{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Estacionalidad del número de pasajeros del aeropuerto Juan Santamaría"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Importando y limpiando los datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Los datos fueron obtenidos de la [ARESEP](https://aresep.go.cr/transparencia/datos-abiertos/pasajeros-movilizados-aeropuerto-internacional)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-talk')\n",
    "figpath = \"../figures/\"\n",
    "\n",
    "plt.rc('figure', figsize=[8.0,4.0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "from statsmodels.tsa.x13 import x13_arima_select_order, x13_arima_analysis\n",
    "from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
    "\n",
    "x13path = '.'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "meses = ['Enero', 'Febrero','Marzo','Abril','Mayo','Junio','Julio','Agosto','Setiembre','Octubre', 'Noviembre','Diciembre']\n",
    "mesescorto = [x[:3] for x in meses]\n",
    "meses2 = {mes: i for i, mes in enumerate(meses, start=1)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "SJO = pd.read_csv(\"https://github.com/randall-romero/econometria/raw/master/data/Datos-ARESEP-Pasajeros-por-aeropuerto.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "        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>Aeropuerto</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Cantidad Nacionales</th>\n",
       "      <th>Cantidad Extrajeros</th>\n",
       "      <th>Cantidad En Tránsito</th>\n",
       "      <th>Cantidad Exentos</th>\n",
       "      <th>Total Pasajeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Diciembre</td>\n",
       "      <td>2019</td>\n",
       "      <td>98254</td>\n",
       "      <td>153319</td>\n",
       "      <td>1420</td>\n",
       "      <td>0</td>\n",
       "      <td>252993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Noviembre</td>\n",
       "      <td>2019</td>\n",
       "      <td>69338</td>\n",
       "      <td>122130</td>\n",
       "      <td>600</td>\n",
       "      <td>0</td>\n",
       "      <td>192068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Octubre</td>\n",
       "      <td>2019</td>\n",
       "      <td>69836</td>\n",
       "      <td>102038</td>\n",
       "      <td>531</td>\n",
       "      <td>0</td>\n",
       "      <td>172405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Setiembre</td>\n",
       "      <td>2019</td>\n",
       "      <td>72172</td>\n",
       "      <td>101211</td>\n",
       "      <td>456</td>\n",
       "      <td>0</td>\n",
       "      <td>173839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2019</td>\n",
       "      <td>57089</td>\n",
       "      <td>156401</td>\n",
       "      <td>370</td>\n",
       "      <td>0</td>\n",
       "      <td>213860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Mayo</td>\n",
       "      <td>2011</td>\n",
       "      <td>30666</td>\n",
       "      <td>82713</td>\n",
       "      <td>2223</td>\n",
       "      <td>0</td>\n",
       "      <td>115602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Abril</td>\n",
       "      <td>2011</td>\n",
       "      <td>35224</td>\n",
       "      <td>103098</td>\n",
       "      <td>2221</td>\n",
       "      <td>0</td>\n",
       "      <td>140543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2011</td>\n",
       "      <td>26900</td>\n",
       "      <td>128936</td>\n",
       "      <td>2794</td>\n",
       "      <td>0</td>\n",
       "      <td>158630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Febrero</td>\n",
       "      <td>2011</td>\n",
       "      <td>24621</td>\n",
       "      <td>105360</td>\n",
       "      <td>1888</td>\n",
       "      <td>0</td>\n",
       "      <td>131869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>Enero</td>\n",
       "      <td>2011</td>\n",
       "      <td>39797</td>\n",
       "      <td>116312</td>\n",
       "      <td>1920</td>\n",
       "      <td>0</td>\n",
       "      <td>158029</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Aeropuerto        Mes   Año  \\\n",
       "0    Aeropuerto Internacional Juan Santamaría  Diciembre  2019   \n",
       "1    Aeropuerto Internacional Juan Santamaría  Noviembre  2019   \n",
       "2    Aeropuerto Internacional Juan Santamaría    Octubre  2019   \n",
       "3    Aeropuerto Internacional Juan Santamaría  Setiembre  2019   \n",
       "4    Aeropuerto Internacional Juan Santamaría     Agosto  2019   \n",
       "..                                        ...        ...   ...   \n",
       "103  Aeropuerto Internacional Juan Santamaría       Mayo  2011   \n",
       "104  Aeropuerto Internacional Juan Santamaría      Abril  2011   \n",
       "105  Aeropuerto Internacional Juan Santamaría      Marzo  2011   \n",
       "106  Aeropuerto Internacional Juan Santamaría    Febrero  2011   \n",
       "107  Aeropuerto Internacional Juan Santamaría      Enero  2011   \n",
       "\n",
       "     Cantidad Nacionales  Cantidad Extrajeros  Cantidad En Tránsito  \\\n",
       "0                  98254               153319                  1420   \n",
       "1                  69338               122130                   600   \n",
       "2                  69836               102038                   531   \n",
       "3                  72172               101211                   456   \n",
       "4                  57089               156401                   370   \n",
       "..                   ...                  ...                   ...   \n",
       "103                30666                82713                  2223   \n",
       "104                35224               103098                  2221   \n",
       "105                26900               128936                  2794   \n",
       "106                24621               105360                  1888   \n",
       "107                39797               116312                  1920   \n",
       "\n",
       "     Cantidad Exentos  Total Pasajeros  \n",
       "0                   0           252993  \n",
       "1                   0           192068  \n",
       "2                   0           172405  \n",
       "3                   0           173839  \n",
       "4                   0           213860  \n",
       "..                ...              ...  \n",
       "103                 0           115602  \n",
       "104                 0           140543  \n",
       "105                 0           158630  \n",
       "106                 0           131869  \n",
       "107                 0           158029  \n",
       "\n",
       "[108 rows x 8 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SJO.query('Aeropuerto ==\"Aeropuerto Internacional Juan Santamaría\"', inplace=True)\n",
    "SJO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
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       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
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       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>10</td>\n",
       "      <td>2019</td>\n",
       "      <td>69836</td>\n",
       "      <td>102038</td>\n",
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       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>57089</td>\n",
       "      <td>156401</td>\n",
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       "      <th>103</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>5</td>\n",
       "      <td>2011</td>\n",
       "      <td>30666</td>\n",
       "      <td>82713</td>\n",
       "      <td>2223</td>\n",
       "      <td>0</td>\n",
       "      <td>115602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>4</td>\n",
       "      <td>2011</td>\n",
       "      <td>35224</td>\n",
       "      <td>103098</td>\n",
       "      <td>2221</td>\n",
       "      <td>0</td>\n",
       "      <td>140543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>3</td>\n",
       "      <td>2011</td>\n",
       "      <td>26900</td>\n",
       "      <td>128936</td>\n",
       "      <td>2794</td>\n",
       "      <td>0</td>\n",
       "      <td>158630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>2</td>\n",
       "      <td>2011</td>\n",
       "      <td>24621</td>\n",
       "      <td>105360</td>\n",
       "      <td>1888</td>\n",
       "      <td>0</td>\n",
       "      <td>131869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>1</td>\n",
       "      <td>2011</td>\n",
       "      <td>39797</td>\n",
       "      <td>116312</td>\n",
       "      <td>1920</td>\n",
       "      <td>0</td>\n",
       "      <td>158029</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Aeropuerto  Mes   Año  Cantidad Nacionales  \\\n",
       "0    Aeropuerto Internacional Juan Santamaría   12  2019                98254   \n",
       "1    Aeropuerto Internacional Juan Santamaría   11  2019                69338   \n",
       "2    Aeropuerto Internacional Juan Santamaría   10  2019                69836   \n",
       "3    Aeropuerto Internacional Juan Santamaría    9  2019                72172   \n",
       "4    Aeropuerto Internacional Juan Santamaría    8  2019                57089   \n",
       "..                                        ...  ...   ...                  ...   \n",
       "103  Aeropuerto Internacional Juan Santamaría    5  2011                30666   \n",
       "104  Aeropuerto Internacional Juan Santamaría    4  2011                35224   \n",
       "105  Aeropuerto Internacional Juan Santamaría    3  2011                26900   \n",
       "106  Aeropuerto Internacional Juan Santamaría    2  2011                24621   \n",
       "107  Aeropuerto Internacional Juan Santamaría    1  2011                39797   \n",
       "\n",
       "     Cantidad Extrajeros  Cantidad En Tránsito  Cantidad Exentos  \\\n",
       "0                 153319                  1420                 0   \n",
       "1                 122130                   600                 0   \n",
       "2                 102038                   531                 0   \n",
       "3                 101211                   456                 0   \n",
       "4                 156401                   370                 0   \n",
       "..                   ...                   ...               ...   \n",
       "103                82713                  2223                 0   \n",
       "104               103098                  2221                 0   \n",
       "105               128936                  2794                 0   \n",
       "106               105360                  1888                 0   \n",
       "107               116312                  1920                 0   \n",
       "\n",
       "     Total Pasajeros  \n",
       "0             252993  \n",
       "1             192068  \n",
       "2             172405  \n",
       "3             173839  \n",
       "4             213860  \n",
       "..               ...  \n",
       "103           115602  \n",
       "104           140543  \n",
       "105           158630  \n",
       "106           131869  \n",
       "107           158029  \n",
       "\n",
       "[108 rows x 8 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SJO.replace(meses2, None,inplace=True)\n",
    "SJO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th>105</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>3</td>\n",
       "      <td>2011</td>\n",
       "      <td>26900</td>\n",
       "      <td>128936</td>\n",
       "      <td>2794</td>\n",
       "      <td>0</td>\n",
       "      <td>158630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>4</td>\n",
       "      <td>2011</td>\n",
       "      <td>35224</td>\n",
       "      <td>103098</td>\n",
       "      <td>2221</td>\n",
       "      <td>0</td>\n",
       "      <td>140543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>5</td>\n",
       "      <td>2011</td>\n",
       "      <td>30666</td>\n",
       "      <td>82713</td>\n",
       "      <td>2223</td>\n",
       "      <td>0</td>\n",
       "      <td>115602</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>57089</td>\n",
       "      <td>156401</td>\n",
       "      <td>370</td>\n",
       "      <td>0</td>\n",
       "      <td>213860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>72172</td>\n",
       "      <td>101211</td>\n",
       "      <td>456</td>\n",
