{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análisis de datos de gastos municipales con Pandas y Jupyter Notebooks\n",
    "\n",
    "# Introducción"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Este es el primero de varios talleres introductorios al procesamiento y limpieza de datos. En este estaremos usando como ambiente de trabajo a **Jupyter**, que permite crear documentos con código y prosa, además de almacenar resultados de las operaciones ejecutadas (cálculos, graficas, etc). Jupyter permite interactuar con varios lenguajes de programación, en este, usaremos **Python**, un lenguaje de programación bastante simple y poderoso, con acceso a una gran variedad de librerias para procesamiento de datos. Entre estas, está **Pandas**, una libreria que nos da acceso a estructuras de datos muy poderosas para manipular datos.\n",
    "\n",
    "¡Comenzemos entonces! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Instalación\n",
    "\n",
    "Para poder ejecutar este *Notebook*, necesitas tener instalado Python 3, el cual corre en todos los sistemas operativos actuales, sin embargo, para instalar las dependencias: Pandas y Jupyter.\n",
    "\n",
    "### Modo Sencillo\n",
    "\n",
    "Puedes leerte para mas detalles: [https://es.schoolofdata.org/2017/07/20/preparate-para-aprender-python-guia-de-instalacion-de-bibliotecas/)[es.schoolofdata.org/2017/07/20/preparate-para-aprender-python-guia-de-instalacion-de-bibliotecas/]\n",
    "\n",
    "Recomiendo utilizar la distribución Anaconda https://www.continuum.io/downloads en su version para Python 3, esta incluye instalado Jupyter, Pandas, Numpy y Scipy, y mucho otro software útil. Sigue las instrucciones en la documentacion de Anaconda para configurar un ambiente de desarollo con Jupyter.\n",
    "https://docs.continuum.io/anaconda/navigator/getting-started.html\n",
    "\n",
    "Una vez instalado, prueba a seguir los paso de https://www.tutorialpython.com/modulos-python/ o tu tutorial de Python Favorito.\n",
    "\n",
    "\n",
    "\n",
    "### \"It's a Unix System, I know This!\" - Modo Avanzado\n",
    "\n",
    "Te recomiendo utilizar Python 3.6 o superior, instalar la version mas reciente posible de virtualenv y pip. Usa Git para obtener el codigo, crea un nuevo entorno de desarollo y ahi instala las dependencias necesarias. \n",
    "\n",
    "\n",
    "    ~/$ cd notebooks\n",
    "    ~/notebooks/$ git clone https://github.com/tian2992/notebooks_dateros.git\n",
    "    ~/notebooks/$ cd notebooks_dateros/\n",
    "    ~/notebooks/notebooks_dateros/$ \n",
    "    ~/notebooks/notebooks_dateros/$ virtualenv venv/\n",
    "    ~/notebooks/notebooks_dateros/$ source venv/bin/activate\n",
    "    ~/notebooks/notebooks_dateros/$ pip install -r requirements.txt\n",
    "    ~/notebooks/notebooks_dateros/$ cd 01-Intro\n",
    "    ~/notebooks/notebooks_dateros/$ 7z e municipal_guatemala_2008-2011.7z\n",
    "    ~/notebooks/notebooks_dateros/$ jupyter-notebook\n",
    "    \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Primeros pasos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "9\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## En Jupyter Notebooks existen varios tipos de celdas, las celdas de código, como esta:\n",
    "print(1+1)\n",
    "print(5+4)\n",
    "6+4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Y las celdas de texto, que se escriben en Markdown y son hechas para humanos. Pueden incluir **negritas**, *itálicas* Entre otros tipos de estilos. Tambien pueden incluirse imagenes o incluso interactivos. E incluso Mates como en $ \\LaTeX $ con ecuaciones y todo...\n",
    "$$\n",
    "\\begin{align} i\\hbar\\frac{\\partial}{\\partial t} \\Psi(\\mathbf{r},\\,t) = \\hat H \\Psi = \\left(-\\frac{\\hbar^2}{2m}\\nabla^2 + V(\\mathbf{r})\\right)\\Psi(\\mathbf{r},\\,t) \\end{align}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "pd.set_option('precision', 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con estos comandos, cargamos a nuestro entorno de trabajo las librerias necesarias."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Usemos la funcion de pandas ```read_csv``` para cargar los datos. Esto crea un ```DataFrame```, una unidad de datos en Pandas, que nos da mucha funcionalidad y tiene bastantes propiedades convenientes para el análisis. Probablemente esta operación tome un tiempo asi que sigamos avanzando, cuando esté lista, verás que el numero de la celda habrá sido actualizado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2728: DtypeWarning: Columns (19) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "muni_data = pd.read_csv(\"municipal_guatemala_2008-2011.zip\", \n",
    "                        sep=\";\",\n",
    "                        compression='zip',\\\n",
    "                        error_bad_lines=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANNO</th>\n",
       "      <th>ADMINISTRACIÓN</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DEPTO</th>\n",
       "      <th>MUN</th>\n",
       "      <th>FUNC1</th>\n",
       "      <th>FUNC2</th>\n",
       "      <th>FUNC3</th>\n",
       "      <th>ECON1</th>\n",
       "      <th>ECON2</th>\n",
       "      <th>...</th>\n",
