Slides-05.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "# Trabajando con índices temporales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Para esta sesión trabajaremos con datos `csv` descargados de http://clicom-mex.cicese.mx/. Los archivos se llaman:\n",
    "\n",
    "* `14066-GUADALAJARA (DGE)-JAL-Tprom.csv`\n",
    "\n",
    "* `14066-GUADALAJARA (DGE)-JAL-Precip.csv`\n",
    "\n",
    "Y corresponden a la temperatura promedio y precipitación de una estación meteorológica en Guadalajara."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Cargamos los datos incluyendo `header=7` para que __Pandas__ ignore las siete primeras líneas. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "tpro = pd.read_csv(\"14066-GUADALAJARA (DGE)-JAL-Tprom.csv\", header=7)\n",
    "prec = pd.read_csv(\"14066-GUADALAJARA (DGE)-JAL-Precip.csv\", header=7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Imprimimos las primeras cinco observaciones usando `head()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "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>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Anio</th>\n",
       "      <th>Datos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1930</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>1930</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Mes  Día  Anio  Datos\n",
       "0    9    1  1930   22.0\n",
       "1    9    2  1930   21.5\n",
       "2    9    3  1930   21.5\n",
       "3    9    4  1930   21.5\n",
       "4    9    5  1930   22.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Con esta información podemos hacer una gráfica:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tpro.Datos.plot(figsize=(12,6));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Nótese los espacios vacíos de fechas donde los datos no están disponibles y que el eje de las `x` tiene solo un número consecutivo (el índice)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "__Pandas__ trabaja muy bien con datos de fechas, pero hay que colocar esa información en un formato que pandas lo entienda. Haremos un valor siguiendo el formato AAAAMMDD y lo convertiremos a un dato tipo fecha usando:\n",
    "\n",
    "    pd.to_datetime(tpro.Anio*10000 + tpro.Mes * 100 + tpro.Día,format='%Y%m%d')\n",
    "    \n",
    "y lo guardaremos en un campo llamado Fecha."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "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>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Anio</th>\n",
       "      <th>Datos</th>\n",
       "      <th>Fecha</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1930</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1930-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "      <td>1930-09-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "      <td>1930-09-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "      <td>1930-09-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>1930</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1930-09-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Mes  Día  Anio  Datos      Fecha\n",
       "0    9    1  1930   22.0 1930-09-01\n",
       "1    9    2  1930   21.5 1930-09-02\n",
       "2    9    3  1930   21.5 1930-09-03\n",
       "3    9    4  1930   21.5 1930-09-04\n",
       "4    9    5  1930   22.0 1930-09-05"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro['Fecha'] = pd.to_datetime(tpro.Anio*10000 + tpro.Mes * 100 + tpro.Día,format='%Y%m%d')\n",
    "prec['Fecha'] = pd.to_datetime(prec.Anio*10000 + prec.Mes * 100 + prec.Día,format='%Y%m%d')\n",
    "tpro.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Ahora, lo seleccionamos como índice, usando:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "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>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Anio</th>\n",
       "      <th>Datos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fecha</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1930-09-01</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1930</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-02</th>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-03</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-04</th>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>1930</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-05</th>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>1930</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Mes  Día  Anio  Datos\n",
       "Fecha                            \n",
       "1930-09-01    9    1  1930   22.0\n",
       "1930-09-02    9    2  1930   21.5\n",
       "1930-09-03    9    3  1930   21.5\n",
       "1930-09-04    9    4  1930   21.5\n",
       "1930-09-05    9    5  1930   22.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.set_index('Fecha', inplace=True)\n",
    "prec.set_index('Fecha', inplace=True)\n",
    "tpro.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Podemos borrar los campos que no utilizaremos con:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "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>Datos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fecha</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1930-09-01</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-02</th>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-03</th>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-04</th>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930-09-05</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Datos\n",
       "Fecha            \n",
       "1930-09-01   22.0\n",
       "1930-09-02   21.5\n",
       "1930-09-03   21.5\n",
       "1930-09-04   21.5\n",
       "1930-09-05   22.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.drop(['Día','Mes','Anio'], axis=1, inplace=True)\n",
    "prec.drop(['Día','Mes','Anio'], axis=1, inplace=True)\n",
    "tpro.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "La gran ventaja de utilizar el tiempo como índice es que podemos filtrar los datos directamente:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Datos    18.25\n",
       "Name: 1980-02-15 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.loc['1980-02-15']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "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>Datos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fecha</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1980-02-01</th>\n",
       "      <td>18.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-02</th>\n",
       "      <td>18.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-03</th>\n",
       "      <td>19.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-04</th>\n",
       "      <td>17.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-05</th>\n",
       "      <td>15.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-06</th>\n",
       "      <td>18.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-07</th>\n",
       "      <td>17.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-08</th>\n",
       "      <td>17.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-09</th>\n",
       "      <td>20.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-10</th>\n",
       "      <td>19.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-11</th>\n",
       "      <td>19.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-12</th>\n",