       "      <td>0</td>\n",
       "      <td>173839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>10</td>\n",
       "      <td>2019</td>\n",
       "      <td>69836</td>\n",
       "      <td>102038</td>\n",
       "      <td>531</td>\n",
       "      <td>0</td>\n",
       "      <td>172405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>69338</td>\n",
       "      <td>122130</td>\n",
       "      <td>600</td>\n",
       "      <td>0</td>\n",
       "      <td>192068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "      <td>98254</td>\n",
       "      <td>153319</td>\n",
       "      <td>1420</td>\n",
       "      <td>0</td>\n",
       "      <td>252993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Aeropuerto  Mes   Año  Cantidad Nacionales  \\\n",
       "107  Aeropuerto Internacional Juan Santamaría    1  2011                39797   \n",
       "106  Aeropuerto Internacional Juan Santamaría    2  2011                24621   \n",
       "105  Aeropuerto Internacional Juan Santamaría    3  2011                26900   \n",
       "104  Aeropuerto Internacional Juan Santamaría    4  2011                35224   \n",
       "103  Aeropuerto Internacional Juan Santamaría    5  2011                30666   \n",
       "..                                        ...  ...   ...                  ...   \n",
       "4    Aeropuerto Internacional Juan Santamaría    8  2019                57089   \n",
       "3    Aeropuerto Internacional Juan Santamaría    9  2019                72172   \n",
       "2    Aeropuerto Internacional Juan Santamaría   10  2019                69836   \n",
       "1    Aeropuerto Internacional Juan Santamaría   11  2019                69338   \n",
       "0    Aeropuerto Internacional Juan Santamaría   12  2019                98254   \n",
       "\n",
       "     Cantidad Extrajeros  Cantidad En Tránsito  Cantidad Exentos  \\\n",
       "107               116312                  1920                 0   \n",
       "106               105360                  1888                 0   \n",
       "105               128936                  2794                 0   \n",
       "104               103098                  2221                 0   \n",
       "103                82713                  2223                 0   \n",
       "..                   ...                   ...               ...   \n",
       "4                 156401                   370                 0   \n",
       "3                 101211                   456                 0   \n",
       "2                 102038                   531                 0   \n",
       "1                 122130                   600                 0   \n",
       "0                 153319                  1420                 0   \n",
       "\n",
       "     Total Pasajeros  \n",
       "107           158029  \n",
       "106           131869  \n",
       "105           158630  \n",
       "104           140543  \n",
       "103           115602  \n",
       "..               ...  \n",
       "4             213860  \n",
       "3             173839  \n",
       "2             172405  \n",
       "1             192068  \n",
       "0             252993  \n",
       "\n",
       "[108 rows x 8 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SJO.sort_values(['Año','Mes'], inplace=True)\n",
    "SJO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Aeropuerto</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Cantidad Nacionales</th>\n",
       "      <th>Cantidad Extrajeros</th>\n",
       "      <th>Cantidad En Tránsito</th>\n",
       "      <th>Cantidad Exentos</th>\n",
       "      <th>Total Pasajeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>1</td>\n",
       "      <td>2011</td>\n",
       "      <td>39797</td>\n",
       "      <td>116312</td>\n",
       "      <td>1920</td>\n",
       "      <td>0</td>\n",
       "      <td>158029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>2</td>\n",
       "      <td>2011</td>\n",
       "      <td>24621</td>\n",
       "      <td>105360</td>\n",
       "      <td>1888</td>\n",
       "      <td>0</td>\n",
       "      <td>131869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>3</td>\n",
       "      <td>2011</td>\n",
       "      <td>26900</td>\n",
       "      <td>128936</td>\n",
       "      <td>2794</td>\n",
       "      <td>0</td>\n",
       "      <td>158630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>4</td>\n",
       "      <td>2011</td>\n",
       "      <td>35224</td>\n",
       "      <td>103098</td>\n",
       "      <td>2221</td>\n",
       "      <td>0</td>\n",
       "      <td>140543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>5</td>\n",
       "      <td>2011</td>\n",
       "      <td>30666</td>\n",
       "      <td>82713</td>\n",
       "      <td>2223</td>\n",
       "      <td>0</td>\n",
       "      <td>115602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "      <td>57089</td>\n",
       "      <td>156401</td>\n",
       "      <td>370</td>\n",
       "      <td>0</td>\n",
       "      <td>213860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "      <td>72172</td>\n",
       "      <td>101211</td>\n",
       "      <td>456</td>\n",
       "      <td>0</td>\n",
       "      <td>173839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>10</td>\n",
       "      <td>2019</td>\n",
       "      <td>69836</td>\n",
       "      <td>102038</td>\n",
       "      <td>531</td>\n",
       "      <td>0</td>\n",
       "      <td>172405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "      <td>69338</td>\n",
       "      <td>122130</td>\n",
       "      <td>600</td>\n",
       "      <td>0</td>\n",
       "      <td>192068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12</th>\n",
       "      <td>Aeropuerto Internacional Juan Santamaría</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "      <td>98254</td>\n",
       "      <td>153319</td>\n",
       "      <td>1420</td>\n",
       "      <td>0</td>\n",
       "      <td>252993</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Aeropuerto  Mes   Año  \\\n",
       "2011-01  Aeropuerto Internacional Juan Santamaría    1  2011   \n",
       "2011-02  Aeropuerto Internacional Juan Santamaría    2  2011   \n",
       "2011-03  Aeropuerto Internacional Juan Santamaría    3  2011   \n",
       "2011-04  Aeropuerto Internacional Juan Santamaría    4  2011   \n",
       "2011-05  Aeropuerto Internacional Juan Santamaría    5  2011   \n",
       "...                                           ...  ...   ...   \n",
       "2019-08  Aeropuerto Internacional Juan Santamaría    8  2019   \n",
       "2019-09  Aeropuerto Internacional Juan Santamaría    9  2019   \n",
       "2019-10  Aeropuerto Internacional Juan Santamaría   10  2019   \n",
       "2019-11  Aeropuerto Internacional Juan Santamaría   11  2019   \n",
       "2019-12  Aeropuerto Internacional Juan Santamaría   12  2019   \n",
       "\n",
       "         Cantidad Nacionales  Cantidad Extrajeros  Cantidad En Tránsito  \\\n",
       "2011-01                39797               116312                  1920   \n",
       "2011-02                24621               105360                  1888   \n",
       "2011-03                26900               128936                  2794   \n",
       "2011-04                35224               103098                  2221   \n",
       "2011-05                30666                82713                  2223   \n",
       "...                      ...                  ...                   ...   \n",
       "2019-08                57089               156401                   370   \n",
       "2019-09                72172               101211                   456   \n",
       "2019-10                69836               102038                   531   \n",
       "2019-11                69338               122130                   600   \n",
       "2019-12                98254               153319                  1420   \n",
       "\n",
       "         Cantidad Exentos  Total Pasajeros  \n",
       "2011-01                 0           158029  \n",
       "2011-02                 0           131869  \n",
       "2011-03                 0           158630  \n",
       "2011-04                 0           140543  \n",
       "2011-05                 0           115602  \n",
       "...                   ...              ...  \n",
       "2019-08                 0           213860  \n",
       "2019-09                 0           173839  \n",
       "2019-10                 0           172405  \n",
       "2019-11                 0           192068  \n",
       "2019-12                 0           252993  \n",
       "\n",
       "[108 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SJO.index = pd.period_range(start=f\"{SJO['Año'].iloc[0]}-{SJO['Mes'].iloc[0]}\", periods=SJO.shape[0], freq='M')\n",
    "SJO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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",
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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>nacionales</th>\n",
       "      <th>extranjeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01</th>\n",
       "      <td>39797</td>\n",
       "      <td>116312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02</th>\n",
       "      <td>24621</td>\n",
       "      <td>105360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03</th>\n",
       "      <td>26900</td>\n",
       "      <td>128936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04</th>\n",
       "      <td>35224</td>\n",
       "      <td>103098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05</th>\n",
       "      <td>30666</td>\n",
       "      <td>82713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08</th>\n",
       "      <td>57089</td>\n",
       "      <td>156401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09</th>\n",
       "      <td>72172</td>\n",
       "      <td>101211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10</th>\n",
       "      <td>69836</td>\n",
       "      <td>102038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11</th>\n",
       "      <td>69338</td>\n",
       "      <td>122130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12</th>\n",
       "      <td>98254</td>\n",
       "      <td>153319</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         nacionales  extranjeros\n",
       "2011-01       39797       116312\n",
       "2011-02       24621       105360\n",
       "2011-03       26900       128936\n",
       "2011-04       35224       103098\n",
       "2011-05       30666        82713\n",
       "...             ...          ...\n",
       "2019-08       57089       156401\n",
       "2019-09       72172       101211\n",
       "2019-10       69836       102038\n",
       "2019-11       69338       122130\n",
       "2019-12       98254       153319\n",
       "\n",
       "[108 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SJO.drop(['Aeropuerto', 'Mes', 'Año', 'Cantidad En Tránsito', 'Cantidad Exentos','Total Pasajeros'], axis=1,inplace=True)\n",
    "SJO.rename(columns={'Cantidad Nacionales':'nacionales', 'Cantidad Extrajeros':'extranjeros'}, inplace=True)\n",
    "SJO                    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Gráficos de estacionalidad"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Serie de tiempo original contra el tiempo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sjodatos = SJO/1000\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "sjodatos.plot(ax=ax)\n",
    "ax.set(xlabel='', ylabel='miles de pasajeros', title='Cantidad de pasajeros del aeropuerto Juan Santamaría, por mes y residencia')\n",
    "fig.savefig(figpath+'SJO-pasajeros.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Cada mes en su propio gráfico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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></th>\n",
       "      <th>nacionales</th>\n",
       "      <th>extranjeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2011</th>\n",
       "      <th>1</th>\n",
       "      <td>39.797</td>\n",
       "      <td>116.312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24.621</td>\n",
       "      <td>105.360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26.900</td>\n",
       "      <td>128.936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35.224</td>\n",