       "      <th>ORIGEN2</th>\n",
       "      <th>ORIGEN3</th>\n",
       "      <th>PROGRAMA1</th>\n",
       "      <th>PROGRAMA2</th>\n",
       "      <th>PROYECTO1</th>\n",
       "      <th>PROYECTO2</th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.137,400.00</td>\n",
       "      <td>Q.137,400.00</td>\n",
       "      <td>Q.137,400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>22 Ingresos Ordinarios De Aporte Constitucional</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>31 Ingresos Propios</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.240,000.00</td>\n",
       "      <td>Q.49,588.00</td>\n",
       "      <td>Q.49,588.00</td>\n",
       "      <td>Q.49,588.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>42 Préstamos Internos</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ANNO ADMINISTRACIÓN   MUNICIPIO         DEPTO         MUN  \\\n",
       "0  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "1  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "2  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "3  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "4  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "\n",
       "                        FUNC1                                      FUNC2  \\\n",
       "0  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "1  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "2  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "3  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "4  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "\n",
       "          FUNC3                 ECON1                      ECON2  \\\n",
       "0  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "1  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "2  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "3  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "4  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "\n",
       "        ...                                                ORIGEN2    ORIGEN3  \\\n",
       "0       ...                        21 Ingresos Tributarios Iva Paz  No Aplica   \n",
       "1       ...                        21 Ingresos Tributarios Iva Paz  No Aplica   \n",
       "2       ...        22 Ingresos Ordinarios De Aporte Constitucional  No Aplica   \n",
       "3       ...                                    31 Ingresos Propios  No Aplica   \n",
       "4       ...                                  42 Préstamos Internos  No Aplica   \n",
       "\n",
       "   PROGRAMA1  PROGRAMA2  PROYECTO1  PROYECTO2        APROBADO       RETRASADO  \\\n",
       "0  No Aplica  No Aplica  No Aplica  No Aplica          Q.-      Q.137,400.00    \n",
       "1  No Aplica  No Aplica  No Aplica  No Aplica          Q.-             Q.-      \n",
       "2  No Aplica  No Aplica  No Aplica  No Aplica          Q.-             Q.-      \n",
       "3  No Aplica  No Aplica  No Aplica  No Aplica   Q.240,000.00     Q.49,588.00    \n",
       "4  No Aplica  No Aplica  No Aplica  No Aplica          Q.-             Q.-      \n",
       "\n",
       "        EJECUTADO          PAGADO  \n",
       "0   Q.137,400.00    Q.137,400.00   \n",
       "1          Q.-             Q.-     \n",
       "2          Q.-             Q.-     \n",
       "3    Q.49,588.00     Q.49,588.00   \n",
       "4          Q.-             Q.-     \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DataFrames y más\n",
    "\n",
    "Aqui podemos ver el dataframe que creamos.\n",
    "En Pandas, los DataFrames son unidades básicas, junto con las Series.\n",
    "\n",
    "Veamos una serie muy sencilla antes de pasar a evaluar ```muni_data```, el DataFrame que acabamos de crear. Crearemos una serie de numeros aleatorios, y usaremos funciones estadisticas para analizarlo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0   -0.29208\n",
      "1    0.60887\n",
      "2   -0.46073\n",
      "3    0.49752\n",
      "4   -1.87143\n",
      "Name: prueba, dtype: float64\n",
      "count    5.00000\n",
      "mean    -0.30357\n",
      "std      0.99465\n",
      "min     -1.87143\n",
      "25%     -0.46073\n",
      "50%     -0.29208\n",
      "75%      0.49752\n",
      "max      0.60887\n",
      "Name: prueba, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a247e3828>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bFdo2sUuyOHq9gPcP9M/S9vd06J+l7WYvdlkEQKVUYnZ8ELp72RomJtkEtyAI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\nERGRhDC4iYiIJITBTUREJCH/H6kM8/Wj5ZONAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a247e30b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "serie_prueba_s = pd.Series(np.random.randn(5), name='prueba')\n",
    "\n",
    "print(serie_prueba_s)\n",
    "\n",
    "print(serie_prueba_s.describe())\n",
    "\n",
    "serie_prueba_s.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con esto podemos ver ya unas propiedades muy interesantes. Las series están basadas en el concepto estadistico, pero incluyen un título (del eje), un índice (el cual identifica a los elementos) y el dato en sí, que puede ser numerico (float), string unicode (texto) u otro tipo de dato.\n",
    "\n",
