Torneo.de.los.30.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Torneo de los 30\n",
    "\n",
    "Partiendo de un archivo *.csv* con los resultados de los partidos del torneo, por fecha, hacemos un par de transformaciones y cálculos para obtener algunos gráficos y estadísticas del ya finalizado torneo argentino de fútbol.\n",
    "\n",
    "Sirve además como excusa par experimentar con Pandas, matplotlib y Jupyter!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# imports iniciales\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# queremos que los gráficos se rendericen inline\n",
    "%matplotlib inline\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# configuración para los gráficos, estilo y dimensiones\n",
    "matplotlib.style.use('ggplot')\n",
    "figsize(12, 12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Leemos los datos del archivo .csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# levantamos los datos del archivo en un DataFrame de Pandas\n",
    "data = pd.read_csv('data/resultados.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fecha</th>\n",
       "      <th>local</th>\n",
       "      <th>gl</th>\n",
       "      <th>visitante</th>\n",
       "      <th>gv</th>\n",
       "      <th>arbitro</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Argentinos Juniors</td>\n",
       "      <td>2</td>\n",
       "      <td>Atletico Rafaela</td>\n",
       "      <td>0</td>\n",
       "      <td>Pablo Lunati</td>\n",
       "      <td>2015-02-15 19:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Arsenal de Sarandí</td>\n",
       "      <td>0</td>\n",
       "      <td>Estudiantes La Plata</td>\n",
       "      <td>1</td>\n",
       "      <td>Darío Herrera</td>\n",
       "      <td>2015-02-16 18:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Banfield</td>\n",
       "      <td>0</td>\n",
       "      <td>Temperley</td>\n",
       "      <td>1</td>\n",
       "      <td>Silvio Trucco</td>\n",
       "      <td>2015-02-14 20:30:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Belgrano</td>\n",
       "      <td>3</td>\n",
       "      <td>Nueva Chicago</td>\n",
       "      <td>1</td>\n",
       "      <td>Mariano González</td>\n",
       "      <td>2015-02-16 21:10:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Boca Juniors</td>\n",
       "      <td>3</td>\n",
       "      <td>Olimpo</td>\n",
       "      <td>1</td>\n",
       "      <td>Fernando Echenique</td>\n",
       "      <td>2015-02-15 18:15:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fecha               local  gl             visitante  gv  \\\n",
       "0      1  Argentinos Juniors   2      Atletico Rafaela   0   \n",
       "1      1  Arsenal de Sarandí   0  Estudiantes La Plata   1   \n",
       "2      1            Banfield   0             Temperley   1   \n",
       "3      1            Belgrano   3         Nueva Chicago   1   \n",
       "4      1        Boca Juniors   3                Olimpo   1   \n",
       "\n",
       "              arbitro            timestamp  \n",
       "0        Pablo Lunati  2015-02-15 19:10:00  \n",
       "1       Darío Herrera  2015-02-16 18:00:00  \n",
       "2       Silvio Trucco  2015-02-14 20:30:00  \n",
       "3    Mariano González  2015-02-16 21:10:00  \n",
       "4  Fernando Echenique  2015-02-15 18:15:00  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# una muestra de los datos que tenemos disponibles: una fila por cada partido, agrupados por fecha\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Precalculamos información útil\n",
    "\n",
    "Vamos a extender nuestros datos con información adicional.\n",
    "\n",
    "En este caso vamos a agregar columnas extras indicando si el resultado del partido fue para el local ('L'), para el visitante ('V') o empate ('E'), y por otro lado, una columna con el total de goles por partido."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['L'], data['E'], data['V'] = data.gl > data.gv, data.gl == data.gv, data.gl < data.gv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['goles'] = data.gl + data.gv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribución de los resultados\n",
    "\n",
    "A partir de los resultados de los partidos vamos a generar un gráfico que refleje qué resultados y cuántos de cada uno se dieron a lo largo del torneo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# nos quedamos con las columnas de goles local y goles visitante (ie. los resultados)\n",
    "goles = data[['gl', 'gv']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# agrupamos los resultados para quedarnos con una ocurrencia de cada combinación y los contamos\n",
    "resultados = goles.groupby(['gl', 'gv'])\n",
    "num_resultados = resultados.size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# separamos resultados y su cantidad, y también los goles, para generar el gráfico\n",
    "uniq_resultados, counts = zip(*num_resultados.iteritems())\n",