       "      <td>103.098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>30.666</td>\n",
       "      <td>82.713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2019</th>\n",
       "      <th>8</th>\n",
       "      <td>57.089</td>\n",
       "      <td>156.401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>72.172</td>\n",
       "      <td>101.211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>69.836</td>\n",
       "      <td>102.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>69.338</td>\n",
       "      <td>122.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>98.254</td>\n",
       "      <td>153.319</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         nacionales  extranjeros\n",
       "2011 1       39.797      116.312\n",
       "     2       24.621      105.360\n",
       "     3       26.900      128.936\n",
       "     4       35.224      103.098\n",
       "     5       30.666       82.713\n",
       "...             ...          ...\n",
       "2019 8       57.089      156.401\n",
       "     9       72.172      101.211\n",
       "     10      69.836      102.038\n",
       "     11      69.338      122.130\n",
       "     12      98.254      153.319\n",
       "\n",
       "[108 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sjodatos.index = pd.MultiIndex.from_arrays([sjodatos.index.year, sjodatos.index.month])\n",
    "sjodatos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\">nacionales</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">extranjeros</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>...</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>39.797</td>\n",
       "      <td>24.621</td>\n",
       "      <td>26.900</td>\n",
       "      <td>35.224</td>\n",
       "      <td>30.666</td>\n",
       "      <td>30.401</td>\n",
       "      <td>37.952</td>\n",
       "      <td>28.605</td>\n",
       "      <td>34.890</td>\n",
       "      <td>33.800</td>\n",
       "      <td>...</td>\n",
       "      <td>128.936</td>\n",
       "      <td>103.098</td>\n",
       "      <td>82.713</td>\n",
       "      <td>87.984</td>\n",
       "      <td>103.344</td>\n",
       "      <td>102.893</td>\n",
       "      <td>64.575</td>\n",
       "      <td>62.624</td>\n",
       "      <td>77.548</td>\n",
       "      <td>90.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>43.013</td>\n",
       "      <td>26.159</td>\n",
       "      <td>32.688</td>\n",
       "      <td>33.113</td>\n",
       "      <td>32.652</td>\n",
       "      <td>33.565</td>\n",
       "      <td>40.250</td>\n",
       "      <td>31.762</td>\n",
       "      <td>39.582</td>\n",
       "      <td>37.254</td>\n",
       "      <td>...</td>\n",
       "      <td>130.949</td>\n",
       "      <td>106.010</td>\n",
       "      <td>82.235</td>\n",
       "      <td>89.148</td>\n",
       "      <td>105.916</td>\n",
       "      <td>105.745</td>\n",
       "      <td>67.775</td>\n",
       "      <td>60.425</td>\n",
       "      <td>79.305</td>\n",
       "      <td>92.365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>43.173</td>\n",
       "      <td>27.828</td>\n",
       "      <td>35.259</td>\n",
       "      <td>31.420</td>\n",
       "      <td>32.242</td>\n",
       "      <td>35.732</td>\n",
       "      <td>40.899</td>\n",
       "      <td>32.744</td>\n",
       "      <td>40.120</td>\n",
       "      <td>36.303</td>\n",
       "      <td>...</td>\n",
       "      <td>133.010</td>\n",
       "      <td>108.496</td>\n",
       "      <td>85.302</td>\n",
       "      <td>94.980</td>\n",
       "      <td>110.324</td>\n",
       "      <td>112.790</td>\n",
       "      <td>69.996</td>\n",
       "      <td>67.254</td>\n",
       "      <td>83.521</td>\n",
       "      <td>107.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>49.453</td>\n",
       "      <td>29.900</td>\n",
       "      <td>31.389</td>\n",
       "      <td>41.355</td>\n",
       "      <td>35.077</td>\n",
       "      <td>41.290</td>\n",
       "      <td>40.989</td>\n",
       "      <td>33.387</td>\n",
       "      <td>42.932</td>\n",
       "      <td>39.352</td>\n",
       "      <td>...</td>\n",
       "      <td>146.267</td>\n",
       "      <td>111.881</td>\n",
       "      <td>93.133</td>\n",
       "      <td>96.394</td>\n",
       "      <td>111.423</td>\n",
       "      <td>116.790</td>\n",
       "      <td>71.728</td>\n",
       "      <td>67.279</td>\n",
       "      <td>85.296</td>\n",
       "      <td>104.898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>52.436</td>\n",
       "      <td>32.709</td>\n",
       "      <td>45.565</td>\n",
       "      <td>42.523</td>\n",
       "      <td>45.060</td>\n",
       "      <td>41.610</td>\n",
       "      <td>55.015</td>\n",
       "      <td>40.342</td>\n",
       "      <td>51.761</td>\n",
       "      <td>49.628</td>\n",
       "      <td>...</td>\n",
       "      <td>143.845</td>\n",
       "      <td>122.819</td>\n",
       "      <td>96.530</td>\n",
       "      <td>105.053</td>\n",
       "      <td>121.514</td>\n",
       "      <td>129.884</td>\n",
       "      <td>79.581</td>\n",
       "      <td>76.395</td>\n",
       "      <td>100.505</td>\n",
       "      <td>122.606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>65.559</td>\n",
       "      <td>39.922</td>\n",
       "      <td>54.733</td>\n",
       "      <td>50.743</td>\n",
       "      <td>50.182</td>\n",
       "      <td>49.813</td>\n",
       "      <td>71.237</td>\n",
       "      <td>47.848</td>\n",
       "      <td>61.263</td>\n",
       "      <td>59.788</td>\n",
       "      <td>...</td>\n",
       "      <td>161.254</td>\n",
       "      <td>131.984</td>\n",
       "      <td>108.096</td>\n",
       "      <td>113.257</td>\n",
       "      <td>134.607</td>\n",
       "      <td>138.666</td>\n",
       "      <td>84.513</td>\n",
       "      <td>83.165</td>\n",
       "      <td>102.438</td>\n",
       "      <td>124.247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>83.350</td>\n",
       "      <td>45.407</td>\n",
       "      <td>59.057</td>\n",
       "      <td>75.897</td>\n",
       "      <td>56.384</td>\n",
       "      <td>57.548</td>\n",
       "      <td>72.454</td>\n",
       "      <td>55.641</td>\n",
       "      <td>66.218</td>\n",
       "      <td>67.918</td>\n",
       "      <td>...</td>\n",
       "      <td>178.954</td>\n",
       "      <td>148.746</td>\n",
       "      <td>119.364</td>\n",
       "      <td>126.756</td>\n",
       "      <td>141.006</td>\n",
       "      <td>142.777</td>\n",
       "      <td>97.889</td>\n",
       "      <td>90.238</td>\n",
       "      <td>117.062</td>\n",
       "      <td>134.992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>80.747</td>\n",
       "      <td>46.119</td>\n",
       "      <td>61.855</td>\n",
       "      <td>58.915</td>\n",
       "      <td>57.026</td>\n",
       "      <td>59.374</td>\n",
       "      <td>66.564</td>\n",
       "      <td>53.858</td>\n",
       "      <td>66.628</td>\n",
       "      <td>69.615</td>\n",
       "      <td>...</td>\n",
       "      <td>189.397</td>\n",
       "      <td>161.284</td>\n",
       "      <td>127.450</td>\n",
       "      <td>134.066</td>\n",
       "      <td>148.868</td>\n",
       "      <td>155.950</td>\n",
       "      <td>100.333</td>\n",
       "      <td>93.870</td>\n",
       "      <td>120.440</td>\n",
       "      <td>140.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>83.142</td>\n",
       "      <td>50.683</td>\n",
       "      <td>50.288</td>\n",
       "      <td>74.966</td>\n",
       "      <td>62.038</td>\n",
       "      <td>61.487</td>\n",
       "      <td>67.462</td>\n",
       "      <td>57.089</td>\n",
       "      <td>72.172</td>\n",
       "      <td>69.836</td>\n",
       "      <td>...</td>\n",
       "      <td>206.724</td>\n",
       "      <td>157.030</td>\n",
       "      <td>128.220</td>\n",
       "      <td>136.965</td>\n",
       "      <td>151.372</td>\n",
       "      <td>156.401</td>\n",
       "      <td>101.211</td>\n",
       "      <td>102.038</td>\n",
       "      <td>122.130</td>\n",
       "      <td>153.319</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     nacionales                                                          \\\n",
       "             1       2       3       4       5       6       7       8    \n",
       "2011     39.797  24.621  26.900  35.224  30.666  30.401  37.952  28.605   \n",
       "2012     43.013  26.159  32.688  33.113  32.652  33.565  40.250  31.762   \n",
       "2013     43.173  27.828  35.259  31.420  32.242  35.732  40.899  32.744   \n",
       "2014     49.453  29.900  31.389  41.355  35.077  41.290  40.989  33.387   \n",
       "2015     52.436  32.709  45.565  42.523  45.060  41.610  55.015  40.342   \n",
       "2016     65.559  39.922  54.733  50.743  50.182  49.813  71.237  47.848   \n",
       "2017     83.350  45.407  59.057  75.897  56.384  57.548  72.454  55.641   \n",
       "2018     80.747  46.119  61.855  58.915  57.026  59.374  66.564  53.858   \n",
       "2019     83.142  50.683  50.288  74.966  62.038  61.487  67.462  57.089   \n",
       "\n",
       "                      ... extranjeros                                      \\\n",
       "          9       10  ...          3        4        5        6        7    \n",
       "2011  34.890  33.800  ...     128.936  103.098   82.713   87.984  103.344   \n",
       "2012  39.582  37.254  ...     130.949  106.010   82.235   89.148  105.916   \n",
       "2013  40.120  36.303  ...     133.010  108.496   85.302   94.980  110.324   \n",
       "2014  42.932  39.352  ...     146.267  111.881   93.133   96.394  111.423   \n",
       "2015  51.761  49.628  ...     143.845  122.819   96.530  105.053  121.514   \n",
       "2016  61.263  59.788  ...     161.254  131.984  108.096  113.257  134.607   \n",
       "2017  66.218  67.918  ...     178.954  148.746  119.364  126.756  141.006   \n",
       "2018  66.628  69.615  ...     189.397  161.284  127.450  134.066  148.868   \n",
       "2019  72.172  69.836  ...     206.724  157.030  128.220  136.965  151.372   \n",
       "\n",
       "                                                   \n",
       "           8        9        10       11       12  \n",
       "2011  102.893   64.575   62.624   77.548   90.298  \n",
       "2012  105.745   67.775   60.425   79.305   92.365  \n",
       "2013  112.790   69.996   67.254   83.521  107.738  \n",
       "2014  116.790   71.728   67.279   85.296  104.898  \n",
       "2015  129.884   79.581   76.395  100.505  122.606  \n",
       "2016  138.666   84.513   83.165  102.438  124.247  \n",
       "2017  142.777   97.889   90.238  117.062  134.992  \n",
       "2018  155.950  100.333   93.870  120.440  140.736  \n",
       "2019  156.401  101.211  102.038  122.130  153.319  \n",
       "\n",
       "[9 rows x 24 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sjodatoscuadro = sjodatos.unstack()\n",
    "sjodatoscuadro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>39.797</td>\n",
       "      <td>24.621</td>\n",
       "      <td>26.900</td>\n",
       "      <td>35.224</td>\n",
       "      <td>30.666</td>\n",
       "      <td>30.401</td>\n",
       "      <td>37.952</td>\n",
       "      <td>28.605</td>\n",
       "      <td>34.890</td>\n",
       "      <td>33.800</td>\n",
       "      <td>33.581</td>\n",
       "      <td>44.776</td>\n",
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       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>43.013</td>\n",
       "      <td>26.159</td>\n",
       "      <td>32.688</td>\n",
       "      <td>33.113</td>\n",
       "      <td>32.652</td>\n",
       "      <td>33.565</td>\n",
       "      <td>40.250</td>\n",
       "      <td>31.762</td>\n",
       "      <td>39.582</td>\n",
       "      <td>37.254</td>\n",
       "      <td>36.664</td>\n",
       "      <td>50.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>43.173</td>\n",
       "      <td>27.828</td>\n",
       "      <td>35.259</td>\n",
       "      <td>31.420</td>\n",
       "      <td>32.242</td>\n",
       "      <td>35.732</td>\n",
       "      <td>40.899</td>\n",
       "      <td>32.744</td>\n",
       "      <td>40.120</td>\n",
       "      <td>36.303</td>\n",
       "      <td>37.553</td>\n",
       "      <td>55.599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>49.453</td>\n",