    "Las series estan basadas tambien en conceptos de vectores, asi que se pueden realizar operaciones vectoriales en las cuales implicitamente se alinean los indíces, esto es muy util por ejemplo para restar dos columnas, sin importar el tamaño de ambas, automaticamente Pandas unirá inteligentemente ambas series. Puedes tambien obtener elementos de las series por su valor de índice, o por un rango, usando la notación usual en Python. Como nota final, las Series comparten mucho del comportamiento de los NumPy Arrays, haciendolos instantaneamente compatibles con muchas librerias y recursos. https://pandas.pydata.org/pandas-docs/stable/dsintro.html#series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    0.10866\n",
      "1    0.11014\n",
      "2    0.02647\n",
      "3   -3.46728\n",
      "4   -0.12676\n",
      "Name: prueba 2, dtype: float64\n",
      "0    0.10866\n",
      "1    0.11014\n",
      "2    0.02647\n",
      "Name: prueba 2, dtype: float64\n",
      "0   -0.47551\n",
      "1    1.32789\n",
      "2   -0.89500\n",
      "3   -2.47223\n",
      "4   -3.86963\n",
      "dtype: float64\n",
      "La suma de la serie y es: -6.384475154382741\n"
     ]
    }
   ],
   "source": [
    "serie_prueba_d = pd.Series(np.random.randn(5), name='prueba 2')\n",
    "\n",
    "print(serie_prueba_d)\n",
    "\n",
    "print(serie_prueba_d[0:3]) # Solo los elementos del 0 al 3\n",
    "\n",
    "# Esto funciona porque ambas series tienen indices en común.\n",
    "# Si sumamos dos con tamaños distintos, los espacios vacios son marcados como NaN\n",
    "serie_prueba_y = serie_prueba_d + (serie_prueba_s * 2)\n",
    "print(serie_prueba_y)\n",
    "print(\"La suma de la serie y es: {suma}\".format(suma=serie_prueba_y.sum()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pasemos ahora a DataFrames, como nuestro muni_data DataFrame. Los DataFrames son estructuras bi-dimensionales de datos. Son muy usadas porque proveen una abstracción similar a una hoja de calculo o a una tabla de SQL. Los DataFrame tienen índices (etiquetas de fila) y columnas, ambos ejes deben encajar, y el resto será llenado de datos no validos.\n",
    "\n",
    "Por ejemplo podemos unir ambas series y crear un DataFrame nuevo, usando un diccionario de Python, por ejemplo. Tambien podemos graficar los resultados."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      col1     col2  col3\n",
      "0 -0.29208  0.10866     1\n",
      "1  0.60887  0.11014     2\n",
      "2 -0.46073  0.02647     3\n",
      "3  0.49752 -3.46728     4\n",
      "4 -1.87143 -0.12676     0\n",
      "La suma de cada columna es: \n",
      "col1    -1.51785\n",
      "col2    -3.34878\n",
      "col3    10.00000\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a2e2407f0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XiG9yikcdgQkhhCdRqdVEL7yXfY8vpemjD/BJSsY/LV3pshxizDRma3cXHSUl\ntOdvPS4+URsWRuCP5qDPMeKTkCjNWAgh3IRGryf6/iXs//1vqVv5AnGPLkMXEqJ0WSPm0Y3Z0tlB\nR3GRPbHpuPjESPvqW7lGvOPiPfZeOCGE8HS+iYlE3HQLh954jdoXlxP74ENuPw/Ivas/CYvJZI9P\nzMujc0fZ0fjEmHFHE5vGjZdmLIQQHiJw7vl0VZTT/v0WGv72LhE33aJ0SSPiEY3Z3NaGqTAfU34+\nnbt2HB+fmJNrb8bRMQpXKYQQYjSoVCoi71hAT3U1rf/YgG9yMobcaUqXNWxu25j7WlrstzXl59FV\nvvtofGJC4sAKXF4REp8ohBBjgdrHh+jFD9jDLla/gvf4WLwio5Qua1jcqjH3NTb0r76VT3dlhf2L\nR+ITc3LR5xjRhUp8ohBCjEXeMeOIvHMBdS+9yMEVzxP38G9Qe3srXdaQuXxj7q2vw5SfR3t+Hj37\n9tq/OBCfaESfnSvxiUIIIQAImDGTrvJy2jZ+xaHX1xG54G63m1Pkko2552DNQDPuPbDf/kWNBr/0\nDPtp6uwciU8UQghxUuE33UL33ioOf/sffFNSCDz3R0qXNCQu0ZgH4hML8jDl5dFbVwv0xydmZqHP\nnYY+a6rHrYcqhBDC8dQ6HTH3L2bf449x6PV1eMdPwCcuXumyBm1EjXn37t0sXryY+fPnc/vttw/p\nuTabjZ69VfZrxvl59DUcAkDl5WW/XpxrxD9zqsQnCiGEGDJdWDhRC+/h4P89S+2K54l7ZCkaP3+l\nyxqUYTfmzs5OnnjiCWbOnDno59jjEytp759NbW5uAvrjE6dNR587Df8pmW55sV4IIYRr0WdOJeTS\ny2n+7BPqVr9CzOKfuMX15mE3Zi8vL1566SVeeumlQT1+z8qXOfSf734Yn5hjxC89A7WX13BLEUII\nIU4q9Kpr6NpTSUdhAS1//4KQiy5RuqQzGnZj1mq1aIew7Fntp5+j9vcn4Jxz7VnGkyU+UQghxOhS\naTRE33M/+x5fSuPf3sUnIRG/1IlKl3VaKputf2WOYfrrX/9KcHDwGa8xtxYVE5CRjlqasRBCCCdr\nK9vOtt8sRRcYyNRn/4iXC99m67QuGTQ1i4aGdmdtzunCww0eOz5PHhvI+NydJ4/Pk8cGTh5fRCxh\n191A47tvs+1//8j4nz846mmC4eGGYT1PMg6FEEKMCcE/vhj/7By6du6g6YP3lS7nlIbdmLdt28a8\nefNYv35hKPaPAAAgAElEQVQ9a9euZd68ebS2tjqyNiGEEMJhVCoVUQvuRhceQfNnn2AqKVK6pJMa\n9qnsjIwM1q1b58hahBBCiFGl8fMnetES9v/uCepefon4Rx9DFxaudFnHkVPZQgghxhSfuHgibpuH\ntbODgy8sx9rXp3RJx5HGLIQQYswJOGc2AbPOoWdvFQ1vv6l0OceRxiyEEGLMUalURNw2D69x42nb\n+BWHN3+rdEkDpDELIYQYk9Te3sQsegC1jw/1a1+l52CN0iUB0piFEEKMYV5RUUQuuBtbby+1y5/D\n2t2tdEnSmIUQQoxthtxpBF14Eb11tdSvXc0IF8QcMWnMQgghxrzw627AJymZ9u+30Pb1PxWtRRqz\nEEKIMU+l1RJ932I0egOH3n6Trj17FKtFEiXED5gtVioOtFFS2URxZSNNh3vITAxhRlokmUmh6LQa\npUsUQgiH04WEEHXv/dT8+Y/UvvA88Y8uQ6PXO70OacwCgMOdvZRWNlFS2cS2qma6eswAeGnVBAf4\nkLergbxdDfh6a8hJCWdGeiST44PRjPIi8EII4Uz+aemEXnk1TR+up/bllYz7r/8e9bCLE0ljHqNs\nNhvV9SaKKxspqWyi6uBhjkx3CAv0YWZ6JFnJYUyKCyI6KpCCslo2b6/n+x31bNpWx6ZtdQT46Zg2\nKZIZaZEkjQtApVIpOiYhhHCEkMuuoKuinM5tJTR/9gmhl1/p1O1LYx5DunvNbN/bQkl/M2419QKg\nVqlIiQ0iKzmUzKQwYkL9jmuyKpWKuEgDcZEGrp+TRMWBNrbsqGfrjkP8s+AA/yw4QGiADzPS7E16\nfLi/NGkhhNtSqdVEL7yPfU8spenD9fgkJuGflu687ducOC9cckWd71BLJ8X9p6h3Vbdgttjfbr2v\njimJoWQlh5KeEIK/j+6Ur3GqsZktVnbsa2HL9nrydzfQ02sBICbMnxmTI5iRFklEsN/oDMyBXPW9\ncxQZn3tpM/VQVNFIYXkjtc2dnJ89jgunxXrkwa6rv3ddeyrZ//vfofHzI+7Rx9EFBw/p+cPNY5bG\n7CCusoOZLVbKD7QNfCqubeoc+F5chJ7M/k/FidEBqNWD+0UfzNh6+yyUVDaxZXs9xZVNmC1WABKi\nA5iRFsn0yREE6b2HP7BR5Crv3WiR8bm+uuZOCnc3UFDewJ6ao5eVvLRqes1WjBPDWXDpZHy9Pesk\npzu8dy1ffUnDG6/hk5xC7C//Hyrt4N+D4TZmz3qXx6jDHb2U7mmiuKKRsr3NdPXYP7l66dRMTQ6z\nN+PEUEICfEatBi+dBuOkCIyTIujsNlOwu4EtO+rZvreZqtrDvP3PcibFBzMjLZLcieGn/YQuhKez\n2mzsrW2nsLyBgt0NAwfQKhVMjAsiOyWc7JQwIiMDePKVzeTtauBAQwdLrslgXLjzZwmPZUFzz6e7\nfDftW7+n8W/vEn7TLaO+TfnE7CDOPPKz2mxU17dTUtFEcWUTe2uPn7iVlRRGVnIoE+OCHHJr00jG\n1tbRS97OQ2zZXk9FTRsAGrWKKYmhzEiLZGpyGN5eyt5+5Q5H7SMh43MNZouVndUtFO5upLC8YWCO\nh5dWTXpCCDmp4WQmhWLw8xp4Tni4gdq6Nv72r0o2fL8fL52a+ZdM4qy0KKWG4VDu8t5Zu7vY9+Qy\n+urqiF70AIZc46CeJ6eyFTbaO1hXzzETt/Y00XbsxK3xgWQlh5GZFEr0CRO3HMFRY2ts7WLLjnq2\nbD/EgQYTAN46DdkpYUxPiyQjIQStxvm3X7nLH4fhkvEpp6vHTOmeJgrLGympbBw4m6X31ZGVHEpO\nSjhpCSF4605+cHrs2PJ2HmLVZzvo7rVwfs54bjo/WZHfF0dy5ffuRD01NVT/dhkqjYa43yzFK/LM\nB0fSmBU2GjtYfUsnJRVNlFQ2smt/68DELYOffeJWZlIoGQkh+I3yaeHRGFtNg6m/SdfT0GpfNN7f\nR4txUgQzJkeSGheE2kmTXdzpj8NwyPic69jJW9v3Ng/83oYG+JCTGk5OahjJ4wMHtQbAiWOra+7k\n+fWl1DR0kBgTwOKrM0b1EtVoc7X37kwOb/6WupdX4jU+lrj/eQS1l9dpHy+NWWGO2MHMFivl+1sp\nrrSfoq5vPmbiVqSezP5T1AlRg5+45Qij+ctjs9moqm1n8/Y6tu44RFuH/UxAkN6L6ZPtt19NiDKM\n6oxUd/vjMFQyvtFX39xJQXkDhbsbqaxpG7i0FBehJzvVfr04NkI/5P34ZGPr6bWwZsNONpfVo/fV\ncd9V6aRPCHHQSJzLFd67oapft4a2f31NwDnnEjX/7tM+Vhqzwoa7g7V19A7MoC6raqa7/5Yjb52G\ntAnBZCWHMSUxlGCDcjOanfXLY7Xa2FXdwpYd9eTtbKCzf/WxyGDfgXuko0P9Hb5dd/zjMBQyPsez\n2mzsq2unYHcDheWNHGzsAPonb8UenbwVFuQ7ou2camw2m42NhTW88WU5VquNq89N4LJZE5x2lslR\n3HHftPb1sv+p39Gzby+R8+8i8JzZp3ysNGaFDXYHO/ILXVJpP0VdVXv0OeFB9olbmcmhTIwNRqd1\njetHSvzy9JmtbKuy335VVN5Ir9l++1VchJ4Z6ZHMmBzpsFN47vjHYShkfI5htljZVd1KQXkDReWN\ntLT3AKefvDVSZxrbnoOHWf5BKc2He8hMCmXh5Wnofd3njgd33Tf7GhrY98RSbH19xD78G3zi4k/6\nOGnMCjvdDmafuNVMcWUTpZVNA6drNWr7xK0jp6ijQhw/ccsRlP7l6e41U1TeyJbt9WyrasZite+y\nKeMDOSstktxJEQSM4I+h0uMbbTK+4evqMbOtqpnC3Q0UVzYNrCHv76NlanIY2anhpJ9m8tZIDWZs\n7Z29rPx4O2VVzYQF+rD4mgwmRAWMSj2O5s77pqm4iIN/fRZdeARxjzyGxu+HiylJY1bYiTtYfbN9\nxa3iikZ2728daCYGPx2ZiaFkJoeRPiEEPx/Xv5XclX55TF195O06xPfb69lV3YoN+8z0tIRgzkqL\nJDslfMiLMLjS+EaDjG9oTjd5Kzs1jJyUcFJiBzd5a6QGfSbOauOjTVV8vGkvGo2a2y5MYXZWjEse\n6B/L3ffNxvffo/mzT9Bn5xK9+IEf/LxlgRGF9Zmt9k/F/bOo61u6Br4XH2kgMymUzORQEqID3O46\nkCvR++qYM3Ucc6aOo6W9h+/7Z3Zv29PMtj3N6LS7yEoKZUZaFJlJIRJRKQblVJO3YiP0ZKeEkZMa\nPqzJW86iVqu4+txEEmMCeenjMtZ8sYuKmjZu//HEUfs0LyD0qmvoqqzAVJhPy9+/IOSiSxzyuvKJ\neQTaTD3914qb2L6vZeA0l7dOQ3pCCJlJoYpP3HIEdziqrW/uZMv2erbsqB9YRcnXW0NOajgz0k4f\nUekO4xsJGd8PnW7yVur4oIGZ1OEjnLw1UsMZW2NrF89/sI19de3ERuhZfE0GkS66Zr0n7Jvmtlb2\nPb4US3s7sQ8+hG9K6sD35FS2Exz5ZS6usM+i3lt3dDzRof6kJwSTlRRGamyQy0zccgR3+uWx2Wzs\nP2QaiKhsPmyfoHO6iEp3Gt9wyPjslJi8NVLDfe/6zBbe/LKcjUUH8fXWsvCyyWSnho9ChSPjKftm\n5+5dHPjj79EYAoh/dBnawEDADRrzLz5/fCDY4ERnLOAMJZ55AGd6/qm/b7NCT59l4H/W/lpUgE6r\nwVunxkunwdtLg8Vlx3emzZ/+EVqNGpVNjVatRavW2P9fpe3/98m+phn4nk51/L8H/qc68Wuagefr\nTviaRq1BrRr6gY7VZjsuotLU1QfYly2dPjmSs9IiGR+h95g/Dqcylsen9OStkRrpe7eptJZ1G3bR\na7ZyyVlxXDs70SnXxgfLk/bN5i8+o/G9d/CdNJnxP38QlVrt/GvMzz77LJs3b6a3t5dly5YxZcqU\n0z6+pfvwaRuAipFduznj88/47aMPsFpt9FmsmM3WgYkfACo1eGvVaDVqdBo19g9dVqxY6bFYsFpO\nM74RXpsa8c/nNNtXqU7/6jagx9KDua8Ds9WM2WbBajv5Qcho0ag0Zzwo0J1wUKDtPyjwmaDlRxM0\ntLb3UdvQTU1DFxuqdrKhUk2wvy/pieFMCA8k1OB30gOFk21HrVK77PXGse50k7fOnhLl1MlbSjt7\nSjRxkQaeX1/K55urqTp4mPuuyiDQ33XOCniK4IsuoauinI6iQpo+Wk/Y1dcN+7WG9Yl58+bNvPzy\ny7z88svs3r2bZcuW8frrr5/xea56ZGS2WNm1v3XgFPWhYyduRRnISgolKzmM+CjDKSduedKR34lO\nNjarzWpv0lYzfVZLf8M2D3zNfJqv9dlOeMzA44759ym+1mc74TFWy8A2nEmFCq1ag+YkZwR0pzkb\ncKbGrzvJWYeTnYk4enbh6NdOdVbBk/dNsI9v2656t568dSqOeu86u8288ul2CssbCdR7seiqDFJj\ngxxQ4ch42r5p6eyg+vHH6GtsIOa/fkbC+ecM63WG9Yl5y5YtnH/++QCkpqZy6NAhurq68PVVdqLE\nULQeM3GrbG8zPUdW3PLSkNt/rWlKUqjLZggrTa1S46XxwkvjGkfeNpsNy0DTthx3QND3gwOAow2/\ns6eXg60mduxroK7FBCorKrWVkEAvIkN9CAnUgco6cKbgVAcFZquZPksvXX1dAwcUFpvFqT8DtUr9\ng0sEOrWWcxOmMyditts1pdM5dvJWyZ5m9tfb/7irVJAa6zqTt1yFn4+WB66dwobv9/Pexkr+8EYh\nN85N4sJpsR61XyhN4+dP9OIH2P+7J6h7eaVzG3NDQwOTJk0a+HdISAiNjY3ExsYOqwhnOJJ/WlLZ\nSHFFE/vqjx6lRQb7kplpX3ErdbxnTdwaK1Qq1cCnyKEKN9qP2o+LqCxrox77IjCZSfaIyqzksCFd\ni7TarFgGmnf/2YLTniE4sfHbH9N32jMRpz7o6LOaae1p472yT+nrtvLj+LlD/tm4ktNN3spOCSM7\nJZysZNeavOVKVCoVF8+IIyHawIoPy3jrqwoqatpYcOnkId/7L07NJy6eiFvnUb929bBfY1jvhk53\n/JJvNpttUEddw70QPlwdXX0U7W7g++11FOw8RKvJ/ous1ajISgnDODmKaWmRDgsed/b4nMmTxwb2\n8YWHQ/KEUG6+eDL1zZ38u/AA/y6sobDcfr3Sx0vDWRnRzM4eR/bECLeI3GvuauXXX/6BDys/Jz48\ninPipytd0pB0dvdRsOsQm0vryNtRR0e3/ZKFwU/HecZYzsqIJjs1HB8PbiyO/t0LDzeQlhLBH9bl\nkbergdrmLh6eP414hVYL88S/LWHXXobW1DLs5w/rGvPy5csJCgri1ltvBeCCCy7gk08+wcfn9GsX\nj/a1BJvNRl1z58AiH+UH2gZW3Arw9yIzMZSs5FDSJoQ4/AjR066VHMuTxwZnHt/pIirPSoskJdZ5\nEZXD0aU7zCP//CO9lj4emLqQ1OAkpUs6rbaOXorKGwa98pYn75+jOTazxcr7/9rDF99X46VTM//i\nSZyVfuaMYUfy5PcOnLzy1+zZs/nzn//MrbfeSllZGbGxsWdsyqOlz2xl1/6W/tziJg61Hp24NSHK\nQFZyGJlJoaeduCXE6YwL13NtuJ5rzk08LqLyX0UH+VfRQYIN3kybFMFZ6ZHER45uROVwxAWN494p\nd/Bc0SusLF3Dz3MWE6N37h/gM3H3lbfckVaj5sbzkkmMCWDVZztY+fF2KmsOc9P5yW5xNsiTDfs+\n5qeffppvv/0WjUbDb3/7WyZOnHjG5zjqyKilvYfSPfZ1qLfvbaGnzz7Jxsfr6IpbmYmhBDpx4pYn\nH/l58thgmCtH9UdUbt5eT/4u50VUDseR8X1fV8Ca7W8R7B3EL41LCPIOVKwmR6685cn7p7PGVtfc\nyfPrS6lp6CAxJoDFV2c4LL3tdDz5vesydxEXHTGs57rFyl9Wm42q2sOUVDRRXNlIdb1p4HuRIX5k\nJYWSmRRKamyQYkd6nryDefLYYOTjO2VEZaTe3qQdGFE5HMeO74u9X/Hxni8Yr4/hZzn346N1Xl2n\nmryl06rJSAgZ9uQtT94/nTm2nl4Lazfs5LuyevS+Ou67Mp