aba4-b790748ab895"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = vitoriasMandante.nlargest(20,'Vitórias').sort_values('Vitórias').plot.barh(stacked=True, cmap='tab10', figsize=(16, 10),color={\"Vitórias\": \"#95E827\", \"Empates\": \"#FFCB1F\",'Derrotas': '#F5661D'})\n",
    "ax.set_title('Desempenho dos clubes mandantes')\n",
    "for p in ax.patches:\n",
    "    left, bottom, width, height = p.get_bbox().bounds\n",
    "    if width > 0:\n",
    "         ax.annotate(f'{width:.0%}',xy=(left+width/2, bottom+height/2), ha='center', va='center',color='black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HKvCbF2Q-CEn"
   },
   "source": [
    "Esse gráfico exibe as 20 equipes com o melhor índice de vítorias como mandante, também mostra a porcentagem de empates e derrotas. Pode-se perceber a dominância das equipes gaúchas e paulistas com o mando de campo. Além disso, também é possível perceber que o Barueri, que não disputou muitas temporadas quantos os outros times mais tradicionais, é a equipe que possui menos derrotas relativamente. Isso demonstra que o Barueri, provavelmente, foi mais conservador ao jogar em casa."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NQhjJs-YI578"
   },
   "source": [
    "## Desempenho dos clubes visitantes\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "id": "_fB0mo9nI5XI"
   },
   "outputs": [],
   "source": [
    "vitoriasVisitante=pd.DataFrame()\n",
    "vitoriasVisitante['Vitórias']=[0]*len(par.Visitante.unique())\n",
    "vitoriasVisitante['Empates']=[0]*len(par.Visitante.unique())\n",
    "vitoriasVisitante['Derrotas']=[0]*len(par.Visitante.unique())\n",
    "vitoriasVisitante.index=par.Visitante.unique()\n",
    "for i in vitoriasVisitante.index:\n",
    "  vitoriasVisitante.loc[i]['Vitórias']=len(par[(par.Visitante==i) & (par.Vencedor==i)])\n",
    "  vitoriasVisitante.loc[i]['Empates']=len(par[(par.Visitante==i) & (par.Vencedor=='-')])\n",
    "  vitoriasVisitante.loc[i]['Derrotas']=len(par[(par.Visitante==i) & (par.Vencedor!=i) & (par.Vencedor!='-')])\n",
    "vitoriasVisitante=vitoriasVisitante.sort_values(ascending=False, by='Vitórias')\n",
    "for i in vitoriasVisitante.index:\n",
    "  vitoriasVisitante.loc[i]=vitoriasVisitante.loc[i]/len(par[par.Visitante==i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 611
    },
    "id": "o4vi6YDSJSoR",
    "outputId": "a06b75ec-8949-47a8-d6d2-4c764d099dc7"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = vitoriasVisitante.nlargest(20,'Vitórias').sort_values('Vitórias').plot.barh(stacked=True, cmap='tab10', figsize=(16, 10),color={\"Vitórias\": \"#95E827\", \"Empates\": \"#FFCB1F\",'Derrotas': '#F5661D'})\n",
    "ax.set_title('Desempenho dos clubes visitantes')\n",
    "for p in ax.patches:\n",
    "    left, bottom, width, height = p.get_bbox().bounds\n",
    "    if width > 0:\n",
    "         ax.annotate(f'{width:.0%}',xy=(left+width/2, bottom+height/2), ha='center', va='center',color='black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "km42zrsc-Ezh"
   },
   "source": [
    "Esse gráfico, análogo ao anterior, mas para visitantes, monstra a importância das equipes desempenharem um bom desempenho fora de casa pois, olhando para os 8 primeiros colocados em desempenho em vitórias como visitante temos os 7 diferentes clubes que foram campeões desde o começo dos pontos corridos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Wem3XPKPi2En"
   },
   "source": [
    "## Relação entre posse de bola e vitória"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "id": "svw7tOdQZgDr"