       "      <td>29.900</td>\n",
       "      <td>31.389</td>\n",
       "      <td>41.355</td>\n",
       "      <td>35.077</td>\n",
       "      <td>41.290</td>\n",
       "      <td>40.989</td>\n",
       "      <td>33.387</td>\n",
       "      <td>42.932</td>\n",
       "      <td>39.352</td>\n",
       "      <td>39.118</td>\n",
       "      <td>60.798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>52.436</td>\n",
       "      <td>32.709</td>\n",
       "      <td>45.565</td>\n",
       "      <td>42.523</td>\n",
       "      <td>45.060</td>\n",
       "      <td>41.610</td>\n",
       "      <td>55.015</td>\n",
       "      <td>40.342</td>\n",
       "      <td>51.761</td>\n",
       "      <td>49.628</td>\n",
       "      <td>52.292</td>\n",
       "      <td>78.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>65.559</td>\n",
       "      <td>39.922</td>\n",
       "      <td>54.733</td>\n",
       "      <td>50.743</td>\n",
       "      <td>50.182</td>\n",
       "      <td>49.813</td>\n",
       "      <td>71.237</td>\n",
       "      <td>47.848</td>\n",
       "      <td>61.263</td>\n",
       "      <td>59.788</td>\n",
       "      <td>57.809</td>\n",
       "      <td>94.613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>83.350</td>\n",
       "      <td>45.407</td>\n",
       "      <td>59.057</td>\n",
       "      <td>75.897</td>\n",
       "      <td>56.384</td>\n",
       "      <td>57.548</td>\n",
       "      <td>72.454</td>\n",
       "      <td>55.641</td>\n",
       "      <td>66.218</td>\n",
       "      <td>67.918</td>\n",
       "      <td>60.708</td>\n",
       "      <td>94.701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>80.747</td>\n",
       "      <td>46.119</td>\n",
       "      <td>61.855</td>\n",
       "      <td>58.915</td>\n",
       "      <td>57.026</td>\n",
       "      <td>59.374</td>\n",
       "      <td>66.564</td>\n",
       "      <td>53.858</td>\n",
       "      <td>66.628</td>\n",
       "      <td>69.615</td>\n",
       "      <td>64.815</td>\n",
       "      <td>94.955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>83.142</td>\n",
       "      <td>50.683</td>\n",
       "      <td>50.288</td>\n",
       "      <td>74.966</td>\n",
       "      <td>62.038</td>\n",
       "      <td>61.487</td>\n",
       "      <td>67.462</td>\n",
       "      <td>57.089</td>\n",
       "      <td>72.172</td>\n",
       "      <td>69.836</td>\n",
       "      <td>69.338</td>\n",
       "      <td>98.254</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          1       2       3       4       5       6       7       8       9   \\\n",
       "2011  39.797  24.621  26.900  35.224  30.666  30.401  37.952  28.605  34.890   \n",
       "2012  43.013  26.159  32.688  33.113  32.652  33.565  40.250  31.762  39.582   \n",
       "2013  43.173  27.828  35.259  31.420  32.242  35.732  40.899  32.744  40.120   \n",
       "2014  49.453  29.900  31.389  41.355  35.077  41.290  40.989  33.387  42.932   \n",
       "2015  52.436  32.709  45.565  42.523  45.060  41.610  55.015  40.342  51.761   \n",
       "2016  65.559  39.922  54.733  50.743  50.182  49.813  71.237  47.848  61.263   \n",
       "2017  83.350  45.407  59.057  75.897  56.384  57.548  72.454  55.641  66.218   \n",
       "2018  80.747  46.119  61.855  58.915  57.026  59.374  66.564  53.858  66.628   \n",
       "2019  83.142  50.683  50.288  74.966  62.038  61.487  67.462  57.089  72.172   \n",
       "\n",
       "          10      11      12  \n",
       "2011  33.800  33.581  44.776  \n",
       "2012  37.254  36.664  50.781  \n",
       "2013  36.303  37.553  55.599  \n",
       "2014  39.352  39.118  60.798  \n",
       "2015  49.628  52.292  78.466  \n",
       "2016  59.788  57.809  94.613  \n",
       "2017  67.918  60.708  94.701  \n",
       "2018  69.615  64.815  94.955  \n",
       "2019  69.836  69.338  98.254  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sjodatoscuadro['nacionales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "promediomensual = sjodatoscuadro.mean().unstack().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>nacionales</th>\n",
       "      <th>extranjeros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60.074444</td>\n",
       "      <td>142.041333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35.927556</td>\n",
       "      <td>131.679778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44.192667</td>\n",
       "      <td>157.704000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49.350667</td>\n",
       "      <td>127.927556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>44.591889</td>\n",
       "      <td>102.560333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>45.646667</td>\n",
       "      <td>109.400333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>54.758000</td>\n",
       "      <td>125.374889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>42.364000</td>\n",
       "      <td>129.099556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>52.840667</td>\n",
       "      <td>81.955667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>51.499333</td>\n",
       "      <td>78.143111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50.208667</td>\n",
       "      <td>98.693889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>74.771444</td>\n",
       "      <td>119.022111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    nacionales  extranjeros\n",
       "1    60.074444   142.041333\n",
       "2    35.927556   131.679778\n",
       "3    44.192667   157.704000\n",
       "4    49.350667   127.927556\n",
       "5    44.591889   102.560333\n",
       "6    45.646667   109.400333\n",
       "7    54.758000   125.374889\n",
       "8    42.364000   129.099556\n",
       "9    52.840667    81.955667\n",
       "10   51.499333    78.143111\n",
       "11   50.208667    98.693889\n",
       "12   74.771444   119.022111"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "promediomensual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 720x288 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn')\n",
    "fig, axs= plt.subplots(2,12, figsize=[10,4], sharex=True, sharey='row')\n",
    "\n",
    "sjodatoscuadro['nacionales'].plot(subplots=True, ax=axs[0],legend=False);\n",
    "for ax, (mes, mean) in zip(axs[0], promediomensual['nacionales'].iteritems()):\n",
    "    ax.set_title(mesescorto[mes-1])\n",
    "    color = ax.lines[0].get_color()\n",
    "    ax.axhline(mean, color=color, ls=':')\n",
    "    ax.grid(False)\n",
    "    \n",
    "\n",
    "sjodatoscuadro['extranjeros'].plot(subplots=True, ax=axs[1],legend=False);\n",
    "for ax, (mes, mean) in zip(axs[1], promediomensual['extranjeros'].iteritems()):\n",
    "    color = ax.lines[0].get_color()\n",
    "    ax.axhline(mean, color=color, ls=':')\n",
    "    ax.grid(False)    \n",
    "    ax.set_xlabel('')\n",
    "    \n",
    "axs[0,0].set_xticks([2010,2014,2018])\n",
    "axs[0,0].set_xticklabels(['10','14','18'])\n",
    "\n",
    "\n",
    "axs[0,0].set_ylabel('nacionales', size=14)\n",
    "axs[1,0].set_ylabel('extranjeros', size=14)\n",
    "\n",
    "fig.suptitle('Miles de pasajeros del aeropuerto Juan Santamaría, por mes y residencia', size=16)\n",
    "fig.savefig(figpath+'SJO-pasajeros-por-mes.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Cada año como serie individual, meses en el eje horizontal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x252 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs= plt.subplots(1,2, figsize=[10,3.5], sharex=True)\n",
    "\n",
    "sjodatoscuadro['nacionales'].T.plot(ax=axs[0], cmap = 'Blues', marker='o', legend=False);\n",
    "sjodatoscuadro['extranjeros'].T.plot(ax=axs[1], cmap = 'Blues', marker='o', legend=False);\n",
    "\n",
    "\n",
    "for ax,tlt in zip(axs, ['Nacionales', 'Extranjeros']):\n",
    "    ax.set(xlabel='', \n",
    "           xticks=[3,6,9,12], \n",
    "           xticklabels = mesescorto[2::3], \n",
    "           xlim=[0.5,13.25],\n",
    "           ylabel='miles de pasajeros')\n",
    "    ax.grid(False, axis='y')\n",
    "    ax.set_title(tlt, size=14)\n",
    "    colores = [aa.get_color() for aa in ax.lines]\n",
    "    for (a,v), cc in zip(sjodatoscuadro[tlt.lower()].T.loc[12].iteritems(), colores):\n",
    "        ax.annotate(str(a), [12, v], color=cc)\n",
    "        \n",
    "fig.savefig(figpath+'SJO-pasajeros-por-mes2.pdf', bbox_inches='tight')        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Estudiando la autocorrelación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def correlogramas4(serie, residencia, func):\n",
    "    fig, axs= plt.subplots(2,2, figsize=[15,4], sharex=True, sharey=True)\n",
    "    opts = dict(lags=24)\n",
    "    if func is plot_pacf:\n",
    "        opts['method'] = 'ols'\n",
    "    \n",
    "    func(serie, **opts,ax=axs[0,0], title='$y_t$');\n",
    "    func(serie.diff(1).dropna(), **opts, ax=axs[0,1],title='$\\Delta y_t$');\n",
    "    func(serie.diff(12).dropna(), **opts, ax=axs[1,0],title='$\\Delta_{12}y_t$');\n",
    "    func(serie.diff(1).diff(12).dropna(), **opts, ax=axs[1,1],title='$\\Delta\\Delta_{12}y_t$');\n",
    "    \n",
    "    for ax in axs.flat:\n",
    "        ax.set(xlim=[-0.5,24.5], xticks=np.arange(0,25,6))\n",
    "    \n",
    "    pp = 'parcial' if (func is plot_pacf) else ''\n",
    "    fig.suptitle(f'Correlogramas {pp} de cantidad de pasajeros {residencia} en SJO', size=18)\n",
    "    return fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Tp0+L1q1bi9mzZzts99prr4n4+Hhx+vRpcfHiRREfHy9ef/11IYQQZ86cEa1btxZTp051SP/Ro0dF69atxbRp04QQQt2vV69eDn+/StrS09PV/eLj48X69esd0rB//34RHx8vVq9e7XA8JR0XLlwQbdq0EYsWLXLY75dffhHt2rUTL7/8ssP5fvrpJ3WboqIiMXTo0DL72svNzXX63XjlyhXRtWtXMWXKFHVZfHy86NSpk7hy5YpDfsTHx4vXXnut3HMoNm7cKBITE0V8fLz6r2vXruK5554Tly9frnBfJV+Uz6JSxirvQ0UWLFjg8PdAREKwqSSRHeUpd2VDHNv7+eef8eeff2LMmDHqU2IAqFu3LsaOHYvLly/j2LFj6vJmzZqhWbNmZY5TevnPP/+Mixcvom/fvsjJyUF2djays7NRWFiI3r1748SJE2WaaFUnPSdPnsSFCxeQkpKCOnXqqNv17dvX6Sh2derUQdeuXR2Wbd26FStXrnR4yv/XX3+hbt26yM/Pd9g2NDQUPXr0UF8rT4PtayN1Oh0aN26MzMxMAEBwcDC++eYbtdZDcfXqVURGRqrniIqKQnh4ONatW4edO3eqy+fPn4933323zLVU5K+//sLx48cxcOBAh/zr1q2bw8h1V69exXfffYdevXqhsLBQfX+uXbuGfv36ISsrC//73/+cnkOWZezbtw+9evXCjTfeqC6vV68e1q1bh9mzZwOoXv6GhYXhrrvuUl+HhoaiefPmyMrKqtb179+/H+3bt3fo03LdddeVaTr8wgsvYM+ePQ41kCaTSX2KrqSvqsdzJy3/+c9/EB8fj7i4OPV9yM7ORt++fQHYapYr8/DDDzvk8/jx4yGEUPet6vVef/31+PXXX7Fs2TK1aV6vXr2wfft2dOnSRT3XN9984/B3VlhYqH7/lH5v7a8zNjYW7dq1c7jOXr16wWAw4Msvv3TY/s4773R4vWfPHkRGRmLMmDEOy8eNG4fIyEi16d/111+PvLw8zJ07F2fPngUAtell//79K8lJ4O6774bBYFBft23bFgDUv+sBAwbg22+/dUiffVNP5fq//PJLCCHKTHUyceJEbN261en36J49eyCEKPN+duzYEf/3f/+HL7/8ElarVV3eq1cvhIeHq6+Vfs1KWjt27Ijvv/8e999/v7qNJElqE+S8vDynefDFF19AlmUkJSU5vFf169dH27Zt1ffq+uuvBwAsXrwYhw8fhiRJCAkJwccff4yZM2c6PTYAfP311zCZTOjbt6/D8Q0GA7p164YDBw44XGeXLl0caq1KvycVGT58OPbt24f58+fjnnvuQUxMDHJycpCeno5Bgwapn5GqEMVNl+0/H+UJCgpy2IeI2FSSyEF0dDSCg4Md5rmqjHJzZt8sRaEMZfz7778jMTERgO3G05nSyy9cuAAAeOWVV/DKK6843eePP/5QC/7qpkcpFO0DB0Xz5s1x4sQJh2UxMTFlmm8FBwfj+++/x6effopff/0VFy5cwF9//QUAaNy4cZn9lXMCJQV36es2GAwOBXVwcDC+/PJL7N69G7/99hvOnz+PnJwcACUFekhICF588UU899xzeOKJJxASEoLbbrsNd999N4YMGVJhk5zSLl26BABObwpbtGih9i+8ePEiACAtLU1tJlfaH3/84XS50WhEfn6+07y3b7ZU3fwt/f6EhIRUe87BS5cuOQTTitLDcut0Oly9ehVvvfUWfvnlF1y4cAG///67+p4o563q8dxJy4ULF1BYWOh0oAOg/PfBXumHFcp7o3weqnq9U6dOxdGjR7F06VIsXboUN998M5KSkjBixAiHz5TFYsGSJUtw/PhxXLhwARkZGeoDo/LeswsXLiA7O7vK11n6bysjIwNNmzYt0ww8JCQETZs2Va917NixOHDgANauXYu1a9eiSZMm6N27N4YPH16lEUhLTy2hNKezvy6dToeVK1fixx9/xIULF3DhwgVYLBaH7ZT0lG6aXrduXdStW9fpuSv6/mvZsiUOHDiAq1evViutQUFB2LBhA7777jucP39e/bwB5QcVyvd3SkqK0/XKe9C5c2ekpqZi7dq1+PbbbxETE4M777wTgwYNcngQU97xZ8yYUe422dnZaNCgQZWvsyJRUVG4//77cf/990OWZRw5cgQrVqzAgQMHMH/+fLz99ttVOk5sbCyCg4PV77GKKH0BlWsgIgZuRA50Oh0SExNx7NgxWK1Wh0DD3pIlS3Dx4kU8/fTTFT4NVNbZ3yiV96Sx9HKlQJ02bRo6derkdB9nN79VTY9yk+Ssj4KzQMdZuhcvXoyVK1filltuQadOnTB48GAkJibipZdeKnMTWV5eVjT/jxACTz75JD799FN06dIFiYmJSE5ORteuXdURzRSDBg1Cjx49sGvXLuzbtw/ffPMNDhw4gHXr1mHjxo1V7ouhpMfZoCb2NznKTfaYMWPUmp3Sbr75ZqfLlX2d9WOyV538rexYVaXT6Zxee+nP1ZdffokpU6agQYMG6NatmzrIxoEDB/DWW29V+3jupEWSJHTp0sWhz5+9qtz4lQ5mlPda+dxX9Xqvv/56bNmyBYcOHcLu3bvx1VdfqQNDrF69GrfddhuOHTuG1NRU1KlTB3fccQeGDRuGW265BRcuXChTu1z6Om+66aZy++yVDmZKfyYqynNZltU8iIyMxNq1a3H06FHs2rUL+/fvR1paGj744AO88sorFfa7cnbe0i5duoTk5GTk5+fjzjvvxIABA9C2bVsIITB16lSH662uyq4RsL3XyueqsrReu3YNKSkpuHjxIv7v//4PSUlJaNOmDRo3bowRI0ZUeq4VK1Y4tGhwZvbs2Rg3bhx27tyJ/fv3Y+fOnfj000+RnJxc7udBOf5LL73k0GfPXnR