30hJBR3aanvnetPW08k7+cF6763bCe\n77KNubPbzLYq++np0j1NtHfaV23SqFVMjAuyRyUmhRIZ4hprwHrqDgaePTZw7PhOFVGZOj6QGWmR\nGCdFOH3W8LHjs9lsvLnrfTYd3MLkkFQWZS5Aox69Va8GtfLWhBC8vYZfgyfvn84em81mY2NhDW98\nWY7VauPqcxO4bNaEUbsM6InvXUdfJ38qWEFdRz3v3LRiWK/hMlMZbTYbtU2d/fcWHz9xK9Dfi3My\no8lKCiNtQrBM7Rcuy8dLy1npUZyVHvWDiMrdB9p4/R/lpCeEMCMtYlgRlSOlUqm4KfVqWnvaKGva\nyVu73ufWSdc79Nrt6SZvjbWVt9yNSqVibs544qMCWPFBKeu/qaLy4GEWXp6G3ld35hcY43osvawo\nXkVdRz1zxw/vHmZQ+BNzn9nCrupWivub8ZEZrwAJ0Qaykuz3FsdFuv7ELU888jvCk8cGzhnfsRGV\nR8JPdFo1WclhzJgcOaoRlScbX7e5h78UvkB1ew2XJ/yYSxIuGNE2lJy85cn7p5Jja+/sZeXH2ymr\naiY0wIcl12YwwcG3VHnSe2e2mnmxZA3bm3cxLTKHO9JuJDJiePM4nN6YW9p7Bhb52L6vmd4++/U4\nX28N6RNCyEwKY0pSqNut5epJO9iJPHls4PzxHYmo3Ly9nrrmIxGVWnL7IyonxQc59NPkqcbX1tPO\nH/Ofo7m7hXmTb+SsaOOgX9Nms7HXRWITPXn/VHpsVquNjzZV8fGmvWg0Km67MJXZWTEOO8BSenyO\nYrVZWbP9LfLqi0gPncR9U+5Eo9a4frrUa5/v4LuSg1QfOjpxKyrEj8z+dahTxge69RR9T9nBTsaT\nxwbKjc9ms1Fdb79H+gcRlZP7IypjAkb8R/B046vrqOeZ/OV0W3pYknU3k0JSTvk6ozV5a6Q8ef90\nlbGV7mli5UdldHSbOTsjitsvmuiQRC5XGd9I2Gw23i3/iH8d2ERiYDw/mXrPwFLFLt+Yr/jFh2g1\nKibGBpGZbJ+4FeGi4d3D4Qk72Kl48tjANcY3EFG5vZ6tO4+PqDwys3t8xPBWqDvT+Cpaq/hr4Uq0\nai0/z13MOH30wPecMXlrpFzh/RstrjS2xrYulq/fxt66dsaH61lybQaRI/wb7krjG67Pq77kk6q/\nE+Mfxc9y7sdPd/Rn4vKN+bvSWsaH+ODj5ZkTtzxhBzsVTx4buN74zBYrO/a1sLnMnph0JGBlXJg/\n0/vvkY4YwiniwYwvv76IVWVvEOQdyH2T76WqunfQK28pzdXeP0dytbH1ma28+c9yNhbW4OutYeFl\naWSnhg/79VxtfEP17wPf8fbu9YT6BPPz3MU/WBvA5RszuG7soyO4+w52Op48NnDt8fX2WSipbGLz\n9npKKpswW+xzMhJjApiRFsn0SRFnXEhnMOOrb+7k3bIN7Oj7Dmunnp4dM8Cic4uVt1z5/RspVx3b\nptJa1m3YRa/ZyiUz4rj2R4nDOlBz1fENRn59MavL3kCv8+fnuYuI8PvhAYpTl+QUQjiHl06DcVIE\nxkkRdHabKdjdwJYd9Wzf28yeg4d565/lTIoLZkZaJLkTw/H3GdwtLSefvBWALj4ObWQ1sdN3cf+U\nBUSHeF7AgBi5s6dEEx9p4Ln1pXy+pZqq2sPcd2W6U1dbVNKO5t2s2f4W3hovlky9+6RNeSTkE7OD\nuPOR35l48tjAPcd3XERlTRtgT02bkvjDiMoj4xvM5K0pScG8WfkWpY3bmRGVy7zJN7rkp+RjueP7\nN1iuPrbObjOrPttBwe4GAvVeLLoqg9TYoEE/39XHdzJ7D1fzl8KVWG1WlmTdfdpQGDmVrTB33MEG\ny5PHBu4/vsbWrv70q0McaLDf9eCt05Cdar9H2tfPm4151YOevNVr6eXZwhfZd3g/l0w4n8sTL1Jk\nXIPl7u/f6bjD2Gw2Gxu+3897GysBuHFuEhdOix10FLCrj+9YdR31/KlgBZ19XdwzZR5Z4Rmnfbw0\nZoW52w42FJ48NvCs8Z0sovKIoUzeau818ce852jsbubWSddxdsyM0S592Dzp/TuRO41tV3ULKz4s\n43BHL8aJ4Sy4dPIZV7Zzp/G1dLfyx/znae1p47ZJ1zMr5szZ5tKYFeZOO9hQefLYwDPHZ7PZ2FN7\nmPxdDQQH+jJxXMCQJ2/VdzbwTP7zdJm7uT9zAemhZ06QU4Invn9HuNvYWk09vPDBNnYfaCMqxI8l\n12QwLvzUt/m5y/hMvR38qWAF9Z2HuCrpEn4cP3dQzxtuY3aN+x2EEA6lUqlIignkxrnJ3HrRJOKG\nkRMd6RfO/Znz0ajUvLJtHfvba0apWuEpgvTe/PKWbC6eHkddcydPrM1jc1md0mWNSLe5h+Ulq6jv\nPMT5sbO5MG7OqG9TGrMQ4pQSAycwP+0Wei19LC9eRVNXi9IlCRen1ai58bxkllyTgVqlYuXH23nt\n77vo649DdSd9VjMvla5l3+H9zIjK5Zrky5wyGVIasxDitKZGTOG6lCs43NvO8uJX6OzrVLok4QZy\nJ0bw6PxpjAv356uCGn7/RgHNh7vP/EQXYbVZWbv9LXa2lDMlbDK3OTiF7XSkMQshzmhu7DnMjT2H\nus5DrCxdS5/VrHRJwg1Ehfjxm3lGZqZHsufgYR5bvZWyqmalyzojm83GO7s/pOBQCUmBCdyVfvuo\n5pafSBqzEGJQrk2+nKnhUyhv3cNrO97BanO/U5PC+by9NCy8PI15F02ku9fMn94u4qNNVVidN+94\nyD6r+gff1HzHOH0092fOx0vj3CxqacxCiEFRq9TcmXYziYHx5NUX8fGeDUqXJNyESqVibvY4Hrot\nl5AAbz74poq/vFtCe2ev0qX9wMYDm/hs75eE+YSwJOtu/HSjH116ImnMQohB89LouG/KfCJ8w/j7\nvq/5puY7pUsSbiQxJoBH508jIyGE0j1N/PefNrK37rDSZQ3Iqyvkvd0fYfDS88DUewj0DlCkDmnM\nQogh0Xv5szjrbvQ6f97e9QGljduVLkm4EYOfF/99QxZXnZNAQ2sXv1uXz8aiGpy4pMZJbW/axZod\nb+Ot8WZJ1kLC/UIVq0UasxBiyML9QlmUtQCtWsuqba+z7/B+pUsSbkStVnHVOQksXXgW3joNa7/Y\nxapPd9DTZ1Gknqq2fbxUuhaNSs39mfOJNcQoUscR0piFEMMyISCOu9Jvpc9qZkXxahq7mpQuSbiZ\n3EmRLF0wjQlRBjZtq+O3a/Opb3Hu7Xi1HfWsKF6N2WbhrvTbSAlOdOr2T0YasxBi2DLD07kx9Sra\n+0w8X/wKpr4OpUsSbiYs0JeHb89lbvY4DjSYePzVrRTsbnDKtpu6Wniu6GU6zJ3cOul6MsPTnbLd\nM5HGLIQYkdnjZ3Fh3BwOdTbyYska+ix9Spck3IxOq2beRRNZePlkLBYbz71fyrtfV2Cxjt4tee29\nJp4rfonWnjauSb6MmdHGUdvWUEljFkKM2JVJF5MbkcWetr2s2fG23OMshmVWRjS/ucNIZLAvn2+p\n5pm3imgz9Th8O93mbpYXr+JQZyMXxs3hgrgfOXwbIyGNWQgxYmqVmnlpN5EclEDhoRLWV3yqdEnC\nTY2P0PPIndPISQ1nZ3Urj726ld37Wx32+n1WMy+WrqW6/QAzo6dxVdIlDnttR5HGLIRwCJ1ay31T\n7iTKL4Kv9n/D1/v/o3RJwk35+WhZck0GN85Npr2jjz+8Ucjfv68e8S1VVpuVV8veZHdLBVlh6dwy\n8VqnrX89FMNuzN9//z0zZ87k66+/dmQ9Qgg35qfzY3HWXQR4Gfhb+ccUNWxTuiThplQqFRfPiOPB\nW6Zi8NPx1lcVrPhgG109w1un3Waz8dau9RQ1lJISlMiC9Fuduv71UAyrMVdXV7N69WpycnIcXY8Q\nws2F+oawKGsBOo2OV8veYE/bPqVLEm5sYlwwSxdMI3V8IHm7Gnh8TR4HGkxDfp1P9mxg08EtjNfH\ncF/mneicvP71UAyrMYeHh/Pcc89hMBgcXY8QwgPEGcazMON2LDYrL5Ss5lCnc25/EZ4pSO/NL2/J\n5uLpcdQ3d/Lk2jy+K6sb9PO/3v8fvtj3FeG+oSyZeje+Wuevfz0UKtsITto/9NBDXHTRRcydO9eR\nNQkhPMSXlf9hZd7rROrD+e35DxLgIwfzYmS+LTnIs28V0tVj5rKzE7j7ynR02lOfkv733i08t+VV\ngn0CeeL8XxKhD3NitcOjPdMD3n33Xd59993jvvaTn/yEc889d8gba2hoH/Jz3EV4uMFjx+fJYwMZ\n32jKCsji4vhavtj3FU9+/Rw/zb4XL42XQ7fhye+fJ48Nhje+lGgDj9xp5Pn1pXy6qYrte5pYfHUG\noYE+P3jstsYdvFi6Fl+tL4sy70LV5U1Dl/N+nuHhwzsQPWNjvuGGG7jhhhuG9eJCCHF54kU0dbey\ntb6AV8veZOGUeahVckOIGL6oED9+M8/I2g07+a6snmWvbuXeK9PISDgaPFHZupeXt72GRqVhUeYC\nxumjFax4aOS3QwgxqlQqFbdPvp7U4GSKG8t4r/xjxZOEhPvz9tKw8PI05l00ke5eM39+u5iPNlVh\ntdmoMdWyomQ1FpuFhRm3kxQ0Qelyh+SMn5hPZuPGjbzyyivs2bOHsrIy1q1bx6pVqxxdmxDCQ2jV\nWu6dMo8/5a/gXwc2EeIT5HKrLQn3o1KpmJs9jglRBpavL+WDb6rYWXuQ5siv6DJ3cWfazWSETVa6\nzCEbVmOeM2cOc+bMcXApQghP5qv1ZXHWXTyd9xzrKz4lxCeYnIhMpcsSHiAhOoClC6az/OM8qvw2\noJXJOGYAABm4SURBVO7rZG7khUyPcs9beuVUthDCaYJ9glicdRc+Gm/WbH+LitYqpUsSHkKjM2OZ\nsAW1Tyfmg4n8/TMtG4tq3PKyiTRmIYRTjTfEsDBjHlablRdLXqWu45DSJQk312fp48WSNRwwHeTs\nmBk8MPN6vHUa1n6xi1Wf7qCnz6J0iUMijVkI4XSTQ1O5ddL1dJq7WF78Cod7PfeWIDG6LFYLq8ve\noLx1D1PDp3DzxGuYkhTG0gXTSIg2sGlbHb9dm099c6fSpQ6aNGYhhCJmRhu5NOFCmrpbWFG8mh5L\nr9IlCTdjX//6fYoby0gNTmZ++i0Dt+KFBfry0G25zM0ex4EGE4+v2UrBbvdYgU4asxBCMZdOuICz\noo1Utx9g1bbXsFjd65SjUNaHlZ/zbe1W4gzjuG/KHejUx89n1mnVzLtoIgsvn4zFYuO590t59+sK\nLFbXzguXxiyEUIxKpeLWidcxOSSVbU07eaf8Q7ecrCOc78vqf/GP6o1E+IWxOOtufLQ/XPnriFkZ\n0fzmDiORwb58vqWaZ94qos3U48Rqh0YasxBCURq1hrszbmecPpr/1GzmH/s2Kl2ScHGba/NYX/Ep\nQd6BPJB1DwYv/RmfMz5CzyN3TiM3NZyd1a089upWdu9vdUK1QyeNWQihOF+tD4uz7iLYO4gP93zO\n1rpCpUsSLqq0cTuv73wPP60vS7LuJtQ3eNDP9fPRsviaDG6cm0x7Rx9/eKOQv39f7XJnaaQxCyFc\nQpB3IIuz7sJX68O6He+wu6VC6ZKEiylv2cMr215Dq9KwOOsuYvRRQ34NlUrFxTPiePCWqRj8dLz1\nVQUrPthGV495FCoeHmnMQgiXEaOP4t4pdwCwsnQtB02Dz9wVnu1A+0FeKHkVi83Kwil3kBAYP6LX\nmxgXzNIF00iNDSJvVwOPr8njQIPJQdWOjDRmIYRLSQ1O5vbJN9Bl7mZ58Spae9qULkkorKGzieeK\nX6bH0sOdk28iPXSiQ143SO/Ng7dM5eIZcdQ3d/Lk2jy+K1P+YFAasxDC5UyPyuGKxItp6WllRfFq\nus3dSpckFNLWc5jnil6ivdfE9alXYozKdujra9RqbpybzJJrMlCrVLz08XbW/X0XfWblbqmSxiyE\ncEkXxc/l7JgZHDAd5GW5x3lM6uzr4vniV2jsbuaSCRcwZ/zZo7at3IkRPDp/GuPD/fm6oIanXi+g\nqU2ZA0JpzEIIl6RSqbgp9WrSQyexo3k3b+563+Vmz4rR02vp44WSV6kx1XLuuJlclnDhqG8zKsSP\nX99hZGZ6FFW1h1n26la2VTWN+nZPJI1ZCOGyNGoNd6XfRpxhHN/VbuWLvf9UuiThBBarhVVlr1PZ\nVkVORCY3pl6FSqVyyra9dRoWXj6ZOy6aSHevmT+/XcxH/6nC6sSDQmnMQgiX5qP15v7Muwj1CeaT\nqr+zuTZP6ZLEKLLZbLyx82+UNm5nUnAKd6TdPLD+tbOoVCrmZI/j4dtzCQnw5oP/VPGXd0swdfU5\nZfvSmIUQLi/Q28DirLvw0/ry+s732NG8W+mSxChZX/kpm+vyiDfEcs9J1r92poToAJYumE5GYgil\ne5pYtnorVbWHR3270piFEG4hyj+S+zLno0bFy6XrqDHVKl2ScLB/7NvIP6v/TaRfBIuz7sJH6610\nSeh9dfz3DVlcfU4CzYe7+d/X8tlYWDOq8x2kMQsh3EZyUAJ3pN1Et6WH5cWraOl2zbWOxdB9e3Ar\nH1R+Zl//eurd6L38lS5pgFql4spzEvjZjVl46zSs3bCLVz7dQU/f6NwpII1ZCOFWciOnck3yZbT2\ntLG8eBWdvV1KlyRGqLhhG2/sfA9/nR8/mbqQEJ/Br3/tTBmJoSxdMI2EaAPfbqvjt2vzqW/udPh2\npDELIdzO+bGzmT1uFgc76njm2xcxW11nnWMxNLtbKllV9gY6jY7FWXcR5R+pdEmnFRboy0O35TI3\nexwHGkw8vmYrBbsbHLoNacxCCLejUqm4IfVKMsPSKa3f9f/bu9OgKO51DeDPLAyLIOsAIuASRAUB\nt8Qbo8Ylmk2NMZIYApFFg0KSupWbnJhTeiunTnnLLDfXKgwqiiIuUSDRmFgmcU1iVFyibCqIGyAi\ni4OsMsPQ94MJFc5RwGGcnm6e3yfpnul+Xl5rXqah/4PtF7/mPc4SdFVXinW5aRAEAW+FvImBff3F\njtQtNmolop4dikUzg2A0Clj9TR4yDxfD2Gae1cI4mIlIkpQKJWKCX0eA20BkV5zB91d/EjsSPYTK\npir8z89JaDHqsSBoPoa7BYod6aE9OcIby94cCy9Xe+zLLsHnX53DnYaWHh+Xg5mIJEuj0uDDiUvg\nYeeGH64dxG/l2WJHom6obbmD1ec24E5LPV4NnIMxXmFiRzKZr6cj/jv6cYwJ1KKwtBYfp51CUWnP\n/iiRg5mIJM3Zri8SR8ahj40DdhTuQkHNRbEjUSeaDE348lwqau7q8OqImZjk+6TYkXrM3laNhJdH\n4NUpAahvNODT7Wfx48kSk4/HwUxEkufpoMXi0BioFEpsyN+KkvoysSPRfeiNeqzJTUN5YwWe9h2P\nV4JeEDuS2SgUCjw3zh9/ixgFJwcb7DxUbPKxOJiJSBYGOw9AdNDrMBgNWJOzCTXNOrEj0V8Y24zY\nkL8VV+5cw1ivkZg3ZLbF1r+2pEA/F3wc8zhGDHIz+RgmDWaj0YiPPvoIERERmDdvHk6ePGlyACIi\ncxnpGYJXhsxCnb4eyTmpaDKY/x5TenhtQhu2XMhEQc1FDHcLRNTwVy2+/rUlOTva4r3XRpr8fJO+\nM9999x1sbW2xfft2rFy5EitXrjQ5ABGROU3xm4ApfhNQ0VSJlLx0GHiPs6gEQcA3xd/j1K3fMaiv\nPxaFvAm1iOtfS4FJg/mFF17Ahx9+CABwdXVFY2OjWUMREfXE3ICZGKkNwaXaK9h6IQNtgnnuL6WH\n9+P1wzhcehTefbywJCwWtiqN2JGsnkmDWaPRwN7eHgCwefNmzJw506yhiIh6QqlQYkHQfAx2HoDT\nt85hz+UfxI7UKx29cQLfXfkBrrYueDvs3l/OU9cUQhfL5WRmZiIzM7PDtnfeeQcTJ07Etm3bcPDg\nQaxduxYaDX8KIiLrUtfSgOUHPsPNhkosHDMfMwKeFjtSr3Gi9Hf83/ENcNT0wT+nvQ8fJ+teatOa\ndDmYHyQzMxN79+7F2rVrYWdn163nVFXVm3IqSdBqnWRbn5xrA1if1HVVX1VTDT4/sxqNhibEhy5A\niEeQBdP1jFR7V3i7GMk5qVApVfjPUYvh39f3vo+Tan3dpdU6mfQ8ky5ll5aWYvv27UhOTu72UCYi\nEoPWwR1LwmKgVqqxMX8brteVih1J1q7XlWJdXhoAID4k+oFDmR7MpMGcmZmJuro6xMfHIyoqClFR\nUdDr9ebORkRkFgP7+iM2OAKGtlasydmE6uYasSPJ0q3GSiTnbITeaEB0cASGugWIHUmSTL6UbQq5\nX7KQa31yrg1gfVL3MPX9UnYMO4t2w9PBA/81JhGONn0ecbqekVLvdHdr8b9nkqFrqUXE0FfwVP9x\nXT5HSvWZwqKXsomIpGiS73hM95+MyqZqrMvdDL3RIHYkWWgwNGJ1Tip0LbWYNfi5bg1lejAOZiLq\nVWY/9hzGeIbhyp1rSD+/g/c491CLUY+1OZtQ0XgLU/wm4NkBU8SOJHkczETUqygVSkQFvYYAl0E4\nW5WHXcV7xY4kWa1trVifl46rdSV43Gs05gbMlOX615bGwUxEvY6NUo34kAXwdvDEodJfcbj0qNiR\nJOfe+tcZuHC7CCPchyFqeLis17+2JH4XiahXcrBxQEJYLPpqnPD1pe9wripf7EiSIQgCsi7twelb\n5zDYeSDiRkRCpVSJHUs2OJiJqNdyt3fDkrAY2KhskFawHVfuXBc7kiTsu3YAP5cdg08fbywJjYaG\n61+bFQczEfVq/k6+WDgiEkahDWtzN6GyqUrsSFbtl7Lj2Ht1P9ztXJE4Mg4OXP/a7DiYiajXC3Yf\nhvmBL6PR0IQvczaiXt8gdiSrdOZWDjKKdsPJxhFvj1wEF1tnsSPJEgczERGAp/qPw3MDpqK6uQZr\nc9OgN3I1w7+6UFOEzed3wFZli8SRcfB08BA7kmxxMBMR/WHm4GfxhPdoXKsrwaaCr3iP8x+u1ZUg\nJT8dCoUC8aEL4OfUX+xIssbBTET0B4VCgTeGzUOgawByqwuQdWkPLLhqsVWqaLyF5JyNMBgNiA2O\nQKDrY2JHkj0OZiKiv1Ar1XgrJAo+fbzxc9kxHCz9RexIotHdrUXSuQ1oNDQhYtgrCNOOEDtSr8DB\nTET0L+zV9kgIi4Wzpi92Fe/FmVs5YkeyuAZ9I5LObUBtyx289NjzGO/zhNiReg0OZiKi+3C1c0FC\nWCzsVLZIP78DxbVXxY5kMXdbW5CcuxG3mioxzW8SpvtPFjtSr8LBTET0AL5OPlgYEoU2CFiXm4aK\nxkqxIz1yhj/Wv75eV4px3mPwcsCLXP/awjiYiYg6MdwtEBHD5qGptRnJOam40yLfzw9uE9qQfn4H\nLuouIcRjON4YNo9DWQQczEREXXiy31i8MGg6au7qsDZ3I1pkeI+zIAjIKPoWv1fm4jHnQYgN5vrX\nYuFgJiLqhhcGPoMn+z2Okvob2Ji/FcY2o9iRzGrv1f349cZx9Hfsh8Wh0dCobMSO1GtxMBMRdYNC\nocDrQ+diuFsg8msuIqNot2zucT5S+hv2XTsADzs3JIYthIONvdiRejUOZiKiblIpVYgbEYn+jv1w\ntDwb+68fETtSj52uOIvMS9/CSXNv/WtnWyexI/V6HMxERA/BXm2HhLBYuNq64Nsr+3Cq4qzYkUxW\nUFOIzRd2wl5th7fDFkLr4C52JAIHMxHRQ3OxdUZCWCzs1XbYciEDRbpisSM9tCt3rmNDXjpUCiUW\nh8bA18lH7Ej0Bw5mIiIT+Dh6462QNwEAKXnpKG+oEDlR95U3VGBNzka0CkbEjYhEgMsgsSPRX3Aw\nExGZKNA1AJHDw9HcehfJORtR23JH7EhdqmnW4cucVDS1NuONYfMQ4hEkdiT6FxzMREQ98IT3aMwa\n/Bx0LbVYk7MJd1vvih3pger1DVidsx61LXfwcsCL+I9+Y8WORPfBwUxE1EPPDpiCp3zGoayhHBus\n9B7nu613kZyTisqmakz3n4xn/J8WOxI9AAczEVEPKRQKvBY4B8Huw3DhdhG+KvzGqu5xNhgNWJeX\njpL6Gxjf73G89NjzYkeiTnAwExGZgUqpQmzwG/B36o/jN09h37UDYkcCcG/967TzX6FIV4wwj2DM\nHzqX619bOZMGc01NDeLi4hAVFYXw8HCcPSvd+/iIiMzFTm2LxaGxcLdzxd6r+3Hi5mlR8wiCgB2F\n3+BcVT6GuAxGTHAE17+WAJMG8+7duzFnzhxs2bIFH3zwAZKSksydi4hIkpxtnZAQFgsHtT22XczC\nhdtFomX57sqP+K38JPwcfRAfGg0brn8tCSYN5ri4OMyaNQsAUFFRAS8vL7OGIiKSMu8+XogPjYYS\nCmzI24Ky+nKLZzhU+it+vH4IWnt3JIyMg73azuIZyDQKwcS/UKiqqkJ8fDyam5uRnp4OrVZr7mxE\nRJJ2rOQ0Vh1PhZu9C1Y88ze4O7ha5Ly/XMvG6uw0uNo545/PfADPPlxqU0q6HMyZmZnIzMzssO2d\nd97BxIkTAQBHjhxBWloa0tLSujxZVZV8P2Bcq3WSbX1yrg1gfVJn7fUdKPkZu4r3wqePN94bswT2\n6u5/cpMpteVXX8C6vM2wVdnivdFL4OPo/bCRLcbae9dTWq1pHwii7uoB4eHhCA8P77AtOzsbtbW1\ncHFxweTJk7F06VKTTk5EJHfT/CahplmHX24cw/q8LUgIi4Va2eVLr0ku117DhvytUClUSAiLseqh\nTA9m0u+YDx06hD179gAACgsL4e3N5hMR3Y9CoUB44GyEegSjUFeMbRezHsk9zjcabmJN7iYYBSMW\njojEYOeBZj8HWYZJP7YtXrwYS5cuxU8//QSDwYCPP/7YzLGIiORDqVAiJvh1rDq7DicrfoebnStm\nDX7WbMevbr6NL89tQHNrMxYEzccIj+FmOzZZnkmD2dXVFevWrTN3FiIi2dKoNFgSGoPPT6/GD9cO\nws3WBU/1H9fj49bp65F0bj3u6Osxb8hsPOE92gxpSUxc+YuIyEKcNI5IHBmHPjYO2FG0CwU1F3t0\nvObWZnx5LhXVzTV4bsBUTPGbYKakJCYOZiIiC/J00GJxaAxUCiU25G9FSX2ZSccxGA1Yl7sZZQ3l\nmOAzDjPNeGmcxMXBTERkYYOdByA66HUYjAasydmEmubbD/V8Y5sRGwu241LtFYzShuC1oS9z/WsZ\n4WAmIhLBSM8QvDJkFur09UjO2YgmQ1O3nicIAr4q/Aa51QUY6hqABcGvQ6ngS7mcsJtERCKZ4jcB\nU/0moqKpEil56TC0tXb5nG8v78Pxm6fg7+SLt0LehM0juieaxMPBTEQkopcDXsRIbQgu1V7BlvM7\n0Sa0PfCxB0p+xv6SI/B08EBCWCzsuP61LHEwExGJSKlQYkHQfAx2HoAzlTnYc/mH+z7uxM3T2FW8\nFy62zng7bBGcNI4WTkqWwsFMRCQyjcoG8aHR8LT3wP6SI/il7HiH/XnV57HtYhYc1PZIDIuDu71l\nPgyDxMHBTERkBRxt+iAhLA6ONn2QUbQbuVUFAIBLuitIzd8KtUKFhLBYrn/dC3AwExFZCa2DO5aE\nxUCtVGNjwXYcunIMa3PTYBTasDDkTQxyHiB2RLIADmYiIisysK8/YoMj0NrWirWntqDF2IIFw19D\nsPtQsaORhXAwExFZmVBtMF4bOgcalQ3CA1/CWO9RYkciC+INcEREVmhi/ycxO3QadDXdW3iE5IPv\nmImIrJRaqRI7AomAg5mIiMiKcDATERFZEQ5mIiIiK8LBTEREZEU4mImIiKwIBzMREZEV4WAmIiKy\nIhzMREREVoSDmYiIyIpwMBMREVkRDmYiIiIrohAEQRA7BBEREd3Dd8xERERWhIOZiIjIinAwExER\nWREOZiIiIivCwUxERGRFOJiJiIisiNrcB1y1ahVOnDgBvV6Pf/zjHwgJCWnfd/bsWXzyySdoaWnB\n9OnTkZCQYO7TP3Kd1Td16lR4e3tDpVIBAD7//HN4eXmJFdUkRUVFSEhIQHR0NCIjIzvsk0P/OqtP\n6v374osvkJ2dDYPBgEWLFuH5559v3yeH3nVWn9R719zcjKVLl6KmpgZNTU1ITEzEtGnT2vdLvX9d\n1Sf1/gHA3bt3MXPmTCQkJGDu3Lnt203qnWBGx48fF+Li4gRBEITCwkIhIiKiw/4ZM2YI5eXlgtFo\nFObNmydcv37dnKd/5Lqqb8qUKUJDQ4MY0cyisbFRiIyMFJYtWyZs2bLl3/ZLvX9d1Sfl/p08eVJY\nuHChIAiCoNPphIkTJ3bYL/XedVWflHsnCILw/fffCykpKYIgCEJZWZkwY8aMDvul3r+u6pN6/wRB\nEL744gth7ty5wtdff91huym9M+ul7Ozs7PafggIDA1FZWYnm5mYAQGlpKZydndGvXz8olUpMnjwZ\nR48eNefpH7nO6pMDjUaD9evXw9PT89/2yaF/ndUndaNGjcKqVasAAE5OTjAYDGhrawMgj951Vp8c\nvPjii1i0aBEAoKKiosO7RTn0r7P65ODy5cu4fPkyJk+e3GG7qb0z66XsqqoqDBs2rP1rNzc3VFdX\nw8/PD5WVlXBzc2vf5+7ujsrKSnOe/pHrrL4/LV++HDdv3sTo0aPx/vvvQ6FQiBHVJGq1Gmr1/f9L\nyKF/ndX3J6n276+1ZWVl4emnn4ZSee/nbrn17l/r+5NUe/dX4eHhqK6uRkpKSvs2OfTvT/er709S\n7t+nn36K5cuXY9euXR22m9o7s75jtrGx6fC1IAjt39zO9klFVzW8++67WLp0KbZu3YqrV69i3759\nlo74yMihf12RQ/8OHDiAjIwM/P3vf2/fJqfe3a8+QB69A4DMzEysXr0a7733XvsVATn17371AdLu\n3+7duzF27Fj4+vr+2z5Te2fWd8xarRY1NTXtX9++fRseHh4AAE9Pzw77qqurJXdJsbP6AGDOnDnt\n/54wYQKKi4stmu9RkkP/uiL1/v36669ITk5Gamoq+vbt275dLr17UH2A9HuXl5cHd3d3+Pj4IDg4\nGG1tbdDpdHB3d5dF/zqrD5B2/44cOYKysjLs378fFRUV0Gg08Pb2xvjx403unVnfMU+aNAkHDx4E\nABQUFMDPzw92dnYAAG9vb7S2tqK8vBxGoxGHDx/GpEmTzHn6R66z+hoaGhAZGdn+O+czZ85gyJAh\nomU1Nzn0rzNS7199fT1WrlyJlJQUuLq6dtgnh951Vp/Uewfc+8vdzZs3A7j34t3Y2Nhepxz611l9\nUu/fqlWrkJWVhYyMDISHhyMhIQHjx48HYHrvzP7pUp999hmOHTsGlUqFFStWoKCgAE5OTpg+fTpO\nnTqFFStWQKFQYPbs2YiJiTHnqS2is/q2bduGrKws2NnZISgoCMuWLZPUJaf8/Hx88sknuHHjBtRq\nNby8vDB16lT4+vrKon9d1Sfl/u3cuRNJSUkYNGhQ+7Zx48Zh6NChsuhdV/VJuXcAoNfr8dFHH+Hm\nzZvQ6/VITEyETqeTzWtnV/VJvX9/SkpKQv/+/QGgR73jxz4SERFZEa78RUREZEU4mImIiKwIBzMR\nEZEV4WAmIiKyIhzMREREVoSDmYiIyIpwMBMREVkRDmYiIiIr8v9bMfIvLe+UKQAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a2e22a7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prueba_dict = {\n",
    "                        \"col1\": serie_prueba_s,\n",
    "                        \"col2\": serie_prueba_d,\n",
    "                        \"col3\": [1, 2, 3, 4, 0]\n",
    "             }\n",
    "prueba_data_frame = pd.DataFrame(prueba_dict)\n",
    "print(prueba_data_frame)\n",
    "# La operacion .sum() ahora retorna un DataFrame, pero Pandas sabe no combinar peras con manzanas.\n",
    "print(\"La suma de cada columna es: \\n{suma}\".format(suma=prueba_data_frame.sum())) \n",
    "prueba_data_frame.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Veamos ahora ya, nuestro DataFrame creado con los datos, muni_data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#muni_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a2e2b0898>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zovnz5ysmJkaLFy9WfHy87r77bi1btkwvvviijh8/rgcffFCStHLlSi1YsEAZ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a2e246b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Una grafica bastante inutil, ¿porque?\n",
    "\n",
    "muni_data.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANNO</th>\n",
       "      <th>ADMINISTRACIÓN</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DEPTO</th>\n",
       "      <th>MUN</th>\n",
       "      <th>FUNC1</th>\n",
       "      <th>FUNC2</th>\n",
       "      <th>FUNC3</th>\n",
       "      <th>ECON1</th>\n",
       "      <th>ECON2</th>\n",
       "      <th>...</th>\n",
       "      <th>ORIGEN2</th>\n",
       "      <th>ORIGEN3</th>\n",