   },
   "outputs": [],
   "source": [
    "ganhou=[]\n",
    "porcentagem=[]\n",
    "maiorposse=0\n",
    "menorposse=0\n",
    "for i in range(4987,7267):\n",
    "  if par.loc[i]['Vencedor']==par.loc[i]['Mandante']:\n",
    "    ganhou.append(0)\n",
    "  if par.loc[i]['Vencedor']==par.loc[i]['Visitante']:\n",
    "    ganhou.append(1)\n",
    "  if par.loc[i]['Vencedor']=='-':\n",
    "    ganhou.append('-')\n",
    "for j in est.index.unique():\n",
    "  if ganhou[j-4987]==0:\n",
    "    porcentagem.append(est.loc[j].iloc[0]['Posse de bola'])\n",
    "  if ganhou[j-4987]==1:\n",
    "    porcentagem.append(est.loc[j].iloc[1]['Posse de bola'])\n",
    "x=['21%','22%','23%','24%','25%','26%','27%','28%','29%','30%','31%','32%','33%','34%','35%','36%','37%','38%','39%','40%','41%','42%','43%','44%','45%','46%','47%','48%','49%','50%','51%','52%','53%','54%','55%','56%','57%','58%','59%','60%','61%','62%','63%','64%','65%','66%','67%','68%','69%','70%','71%','72%','73%','74%','75%','76%','77%','78%']\n",
    "for i in x:\n",
    "  if i in ['51%','52%','53%','54%','55%','56%','57%','58%','59%','60%','61%','62%','63%','64%','65%','66%','67%','68%','69%','70%','71%','72%','73%','74%','75%','76%','77%','78%']:\n",
    "    maiorposse+=porcentagem.count(i)\n",
    "  if i!='50%':\n",
    "    menorposse+=porcentagem.count(i)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 392
    },
    "id": "qvxP4IlVsULw",
    "outputId": "aa905311-4ef8-41d0-ed03-acdddcf4f7fd"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pl19+WQ8//LCWLVumrl276sorr9R///tfLVmyRCtXrtTAgQPVvn17LVu2zLlNPvzwQ7Vp06basmsaC+rKHdvvbFxzzTWKiopSRkaGmjdvLj8/P/Xq1csy4xXODY60wXIiIiJ01VVXaebMmWe8ULo23377rex2u4YPH64WLVrI19dXX375ZbWjd2fSpUsXSdLnn39e4/TExEQVFxcrPz/f2XbixAl99dVXateuXY3vCQ0NVUxMjLKyslza165d6/I6KSlJeXl5iouLq/bf6R69kZiYqK5du2r+/Pl688031bVrV5cjgb90KuRUVVU52+Li4uTv71/touxVq1bV+rlqk52drePHj2v69Onq2bOnLr74Yh06dKjafCEhIfr73/+uGTNmaP369dq6datWrVpV4zKTkpL0ww8/qLy8vNq6OXUjirslJSVp9+7dCg0NrVZDdHR0je/p2rWr8vPznRfh/9Lq1avVuXNnjRo1Sl27dlXr1q21d+9el3kSExNr3C6BgYGKjY2tcblffPGFoqKi9Mwzz+iSSy5RmzZtaq3hl7Kzs132jaysLPn7+ys2NrbO+4m3t7eSk5P11FNPacOGDbrgggtcblaIiIjQLbfcoldeeUX//ve/tWrVKuXn5ysxMVEBAQHavXt3jd+Dnx8B/LmEhAR9/fXXLnXX9P36tdvvlK1bt+rHH390WSen+g0NDVWzZs1qXCcXXXRRjYHw1BjyyCOP6Morr1RCQoICAgLOePQXvz8caYMlzZ49Wz179lTnzp31xBNPOO883LZtmz799NNaB+tTWrZsqYCAAE2dOlVjxozR7t27NWbMmNM+j6wmcXFxGjBggNLT01VeXq5LL71UdrtdWVlZGjFihPr06aPu3bvr1ltvVUZGhsLCwvT000+rvLxc9913X63LHT16tCZMmKD4+Hj16NFDH3/8cbVHMTz11FP605/+pFGjRum2225TgwYNtGPHDn344YeaNWvWaR/bcdtttzkfdTJu3LjTfsaLLrpI0k/PB+vVq5cCAwMVEhKi4cOHa8KECWrUqJE6duyoBQsW6KOPPtLSpUvruvokSa1bt5bNZtOUKVM0YMAAbdq0SU899ZTLPJMnT1Z0dLQ6deqkoKAgvfvuu/L29q7x6Iok9enTR2lpabruuuv0/PPPq0OHDiopKVFWVpYCAgJ0zz33/Koaf4sBAwZo2rRpuvrqqzVx4kS1adNGhw4d0vLly9W2bVv169ev2ntuueUWPf/88/rrX/+q559/XrGxsdq9e7eKiop000036eKLL9bcuXP10UcfqV27dvr0009d7oiVfnoMyLXXXqtJkybpuuuuU25urp544gmNHj262lHGUy6++GIdPnxYc+fOVe/evfXFF19o9uzZdfqcxcXFGjZsmEaMGKHdu3drwoQJuvfee51HHs+0n3z00UfavXu3kpOT1ahRI23YsEH79u1z/iExfvx4de3aVYmJifLy8tLbb7+tkJAQtWjRQiEhIRo3bpzGjRsnm82mtLQ0VVZWasuWLdq4caP+8Y9/1Fjzfffdp6lTp2rIkCF68MEHVVBQUO1o5W/ZfqfYbDbddttteuaZZ2S32zVs2DD99a9/VVxcnHMbjR49Wq1bt1ZqaqqWL1+ul156SRkZGTUuLzw8XI0aNdKrr76q2NhYFRcX6+GHH/5Vj+bB74SnL6oDfqvDhw+bhx9+2MTHx5uAgAATEBBg2rZta0aOHGn27NnjnK+2C3oXLlxoWrdubfz9/U2nTp3MqlWrjLe3t5k3b95p3/vLu0crKirMo48+ai688ELj6+trYmJiXC5ULigoMDfddJMJCwszAQEBJjk52WRnZ5/2s1VVVZmxY8eayMhIExQUZPr372+mTp3qcoOAMcasXr3a9O3b14SEhJigoCATHx9vRowYUe3i6ZrWna+vr/H19a12F+svb0QwxpgRI0aYRo0aGUnOi8IrKirMmDFjTHR0tPH19TVt27Y1b7/9tsv7VMsNB79snzVrlmnWrJkJCAgwPXv2NJ999pmRZFasWGGMMebll182Xbp0MQ0aNDDBwcEmKSnJLF68+LSfsayszIwZM8a0bNnS+Pr6miZNmpgrr7zSLFu2zBhT/SYAY4zZt2+fS7/G/HQXsSSzdOnSWvu6/fbbTd++fau1FxUVmaFDhzrXUXR0tOnXr5/JycmptYYDBw6YQYMGmYYNGxpJ5uKLL3bukxUVFWbIkCEmPDzcNGjQwNxyyy1m5syZ1W4Uef311018fLyzz3Hjxp1xn3j00UdN48aNTVBQkLnqqqvMO++8YyS5fJd+KSUlxQwePNh5h2hISIi56667TFlZmXOeM+0nq1atMr179zZRUVHG39/fxMXFmeeee845/amnnjKJiYkmODjYhIaGmuTkZJf1ZYwxr776qunYsaPx9/c3DRs2NN27dzezZ88+7efNzMw07dq1M35+fiYxMdEsW7as2n55pu1Xk1P7wuTJk03Tpk1NYGCgue6661zu8nQ4HOb55583LVu2ND4+Puaiiy6qdjf0L8eelStXmg4dOhh/f3/Tpk0bs2DBAhMbG2sef/zx035O/L7YjPmV54MAAPXiz3/+s6ZPn674+HhPl1Kj1NRUxcXFac6cOZ4uBfhD4Jo2ADjPFBQUaO/evQoKCtJnn33m6XIAnCcIbQBwnvnyyy/Vtm1bbdiwQX369PF0OQDOE5weBQAAsACOtAEAAFgAoQ0AAMACCG0AAAAW8Id4uG5BQYGnS4AFREVFufzmIQCcS4wxqIvT/eIGR9oAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAJ8PF3A70XGJ5s9XQLOUkBggMqPl3u6DPxGw67t4OkSAMCtONIGAABgAYQ2AAAACyC0AQAAWAChDQAAwALq5UaE2bNnKycnR2FhYZoyZYqz/bPPPtOSJUvk5eWlLl26aODAgZKkRYsWafny5fLy8tLgwYPVqVMnSVJubq7mzZsnh8Ohvn37ql+/fvVRPgAAgMfVS2hLTU3Vn//8Z2VkZDjbvvnmG61fv16TJ0+Wr6+vjhw5Iknav3+/srKyNHXqVJWUlOjpp5/Wiy++KEmaO3euHn30UUVGRmrs2LFKSkpSs2bN6uMjAAAAeFS9hLaEhAQVFha6tH3++ef629/+Jl9fX0lSWFiYJCk7O1uXXXaZfH191bhxYzVt2lQ7d+6UJDVt2lRNmjSRJF122WXKzs4mtAEAgD8Ejz2n7cCBA/r222/13nvvydfXV4MGDVJcXJzsdrtat27tnC8iIkJ2u12SFBkZ6WyPjIzUjh076r1uAAAAT/BYaHM4HCotLdXEiRO1a9cuTZs2TbNmzTony87MzFRmZqYkadKkSYqKijonyz2dgMAAt/cB9/KyebEdLaw+vufA2fDx8WE/xVnxWGiLiIhQ9+7dZbPZFBcXJy8vLx09elQREREqLi52zme32xURESFJLu3FxcXO9l9KS0tTWlqa83VRUZGbPsX/40n61scvIlhbfXzPgbMRFRXFfoozio6OrnWaxx750a1bN+Xl5UmSCgoKVFlZqQYNGigpKUlZWVk6efKkCgsLdeDAAcXFxSk2NlYHDhxQYWGhKisrlZWVpaSkJE+VDwAAUK/q5Ujb9OnTlZ+fr6NHj2ro0KG68cYb1adPH82ePVujR4+Wj4+Phg0bJpvNpubNm+vSSy/VqFGj5OXlpbvuukteXj9lyzvvvFMTJ06Uw+FQ79691bx58/ooHwAAwONsxhjj6SLcraCgwO198IPx1sfpUWvjB+NxvuP0KOrivDw9CgAAgLojtAEAAFgAoQ0AAMACCG0AAAAWQGgDAACwAEIbAACABRDaAAAALIDQBgAAYAGENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAWQGgDAACwAEIbAACABRDaAAAALIDQBgAAYAGENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAWQGgDAACwAEIbAACABRDaAAAALIDQBgAAYAGENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAW4FMfncyePVs5OTkKCwvTlClTXKZ98sknmj9/vubMmaPQ0FAZYzRv3jxt3LhR/v7+Sk9PV6tWrSRJK1eu1MKFCyVJ1113nVJTU+ujfAAAAI+rlyNtqampGjduXLX2oqIibd68WVFRUc62jRs36uDBg5oxY4aGDBmiOXPmSJJKS0u1YMECPfvss3r22We1YMEClZaW1kf5AAAAHlcvoS0hIUEhISHV2t944w0NGDBANpvN2bZ+/XolJyfLZrOpTZs2OnbsmEpKSpSbm6sOHTooJCREISEh6tChg3Jzc+ujfAAAAI/z2DVt2dnZioiIUMuWLV3a7Xa7y5G3yMhI2e122e12RUZGOtsjIiJkt9vrq1wAAACPqpdr2n7pxIkTWrRokR599FG3LD8zM1OZmZmSpEmTJrmEQHcJCAxwex9wLy+bF9vRwurjew6cDR8fH/ZTnBWPhLZDhw6psLBQDz30kCSpuLhYY8aM0XPPPaeIiAgVFRU55y0uLlZERIQiIiKUn5/vbLfb7UpISKhx+WlpaUpLS3O+/vny3KX8eLnb+4B7BQQGsB0trD6+58DZiIqKYj/FGUVHR9c6zSOnR1u0aKE5c+YoIyNDGRkZioyM1D/+8Q81bNhQSUlJWr16tYwx2r59u4KCghQeHq5OnTpp06ZNKi0tVWlpqTZt2qROnTp5onwAAIB6Vy9H2qZPn678/HwdPXpUQ4cO1Y033qg+ffrUOG/nzp2Vk5Oj4cOHy8/PT+np6ZKkkJAQ9e/fX2PHjpUkXX/99TXe3AAAAPB7ZDPGGE8X4W4FBQVu7yPjk81u7wPuxelRaxt2bQdPlwCcFqdHURfn3elRAAAA/DqENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAWQGgDAACwAEIbAACABRDaAAAALIDQBgAAYAGENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAWQGgDAACwAEIbAACABRDaAAAALIDQBgAAYAGENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAWQGgDAACwAEIbAACABRDaAAAALIDQBgAAYAGENgAAAAsgtAEAAFgAoQ0AAMACCG0AAAAW4FMfncyePVs5OTkKCwvTlClTJEnz58/Xhg0b5OPjoyZNmig9PV3BwcGSpEWLFmn58uXy8vLS4MGD1alTJ0lSbm6u5s2bJ4fDob59+6pfv371UT4AAIDH1cuRttTUVI0bN86lrUOHDpoyZYpeeOEFXXDBBVq0aJEkaf/+/crKytLUqVM1fvx4zZ07Vw6HQw6HQ3PnztW4ceM0bdo0rV27Vvv376+P8gEAADyuXkJbQkKCQkJCXNo6duwob29vSVKbNm1kt9slSdnZ2brsssvk6+urxo0bq2nTptq5c6d27typpk2bqkmTJvLx8dFll12m7Ozs+igfAADA486La9qWL1/uPAVqt9sVGRnpnBYRESG73V6tPTIy0hn0AAAAfu/q5Zq201m4cKG8vb11+eWXn7NlZmZmKjMzU5I0adIkRUVFnbNl1yYgMMDtfcC9vGxebEcLq4/vOXA2fHx82E9xVjwa2lauXKkNGzbosccek81mk/TTkbXi4mLnPHa7XREREZLk0l5cXOxs/6W0tDSlpaU5XxcVFbmjfBflx8vd3gfcKyAwgO1oYfXxPQfORlRUFPspzig6OrrWaR47PZqbm6uPPvpIY8aMkb+/v7M9KSlJWVlZOnnypAoLC3XgwAHFxcUpNjZWBw4cUGFhoSorK5WVlaWkpCRPlQ8AAFCv6uVI2/Tp05Wfn6+jR49q6NChuvHGG7Vo0SJVVlbq6aefliS1bt1aQ4YMUfPmzXXppZdq1KhR8vLy0l133SUvr5+y5Z133qmJEyfK4XCod+/eat68eX2UDwAA4HE2Y4zxdBHuVlBQ4PY+Mj7Z7PY+4F6cHrW2Ydd28HQJwGlxehR1cV6eHgUAAEDdEdoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQuBOdNQAACAASURBVBsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWIBPfXQye/Zs5eTkKCwsTFOmTJEklZaWatq0aTp8+LAaNWqkBx54QCEhITLGaN68edq4caP8/f2Vnp6uVq1aSZJWrlyphQsXSpKuu+46paam1kf5AAAAHlcvR9pSU1M1btw4l7bFixerffv2mjFjhtq3b6/FixdLkjZu3KiDBw9qxowZGjJkiObMmSPpp5C3YMECPfvss3r22We1YMEClZaW1kf5AAAAHlcvoS0hIUEhISEubdnZ2UpJSZEkpaSkKDs7W5K0fv16JScny2azqU2bNjp27JhKSkqUm5urDh06KCQkRCEhIerQoYNyc3Pro3wAAACP89g1bUeOHFF4eLgkqWHDhjpy5IgkyW63KyoqyjlfZGSk7Ha77Ha7IiMjne0RERGy2+31WzQAAICH1Ms1bWdis9lks9nO2fIyMzOVmZkpSZo0aZJLCHSXgMAAt/cB9/KyebEdLaw+vufA2fDx8WE/xVnxWGgLCwtTSUmJwsPDVVJSotDQUEk/HUErKipyzldcXKyIiAhFREQoPz/f2W6325WQkFDjstPS0pSWluZ8/fPluUv58XK39wH3CggMYDtaWH18z4GzERUVxX6KM4qOjq51msdOjyYlJWnVqlWSpFWrVqlbt27O9tWrV8sYo+3btysoKEjh4eHq1KmTNm3apNLSUpWWlmrTpk3q1KmTp8oHAACoV/VypG369OnKz8/X0aNHNXToUN14443q16+fpk2bpuXLlzsf+SFJnTt3Vk5OjoYPHy4/Pz+lp6dLkkJCQtS/f3+NHTtWknT99ddXu7kBAADg98pmjDGeLsLdCgoK3N5Hxieb3d4H3IvTo9Y27NoOni4BOC1Oj6IuzsvTowAAAKi7OoW2Tz/9VHv37pUkbd++Xffdd5+GDRum7du3u7M2AAAA/J86hbZ///vfaty4sSTp3Xff1TXXXKP+/fvr9ddfd2dtAAAA+D91Cm1lZWUKCgrS8ePHtXfvXl111VXq06dPvVwrBgAAgDrePRoZGalt27Zp3759atu2rby8vFRWViYvLy6JAwAAqA91Cm0DBw7U1KlT5ePjo9GjR0uScnJyFBcX59biAAAA8JM6hbYuXbrolVdecWnr0aOHevTo4ZaiAAAA4OpXPVz3+PHjOnr0qH7+aLcmTZqc86IAAADgqk6hbf/+/ZoxY4a+++67atPef//9c14UAAAAXNXpToI5c+YoMTFRr732moKCgjRv3jxdccUVGjZsmLvrAwAAgOoY2r777jsNGDBAwcHBMsYoKChIAwcO5CgbAABAPalTaPP19VVVVZUkqUGDBioqKpIxRqWlpW4tDgAAAD+p0zVt8fHx+vLLL5WamqoePXro2Wefla+vrxITE91dHwAAAFTH0DZq1Cjnv2+55RY1b95c5eXlSk5OdlthAAAA+H+/6pEfkuTl5UVYAwAAqGe1hrZXXnlF9957ryRp5syZstlsNc73P//zP+6pDAAAAE61hrbGjRs7/920adN6KQYAAAA1qzW0/f3vf5ckORwORUZGqlevXvLz86u3wgAAAPD/zvjIDy8vL7355psENgAAAA+q03PaunbtqvXr17u7FgAAANSiTnePnjx5UlOnTlWbNm0UGRnpclMCNyIAAAC4X51CW/PmzdW8eXN31wIAAIBa1Cm03XDDDe6uAwAAAKdR54fr5uXladWqVSopKVF4eLiSk5PVrl07d9YGAACA/1PrjQibNm1y/nvZsmWaNm2aGjZsqO7duys8PFwvvviiMjMz66VIAACAP7paj7QtWLBAFRUV6tatmz7++GM9+uijatmypXP6ZZddpilTpigtLa0+6gQAAPhDq/VI24QJE/TVV19Jko4ePapmzZq5TI+OjlZpaal7qwMAAICk04Q2Pz8/5+M84uPj9eabb+rEiROSpPLycs2fP19t2rSpnyoBAAD+4Op0I8I999yj6dOn64477lBISIhKS0vVpk0bjRgxwt31AQAAQHUMbeHh4XryySdVXFzsvHs0MjLynBTw6aefavny5bLZbGrevLnS09P1ww8/aPr06Tp69KhatWql+++/Xz4+Pjp58qRmzZql3bt3q0GDBho5cqTLD9sDAAD8XtUptD388MN6/vnnFRkZ6RLWHnnkEU2aNOk3d2632/XZZ59p2rRp8vPz09SpU5WVlaWcnBxdffXV6tmzp/75z39q+fLl+tOf/qTly5crODhYM2fO1Nq1a/X222/rgQce+M39A4CVZHyy2dMl4CwEBAao/Hi5p8vAWRh2bQeP9l+n3x49ePBgtTZjjA4dOnTWBTgcDlVUVKiqqkoVFRVq2LCh8vLy1KNHD0lSamqqsrOzJUnr169XamqqJKlHjx765ptvZIw56xoAAADOd6c90jZr1ixJUmVlpfPfpxw+fPisf9oqIiJC1157re677z75+fmpY8eOatWqlYKCguTt7e2cx263S/rpyNypI33e3t4KCgrS0aNHFRoaelZ1AAAAnO9OG9qaNGlS479tNpsuvvhiXXrppWfVeWlpqbKzs5WRkaGgoCBNnTpVubm5Z7VMScrMzHQ++HfSpEmKioo662WeSUBggNv7gHt52bzYjhZWH99zT2P/tDbGGOvz9Dhz2tB26jdHW7durU6dOp3zzrds2aLGjRs7j5Rdcskl2rZtm8rKylRVVSVvb2/Z7XZFRERI+umoW3FxsSIjI1VVVaWysjI1aNCg2nLT0tJcHvpbVFR0zmv/Ja5TsD6uN7G2+vieexr7p7UxxlhffYwz0dHRtU6rNbTl5+crISHhp5l8fPTNN9/UON/Z/P5oVFSUduzYoRMnTsjPz09btmxRbGysEhMTtW7dOvXs2VMrV65UUlKSJKlr165auXKl2rRpo3Xr1ikxMVE2m+039w8AAGAVtYa2uXPn6oUXXpDNZtNLL71U4zw2m63atW6/RuvWrdWjRw+NGTNG3t7eatmypdLS0tSlSxdNnz5d7733ni666CL16dNHktSnTx/NmjVL999/v0JCQjRy5Mjf3DcAAICV2Mxpbr8cMmSIkpOTlZycrBYtWtRnXedUQUGB2/vgVnzr49SFtXn6Vvz6wDhjbYwx1lcf48xvOj0q/fRLCGvWrNG4ceMUExOjlJQU9erVi7s1AQAA6tlpQ1u3bt3UrVs3HTt2TFlZWVq9erXeeustdezYUSkpKUpKSpKPT52ezwsAAICzUKfEFRwcrCuuuEJXXHGFDh06pDVr1uiNN97Qq6++qrlz57q7RgAAgD+8Ov0iwimVlZXatWuXduzYoSNHjlj6OjcAAAArqdORtm+//VarVq3SunXrFBoaqssvv1x33323GjVq5O76AAAAoDOEtg8++EBr1qxRaWmp89Ec8fHx9VUbAAAA/s9pQ9vOnTt18803q1u3bvLz86uvmgAAAPALpw1t48aNq686AAAAcBq/6kYEAAAAeAahDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAF+Hi6gGPHjunll1/Wvn37ZLPZdN999yk6OlrTpk3T4cOH1ahRIz3wwAMKCQmRMUbz5s3Txo0b5e/vr/T0dLVq1crTHwEAAMDtPH6kbd68eerUqZOmT5+uyZMnKyYmRosXL1b79u01Y8YMtW/fXosXL5Ykbdy4UQcPHtSMGTM0ZMgQzZkzx8PVAwAA1A+PhraysjJt3bpVffr0kST5+PgoODhY2dnZSklJkSSlpKQoOztbkrR+/XolJyfLZrOpTZs2OnbsmEpKSjxWPwAAQH3x6OnRwsJChYaGavbs2fruu+/UqlUr3XHHHTpy5IjCw8MlSQ0bNtSRI0ckSXa7XVFRUc73R0ZGym63O+cFAAD4vfJoaKuqqtKePXt05513qnXr1po3b57zVOgpNptNNpvtVy03MzNTmZmZkqRJkya5BD13CQgMcHsfcC8vmxfb0cLq43vuaeyf1sYYY32eHmc8GtoiIyMVGRmp1q1bS5J69OihxYsXKywsTCUlJQoPD1dJSYlCQ0MlSRERESoqKnK+v7i4WBEREdWWm5aWprS0NOfrn7/HXcqPl7u9D7hXQGAA29HC6uN77mnsn9bGGGN99THOREdH1zrNo9e0NWzYUJGRkSooKJAkbdmyRc2aNVNSUpJWrVolSVq1apW6desmSUpKStLq1atljNH27dsVFBTEqVEAAPCH4PFHftx5552aMWOGKisr1bhxY6Wnp8sYo2nTpmn58uXOR35IUufOnZWTk6Phw4fLz89P6enpHq4eAACgfng8tLVs2VKTJk2q1v7YY49Va7PZbLr77rvroywAAIDzisef0wYAAIAzI7QBAABYAKENAADAAghtAAAAFkBoAwAAsABCGwAAgAUQ2gAAACyA0AYAAGABhDYAAAALILQBAABYAKENAADAAghtAAAAFkBoAwAAsABCGwAAgAUQ2gAAACyA0AYAAGABhDYAAAALILQBAABYAKENAADAAghtAAAAFkBoAwAAsABCGwAAgAUQ2gAAACyA0AYAAGABhDYAAAALILQBAABYAKENAADAAghtAAAAFuDj6QIkyeFw6JFHHlFERIQeeeQRFRYWavr06Tp69KhatWql+++/Xz4+Pjp58qRmzZql3bt3q0GDBho5cqQaN27s6fIBAADc7rw40vaf//xHMTExztdvvfWWrr76as2cOVPBwcFavny5JGn58uUKDg7WzJkzdfXVV+vtt9/2VMkAAAD1yuOhrbi4WDk5Oerbt68kyRijvLw89ejRQ5KUmpqq7OxsSdL69euVmpoqSerRo4e++eYbGWM8UjcAAEB98nhoe/311zVw4EDZbDZJ0tGjRxUUFCRvb29JUkREhOx2uyTJbrcrMjJSkuTt7a2goCAdPXrUM4UDAADUI49e07ZhwwaFhYWpVatWysvLO2fLzczMVGZmpiRp0qRJioqKOmfLrk1AYIDb+4B7edm82I4WVh/fc09j/7Q2xhjr8/Q449HQtm3bNq1fv14bN25URUWFjh8/rtdff11lZWWqqqqSt7e37Ha7IiIiJP101K24uFiRkZGqqqpSWVmZGjRoUG25aWlpSktLc74uKipy+2cpP17u9j7gXgGBAWxHC6uP77mnsX9aG2OM9dXHOBMdHV3rNI+eHr311lv18ssvKyMjQyNHjlS7du00fPhwJSYmat26dZKklStXKikpSZLUtWtXrVy5UpK0bt06JSYmOk+rAgAA/J55/Jq2mgwYMECffvqp7r//fpWWlqpPnz6SpD59+qi0tFT333+/Pv30Uw0YMMDDlQIAANSP8+I5bZKUmJioxMRESVKTJk303HPPVZvHz89Po0aNqu/SAAAAPO68PNIGAAAAV4Q2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABbg48nOi4qKlJGRoR9++EE2m01paWn6y1/+otLSUk2bNk2HDx9Wo0aN9MADDygkJETGGM2bN08bN26Uv7+/0tPT1apVK09+BAAAgHrh0SNt3t7eGjRokKZNm6aJEydqyZIl2r9/vxYvXqz27dtrxowZat++vRYvXixJ2rhxow4ePKgZM2ZoyJAhmjNnjifLBwAAqDceDW3h4eHOI2WBgYGKiYmR3W5Xdna2UlJSJEkpKSnKzs6WJK1fv17Jycmy2Wxq06aNjh07ppKSEo/VDwAAUF/Om2vaCgsLtWfPHsXFxenIkSMKDw+XJDVs2FBHjhyRJNntdkVFRTnfExkZKbvd7pF6AQAA6pNHr2k7pby8XFOmTNEdd9yhoKAgl2k2m002m+1XLS8zM1OZmZmSpEmTJrkEPXcJCAxwex9wLy+bF9vRwurje+5p7J/WxhhjfZ4eZzwe2iorKzVlyhRdfvnluuSSSyRJYWFhKikpUXh4uEpKShQaGipJioiIUFFRkfO9xcXFioiIqLbMtLQ0paWlOV///D3uUn683O19wL0CAgPYjhZWH99zT2P/tDbGGOurj3EmOjq61mkePT1qjNHLL7+smJgYXXPNNc72pKQkrVq1SpK0atUqdevWzdm+evVqGWO0fft2BQUFOU+jAgAA/J559Ejbtm3btHr1arVo0UIPPfSQJOmWW25Rv379NG3aNC1fvtz5yA9J6ty5s3JycjR8+HD5+fkpPT3dk+UDAADUG4+Gtvj4eH3wwQc1TnvssceqtdlsNt19993uLgsAAOC8c97cPQoAAIDaEdoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWAChDQAAwAIIbQAAABZAaAMAALAAQhsAAIAFENoAAAAsgNAGAABgAYQ2AAAACyC0AQAAWICPpwv4LXJzczVv3jw5HA717dtX/fr183RJAAAAbmW5I20Oh0Nz587VuHHjNG3aNK1du1b79+/3dFkAAABuZbnQtnPnTjVt2lRNmjSRj4+PLrvsMmVnZ3u6LAAAALeyXGiz2+2KjIx0vo6MjJTdbvdgRQAAAO5nyWvaziQzM1OZmZmSpEmTJik6OtrtfU681/19APhjY5wB/tgsd6QtIiJCxcXFztfFxcWKiIhwmSctLU2TJk3SpEmT6rs8WNgjjzzi6RIA/I4xxuBsWS60xcbG6sCBAyosLFRlZaWysrKUlJTk6bIAAADcynKnR729vXXnnXdq4sSJcjgc6t27t5o3b+7psgAAANzKcqFNkrp06aIuXbp4ugz8zqSlpXm6BAC/Y4wxOFs2Y4zxdBEAAAA4Pctd0wYAAPBHRGjDWbnxxhs1Y8YM5+uqqirdddddf+g7dwsLCzV69Gi3zS9JTzzxhHbt2vVrSwMs67eONbt27dJrr73m7vLqTUZGhtatW+e2+fPy8v7Q4/f5zpLXtOH84e/vr3379qmiokJ+fn7avHlztUewuIPD4ZCXF39zAH8Uv3WsiY2NVWxsbJ37qaqqkre399mUCrgNoQ1nrXPnzsrJyVGPHj20du1a9ezZU99++60kqby8XK+99pr27dunqqoq3XDDDerWrZtWrlyp9evX68SJEzp06JC6d++ugQMHSpK++OILLVq0yLnsU+2DBg3SFVdcoS1btuiuu+5SfHy8s4YnnnhCF154ofLz8+VwOHTfffcpLi5OpaWlmj17tgoLC+Xv768hQ4Y455s3b54kyWaz6cknn1R5ebmmT5+usrIyORwO3X333Wrbtq02bdqkDz74QJWVlWrSpInS09MVEBDgsg52796tl156SZLUoUMHZ7vD4dDbb7+t/Px8nTx5UldeeaWuuOKKauuwqqpKM2bM0J49e9SsWTP9z//8j/z9/bVlyxbNnz9fVVVVio2N1T333CNfX1+X97766qvatWuXKioq1KNHD914441ntT2B89XpxpqdO3dq3rx5OnnypPz8/JSenq7o6Gjl5eXpk08+0SOPPFLrePDBBx/o0KFDKiwsVGRkpEaOHOnsMy8vTx988IECAgJ08OBBJSYm6u6775aXl1eNY5XD4dBLL72k3bt3S5J69+6ta665Rv/5z3+0dOlSeXt7q1mzZho5cmSt4+PPGWP02muvafPmzYqKipKPz///b3v37t164403VF5ertDQUKWnpys8PLzaetu8ebMWL16s48eP67bbblPXrl1VUVGhOXPmaNeuXfL29tZtt92mdu3aubyvtnUKDzLAWRg4cKDZu3eveeGFF8yJEyfMgw8+aL755hvz3HPPGWOMefvtt82qVauMMcaUlpaa4cOHm+PHj5sVK1aYYcOGmWPHjpkTJ06Y++67zxw+fNgUFxeboUOHmiNHjpjKykrzxBNPmK+++soYY8wNN9xg1q5dW2Mdjz/+uHnppZeMMcbk5eWZUaNGGWOMmTt3rvnggw+MMcZs2bLFPPjgg8YYY5577jmzdetWY4wxx48fN5WVlebjjz82//rXv4wxxlRVVZmysjJz5MgR89hjj5njx48bY4xZtGiR+fDDD6v1P3r0aJOXl2eMMebNN9909r906VKzYMECY4wxFRUVZsyYMebQoUMu7z106JC54YYbnPVkZGSYjz76yJw4ccIMHTrUfP/998YYY2bOnGk+/fRT5+fduXOnMcaYo0ePOmt+/PHHzd69e8+w1QDrOdNYc+zYMVNZWWmMMWbTpk1m8uTJxhjjMk9t48H7779vHn74YXPixIlq/X7zzTfm1ltvNQcPHjRVVVXmqaeeMl9++WWtY9WuXbvMU0895Xx/aWmpMcaYIUOGmIqKCpe22sbHn1u3bp156qmnTFVVlSkuLja33367+fLLL83JkyfN+PHjzZEjR4wxxqxdu9ZkZGRUq3/WrFnmmWeeMVVVVaagoMDce++95sSJE+bjjz92zr9//34zdOhQc+LEiTqtU3gOR9pw1i688EIdPnxYa9euVefOnV2mbd68WRs2bNAnn3wiSaqoqFBRUZEkqV27dgoKCpIkNWvWTEVFRTp69KgSExMVGhoqSbr88su1detWde/eXV5eXurRo0etdfTq1UuSlJCQoLKyMh07dkzffvut83qxdu3aqbS0VGVlZYqPj9ebb76pXr166ZJLLlFkZKRiY2P10ksvqbKyUt27d1fLli2Vn5+v/fv3a8KECZKkyspKtWnTxqXfY8eO6dixY0pISJAkJScnKzc3V5K0adMm/fe//3VeU1JWVqYDBw6ocePGLsuIjIx0HjlMTk7Wf/7zH3Xo0EGNGzd2/mWbkpKiJUuW6Oqrr3Z5b1ZWlpYtW6aqqiqVlJRo//79uvDCC0+zxQBrOt1YU1ZWpoyMDB08eFDST0evf6m28UCSkpKS5OfnV2O/cXFxatKkiSQ5j+55e3vXOFb1799fhYWFeu2119SlSxfnkfcWLVpoxowZ6tatm7p37y6p9vGxWbNmzr63bt2qnj17ysvLSxEREc6jYQUFBdq3b5+efvppST8d1a/pKJskXXrppfLy8tIFF1ygJk2aqKCgQN9++62uuuoqSVJMTIwaNWqkAwcO/Op1ivpFaMM5kZSUpPnz5+uJJ57Q0aNHne3GGI0ePbraIfWdO3e6nObz8vI644Dg6+v7q65js9lstU7r16+funTpopycHE2YMEHjx49XQkKCnnzySeXk5CgjI0PXXHONgoOD1b59e5fTJb+GMUaDBw9Wp06dflWtp6v95woLC/XJJ5/oueeeU0hIiDIyMnTy5MnfVCtgBbWNNe+//74SExP10EMPqbCwUE8++eSvWq6/v/85qS8kJESTJ09Wbm6uPv/8c2VlZSk9PV1jx45Vfn6+NmzYoEWLFumFF16odXysq2bNmmnixIlnnK+u48kvne06xbnHldw4J3r37q3rr79eLVq0cGnv2LGjPvvsM5n/exzgnj17TrucuLg45efn68cff5TD4dDatWudR7DOJCsrS9JPf00HBQUpKChI8fHxWrNmjaSfrk1p0KCBgoKCdPDgQbVo0UL9+vVTbGysvv/+ex0+fFgNGzZUWlqa+vbtqz179qhNmzbatm2b8y/N8vJyFRQUuPQbHBys4OBg57U1p/qTpE6dOunzzz9XZWWlpJ/+Oi4vL69We1FRkbZv3y7pp2v64uPjFR0drcLCQmffq1evrrYuysrKFBAQoKCgIP3www/OI3zA71VtY01ZWZnzxoSVK1fW+N7axoMz2blzpwoLC+VwOPTll18qPj6+1rHq1OsePXro5ptv1p49e+RwOFRUVKR27dppwIABKisrU3l5eZ3Gx7Zt2+rLL7+Uw+FQSUmJ8vLyJEnR0dH68ccfneNGZWWl9u3bV2P969atk