0tPq7K98Ply9fRlpaGnr27InbbrvN4Vi33norVq5ciSFDhuDIkSPqOqPRiMjIyDLf98rfkVLG/u9//0NRUVG5D9WEEPjhhx/QtGlTBm5Edhi4EZXSr18/fPfdd9ixYwf+9re/lVlfWFiITZs2QZIkxMTEqDUfv/76a5ltldG9SteKVYVy3PDwcNxxxx0O63766Sfk5OQ4vSGobnrOnTtXpknVuXPnKk3fpUuXsHLlSgwePLhMjWB1m+eV5/Dhw/j0008xZcoUh5HLrFYrjEajOihAXl4eTpw4gVatWmH48OEYPnw4zGYzXn31Vbz//vs4cOCAwyiZFWncuDF0Op3TPLAflU7JZ4PBUOb9OXPmDDIyMsqdf6hevXqoU6cOzp8/X2bdO++8g6ysLIwdO7bW89eZJk2aOL12pYZR8dJLL+HGG2/ERx995NDUrPQocFU9njtpady4MfLy8sq8Dzk5Ofj222+d1mw6O6Z9oK2cV9m3qterjLbavXt3tWbshx9+wAMPPIC0tDTcdttteOWVVxASEoLt27c71IS8+eabFaaxSZMmOHbsGLp16+ZwI64MWlPZ90zjxo1x9OhRWCwWh0DVbDYjIyNDHezot99+Q25uLjp16oROnTrhH//4B86cOaMOilRZ4FaZZcuW4a+//sJnn33mUJtWOi8bNWoEwPbe2NeIXr58GfPnz8fYsWPLXLMSxPz666/o2LGjw7rffvsN4eHhiI6OhslkqlJa33//fZw9exbvvvuuQ02nfbDijPL9cMMNN6jNEhX2g69kZWXh9OnT6N69OyZNmoRJkybh6tWrmDp1Kj788EM8+eSTiIqKKvf4sbGxZT73hw4dgizL1R44pDRZlrFq1Sr89ddfDoGbwmAwoHnz5mrtWVpaGubOnYsdO3ao75dSM2n/UGHw4MH47rvvkJ6eXu5cqLt378bFixcxZcoUt66ByN+wjxtRKcnJyWjcuDEWLlyIU6dOOayTJAkvvPACsrKyMGnSJAQHB6Ndu3aIi4vD+vXrHW4GTCYT1q1bh7i4OCQkJFQ7HQkJCYiLi0NaWppDPwqTyYTp06fj6aefdloLVtX0JCQk4IYbbsCmTZsc+pccPXoUP//8c6XpU5orlq5V2rdvH86dO+fQv8JVRqPR6Tk+/PBDFBQUqOc4ffo0xowZ4zCEdkhICG655RYAVetPoYiNjUXXrl2xdetWhwDpxx9/xPHjx9XXDRo0QEJCAj755BNcvnxZXW6xWPDMM8/giSeeKDcPgoKC8H//93/Yt2+fQ81ZTk4O3nnnHVy4cKFW8le52a+oedTdd9+N06dPY//+/eqy3NxcbNmyxWE7o9GIRo0aOQQxf/zxB/7zn/8AKKktqerx3ElLUlISTp48WaaP14oVKzBt2rQyQ/E7U7q565o1axAUFKQG/FW93mnTpuGf//ynQ23RLbfcguDgYDX/jUYjYmNjHYK23NxcfPLJJw7HKi0pKQlGoxHr1693WL5hwwbMmDED3377bYXXmJSUBJPJhA8++MBh+bp165CXl6c2zZs7dy6mTJni8L3TokUL1K1bt0Zqdo1GI8LCwtTADLAFj8rcmMr1K5M6l77ejz/+GJ999plDH1RF7969AQCrVq1yqH07fvw4vvnmG/Tq1avCWn5naQUc/w6FEFi7di0AlPt3qKTjrbfeckjHiRMn8Oijj+K9995Tr+XBBx906A9br1493HjjjdDpdOXm9x133IHQ0FC8/fbbausJwBbUTpkyBYsWLarWdTpzww034NZbb8W2bducfrYyMjLw9ddfq82ZlWDSvvxQfrdvAn7//fcjMTERixcvxoEDB8oc98SJE3juuefQpEkTPPTQQ25dA5G/YY0bUSmhoaFYtmwZJkyYgOHDh2PQoEFo3769OpfNiRMn0L9/f4wfPx6ArdnNc889h+nTp2PYsGEYPnw4AGDTpk24cuUKXn/9dZduduyPe//992P48OEIDQ3Fxo0b8fvvv2PRokVOmx9WJz2zZs3C9OnTkZKSgsGDByM7Oxvvv/9+lZ7U3nzzzWjUqBHefPNNFBUV4frrr8dPP/2ETz75BKGhoeV22q+OxMREREZGYv78+fj9999Rt25dHDp0CDt27HA4R8eOHXHrrbdiyZIl+OOPP9C6dWv88ccfWLt2LVq0aFFun6DyPPXUUxgzZgxGjhyJMWPGoKCgAO+++y7q1avnsN3s2bPxwAMPYNiwYRg1ahRiYmKwfft2/Pe//8XMmTPLbG9v5syZGDFiBEaMGKEOJPPhhx8iPz8f06dPx4033ljj+asECuvXr0dWVpbTmpPx48dj69atePzxx/HAAw8gNjYW6enpZZqg9ezZEzt27MCcOXPQvn17ZGRkqAE1UDJoQ1WP50xV9508eTL+85//4LHHHkNKSgpatWqFH374AVu2bEHPnj3Rs2fPSs/1ySefwGQyoXPnzvjqq6/UqTKUm9GqXu/EiRMxe/ZsPPjgg+jfvz+EENiyZQuKioowevRo9VirVq3CtGnTcOeddyIzMxObNm1SHxSU996OGDECn3zyCV566SUcP34cHTp0wKlTp5Ceno527do5DKBR0f4LFizAqVOnkJCQgGPHjuHjjz9Gx44d1aZ/48ePx6RJkzBmzBi1j+iuXbtw4cIFLFy4sNK8rEzPnj2xZ88eTJ48Gf3790dubi42b96s9ttSrr9t27YYMWIE0tLScOXKFXTv3h1nzpzBhg0bMGTIELRp08ahFhwAWrVqhdTUVKSlpWH8+PHo27cvMjMzkZaWhrp161Y44Ed5aU1LS8PkyZMxfPhwWCwWfPbZZzh27Bj0en2571V8fLyaDqPRiL59+8JoNGLt2rWIiIhQWxAMGTIEa9aswSOPPIJRo0ahYcOGOHbsGDZv3oyhQ4eWmZZFERsbi7///e+YP38+kpOT8be//Q1WqxXr1q1DUVERnnrqqWpdZ3nmzZuH0aNHY8KECejXrx+6du2KOnXq4PTp0/jkk08QGxur9rO788470bRpU8ydOxeXL1+GLMt45513EBcXh379+qnH1Ov1WLZsGR599FE89NBDuPvuu3H77bfDYDDgv//9L7Zt24YbbrgBy5cvL/f6iQIVAzciJ2655RZs2bIF7777Lvbv348dO3ZACIHWrVtj3rx5uP/++x2eZt5zzz1YvXo1li9fjjfeeANBQUHo2LEjXn755XLnWqsK5bgrVqzA8uXLodfr0apVK6xYsUJ9olvRfpWlp3///liyZAlWrFiBV199FQ0bNsTTTz+NzZs3VzpAS0hICFauXIkFCxbg/fffhxACzZo1wzPPPAOr1YqXX34Zx44dc6m2UVG/fn2sXLkSixYtwvLlyxESEoLmzZvjtddew08//YT3338fWVlZqF+/Pt544w0sW7YMe/fuRXp6OqKjo3H33Xdj2rRp1W4ylJCQgLS0NCxevBjLli1D3bp18dhjj+HYsWMOTaQSExOxfv16LF26FGvWrIHVakXz5s2xYMGCCieXBWwDJaSnp+O1117D22+/Db1ejw4dOmDhwoVo1aoVANR4/nbv3h333nsv9u7di4MHD+Luu+8us01kZCTWrVuHV199Fenp6ZAkCQMGDECrVq0wd+5cdbsXXngB4eHh2LNnD7Zs2YLrr78eQ4YMQb9+/TBq1CgcPHgQt9xyS5WP50xV942JiUF6ejpef/11fP7550hPT0ejRo0wZcoUPPzww1V6cLJs2TK88cYb+M9//oOmTZvipZdewsiRI6t9vSNGjEBwcDDef/99vPbaa5BlGQkJCVi1ahVuv/12AMDjjz8OSZKwY8cO7N27Fw0aNMAdd9yBCRMmYODAgTh48KDDja4iJCQE7777Lt544w3s3LkTW7duRYMGDTBq1ChMnTq13Ka5zvb/7LPPsHXrVlx//fWYPHkyHn30UbX55J133okVK1bgrbfewvLly1FUVIRWrVrhtddeq9JooJVJSUnBtWvXsHHjRsydOxf169dHp06dsGzZMqSkpODgwYN48MEHAQAvvvgibrrpJmzcuBF79uxBo0aNMHXq1AprYp599lk0b94cGzZswIIFCxAdHY1+/frhiSeeKDOoT2V69uyJuXPnYvXq1eqx2rVrh/T0dDz33HMOk6M7S0eLFi2wYcMGLFy4EFFRUbj11lsxbdo0tSlhgwYN8P777+P111/Hhg0bYDQa0bhxYzz22GOYNGlShWl78MEH0bBhQ6xZswZLlixBnTp10K5dO7z66qvqCKbuuvHGG/Hpp5/i7bffxv79+9XRKhs1aoSUlBQ8/PDDalPOkJAQrFmzBvPmzVNrArt27Yqnn366TO1o/fr18cEHH2Dz5s34+OOP8frrr8NqtaJZs2aYNm0aUlJSnDYRJQp0OsFxVokCkiRJyMnJKTPaGGAb6KNu3bplmlQR+ZulS5di2bJl2L17d7mDPGjlo48+wjPPPIO1a9eWmYqDyF+kpqbi5MmT+Prrr93ul0fk79jHjShASZKEnj17Ys6cOQ7LT506hdOnT6NDhw4apYyIAKh9VO371RH5k4yMDPzyyy9o2bKlOo8gEZWPgRuRh+Tl5aFt27bq3DSALUi68847qzzCWU0KCQlB//79sWnTJjz//PPYuHEj3njjDUyYMAH16tVT+/ARkWdlZ2dj6dKlWLdunTqROpE/2rx5M/r27YuhQ4di8+bN6nJvKy+JvAUDNyIPiYiIQIsWLRxG3Fq8eDEmT57sdHQ0T5g7dy6mTp2KgwcP4qWXXsK6devQrVs3bNy4kXPnEGnkzJkzWLNmDSwWCxYsWMAaN/JbW7ZswX333Yd77rkHhw4dUgfo8cbyksgbsI8bkQfNmjULTZs2xdSpU/H9999j1qxZ+OyzzxASEoKDBw+iSZMmXtfPhoiIqKYdPnwY06dPx759+2AwGPDII4+gW7du6sA0LC+JymKNG5EHtW/fXn2C+OqrrzqMePjRRx9VaYh0IiIiX7d582bce++96jybAwcOVOcyBFheEjnDwI3Ig5SCaOfOnSgsLMR9990HANi9ezf27t2LZ555xqGdPxERkb8pLCzEZ599ppaBANCnTx9cuHABJ0+eBMDyksgZzuNG5EFt2rRBZmYmFi5ciOeff16dX6p3795o27Yt0tLSNE4hERFR7dq1axeio6PRpk0bFBUVAQAMBgN69uyJzZs3Y9asWSwviZxg4EbkQSEhIYiPj0dERAR69eqlLj9//jxHjiMiooDwySef4NKlS06nnalfvz7+8Y9/sLwkcoKBG5EHmc1mZGdnl5k77ezZs2jRooVGqSIiIvKcd955p9JtWF4SlcU+bkQe9MYbb6Bz587o1KmTw/KbbroJmzZtwssvv6xNwoiIiLwIy0uisjgdAJEHHD9+HOPGjUPr1q2xbNkyxMbGap0kIiIir8Pykqh8DNyIiIiIiIi8HJtKEhEREREReTmvGZwkMzO3wvX16oXj6tV8D6UmsDGvPYd57VnMb8+pLK/j4qI8mBrfV1EZyc+1ZzG/PYd57TnMa89xp3z0mRq3oCCD1kkIGMxrz2Feexbz23OY157DvPYs5rfnMK89h3ntOe7ktVuB23//+1+kpqaWWb5nzx4MGzYMycnJ+PDDD905BRERERERUcBzuankqlWrsHXrVoSFhTkst1gsmD9/PjZt2oSwsDCMGjUKvXv3RlxcnEvnuWIswOrtJ3D2Ug5aNo7GhIFt0SAmrPIdiYiI/BjLRyKiwOJyjVuzZs2wdOnSMsvPnj2LZs2aITo6GiEhIejSpQsOHz7scgJXbz+BUxeNkGSBUxeNWL39hMvHIiIi8hcsH4mIAovLNW733HMPMjIyyiw3mUyIiirpVBcREQGTyVTp8erVC3fa5vPspZwyr9mpvfYxjz2Hee1ZzG/PYV7XHGdlJMtH7TCfPYd57TnMa89xNa9rfFTJyMhI5OXlqa/z8vIcArnylDe6SsvG0Th10ejwurIRKMk9cXFRzGMPYV57FvPbcyrLa94gVI+zMpLlozb4PeI5zGvPYV57jjvlY42PKtmyZUucP38eRqMRZrMZhw8fRmJiosvHmzCwLYIMOgBAfNMYTBjYtqaSSkRE5LNYPhIRBZYaq3Hbtm0b8vPzkZycjFmzZmHixIkQQmDYsGFo2LChy8dtEBOG6IhQGAw6zBrTuaaSS0RE5NNYPhIRBRa3ArcmTZqow/0PGjRIXZ6UlISkpCT3UkZEREREREQAfGgCbiIiIiIiokDFwI2IiIiIiMjLMXAjIiIiIiLycgzciIiIiIiIvBwDNyIiIiIiIi9X4xNwExERERG56oqxAKu3n8DZSzlo2TgaEwa2RYOYMK2TRaQ51rgRaeCKsQALPjiCIU9uxYIPjuCKsUDrJBEREXmF1dtP4NRFIyRZ4NRFI1ZvP6F1koi8AgM3Ig2wUCIiInLu7KWcCl8TBSoGbkQaYKFERETkXMvG0RW+JgpUfh24Kc3RJr2yl83RyKuwUCIiInJuwsC2CDLoAADxTWMwYWBbjVNE5B38OnDTqjkaA0aqDAslIiIi5xrEhCE6IhQN6oVh1pjOHJiE/EJNjG/g14GbVs3RfLX/EgfM8BwWSkRERESBoybiA7+eDqBl42icumh0eO0Jvtp/SflAAVA/ULPGdNY2UURUhhACACAX/xTC9k9ZJgQgUPxT2ab4f6LkIBAo2c/+uEKoe6j7CLt91GV2O5fepkACrhrzSh3TRqcDrrsuEnq9zs2cICIi8g01ER/4deA2YWBbzF51EFZJeLQ5mlYBo7t8NeAkqikCArIs1EDI9rokCJJtC9WgRQlGSn63rZRtC9UgR7YLntTgplTwo7xW4yUByEIuOYYsSs5fnDZlO2+kMwThmsnsfB3jNSIiCjA1ER/4deCmNEcD4NGaI60CRnf5asBJ/sG+Fsm+Bsm+5kgWJUGSffCkBk5ClARNxQGTEiwJIZAvCVzNzocMASHbAiMlUFMDI3hvMERERES+qSbiA78O3NxxxViA1dtP4OylHLRsHI0JA9tWuR+SuwGjO+d2h68GnFrlV6CxBTV2tVHFgZEsRHHQg+IgSEAUB0FyqW2U/STZVpMkZLsAS679WiSdIQi5+c5rgYiIiIhqixIfGAw6lyuUGLiVQ8v+Xu6cuyYCTnc+UFpg37wSalM/GZCEUGupJFlZLkoCqdI1WHY1Xcp6wdooIiIiIq/AwK0cWvb3cufcgRjEaPVeebKmzyrJsEoCFkmG1SrBIsmwWG3BmCTLxT9LarWIiIiIyL8wcCuHlv293Dm3LwYx7gZAWr1XNRkklxeYWSUZZosESWI0RkRERBTIXJrHTZZlzJkzB8nJyUhNTcX58+cd1q9ZswYDBw5EamoqUlNT8euvv9ZIYj1JywmS3Tl36aDF00GMK3NTuDuvhVbvlbMgWQhbDZjFKqPQLCGv0ILcfDNyTEXIvlaIzJwC/Hk1H5ey8tTtTmcYcSYjB+f+uIZLV0y4nF2A7Jwi5OaZUVBodRq0GU1FWLfrNBZt+BHrdp2G0VTkkWsmqozy2Zz91jf8bBIREdUgl2rcdu3aBbPZjPT0dBw9ehQLFizAihUr1PXHjx/HwoULkZCQUGMJ9TStRqR099xaDTDiTk2fu7WENfFeKX3DlKHf7QfbUAfWKP5dkm0jFzZtEIlzf+aqx2hcPwKnL+aofcEqIwtAr4NLtWk7Dl5ARqYJAJCRacKOgxcwum+rah+nuoymIuw4eAG/Z5nQqH4kBnRrhpjI0Fo/L/kOrT6bRERE/s6lwO2HH35Ajx49AACdOnXCsWPHHNYfP34cK1euRGZmJu666y5MnjzZ/ZRSlWgVcLrTXLE2mjqK4gBL/SfJjj9lAasskGUswOavfsOlzOoHInd3bYp3tp+AJAs0iYtE/9ubVTloc9fvWaYKX9cW3pRTZbT6bBIREfk7lwI3k8mEyMhI9bXBYIDVakVQkO1wAwcOxOjRoxEZGYnHHnsMe/fuRe/evSs8Zr164QgKMjhdZyhuBhcXF1XttPrivlqe29V9n0y9FVNe2QOLVUa7Ftdhekoi4q6LcHtfhwBMsg3CYZVlSFJxzZckQ5KVOYsFrhZaIVlt652HUHpAD+j0QDCAbd+cxMUrJYHIfw5n4OEh7auU7piYcERFhAAApgzvWKV9HFKi16nHqa5m19fFuT+uObx25TjV9ftfeWVee+K87sq+VohNe07jwuVcNGsYheFJrRBbt47WyfJLVflscgLu6iuvjHS3rCHXML9rHz/bnse8rn3ufq5dCtwiIyORl1dyAyfLshq0CSHwwAMPICrKlqBevXrh559/rjRwu3o1v9x1kiRgMOiQmZlb7jYV7QvAp/bV8tyu5rUBQN1wWxAzc2RHQJbLHMM+CJOFcAi+IsOCIYTAqD4348/Lucj4IwdWq6w2VaysIssqyQCAy5erl+4Lf14r89poLP+zWJos2xJWnX3s99XrdS7te/etTRxq++6+tYlLx6muRtdFqDVuymtPnNddG3adVtN97o9r2PCfX1hTWEuq8tm0BW7XaZI+X1VeGelO+UjVwzlDPYufbc+Ki4tiXntAVT7XFQV1LgVunTt3xt69ezFgwAAcPXoU8fHx6jqTyYT77rsPO3bsQHh4OA4dOoRhw4a5chryAUIIWCVbLZjSTPDK1fySvmCyMmKiXOFQ9VJxAHTN5NnJkRvVj3QMROpHVrC194iJDEVEWDAAVDsAcaef2oBuzRxuygd0a1bttGuBzfc8R/ls6vU6BsfkVwJxuh2iQCCKb07t56sVwjbmgTLPrTrvrbre8Z5W2L0o+VUoTcLUVmCyEIAM/JVTACebQQiBkLAQRJdzX+ZS4NavXz98/fXXSElJgRAC8+bNw7Zt25Cfn4/k5GTMmDED48aNQ0hICLp3745evXq5chryAkotmVWyjYBotcq2oeolGWarDKtFVoMu5Wf2Nd8ZRc5XAxF3uNNPTauA0V2+GqATkffQcn5XotriSk2yMoibEuDYWkaVBDVASZCjBiVO1hcvhg4lXV5Knaiilw7BjnAIrIRdupRtlLTKDoGXLARE8cB0yna1SZJtZ8o0Fpa7TWyspWYDN71ejxdffNFhWcuWLdXfhwwZgiFDhrhyaPIgZbREJTCzSrZmiZCAS1l5sFglWOwCM3/kTiDiq3xxYBN3gz5fDNA5gieRd9FyflfyD7IQ0MEuoCgOapTXSg1PeUSplWU2tau5KR0o2e8vlIgKwMqtx/Hr77ZuI6cuGvHWlmOY9Ld26kjasgCEDEhChiyJKndhodrBCbj9lkChWVIH8rBKMiRJhlW29S2zWCVYraLMKIiSLCD0QG6eZ5sskudoVfvkTsDo7miWvth8jyN4kr/y1b5iWk23Q66xNW+zC5CKq3Xsg6PSwZJDLZF987jiCEgGHGp3Sr9Wm9jZ1ezYBzqOgZN3sB9MCgDO/5kLow+1nAo0DNx8jP0AHxarLRizFPchs0q2ZZbigTpK/zESAdrVPrkTMAZiHzUtr5m1fVSbfLWvmDLdjsGg84n0Ar4bJFeXLATMFhlFZisKLBIKzVYUFUleFSB5K3Yl8C0M3LyQVZLVJ0B/5RTAIgtIVgGzJDn0KSNyhVbNQ90JGLUsWNwJYtzZV8trZm0f1Sb2FfMcXw2SK6IMilZgtqLIIqGwSEJhkZX3Ri7yxa4EgYyBm4aEEDBbZRSaJVisEoqKnxaZLbbaM6DizotEvsSdgFHLgsWdIMadfbW85kCs4STPYV8xz/GHINkqySi0SCgqsqLQIqOgyAqrVdY6WU75YmsFX+xKAPhmXtcEBm4eoDwdKrJIMFskFCn/zKzGJ6oKLQeRcSeIcWdfLa+ZTWeoNrGvmOfUZpBsP7KgbbCzkkHPlJ/KABcOQ6gD6sh/ymAaav8w24EhBIqnGdLhTIbvBJtsreA5gZrXDNxqkBDCNky+RVaHRr14xcQqfCIf5k4Qo1UAFIijcJLvUPqKAfD5ZnvezjFIjsaD97aG1SpDhl2gJZQAC8WBmHAMwNTlgCTL6mjUsly7A20IZUARH8LWCp4TqHnNwK2alMFBzFYZFosEiySjyCLDbJVgtqtBUwK1vAKLhqklIne5E8RoFQDV1CicQOBMk0FU0wRsozgrU+5IsoAsCaejEZZ+DaFTRyIsPe9U2fOUHSbefmV4Hdvf8tAeLWDMNcOYy1GjawtbK3hOoOY1A7dy2Kr2bfX22dcKYbZKsFgFCs1WSBJrz4gChTtBjFYBUKA+iSSqLSWBkYAQOhRZJDUYk4p/KqM7S7KA1Wob7dmbukN4U1r8FVsreE6g5jUDN9g6vqr9z6wyLBYZhUVWdYCQK1cLNE4hEVHVBeqTSPIfSv8pWba1YJFFSfM8ubi5ntofStmnnMmJ7SckVl8X98tSFiu7Kk0HYdeMUOlzJSBgkQT0QsZvv3O6HSqLrRU8J1DzOqACN0mWYbHamjYWWaywWGw1aBYvHZ2IiMgVgfokkrxLSV8pu+BLaTJYHCldvppv12fKVk5bJVntU0VERCX8MnCTha3JQpFZUgcJ+e3Paw590IiI/FWgPomkmqMEXUKG40AW9iMGFg9cIUmyXY1Y8WiAkqiwqaDSD/zqtSIPXhURkW/zi8BNkmVcyzOjyCrDbLbNhaYUCsrPoiJJyyQSERFpIr/IWjz9jN1ogYA6VLsyaqDDv3IGwiAiIu34ReBmlQQuZ7MfGhERUWnX8s0wsmaLiMjn6bVOABEREREREVWMgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkRERERERF7OpcBNlmXMmTMHycnJSE1Nxfnz5x3W79mzB8OGDUNycjI+/PDDGkkoERERERFRoHIpcNu1axfMZjPS09Mxc+ZMLFiwQF1nsVgwf/58rF69GmlpaUhPT0dmZmaNJZiIiIiIiCjQ6ISo/hSb8+fPR4cOHTBw4EAAQI8ePfDVV18BAE6ePIlXX30V77zzDgBg3rx5SExMxL333lvhMR/8185y113NLQR0OtSLDHW6XkDAKjm/jNx8MwAgKjyk4ovyon21PLcv7qvluXnNvrGvluf2xX09ce60F/pDr9e5lLZAVF4ZWVn5CACSLEP2ssm03f18asUX0+2LaQaYbk/yxTQDvpnuqqR50RM9cEP9SKfrXJqA22QyITKy5IAGgwFWqxVBQUEwmUyIiopS10VERMBkMlV6TL1Bh/KK8PoxYRXuK4QOspCdrouuoDCrjFb7anluX9xXy3Pzmn1jXy3P7Yv7an1uKqu8MrKy8hEABPSAk2e0OSbbpNyuvl/u7O/OZ8Sd87p7zb6Ybq3S7O7+vpjX7uzn7rl9Ma/d3T/Q8hpwMXCLjIxEXl6e+lqWZQQFBTldl5eX5xDIlWfh5O4Vro+Li0JmZq7TdUUWCb/9fq0qSacqiIkJh9GYr3UyAgLz2rOY355TUV7rWNFWbRWVkRWVjwDw59V8GK8VlVn+5tbjAICH77vFpTS5u7+r3DlvTaTZ1e8RrdPtCq0/I4GU1+6e2xfzuib2d5Uv5jXgYh+3zp07Y//+/QCAo0ePIj4+Xl3XsmVLnD9/HkajEWazGYcPH0ZiYqJLiSMiIiIiIiIXa9z69euHr7/+GikpKRBCYN68edi2bRvy8/ORnJyMWbNmYeLEiRBCYNiwYWjYsGFNp5uIiIiIiChguBS46fV6vPjiiw7LWrZsqf6elJSEpKQk91JGREREFOCMpiLkFVggyQLrdp3GgG7NEMN+pH4nEN/nQLxmd3ECbiIiIvIJyo3etTwz1u06DaOpbN89f7Pj4AVIxcOCZmSasOPgBY1TRLUhEN/nQLxmdzFwIyIiIp8QiDd6v2eZKnxN/iEQ3+dAvGZ3MXAjIiIinxCIN3qNSs3nVPo1+YdAfJ8D8ZrdxcCNiIiIfEIg3ugN6NYMTeIiodcBTeIiMaBbM62TRLUgEN/nQLxmd7k0OAkRERGRpw3o1gw7Dl7A71kmNKofGDd6MZGhGN23ldbJoFrmzvvsq4N88LNdfX5R46bT6RAaauCkrkRERKWEBOkRVicIoSEGBAXpodfpfLa8VG70/pGSiNF9W1Xr5jQQBzahwKBV389A/JvS+pr9osYtJEiP5tfXhSxkmC0CRRYJZqsEs1lGodkKi1XWOolERESaiI2qg9ioOuprIQQEBIINtuiteaO6EEJAFoAsC8hCQBT/tL2G7ffi10IAQgBK7GfQ62z7CA0urhqc3dzyaX/t0aoWyFdrn9yhVd/PQPyb0vqa/SJwU+h1etQJAeqEGByWWyUZZqsMs1lCkVWC2SKjsMiqZjwREVGg0Ol00EEHJfQKDTZUvEM5ggy2Rjs3N4kuDvYASQhIsi3As/2US14LAUmyBXhWSYZVktVA0BO0HNgkEIMJrW5wtb6x1kKj+pHIyDQ5vPaEQBwsSOtr9qvArTxBBj2CDHqEh5ZcrhACVslWO1dkkWAu/llklrz+qSEREZG30Ol0MOh0gL76NxUCxbV6MmwBnl3gJ0syJFES9CnbWWUZsmTb1u5AEMU/leOW1jguEheveP7mFgjMYEKrG1ytb6y1oFXfT60