    "goles_local, goles_visitante = zip(*uniq_resultados)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fc158124eb8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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A9YhiAAAAWI8oBprMGBP1EgAAwGvEol4AMO4ZI2/DBpnnnlOwapUGikU5U6bIPfpomfnz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\n3v8CXpdEmW9DdJYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc1581a31d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(goles_local, goles_visitante, s=list(map(lambda i: i*20, counts)), c=np.random.rand(len(counts)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribución de Local/Empate/Visitante por fecha\n",
    "\n",
    "Para cada fecha, cantidad de Local/Empate/Visitante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# nos quedamos con las columnas que nos interesan, agrupamos por fecha, y contamos\n",
    "por_fecha = data[['fecha', 'L', 'E', 'V']].groupby(['fecha']).agg(np.count_nonzero)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc15812d898>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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3RGVlZafL05bZLrnkksjlclFSUhKrVq2KgQMHRlNTU6f+MfCVr3wl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\nAEiKAgwAQFIUYAAAkvJ/sQpNar1chCEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc1581a3cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "por_fecha.plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cantidad de goles por fecha\n",
    "\n",
    "Cuál fue la fecha con más goles? La de menor cantidad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# nos quedamos con las columnas que nos interesan, agrupamos y sumamos los goles por fecha\n",
    "goles_por_fecha = data[['fecha', 'goles']].groupby(['fecha']).agg(np.sum)\n",
    "# además calculamos la media\n",
    "promedio_por_fecha = int(goles_por_fecha.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fc158054710>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Y7A1r3hvm1nJ2vc2t5ex6m1vL2fU2t5az9+W5tZz9x+bOnj277/m2tra0tbX1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc158054f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "goles_por_fecha.plot(kind='bar')\n",
    "plt.axhline(promedio_por_fecha, color='k')\n",
    "plt.text(30, promedio_por_fecha, 'media: %d' % promedio_por_fecha)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evolución de los equipos\n",
    "\n",
    "Vamos a graficar cómo fueron progresando los equipos (en este caso el Top 5 final) a lo largo del torneo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# nombres de los equipos\n",
    "equipos = data.local.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# función para calcular los puntos obtenidos por un equipo en un partido dado\n",
    "func_puntos = lambda team, match: 3 if ((match['local'] == team and match['L']) or (match['visitante'] == team and match['V'])) else (1 if match['E'] else 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# puntaje total por equipo\n",
    "final = {}\n",
    "\n",
    "# puntos por fecha por equipo\n",
    "fechas = pd.DataFrame(data.fecha.unique(), columns=['fecha'])\n",
    "for equipo in equipos:\n",
    "    partidos_por_equipo = data[(data.local == equipo) | (data.visitante == equipo)]\n",
    "    puntos = partidos_por_equipo.apply(lambda row: func_puntos(equipo, row), axis=1)\n",
    "    partidos_por_equipo[equipo] = puntos.cumsum()\n",
    "    fechas = fechas.merge(partidos_por_equipo[['fecha', equipo]], on='fecha')\n",
    "    # guardamos el total\n",
    "    final[equipo] = puntos.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# posiciones finales del torneo\n",
    "posiciones = sorted(final.items(), key=lambda i: i[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Boca Juniors', 64),\n",
       " ('San Lorenzo', 61),\n",
       " ('Rosario Central', 59),\n",
       " ('Racing Club', 57),\n",
       " ('Independiente', 54),\n",
       " ('Estudiantes La Plata', 51),\n",
       " ('Belgrano', 51),\n",
       " ('Banfield', 50),\n",
       " ('River Plate', 49),\n",
       " ('Tigre', 46)]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "posiciones[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Dw4MlS5bk6/yEEEIIIYTIK41S0HOW8uDmzZtPfWZmZpbjkb9CZCffjyxyHUoP6cvSRfqz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\nVoiIiIggTh+HWLcW0b9+Hpao4F6q5JYFDjWaUXS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uXIiYmBi/jNlb0ec3QEhKmAd4f68p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utMtGesglCZuj83EVE/wbBCRNTPCCEgXv9vSLmFkJbdGjXu9Ifx1I4G/P3UbAxJT8x5HkII2Ds6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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc157e40048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "N = 5\n",
    "# nos quedamos con los primeros N equipos en las posiciones finales\n",
    "top_n = [e for e, pts in posiciones[:N]]\n",
    "# graficamos la evolución fecha a fecha para esos equipos\n",
    "fechas[['fecha'] + top_n].plot(x='fecha')\n",
    "for e, pts in posiciones[:N]:\n",
    "    plt.text(30, pts, '  %s (%d)' % (e, pts))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}