8Ph0MGDB3Xo0CFFR0erbdu2znVRUFCgoqKi/23vjlEWB4MwAL8SiYIQkIiFWqQQLCWNB7AImMbGQgKWFiY2IVHByhMIIppG0RPYCOIFvIH21h5Aq8Qtlg3L5nd/F5Z/yfI+ZarwFcNkvplMJHl850zpa7HSRn+FLMvQdT3yvNVqYbvdwnVdPJ9P5PP53y5NzmazMAwj/KJTVTXSmPuKKIoYDofwfR+9Xg/A998ELJdLuK6LVCoFy7IAAIfDAZfLBYlEAqVSCaqq4nQ6Yb/fQxAEpNNp9Pt9SJIEy7Iwm83CCla73Y4EN9M0w0GEarUaPq/X67jdbhiNRgAASZIwGAwi714oFHA8HuF5HorFIjRNCxt/p9NpOIjw6xCDoihQFAW2bUOWZVQqlbfOiiiuXsWaZrOJxWKB3W73cmPOq3jwmXK5jPV6HQ4i/GjX+ChWXa9XeJ6HIAgAAIZhIAgCzOfz8Cq20Wggk8m8FR9rtRrO5zNs20YulwvbM5LJJBzHwWazwf1+h+/70HX9w7WOsixjPB7j8Xig2+1CFEVomobVagXHcSAIAya+FwAAAGZJREFUAkzTjAw5vXOm9LW4EYH+C5PJBJ1O549G+4mIPvPz9CnRv8brUSIiIqIYYKWNiIiIKAZYaSMiIiKKASZtRERERDHApI2IiIgoBpi0EREREcUAkzYiIiKiGGDSRkRERBQD3wDKakHdiSAtTgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = ['Menor posse de bola','Maior posse de bola']\n",
    "y = [menorposse,maiorposse]\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(x,y,color=(0.2,0.4,0.6,0.6))\n",
    "plt.xticks(x)\n",
    "plt.ylabel('Vitórias')\n",
    "plt.title('Gráfico de vitórias em relação à posse de bola')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pQc734o2-P59"
   },
   "source": [
    "Apesar do senso comum acreditar que uma equipe está mais próximo da vitória caso esteja com uma maior posse de bola, a partir desse gráfico é nítido que a menor posse de bola converte basicamente o dobro de vitórias. Isso acontece pois, geralmente, equipes que tocam a bola de um lado para o outro sem objetividade acabam, geralmente, dando o contra-ataque para a equipe adversária que consegue converter com mais facilidade suas oportunidades em gols."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "82mJJyAZizXY"
   },
   "source": [
    "## Placares mais comuns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {
    "id": "i3I6F6uJ1BM0"
   },
   "outputs": [],
   "source": [
    "placares=[]\n",
    "for i in par.index:\n",
    "  a=int(par.loc[i]['Mandante Placar'])\n",
    "  b=int(par.loc[i]['Visitante Placar'])\n",
    "  placares.append(str(str(a)+'-'+str(b)))\n",
    "placaresSemDuplicata=[]\n",
    "for i in placares:\n",
    "  if i not in placaresSemDuplicata:\n",
    "    placaresSemDuplicata.append(i)\n",
    "seriePlacares=pd.Series(placaresSemDuplicata)\n",
    "seriePlacares.index=seriePlacares.values.copy()\n",
    "for i in seriePlacares.index:\n",
    "  seriePlacares.loc[i]=float(placares.count(i)/len(placares))\n",
    "seriePlacares=seriePlacares.sort_values(ascending=False)\n",
    "seriePlacares=seriePlacares[:12]\n",
    "seriePlacares['Outros']=1-seriePlacares[:12].values.sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {
    "id": "PPZ7yQ-iUOlW"
   },
   "outputs": [],
   "source": [
    "dfPlacar=pd.DataFrame()\n",
    "dfPlacar['0']=[0]*5\n",
    "dfPlacar['1']=[0]*5\n",
    "dfPlacar['2']=[0]*5\n",
    "dfPlacar['3']=[0]*5\n",
    "dfPlacar['4+']=[0]*5\n",
    "dfPlacar.index=['0','1','2','3','4+']\n",
    "for i in par.index:\n",
    "  a=int(par.loc[i]['Mandante Placar'])\n",
    "  b=int(par.loc[i]['Visitante Placar'])\n",
    "  if a>=4:\n",
    "    a='4+'\n",
    "  if b>=4:\n",
    "    b='4+'\n",
    "  a=str(a)\n",
    "  b=str(b)\n",
    "  dfPlacar.loc[b][a]+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 755
    },
    "id": "ISW7EhjeKMi8",
    "outputId": "ec529fc7-33cb-45eb-c113-788d4561e4b4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,13))\n",
    "plt.pie(seriePlacares.values,labels=seriePlacares.index,autopct='%1.1f%%',shadow=True, startangle=90);\n",