CRi1pfc0BEbg5o9PpEBykQ3CQHpFhwepy++aWFquEIosMc3Fgx4COiIio5uigg0Gvg0EPBFe+eZXYmoLC1o/PLpCbMrQd1mw/ibO/X0OLRnXx4L1tUD86DAIlzT9LfrcdQ/3d7md0TBj0sgSpuFbRIsmwWiuuPQzEYEKrG1ytb6y1oNUgH4E4WJDW1xywgVt5ymtuKQsZFquA2SLBYpVhtkqwWAUKzVZIEiM6IiIib2BrCqq8UH7o0LBeBGaN7eL28eNiI6CXyvadl4UMSQIkWYZVErBKcnFwJ6NZwyic+zNX3bZJXCQMBp0aEALwu4fDWt3gunPeQGzS6g5fHRXSnfdZ62tm4FZFep0eocFl+wKI4mYdZqsMi0WCWZJhtsjFg6Owlo6IiLzPFWMBcvKKYJUEFnxwBBMGtkWDmDCtk+XT9Do99EFAsJMBux8ZkoDV20/g7KUctGwc7ZDftiafdrV+xfcNyoAvSi2g2jTUsYWo3QvHGw5RapWtxtA22IwQjs1SlfNKsqz2TxRujuum1Q2uO+cNxCatgciX32cGbm7S6XQIMuhsnbRDHbNTCFtAV9KHTkaR2QqzhaNcEhGRdlZvPwFrcWuRUxeNWL39BGaN6Vzl/Rn4VU+DmLBy81evKx4oxsumaBCiZOTRlo2jHUYWVUcblWU1EFT6KCrrbIPVOPZHFLJj/0Nve7gdiE1aA5Evv88M3GqRTqdDaLChTC2dJJcd5bKgiE0uiYjIM85eyqnwdWXcDfzI+2XmFCInzwyrJLA4/WiNBeeieCQZ2b6JaPHgMqX7G8ZEhyNYJ1BollBYVPvTOwVi/7hA5MvvMwM3DRj0eoSF6BEW4jjKpUUStr5zZgmFVgnW4j51Vkn2uqdSRETku1o2jsapi0aH19XhbuBH3q+2gnNdce2ioQqzwNeNDEVRQckchEorpiKzFUVmGfmFlhqd2knrgSfIM3z5fWbg5iV0Oh1CgnQICdIDdRzH1lI6PFuK572xWm0/LZJteZHF6tG5cIiIyLdNGNi2TJ+r6nA38CPv543BeUiQHiFBekQVjwYuCwGLVUahWUKRxYrCIhkFRRaX74e0HniCPMOX32cGbj5A7fAcVLbDs0IqnuTUYrUbzUqSYZVtE55arLbRMBncERFRRX2uqsLdwI+8ny8E53qHLikhAGwPu4sstu4oslw8rQMAFE/x4NBM08k6ZRoIlBoYxjbJvNJ/Tzg29STyEAZufsKg18OgB0KCDOVuo3QalmRbYGeVRHFwp/xuW64rPz4kIiJyO/Aj7+erwbleV7Y7Sm2wzfXnOBqos3kA1dFBHX4W9/OD43IZUCPBMvGgqPClOq2E3SFKtrN/rabTbpgYYascMBh06gAyDEi9EwO3AKLX6aA36BBkKDutgb369SPxR1gwrLJsq8GzysUTjAqYJU5zQERE5O8YnFfMNl+g940G6qq4uChkRgSrAaks2weeyiiiJSOHqlNLyAKyErACTmovHWsm7QNJ+yDSXmVBq1IbWnKM4gBYdlzuj1wK3AoLC/Hkk0/ir7/+QkREBBYuXIjY2FiHbebOnYsjR44gIiICALB8+XJERUW5n2KqdTqdDsFBegRDj7CQsutlUdz8UioO7JT+dlbb4CpWq6w+YSIiIiIi36AEpPryn+97LTVILLcmtNS8iOqchiU1n7Cr+VQDV5Sst7+/dVabWXL+UjWnoiR9QQa92v1Jtr9ZLg5CdRU8DXApcFu/fj3i4+Px+OOPY/v27Vi+fDlmz57tsM3x48fx9ttvlwnoyPfpdTrog2zBHZxMNK9M7Gmbw8XWNFOSZHWiT0kWap88WYatqaZV5gArREREROQSXfFIpd5eExoXF4XMzODy19ePKHedS4HbDz/8gIceeggA0LNnTyxfvtxhvSzLOH/+PObMmYOsrCwMHz4cw4cPd+VU5IN0Op1tmF999T5gAraaPKUa3qoEepKAXBzoSerknyjup8eAj4iIiIj8X6X31Rs3bsR7773nsOy6665Tmz1GREQgNzfXYX1+fj7Gjh2L8ePHQ5IkjBs3DgkJCWjTpk2556lXLxxBFQysAdgiVPIMX8prW82d42iaygAsUvGUCbYBWGz99CTZu0bXjIkJ1zoJAYX57Tnl5XUVpm+iUiorI33pO9sfML89h3ntOcxrz3E1rysN3EaMGIERI0Y4LHvssceQl5cHAMjLy0PdunUd1oeFhWHcuHEICwsDAHTr1g0nT56sMHC7ejW/wnTYqhVzK9yGaoa/5LW++F+wAYBBDwSXtCdWOtjaAjwBWZKLh/u1NfWU7Drg2jrfApKQIUu2dULUTC1fTEw4jMaKP/tUc5jfnlNRXtsCt+s8mh5fV1EZ6S/f2b6C+e05zGvPYV57TmV5XVFQ51JTyc6dO2Pfvn3o0KED9u/fjy5dujisP3fuHGbMmIFPPvkEsizjyJEjGDp0qCunIqpxyuia7lCCO6Wjqn3/PVku3Z/P1rRTmXqBTTuJiIiIqLpcCtxGjRqFp556CqNGjUJwcDAWL14MAFizZg2aNWuGPn36YNCgQRg5ciSCg4MxePBgtGrlmzOUEzmj0+kQ5GLwJwvZFsjJAjEx4bgSrFOnXFBG6rRYbMEfERERERHgYuAWFhaG119/vczy8ePHq79PmjQJkyZNcj1lRH5Kr9NDbwCCDEBkeAgKwsvOuSBEyUTp9nPpMbAjIiIiCkycgJvICyk1ekEGPeo4mUtPCewku756QlYmyJTLTJRp+1ncv08SsMqyOlElm20SEREReT8GbkQ+qCSwc/0YykSQymSSjpNUlgzUYj8xpe2nMmBLcUAohBooKn3+ZNnuHydjJyIiInIbAzeiAKVMVGmo5bHZlQnZ5eIaPtmupk8N6koFiBACMhwDRuU17PYTAFAcdMpChoAtoLQ/thKgMngkIiIiX8bAjYhqlTIhu0GvzfltQaItiLvuukhkZgarQZ1sX4NYXFNYpmZRCIdA0X4qCPvA0f48wtn2xduo6WIgSURERNXAwI2I/JoOOlvtog4IDjIgOEibCFIIAeig1hjalsHxp12fQyFEceDn5PdStZP2AaLyu30NpbBPAxyDRqH+ryQtahBavK70fg7pLxWQEhERUe1g4EZE5AFK01Toar95qifZB6RASfB53XVRyMoKVhZCFG+jBHl6vf/kARERkScwcCMiIpfZB6S2H0rtph5BWrWPJSIi8kMsVYmIiIiIiLwcAzciIiIiIiIvpxOCY5sRERERERF5M9a4EREREREReTkGbkRERERERF6OgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkQ1KDU1FV27doXZbNY6KURERJqqrExkmUlUPQzciGpIRkYGfvnlF7Rs2RK7d+/WOjlERESaqaxMZJlJVH0M3IhqyObNm9G3b18MHToUmzdvdukYeXl5aNu2La5cuaIuO3XqFO68806YTKYaSikREVHtqqxMZJlJVH0M3IhqyJYtW3DffffhnnvuwaFDh5CVlVXtY0RERKBFixb4+eef1WWLFy/G5MmTERkZWZPJJSIiqjWVlYksM4mqj4EbUQ04fPgwCgoKcPvttyMmJgbdunXDp59+CgDIzc3F8OHDkZiYiFOnTgEAfvzxRyQnJ2Ps2LH4+9//DovFoh6rffv2OH78OADg+++/x5kzZ5CcnAwAOHjwIDIyMjx8dURERFVXUZlY2XqWmUTlY+BGVAM2b96Me++9FwaDAQAwcOBAfPLJJwCAOnXqYOXKlbjnnnvU7Rs1aoT33nsPa9euRdOmTR3a97dv3159evjqq69i2rRpCAkJAQB89NFHEEJ46rKIiIiqraIysbL1LDOJysfAjchNhYWF+Oyzz3Dfffepy/r06YMLFy7g5MmTCA4ORmxsrMM+DRs2RJ06dQAABoMBen3Jn6JSCO3cuROFhYXqcXfv3o29e/fimWeecbk/ABERUW2qrExkmUnkOgZuRG7atWsXoqOj0aZNGxQVFaGoqAgGgwE9e/astLC4ePEi9u/fj7vuuktd1qZNG2RmZmLhwoWYOXOmWkD17t0bbdu2RVpaGoYMGVJ7F0REROSiyspElplErgvSOgFEvu6TTz7BpUuX0KFDhzLr6tevj3/84x8ICir7p2YymTBr1iy88sorarMOAAgJCUF8fDwiIiLQq1cvdfn58+fRvHnz2rkIIiKiGlBZmXjy5EmWmUQuYuBG5KZ33nmn2vtYrVb8/e9/x2OPPYYWLVo4rDObzcjOzsacOXMclp89e7bMtkRERN7ElTKxMiwziWx0gr02iWrdpEmTcOLECTRu3BjJycnQ6/WYP38+4uPjAQCjRo3CgAEDAABLlizBxYsX8dprrzkc48yZM5g+fTq6d++OZ5991uPXQERE5AksM4mcY+BG5CWOHz+OcePGoXXr1li2bFmZztlERERkwzKTAhEDNyIiIiIiIi/HUSWJiIiIiIi8nNcMTpKZmVvh+nr1wnH1ar6HUhPYmNeew7z2LOa351SW13FxUR5Mje+rqIzk59qzmN+ew7z2HOa157hTPvpMjVtQkEHrJAQM5rXnMK89i/ntOcxrz2Feexbz23OY157DvPYcd/LarRq3//73v1i0aBHS0tIclu/ZswdvvPEGgoKCMGzYMIwcOdLlc1wxFmD19hM4eykHLRtHY8LAtmgQE+ZOsomIiHwey0ciosDico3bqlWrMHv2bBQVFTkst1gsmD9/PlavXo20tDSkp6cjMzPT5QSu3n4Cpy4aIckCpy4asXr7CZePRURE5C9YPhIRBRaXa9yaNWuGpUuX4p///KfD8rNnz6JZs2aIjo4GAHTp0gWHDx/GvffeW+Hx6tULd1p1ePZSTpnX7BtR+5jHnsO89izmt+cwr2uOszKS5aN2mM+ew7z2HOa157ia1y4Hbvfccw8yMjLKLDeZTIiKKklMREQETCZTpccrr5Ney8bROHXR6PC6soFMyD1xcVHMYw9hXnsW89tzKstr3iBUj7MykuWjNvg94jnMa89hXnuOO+VjjQ9OEhkZiby8PPV1Xl6eQyBXXRMGtkWQQQcAiG8agwkD27qdRiIiIl/H8pGIKLDU+HQALVu2xPnz52E0GhEeHo7Dhw9j4sSJLh+vQUwYoiNCYTDoMGtM5xpMKRERke9i+UhEFFhqLHDbtm0b8vPzkZycjFmzZmHixIkQQmDYsGFo2LBhTZ2GiIiIiIgo4LgVuDVp0gQffvghAGDQoEHq8qSkJCQlJbmXMiIiIiIiIgLgQxNwExERERERBSoGbkRERERERF6OgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkRERERERF6OgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkRERERERF6OgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkRERERERF6OgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkRERERERF4uyJWdZFnGCy+8gF9++QUhISGYO3cubrzxRnX9mjVrsGnTJsTGxgIA/vWvf6FFixY1k2IiIiIiIqIA41LgtmvXLpjNZqSnp+Po0aNYsGABVqxYoa4/fvw4Fi5ciISEhBpLKBERERERUaByKXD74Ycf0KNHDwBAp06dcOzYMYf1x48fx8qVK5GZmYm77roLkydPdj+lREREREREAcqlwM1kMiEyMlJ9bTAYYLVaERRkO9zAgQMxevRoREZG4rHHHsPevXvRu3fvCo9Zr144goIMTtcZDDoAQFxclCvJJRcwrz2Hee1ZzG/PYV7XnPLKSJaP2mB+ew7z2nOY157jal67FLhFRkYiLy9PfS3Lshq0CSHwwAMPICrKlqBevXrh559/rjRwu3o1v9x1kiRgMOiQmZnrSnKpmuLiopjXHsK89izmt+dUlte8Qaie8spIlo+ex+8Rz2Feew7z2nPcKR9dGlWyc+fO2L9/PwDg6NGjiI+PV9eZTCbcd999yMvLgxAChw4d8sm+bleMBVjwwRFMemUvFnxwBFeMBQFxbiIiIiIi8j4uBW79+vVDSEgIUlJSMH/+fDz99NPYtm0b0tPTERUVhRkzZmDcuHEYPXo0br75ZvTq1aum013rVm8/gVMXjZBkgVMXjVi9/URAnJuIiIiIiLyPS00l9Xo9XnzxRYdlLVu2VH8fMmQIhgwZ4lbCtHb2Uk6FrytyxViA1dtP4OylHLRsHI0JA9uiQUyYR85NRERERET+hxNwl6Nl4+gKX1fE3Rozd85NRERERET+h4FbOSYMbIug4tG64pvGYMLAtlXe190aM3fOzf5xRERERET+x6WmkoGgQUwYoiNCAQCzxnSu1r4tG0fj1EWjw2tPnVup7QOg1vZV9xhENUUIUfPHdGNfWRaQy0mTTufGgUtz87JFOQeoKDvLWycEoFxa6U3sz+Ns/5JlJVuW3k55j+02hQAQnFuI3HyzwzplXx2A+vUFdDWa6URERP6NgVstmDCwLWavOgirJKpdY+YuLfvm+RpRfEcrhIAQpW5Ihd3NZvFvyvrSN7O2fYX6U7Z7DQiH9XKp1/mSwNWreSitOvGOUP/nuK8o/s/+WiDsbrQrOYft2qqQEAHnYUZFQYa7kY2LMnPNMBrLn3rEl9RCTFyj8sxyuXmt0wHNm8XWbLBMRETk5xi41QJ3aszc5U5tX23V1ik3/3KpAEnASbCD4vXFy5T9HYIg20L1d3U/u23tgzFbwCTbfpeLAyghIOSyQZmn6YKCkJtn0ebkAahMgE5ERLUi0B4GE3kCAzc/40ptny3wEThTqnbuzKUc5OabS4IqWUCGLfiRhePvyg2xJNsCJPsmad4QINUGo6kIOw5ewO9ZJjSqH4kB3ZohJjJU62QRERFpTouuG0IISMo9ilzyAFgWdq1PhGNrmeJFUDaQSxZUfK5auYJqqsFEWHU6GKswLkJNnLI2ulH4EguAq1fLb/0TEhaC6HLuJxm4+QlbrZVATGQI6kaEAAJ4dEgCZFnGX9cKIcsCkvJFVlzrZJVlyJKAJNkCt0bXRSAj06Qes9F1EbiUWbYZnzNaBjFanXvHwQtqfmVkmrDj4AWM7tuq1s9LRETk7VztuiFQcp9SWGRFodkKSS4OyCTbvYwky7bXsu1BsVWSYZVkdT+qPqtOD2NOodbJCAiy3gDjtaJy18fGWgIzcPOHanpJliHLtp9WyfblJMkCkiTDKtuCLqskw2q1LQcAq2T7+UdW1YIuxYBuzfDO9hOQZIEmcbYAqKq0DGK0OvfvWaYKXxMR+TulxYb9zbL6e6n+r/bb2fcVrvQcFZ6/6ums6jErE2oqgqnQB5u4V9jvuKL97AYxKruo+HXZI9x4fRR+/f2a+rpZw0hcuZpvqw0rbpmjdF1QHio7tNYRQIzJ4jf9kolqgl8Hbt44wmJJICZglWVIkoBc/ORIKn5qJMuAVZIBAGcycjz29CgmMhQRYcHQ63XVDnzcCWLcrTHTKoBqVD/SsYayfqRHzktE5ElCCFglAYskw2yWYJYkWCwChWarWlbZttMwkR5kKip/4B0q0bdLE7zzZ8nD4H63NkV2BbUMRFQ5vw7c3J1PrTrsa8SsktLvS+BSVh5kWcBilWxBmqhaNX55T7W8lTtBjLs1ZloFUO7UUBIReRshBMxWGWarDItFgtkqwWK1BWiS5COFEXkN5WEwAI92I2D/c/Jnfh24uTufmsL+aaPSLNEqy7BYBSySBItFLlOoKc0Wc/PMLqffl7gTxLhbY+bOud35gteqUCIicocky7BYZRRZZFiski1Ys0goMks+87CQqDzsf07+zC8CN0mWkVdodRgGHhAY1rMFXt3wI6ySQPMbojD4zptw+Wq+w7Dz6rDxtl2K21vLEChprnjqopGFWSXcCWLcrTFz59y++gXPJ4pEVFV5hRbkFVjUAM1ild0u0/gdRN6K/c/Jn+m1TkBNsEoCv2fm4Y+sPPz5Vz4uZ+fjcnYBJFkgvE4w6kaEYMRdN0MHHa5eK4Ix14ycXDOumczIzbPAlG9BXr6tYMsvtKCwSEJRkWQ3N5jWV+jfBnRrBoPeNhOvp5sc+uoXvBJwyqIk4CQicia3wILsa0Uw5VtgtrgftAH8DiLvVfrhL/ufkz/xi8CNfJtSY1Y3IgSj+7by6FNbX/2C99WAk4j8A7+DyFtp+TCYqLYxcKOA5qtf8L4acBKRf+B3EHkrLR8GE9U2v+jjRuQqXx1gRKsBWYiIAO1G1eX3FxEFMgZuRD5IqwFZeNNERIB2D718dUAprfA7m8i/sKkkUYBxp28KByQgIi2xb1318DubKmM0FWHdrtOY/dY3WLfrNIwmTpLuzVjjRhRg3Jl+wVdvmtSnzn/lodF1EXzqTOSj3J0+JtD46ne2r/LFGk7WYvsWl2rcZFnGnDlzkJycjNTUVJw/f95h/Z49ezBs2DAkJyfjww8/rJGEElHNcGdAFncGJFCe6i3a8GO1n+q5sy9g99RZFnzqTOTDfHVAKa1wEBnP8sUaTi2De3fLdl87b01wKXDbtWsXzGYz0tPTMXPmTCxYsEBdZ7FYMH/+fKxevRppaWlIT09HZmZmjSWYiNzjzohb7tw0uVOguVsY8qkzkX/QcsRAd5qUaXWjyEDXs7Qqa9z5fGkZ3GsV6LpzXq2DPp0Q1Z+Kc/78+ejQoQMGDhwIAOjRowe++uorAMDJkyfx6quv4p133gEAzJs3D4mJibj33nsrPOaD/9pZ7rqruYWATod65XxBCwhYJeeXkZtvBgBEhYdUfFFetK+W5/bFfbU8t7vp1ut1kGXXZsP1tWu+lmcus6xuRNWO4c6+AJBXYIFkl88GvU4dWIFqR2Wf7bQX+kNffENJlSuvjKysfAQASZbh4tdMhdz9/vP0eWVZoKDICkkWMOh1CAsNqtZn0J3vES2/g7R6n2ri3K6WkVpds1bvszvnlWUBU4FF3a+6fxfucKdsd+fv2Z3z1sR7XNnnetETPXBDOQG0S33cTCYTIiNLDmgwGGC1WhEUFASTyYSoqCh1XUREBEymyp846A06lJfd9WPCKtxXCB1kITtdF+3G0zit9tXy3L64r5bndmffnOKnNK4ew9eu2WDQQbJ7wGIw6Kr8JevOvgAQHhaM/EILJEnAYNAhvE5wlfeXZIHc4i95ZV9DNc7tzvus1b5an5vKKq+MrKx8BAABPeDkGa2W30HunNvV8+YVltxwSbJAgdlarRt7qdSNliSLan2PuLOvO99BvlpOafEZcTevtSpr3Pl86fU6xERpk1/ulO3u/D27c1538hpw/2/KpcAtMjISeXl56mtZlhEUFOR0XV5enkMgV56Fk7tXuD4uLgqZmblO1xVZJPz2+7WqJJ2qICYmHEZjvtbJ8Htvbj0OvV6Hh++7ReukeIQ7nbZrqsO3K5/tdbtOqwWTJAlEh4dUa/oEZa6ryDrB1U73m1uPA4BLnxF39q2Jc1f02daxoq3aKiojKyofAeDPq/kwXivbnMfdz4ir3P27cNWiDT86vBayqNa1r9t12mFglCZxkVX+LnB3X1e/g9yl1WdEObeny0gt89qdc7vz+VJ4unwE3Cvb3fl7due87ua1u59rlwK3zp07Y+/evRgwYACOHj2K+Ph4dV3Lli1x/vx5GI1GhIeH4/Dhw5g4caJLiSPyV0ZTkVrdvm7XaZ8YecpdMZGhLheA7uzrLnenT1CeznG0LiIbrf4u3B2RckC3ZmVGp632vnY3ilXFPrqeo2Veu3Nudz5f7nA3v9wp2935e3bnvFrltcKlwK1fv374+uuvkZKSAiEE5s2bh23btiE/Px/JycmYNWsWJk6cCCEEhg0bhoYNG9Z0uol8Gm/ofUcgTp9AVJu0+rtw94ZLudlzpWZCqxtUqh4t81qrQMQdWuaXVgGUlg+SARcDN71ejxdffNFhWcuWLdXfk5KSkJSU5F7KiPwYb+h9hzuFgzuFWiDWylJg0OpmT+sbLldpdYMaiN9BWtamaF2T4wot0+yLf8818TfFCbiJNMAnqL5DqyYV7tTKBuINF/kOX7xB1ZJWN6iB2DJEy2DAFwMRX0yzlmrib4qBG5EG3OkrQb7DnUKNfevIX/FmzzewZQhRzaqJvykGbkQacKevBAUG9q0jIi2xZQhRzaqJvyl9TSaIiIhqxoBuzdAkLhJ6nW244er2ravodWWUppbX8sxYt+s0jKayQ8kTkX9z5zuIiMpS/6b0Opf/pljjRkTkhbQcrphNLYmITVqJalZNtLbym8BNr9cBAhCw3WwIUckORER+yt0bLja1JCIi8j5+EbiFBhsQ3zQGojhaExAQojh4E4AAICvrhEDxg2TbMuG4TAhhO44A5OLXVllAsgqYJQlWi6w+iSYi8kecxsC/NIgOQ73IUJgtEsxWGWarBItFQAeApRkRke/wi8BNodPpbD+hA3S1cw4hBCRZwCoJWCUZVqsMqyzDIsmwWgUsVgkWq8waPyLyWVpNY0C1Q6/XIVRvQGiwwWF5kEEPQKBJw0hYioM6i1VGkdlWjhERkXfxq8DNE3Q6HYIMOgQZAMDgdBsBAatVwCrLsEoCsmSrpZNk2zJJEpBlwCpJtvWswSMiL6LVNAakBR0i6wQDdYIdllol2RbIWSSYJRlmi2yrsbNIfDBJRKQRBm61QAcdgoN0CK7CoJ22Zpq2QE6SZVuzTLtgTwn+JFnYavck1uYRkffiEOL+Icigt9XIhTreJshChsUqUGSRYLFIsMhC7VQuiv8nALXrAlDS51yo/3Ncbk9U0HhTXed0P6c7OL6socIzOEiPkGBtBuWu7fJfruQE6mr797GSBre8ZyGqOQzcNKbT6WDQ6WDQo8qBnhrIFdfeSZJc8rssipttympNHr80ichTOLm8f9Pr9AgNRplml4EkLi4KmZnBlW/oxxwCcwA6uw6T9oGcGrTLgAzbQ2q5+IG1kIvHFxC2lkdy8XgDynq9DtDrgLA6QZCk4tZKQvCehgIaAzcfo9MptXlAeU01FQK2L0MhA5Jas2f7J8nKl6btd/ULUxYIqxOEglADhLpdyYAvREQV4eTyRP5PGVMAsBtSQKf8sBtkQPnVhQpKg14Pg0GHGxtGqctkIUOWbPc0ShcUSZLV+xWrKLnHkWS5ZJC64oCvZKA6OIxEri4j8nIM3PyYDjoY9DpAX703Oi4uCpmhJUGh8mTN9oSsZJROJRBUvgyV3yGEOiKnUEbtVI5TvG3xr+prWdiG8ZSFUJvZKPuWpMPtLCEiIiIfpdfpoQ+qmZtXIQSgK7nfsC1TVvruiKuVNV0tT2xsJLIjqpezvC9zTWxsBLLDy8/r66LDyl3HwI0qpTxZM+h0Lj01c4cslCGrS6Z4sP+isJ/moThmLGlKUVyLKIRjQAm7J2/Cbt/q9s2wpal4X/vmH3YBJ7/UiIiIvI86Ermu9kYi9yVhoUEICQrcJtCeFF4nGHkVNDcPqWAdAzfyanoPTPFQG9Sgzi7YLAk+SwLKevUiEBFSQTRcQeQnnGxSuvO9sI847Z4gCscNyhyzsoXlpaqmOv/Xlpi6odDLUrnrPZX6ap+nVH+S8g5Wep2z98P5gBDlJ6zk4YWwmyvTbnu75kb2xzboAYNBp25n/1HUaTOuAxH5iCvGAuTkFcEqCSz44AgmDGyLBjHl10IQBQoGbkS1QAddlZ7iRUeGwlxg9kyiCHFxUQjxoQcAvsw2gENumeVK8KfX840gIudWbz8Bq2T7rjh10YjV209g1pjOGqeKSHsM3IiIyGPsBzUgInLm7KWcCl8TBSo2WCEiIiIir9GycXSFr4kCFQM3IiIiIvIaEwa2RXzTGBj0OsQ3jcGEgW21ThKRV3CpqWRhYSGefPJJ/PXXX4iIiMDChQsRGxvrsM3cuXNx5MgRREREAACWL1+OqKgoZ4cjIiIiIgIANIgJw6wxncvtK0sUqFwK3NavX4/4+Hg8/vjj2L59O5YvX47Zs2c7bHP8+HG8/fbbZQI6IiIiIiIiqh6XArcffvgBDz30EACgZ8+eWL58ucN6WZZx/vx5zJkzB1lZWRg+fDiGDx9e4THr1QtHUCXzR8TFscbOU5jXnsO89izmt+cwr2tOZWWkK3mtTNfA96n6mGeew7z2HOa157ia15UGbhs3bsR7773nsOy6665Tmz1GREQgN9exGjs/Px9jx47F+PHjIUkSxo0bh4SEBLRp06bc81y9ml9hOlhd7jnMa89hXnsW89tzKstr3iBUT0VlpKufa6l4uHX+TVQPv0c8h3ntOcxrz3GnfKw0cBsxYgRGjBjhsOyxxx5DXl4eACAvLw9169Z1WB8WFoZx48YhLMw2WWK3bt1w8uTJCgM3IiIiIiIics6lUSU7d+6Mffv2AQD279+PLl26OKw/d+4cRo8eDUmSYLFYcOTIEbRr18791BIREREREQUgl/q4jRo1Ck899RRGjRqF4OBgLF68GACwZs0aNGvWDH369MGgQYMwcuRIBAcHY/DgwWjVqlWNJpyIiIiIiChQuBS4hYWF4fXXXy+zfPz48ervkyZNwqRJk1xPGREREdWKK8YC5OQVwSoJLPjgCCYMbIsGMWFaJ4uIiCrACbiJiIgCzOrtJ2AtHpzk1EUjVm8/oXGKiIioMgzciIiIAszZSzkVviYiIu/DwI2IiCjAtGwcXeFrIiLyPgzciIiIAsyEgW0R3zQGBr0O8U1jMGFgW62TRERElXBpcBIiIiLyXQ1iwjBrTGetk0FERNXAGjciIiIiIiIvx8CNiIiIiIjIyzFwIyIiIiIi8nIM3IiIiIiIiLycTgghtE4EERERERERlY81bkRERERERF6OgRsREREREZGXY+BGRERERETk5Ri4EREREREReTkGbkRERERERF6OgRsREREREZGX8+rATZZlzJkzB8nJyUhNTcX58+e1TpLfe+utt5CcnIz7778fGzdu1Do5fum///0vUlNTAQAnTpzA6NGjkZqaiokTJyIrK0vj1PmX0nk9cuRIjBo1Ck8//TRkWdY4df7DYrHgySefxOjRozF8+HDs3r1bXbdt2zYkJydrmDr/xTLSs1g+1j6Wj57FMrL21XT56NWB265du2A2m5Geno6ZM2diwYIFWifJrx06dAg//vgj1q9fj7S0NPz5559aJ8nvrFq1CrNnz0ZRUREA4OWXX8Zzzz2HtLQ09OvXD6tWrdI4hf6jdF4vW7YMU6dOxfr162E2m/Hll19qm0A/snXrVsTExGDdunVYtWoVXnrpJQC2G4FNmzaB04XWDpaRnsPysfaxfPQslpGeUdPlo1cHbj/88AN69OgBAOjUqROOHTumcYr824EDBxAfH4+pU6fikUcewV133aV1kvxOs2bNsHTpUvX1a6+9hrZt2wIAJElCaGioVknzO6Xzum3btjAajRBCIC8vD0FBQRqmzr/0798f06ZNU18bDAZcvXoVixYtwjPPPKNhyvwby0jPYflY+1g+ehbLSM+o6fLRq98Vk8mEyMhI9bXBYIDVauWHqZZcvXoVv//+O958801kZGTg0Ucfxeeffw6dTqd10vzGPffcg4yMDPV1gwYNAABHjhzB2rVr8cEHH2iVNL9TOq9vuukmvPjii1ixYgWioqJw++23a5g6/xIREQHA9p39xBNPYNq0aXj22WfxzDPP8GarFrGM9ByWj7WP5aNnsYz0jJouH726xi0yMhJ5eXnqa1mWWSDVopiYGNx5550ICQlBixYtEBoaiuzsbK2T5fd27NiB559/HitXrkRsbKzWyfFbL7/8Mj744AN8/vnnGDJkCJuV1bA//vgD48aNw+DBg3HTTTfh/PnzeOGFF/D3v/8dZ86cwcsvv6x1Ev0Oy0jPYfmoDZaPnsMysvbUZPno1YFb586dsX//fgDA0aNHER8fr3GK/FuXLl3w1VdfQQiBy5cvo6CgADExMVony69t2bIFa9euRVpaGpo2bap1cvxadHS0WjvRoEEDXLt2TeMU+Y+srCxMmDABTz75JIYPH44OHTpg+/btSEtLw2uvvYabb74Zzz77rNbJ9DssIz2H5aPnsXz0LJaRtaOmy0evfjTXr18/fP3110hJSYEQAvPmzdM6SX6td+/e+P777zF8+HAIITBnzhwYDAatk+W3JEnCyy+/jBtuuAGPP/44AKBr16544oknNE6Zf5o7dy5mzJiBoKAgBAcHqx2EyX1vvvkmrl27huXLl2P58uUAbB3f69Spo3HK/BvLSM9h+ehZLB89j2Vk7ajp8lEnONwXERERERGRV/PqppJERERERETEwI2IiIiIiMjrMXAjIiIiIiLycgzciIiIiIiIvBwDNyIiIiIiIi/HwI2IiIiIiMjLMXAjIiIiIiLycgzciIiIiIiIvNz/B3+gLPZDqZ+GAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nacionales = pd.DataFrame(np.log(sjodatos['nacionales'].values), index=pd.period_range('2011-01', '2019-12', freq='M'))\n",
    "correlogramas4(nacionales, 'nacionales', plot_acf);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlogramas4(nacionales, 'nacionales', plot_pacf);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "extranjeros = pd.DataFrame(np.log(sjodatos['extranjeros'].values), index=pd.period_range('2011-01', '2019-12', freq='M'))\n",
    "fig = correlogramas4(extranjeros, 'extranjeros', plot_acf);\n",
    "fig.savefig(figpath+'sjo-ACF-extranjeros.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlogramas4(extranjeros, 'extranjeros', plot_pacf);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Estimación de un modelo SARIMA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Selección de orden usando X13"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### Pasajeros nacionales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modelo escogido: SARIMA(0, 1, 2)X(0, 1, 1)\n"
     ]
    }
   ],
   "source": [
    "resultado = x13_arima_select_order(nacionales, x12path=x13path, log=False)\n",
    "print(f\"Modelo escogido: SARIMA{resultado['order']}X{resultado['sorder']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### Pasajeros extranjeros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modelo escogido: SARIMA(0, 1, 1)X(0, 1, 1)\n"
     ]
    }
   ],
   "source": [
    "resultado = x13_arima_select_order(extranjeros, x12path=x13path, log=False)\n",
    "print(f\"Modelo escogido: SARIMA{resultado['order']}X{resultado['sorder']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Estimación del modelo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### Pasajeros nacionales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>SARIMAX Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>                   <td>0</td>                <th>  No. Observations:  </th>    <td>108</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>           <td>SARIMAX(0, 1, 2)x(0, 1, [1], 12)</td> <th>  Log Likelihood     </th>  <td>110.232</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>                    <td>Sat, 23 Apr 2022</td>         <th>  AIC                </th> <td>-212.464</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                        <td>16:50:44</td>             <th>  BIC                </th> <td>-202.249</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sample:</th>                     <td>01-31-2011</td>            <th>  HQIC               </th> <td>-208.336</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th></th>                           <td>- 12-31-2019</td>           <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>                <td>opg</td>               <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>        <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ma.L1</th>    <td>   -1.0127</td> <td>    0.102</td> <td>   -9.967</td> <td> 0.000</td> <td>   -1.212</td> <td>   -0.814</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ma.L2</th>    <td>    0.3374</td> <td>    0.099</td> <td>    3.408</td> <td> 0.001</td> <td>    0.143</td> <td>    0.531</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ma.S.L12</th> <td>   -0.9026</td> <td>    0.332</td> <td>   -2.716</td> <td> 0.007</td> <td>   -1.554</td> <td>   -0.251</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>sigma2</th>   <td>    0.0047</td> <td>    0.001</td> <td>    3.436</td> <td> 0.001</td> <td>    0.002</td> <td>    0.007</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Ljung-Box (L1) (Q):</th>     <td>0.07</td> <th>  Jarque-Bera (JB):  </th> <td>3.29</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Q):</th>                <td>0.79</td> <th>  Prob(JB):          </th> <td>0.19</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Heteroskedasticity (H):</th> <td>1.32</td> <th>  Skew:              </th> <td>-0.17</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(H) (two-sided):</th>    <td>0.43</td> <th>  Kurtosis:          </th> <td>3.84</td> \n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Covariance matrix calculated using the outer product of gradients (complex-step)."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                                      SARIMAX Results                                       \n",
       "============================================================================================\n",
       "Dep. Variable:                                    0   No. Observations:                  108\n",
       "Model:             SARIMAX(0, 1, 2)x(0, 1, [1], 12)   Log Likelihood                 110.232\n",
       "Date:                              Sat, 23 Apr 2022   AIC                           -212.464\n",
       "Time:                                      16:50:44   BIC                           -202.249\n",
       "Sample:                                  01-31-2011   HQIC                          -208.336\n",
       "                                       - 12-31-2019                                         \n",
       "Covariance Type:                                opg                                         \n",
       "==============================================================================\n",
       "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "ma.L1         -1.0127      0.102     -9.967      0.000      -1.212      -0.814\n",
       "ma.L2          0.3374      0.099      3.408      0.001       0.143       0.531\n",
       "ma.S.L12      -0.9026      0.332     -2.716      0.007      -1.554      -0.251\n",
       "sigma2         0.0047      0.001      3.436      0.001       0.002       0.007\n",
       "===================================================================================\n",
       "Ljung-Box (L1) (Q):                   0.07   Jarque-Bera (JB):                 3.29\n",
       "Prob(Q):                              0.79   Prob(JB):                         0.19\n",
       "Heteroskedasticity (H):               1.32   Skew:                            -0.17\n",
       "Prob(H) (two-sided):                  0.43   Kurtosis:                         3.84\n",
       "===================================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
       "\"\"\""
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mod_nacionales = SARIMAX(nacionales, order=(0,1,2), seasonal_order=(0,1,1,12)).fit()\n",
    "mod_nacionales.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "#### Pasajeros extranjeros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>SARIMAX Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>                  <td>0</td>               <th>  No. Observations:  </th>    <td>108</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>           <td>SARIMAX(0, 1, 1)x(0, 1, 1, 12)</td> <th>  Log Likelihood     </th>  <td>194.101</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>                   <td>Sat, 23 Apr 2022</td>        <th>  AIC                </th> <td>-382.202</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                       <td>16:50:44</td>            <th>  BIC                </th> <td>-374.540</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Sample:</th>                    <td>01-31-2011</td>           <th>  HQIC               </th> <td>-379.106</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th></th>                          <td>- 12-31-2019</td>          <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>               <td>opg</td>              <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>        <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ma.L1</th>    <td>   -0.6110</td> <td>    0.087</td> <td>   -7.031</td> <td> 0.000</td> <td>   -0.781</td> <td>   -0.441</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ma.S.L12</th> <td>   -0.7649</td> <td>    0.117</td> <td>   -6.524</td> <td> 0.000</td> <td>   -0.995</td> <td>   -0.535</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>sigma2</th>   <td>    0.0009</td> <td>    0.000</td> <td>    6.347</td> <td> 0.000</td> <td>    0.001</td> <td>    0.001</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Ljung-Box (L1) (Q):</th>     <td>0.05</td> <th>  Jarque-Bera (JB):  </th> <td>0.23</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Q):</th>                <td>0.83</td> <th>  Prob(JB):          </th> <td>0.89</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Heteroskedasticity (H):</th> <td>1.56</td> <th>  Skew:              </th> <td>0.09</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(H) (two-sided):</th>    <td>0.21</td> <th>  Kurtosis:          </th> <td>3.16</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Covariance matrix calculated using the outer product of gradients (complex-step)."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                                     SARIMAX Results                                      \n",
       "==========================================================================================\n",
       "Dep. Variable:                                  0   No. Observations:                  108\n",
       "Model:             SARIMAX(0, 1, 1)x(0, 1, 1, 12)   Log Likelihood                 194.101\n",
       "Date:                            Sat, 23 Apr 2022   AIC                           -382.202\n",
       "Time:                                    16:50:44   BIC                           -374.540\n",
       "Sample:                                01-31-2011   HQIC                          -379.106\n",
       "                                     - 12-31-2019                                         \n",
       "Covariance Type:                              opg                                         \n",
       "==============================================================================\n",
       "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "ma.L1         -0.6110      0.087     -7.031      0.000      -0.781      -0.441\n",
       "ma.S.L12      -0.7649      0.117     -6.524      0.000      -0.995      -0.535\n",
       "sigma2         0.0009      0.000      6.347      0.000       0.001       0.001\n",
       "===================================================================================\n",
       "Ljung-Box (L1) (Q):                   0.05   Jarque-Bera (JB):                 0.23\n",
       "Prob(Q):                              0.83   Prob(JB):                         0.89\n",
       "Heteroskedasticity (H):               1.56   Skew:                             0.09\n",