       "      <td>16.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-13</th>\n",
       "      <td>14.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-14</th>\n",
       "      <td>17.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-15</th>\n",
       "      <td>18.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Datos\n",
       "Fecha            \n",
       "1980-02-01  18.25\n",
       "1980-02-02  18.75\n",
       "1980-02-03  19.75\n",
       "1980-02-04  17.75\n",
       "1980-02-05  15.75\n",
       "1980-02-06  18.25\n",
       "1980-02-07  17.75\n",
       "1980-02-08  17.75\n",
       "1980-02-09  20.25\n",
       "1980-02-10  19.50\n",
       "1980-02-11  19.75\n",
       "1980-02-12  16.25\n",
       "1980-02-13  14.50\n",
       "1980-02-14  17.25\n",
       "1980-02-15  18.25"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.loc['1980-02-01':'1980-02-15']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "El tipo de dato `datetime` es un tipo como `int` o `float` y tiene sus propias características."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([1930, 1930, 1930, 1930, 1930, 1930, 1930, 1930, 1930, 1930,\n",
       "       ...\n",
       "       2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014],\n",
       "      dtype='int32', name='Fecha', length=30803)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.index.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([ 9,  9,  9,  9,  9,  9,  9,  9,  9,  9,\n",
       "       ...\n",
       "       12, 12, 12, 12, 12, 12, 12, 12, 12, 12],\n",
       "      dtype='int32', name='Fecha', length=30803)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.index.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10,\n",
       "       ...\n",
       "       22, 23, 24, 25, 26, 27, 28, 29, 30, 31],\n",
       "      dtype='int32', name='Fecha', length=30803)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.index.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([244, 245, 246, 247, 248, 249, 250, 251, 252, 253,\n",
       "       ...\n",
       "       356, 357, 358, 359, 360, 361, 362, 363, 364, 365],\n",
       "      dtype='int32', name='Fecha', length=30803)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.index.dayofyear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Para trabajar con estos índices resulta práctico declarar las siguientes funciones:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "filtro_dia = lambda x: x.day\n",
    "filtro_mes = lambda x: x.month\n",
    "filtro_año = lambda x: x.year\n",
    "filtro_dia_del_año = lambda x: x.dayofyear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Por ejemplo, para obtener la temperatura promedio del primero de julio:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "La temperatura pomedio para el 4 del mes 7 ha sido 22.1°C\n"
     ]
    }
   ],
   "source": [
    "dia = 4\n",
    "mes = 7\n",
    "\n",
    "t_dia = tpro[(tpro.index.map(filtro_dia) == dia) & (tpro.index.map(filtro_mes) == mes)].Datos.mean()\n",
    "print(\"La temperatura pomedio para el {} del mes {} ha sido {:.1f}°C\".format(dia, mes, t_dia))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "La temperatura pomedio para el dia 185 ha sido 22.2°C\n"
     ]
    }
   ],
   "source": [
    "t_dia = tpro[(tpro.index.map(filtro_dia_del_año) == 185)].Datos.mean()\n",
    "print(\"La temperatura pomedio para el dia 185 ha sido {:.1f}°C\".format(t_dia))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Agrupando datos con groupby()\n",
    "\n",
    "El método `groupby()` nos permite agrupar los datos según algún dato. El resultado es un objeto `groupby` que necesita alguna función de _agregación_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x7feebf386610>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.groupby(filtro_dia_del_año)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Datos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fecha</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16.688667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.672368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.912500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.151316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>17.072667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>17.042763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16.912500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>16.992763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16.936184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>16.930263</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Datos\n",
       "Fecha           \n",
       "1      16.688667\n",
       "2      16.672368\n",
       "3      16.912500\n",
       "4      17.151316\n",
       "5      17.072667\n",
       "6      17.042763\n",
       "7      16.912500\n",
       "8      16.992763\n",
       "9      16.936184\n",
       "10     16.930263"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.groupby(filtro_dia_del_año).mean().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Datos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fecha</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Datos\n",
       "Fecha       \n",
       "1      20.00\n",
       "2      20.00\n",
       "3      20.25\n",
       "4      20.00\n",
       "5      20.00\n",
       "6      20.50\n",
       "7      20.00\n",
       "8      20.00\n",
       "9      20.50\n",
       "10     20.50"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.groupby(filtro_dia_del_año).max().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "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>Datos</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fecha</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>13.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Datos\n",
       "Fecha       \n",
       "1      11.75\n",
       "2       7.50\n",
       "3      11.20\n",
       "4      13.00\n",
       "5      11.00\n",
       "6      10.00\n",
       "7       9.25\n",
       "8       9.75\n",
       "9      12.00\n",
       "10     13.00"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tpro.groupby(filtro_dia_del_año).min().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Temperatura promedio'}, xlabel='Fecha'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tpro.Datos.groupby(filtro_dia_del_año).mean().plot(title='Temperatura promedio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Precipitación'}, xlabel='Fecha'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prec.Datos.groupby(filtro_dia_del_año).mean().plot(title='Precipitación')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Temperatura promedio')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tpro.Datos.groupby(filtro_dia_del_año).mean().plot()\n",
    "plt.plot((185, 185), (16, 25))\n",
    "plt.title(\"Temperatura promedio\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Precipitación')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prec.Datos.groupby(filtro_dia_del_año).mean().plot()\n",
    "plt.plot((185,185), (0, 14))\n",
    "plt.title(\"Precipitación\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Otro ejemplo, la temperatura promedio por año:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Fecha'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tpro.Datos.groupby(filtro_año).mean().plot()\n"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}