    "plt.title('Frequência de placares')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "chwA3ETLaXfI"
   },
   "source": [
    "Uma visualização alternativa:     \n",
    "Perceba a predominância do placar '1-0'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 428
    },
    "id": "cMLmUT4mV_7P",
    "outputId": "0888c6f8-2f8d-4b4f-f2ac-79049b53eb4b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Frequência de placares')"
      ]
     },
     "execution_count": 319,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,6))\n",
    "sns.heatmap(dfPlacar,cmap='YlGnBu')\n",
    "plt.xlabel('Gols de mandantes')\n",
    "plt.ylabel('Gols de visitantes')\n",
    "plt.title('Frequência de placares')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6Mu5CkwsV2Ea"
   },
   "source": [
    "# Impactos da implementação do VAR"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "I31z-gGR-tQj"
   },
   "source": [
    "Com a implementação do VAR em 2019 esperava-se que o número de infrações crescessem, visto que elas poderiam ser identificadas com mais facilidade. Entretanto, os resultados mostraram o oposto, porém, é possível interpretar que a implementação do VAR gerou um cuidado maior por partes dos jogadores em 2019. Isso pode ser provado pois logo na temporada seguinte o número de faltas regularizou-se aos níveis anteriores, ou seja, os jogadores estavam se acostumando à inovação tecnológica e comportaram-se de forma conservadora durante esse período de adaptação."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "id": "erwlobQQWMOA"
   },
   "outputs": [],
   "source": [
    "serieFaltas=pd.Series()\n",
    "for ano in list(range(2015,2020+1)):\n",
    "  serieFaltas.loc[ano]=contaDados(ano,'f')\n",
    "serieImpedimentos=pd.Series()\n",
    "for ano in list(range(2015,2020+1)):\n",
    "  serieImpedimentos.loc[ano]=contaDados(ano,'i')\n",
    "serieCA=pd.Series()\n",
    "for ano in list(range(2015,2020+1)):\n",
    "  serieCA.loc[ano]=contaDados(ano,'ca')\n",
    "serieCV=pd.Series()\n",
    "for ano in list(range(2015,2020+1)):\n",
    "  serieCV.loc[ano]=contaDados(ano,'cv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 445
    },
    "id": "hY7agG4oWZYW",
    "outputId": "62b0cfaa-bd27-4913-f96f-24db095f5cf4",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(2,2,figsize=(13,7))\n",
    "ax[0, 0].plot(serieFaltas.index,serieFaltas.values,color=(0.2, 0.4, 0.6, 0.6))\n",
    "ax[1, 0].plot(serieImpedimentos.index,serieImpedimentos.values,color=(0.2, 0.4, 0.6, 0.6))\n",
    "ax[0, 1].plot(serieCA.index,serieCA.values,color=(0.2, 0.4, 0.6, 0.6))\n",
    "ax[1, 1].plot(serieCA.index,serieCA.values,color=(0.2, 0.4, 0.6, 0.6))\n",
    "ax[0,0].title.set_text('Faltas por temporada')\n",
    "ax[1,0].title.set_text('Impedimentos por temporada')\n",
    "ax[0,1].title.set_text('Cartões amarelos por temporada')\n",
    "ax[1,1].title.set_text('Cartões vermelhos por temporada')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "iJPr9_3zu-25"
   },
   "source": [
    "# Fontes e Referências\n",
    "https://futdados.com/pontos-corridos-todas-as-campanhas-acumuladas-desde-2003/ \\\n",
    "https://www.kaggle.com/adaoduque/campeonato-brasileiro-de-futebol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [
    "il1ESnlGSd_V",
    "Uq8m5tnZRuou",
    "VBR8bcJ4LVRt",
    "EdfLV0cN05gX",
    "oH3P7-KcYNUI",
    "Y-N8TB2gYozb"
   ],
   "name": "Computação - Análise Brasileirão.ipynb",
   "provenance": []
  },
  "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}