       "Prob(H) (two-sided):                  0.21   Kurtosis:                         3.16\n",
       "===================================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
       "\"\"\""
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mod_extranjeros = SARIMAX(extranjeros, order=(0,1,1), seasonal_order=(0,1,1,12)).fit()\n",
    "\n",
    "with open(figpath+'SJO-extranjeros-SARIMA.tex','w') as archivo:\n",
    "    archivo.write(mod_extranjeros.summary().as_latex())\n",
    "    \n",
    "mod_extranjeros.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Pronósticos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def plot_forecast(modelo, serie, residencia, ax):\n",
    "    fcast = modelo.get_forecast('2020-12')\n",
    "    ci = np.exp(fcast.conf_int())\n",
    "    np.exp(fcast.predicted_mean).plot(ax=ax)\n",
    "    ax.fill_between(ci.index,'lower y', 'upper y', data=ci, alpha=0.5)    \n",
    "    np.exp(serie).plot(ax=ax, legend=False)\n",
    "    ax.set(title=f'Pronóstico de pasajeros {residencia} en aeropuerto SJO')\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1, figsize=[8,3])\n",
    "plot_forecast(mod_extranjeros, extranjeros['2015':], 'extranjeros', ax)\n",
    "ax.set(ylabel='miles de pasajeros')\n",
    "fig.savefig(figpath+'SJO-sarima-extranjeros-forecast.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def cuadro(residencia):\n",
    "    temp = sjodatoscuadro[residencia]\n",
    "    temp.columns = mesescorto\n",
    "    temp.index.name = ''\n",
    "    temp.columns.name= ''\n",
    "    temp.round(0).astype(int).reset_index().to_latex(figpath + f'cuadro-SJO-{residencia}.tex', index=False)\n",
    "    return temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>May</th>\n",
       "      <th>Jun</th>\n",
       "      <th>Jul</th>\n",
       "      <th>Ago</th>\n",
       "    </tr>\n",
       "    <tr>\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>2016</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>$y_{t-36-1}$</td>\n",
       "      <td>$y_{t-36}=138.7$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>$y_{t-24-1}$</td>\n",
       "      <td>$y_{t-24}=142.8$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>$y_{t-12-1}$</td>\n",
       "      <td>$y_{t-12}=156.0$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>$y_{t-3}=128.2$</td>\n",
       "      <td>$y_{t-2}=137.0$</td>\n",
       "      <td>$y_{t-1}=151.4$</td>\n",
       "      <td>$y_{t\\phantom{-00}}=156.4$</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  May              Jun              Jul  \\\n",
       "                                                          \n",
       "2016                                       $y_{t-36-1}$   \n",
       "2017                                       $y_{t-24-1}$   \n",
       "2018                                       $y_{t-12-1}$   \n",
       "2019  $y_{t-3}=128.2$  $y_{t-2}=137.0$  $y_{t-1}=151.4$   \n",
       "\n",
       "                             Ago  \n",
       "                                  \n",
       "2016            $y_{t-36}=138.7$  \n",
       "2017            $y_{t-24}=142.8$  \n",
       "2018            $y_{t-12}=156.0$  \n",
       "2019  $y_{t\\phantom{-00}}=156.4$  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ilustrado = cuadro('extranjeros').round(1).astype(str).iloc[5:,4:8]\n",
    "\n",
    "v2019 = ilustrado.iloc[-1].values.copy()\n",
    "rezagos = ['-36', '-24', '-12',r'\\phantom{-00}']\n",
    "\n",
    "ilustrado['May'] = ['']*4\n",
    "ilustrado['Jun'] = ['']*4\n",
    "ilustrado['Ago'] = [f'$y_{{t{lag}}}={v}$' for lag, v in zip(rezagos, ilustrado['Ago'])]\n",
    "ilustrado['Jul'] = [f'$y_{{t{lag}-1}}$' for lag in rezagos]\n",
    "ilustrado.iloc[-1,:3] = [f'$y_{{t{lag}}}={v}$' for lag, v in zip(['-3','-2','-1'], v2019[:-1])]\n",
    "ilustrado.reset_index().to_latex(figpath + 'cuadro-SJO-ilustrado.tex',escape=False, index=False)\n",
    "ilustrado"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Descomposición de una serie usando X13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def X13ARIMA(serie, show=False):\n",
    "    \n",
    "    res = x13_arima_analysis(serie, x12path=x13path, log=False)\n",
    "    if show:\n",
    "        print(res.results)\n",
    "    temp = pd.concat([res.__getattribute__(componente) for componente in ['observed','seasadj','trend','irregular']], axis=1)\n",
    "    temp.columns = ['Serie original','Serie ajustada por estacionalidad','Serie tendencia ciclo','Componente irregular']\n",
    "    return temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "componentes = X13ARIMA(extranjeros, False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>Serie original</th>\n",
       "      <th>Serie ajustada por estacionalidad</th>\n",
       "      <th>Serie tendencia ciclo</th>\n",
       "      <th>Componente irregular</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01</th>\n",
       "      <td>4.756276</td>\n",
       "      <td>4.509644</td>\n",
       "      <td>4.508827</td>\n",
       "      <td>0.000818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02</th>\n",
       "      <td>4.657383</td>\n",
       "      <td>4.506701</td>\n",
       "      <td>4.511938</td>\n",
       "      <td>-0.005237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03</th>\n",
       "      <td>4.859316</td>\n",
       "      <td>4.516875</td>\n",
       "      <td>4.514741</td>\n",
       "      <td>0.002133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04</th>\n",
       "      <td>4.635680</td>\n",
       "      <td>4.511089</td>\n",
       "      <td>4.517518</td>\n",
       "      <td>-0.006429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05</th>\n",
       "      <td>4.415377</td>\n",
       "      <td>4.530892</td>\n",
       "      <td>4.519544</td>\n",
       "      <td>0.011348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08</th>\n",
       "      <td>5.052423</td>\n",
       "      <td>4.948874</td>\n",
       "      <td>4.958813</td>\n",
       "      <td>-0.009940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09</th>\n",
       "      <td>4.617207</td>\n",
       "      <td>4.967796</td>\n",
       "      <td>4.968416</td>\n",
       "      <td>-0.000620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10</th>\n",
       "      <td>4.625345</td>\n",
       "      <td>5.022682</td>\n",
       "      <td>4.980319</td>\n",
       "      <td>0.042363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11</th>\n",
       "      <td>4.805086</td>\n",
       "      <td>4.972898</td>\n",
       "      <td>4.992189</td>\n",
       "      <td>-0.019291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12</th>\n",
       "      <td>5.032521</td>\n",
       "      <td>5.022632</td>\n",
       "      <td>5.002369</td>\n",
       "      <td>0.020262</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Serie original  Serie ajustada por estacionalidad  \\\n",
       "2011-01        4.756276                           4.509644   \n",
       "2011-02        4.657383                           4.506701   \n",
       "2011-03        4.859316                           4.516875   \n",
       "2011-04        4.635680                           4.511089   \n",
       "2011-05        4.415377                           4.530892   \n",
       "...                 ...                                ...   \n",
       "2019-08        5.052423                           4.948874   \n",
       "2019-09        4.617207                           4.967796   \n",
       "2019-10        4.625345                           5.022682   \n",
       "2019-11        4.805086                           4.972898   \n",
       "2019-12        5.032521                           5.022632   \n",
       "\n",
       "         Serie tendencia ciclo  Componente irregular  \n",
       "2011-01               4.508827              0.000818  \n",
       "2011-02               4.511938             -0.005237  \n",
       "2011-03               4.514741              0.002133  \n",
       "2011-04               4.517518             -0.006429  \n",
       "2011-05               4.519544              0.011348  \n",
       "...                        ...                   ...  \n",
       "2019-08               4.958813             -0.009940  \n",
       "2019-09               4.968416             -0.000620  \n",
       "2019-10               4.980319              0.042363  \n",
       "2019-11               4.992189             -0.019291  \n",
       "2019-12               5.002369              0.020262  \n",
       "\n",
       "[108 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "componentes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[12,6])\n",
    "gs = plt.GridSpec(3,1,figure=fig, height_ratios=[4,1,1])\n",
    "ax0 = fig.add_subplot(gs[0])\n",
    "np.exp(componentes.iloc[:,:3]).plot(ax=ax0)\n",
    "\n",
    "ax1 = fig.add_subplot(gs[1],sharex=ax0)\n",
    "sfact = componentes['Serie original'] - componentes['Serie ajustada por estacionalidad']\n",
    "np.exp(sfact).plot(ax=ax1)\n",
    "\n",
    "\n",
    "ax2 = fig.add_subplot(gs[2],sharex=ax0, sharey=ax1)\n",
    "np.exp(componentes['Componente irregular']).plot(ax=ax2)\n",
    "\n",
    "ax0.set(title='Series original, ajustada por estacionalidad, y tendencia-ciclo')\n",
    "ax1.set(title='Factor estacional')\n",
    "ax2.set(title='Componente irregular')\n",
    "fig.suptitle('Descomposición multiplicativa de la serie de pasajeros extranjeros en SJO, X13as', size=18)\n",
    "\n",
    "fig.savefig(figpath+'SJO-extranjeros-descomposición.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Graficando los factores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "factores2019 = np.exp(sfact['2019':'2019'])\n",
    "etiq = [f'{ff:.2f}' for ff in factores2019]\n",
    "fig, ax = plt.subplots(figsize=[9,3])\n",
    "\n",
    "ax.bar(mesescorto, factores2019-1)\n",
    "ax.set(yticks=np.array([0.6,0.8,1.0,1.2,1.4])-1, \n",
    "       yticklabels = ['0.6','0.8','1.0','1.2','1.4'], \n",
    "       ylim=[-0.45,0.45])\n",
    "\n",
    "ax.grid(False)\n",
    "ax.axhline(0, color='red')\n",
    "\n",
    "for mes, ff, tx in zip(range(12), factores2019.values, etiq):\n",
    "    offs = -1.025 if ff<1 else -0.975\n",
    "    ax.annotate(tx, (mes,ff+offs),ha='center', va='center')\n",
    "\n",
    "ax.set(title='Factores estacionales de 2019')\n",
    "fig.savefig(figpath+'SJO-extranjeros-seasonal-factor.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2019-01    1.259537\n",
       "2019-02    1.180528\n",
       "2019-03    1.402092\n",
       "2019-04    1.142952\n",
       "2019-05    0.909268\n",
       "2019-06    0.959711\n",
       "2019-07    1.069695\n",
       "2019-08    1.109101\n",
       "2019-09    0.704274\n",
       "2019-10    0.672108\n",
       "2019-11    0.845513\n",
       "2019-12    1.009938\n",
       "Freq: M, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "factores2019"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Comparando la tasa de crecimiento obtenida a partir de series ajustadas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "Collapsed": "false",
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3,1,figsize=[12,6], sharex=True)\n",
    "\n",
    "(100 * componentes[['Serie original','Serie tendencia ciclo']].diff(12)).plot(ax=axs[0])\n",
    "\n",
    "(100 * componentes[['Serie original','Serie tendencia ciclo']].diff()).plot(ax=axs[1])\n",
    "\n",
    "(100*((componentes[['Serie tendencia ciclo']].diff())*12)).plot(ax=axs[2])\n",
    "(100 * componentes[['Serie tendencia ciclo']].diff(12)).plot(ax=axs[2])\n",
    "\n",
    "\n",
    "axs[0].set(title='Tasa de crecimiento interanual')\n",
    "axs[1].set(title='Tasa de crecimiento mensual')\n",
    "axs[2].set(title='Tasa de crecimiento de la serie tendencia-ciclo')\n",
    "axs[2].legend(['Mensual, anualizada', 'Interanual'])\n",
    "\n",
    "for ax in axs:\n",
    "    ax.grid(False)\n",
    "    \n",
    "fig.savefig(figpath+'SJO-extranjeros-tasa-crecimiento.pdf', bbox_inches='tight')    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.7 ('base')",
   "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": "3.9.7"
  },
  "toc-autonumbering": true,
  "vscode": {
   "interpreter": {
    "hash": "ad2bdc8ecc057115af97d19610ffacc2b4e99fae6737bb82f5d7fb13d2f2c186"
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  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}