       "      <th>PROGRAMA1</th>\n",
       "      <th>PROGRAMA2</th>\n",
       "      <th>PROYECTO1</th>\n",
       "      <th>PROYECTO2</th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.137,400.00</td>\n",
       "      <td>Q.137,400.00</td>\n",
       "      <td>Q.137,400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>22 Ingresos Ordinarios De Aporte Constitucional</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>31 Ingresos Propios</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.240,000.00</td>\n",
       "      <td>Q.49,588.00</td>\n",
       "      <td>Q.49,588.00</td>\n",
       "      <td>Q.49,588.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>42 Préstamos Internos</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ANNO ADMINISTRACIÓN   MUNICIPIO         DEPTO         MUN  \\\n",
       "0  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "1  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "2  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "3  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "4  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "\n",
       "                        FUNC1                                      FUNC2  \\\n",
       "0  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "1  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "2  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "3  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "4  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "\n",
       "          FUNC3                 ECON1                      ECON2  \\\n",
       "0  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "1  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "2  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "3  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "4  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "\n",
       "        ...                                                ORIGEN2    ORIGEN3  \\\n",
       "0       ...                        21 Ingresos Tributarios Iva Paz  No Aplica   \n",
       "1       ...                        21 Ingresos Tributarios Iva Paz  No Aplica   \n",
       "2       ...        22 Ingresos Ordinarios De Aporte Constitucional  No Aplica   \n",
       "3       ...                                    31 Ingresos Propios  No Aplica   \n",
       "4       ...                                  42 Préstamos Internos  No Aplica   \n",
       "\n",
       "   PROGRAMA1  PROGRAMA2  PROYECTO1  PROYECTO2        APROBADO       RETRASADO  \\\n",
       "0  No Aplica  No Aplica  No Aplica  No Aplica          Q.-      Q.137,400.00    \n",
       "1  No Aplica  No Aplica  No Aplica  No Aplica          Q.-             Q.-      \n",
       "2  No Aplica  No Aplica  No Aplica  No Aplica          Q.-             Q.-      \n",
       "3  No Aplica  No Aplica  No Aplica  No Aplica   Q.240,000.00     Q.49,588.00    \n",
       "4  No Aplica  No Aplica  No Aplica  No Aplica          Q.-             Q.-      \n",
       "\n",
       "        EJECUTADO          PAGADO  \n",
       "0   Q.137,400.00    Q.137,400.00   \n",
       "1          Q.-             Q.-     \n",
       "2          Q.-             Q.-     \n",
       "3    Q.49,588.00     Q.49,588.00   \n",
       "4          Q.-             Q.-     \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Veamos los datos, limitamos a solo los primeros 5 filas.\n",
    "\n",
    "muni_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            Q.-   \n",
       "1            Q.-   \n",
       "2            Q.-   \n",
       "3     Q.240,000.00 \n",
       "4            Q.-   \n",
       "Name: APROBADO, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## La columna 'APROBADO' se ve un poco sospechosa.\n",
    "## Python toma a los numeros como números, no con una Q ni un punto (si no lo tiene) ni comas innecesarias. \n",
    "## Veamos mas a detalle.\n",
    "\n",
    "muni_data['APROBADO'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Vamos a ignorar esto por un momento, pero los números de verdad son de tipo float"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Veamos cuantas columnas son, podemos explorar un poco mas asi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ANNO', 'ADMINISTRACIÓN', 'MUNICIPIO', 'DEPTO', 'MUN', 'FUNC1', 'FUNC2',\n",
       "       'FUNC3', 'ECON1', 'ECON2', 'ORIGEN1', 'ORIGEN2', 'ORIGEN3', 'PROGRAMA1',\n",
       "       'PROGRAMA2', 'PROYECTO1', 'PROYECTO2', 'APROBADO', 'RETRASADO',\n",
       "       'EJECUTADO', 'PAGADO'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ALOTENANGO', 'AMATITLAN', 'ATESCATEMPA', 'AYUTLA', 'CABAÑAS'], dtype=object)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data['MUNICIPIO'].unique()[:5] # Listame 5 municipios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Funcion 1: \n",
      " ['1 - ADMINISTRACION GENERAL' '3 - SERVICIOS SOCIALES'\n",
      " '2 - DEFENSA Y SEGURIDAD INTERNA' 'Sin Finalidad'\n",
      " '4 - SERVICIOS ECONOMICOS' '5 - DEUDA PUBLICA'\n",
      " '6 - OTROS NO CLASIFICABLES' '01 - SERVICIOS PUBLICOS GENERALES'\n",
      " '08 - SALUD' '07 - URBANIZACION Y SERVICIOS COMUNITARIOS'\n",
      " '05 - ASUNTOS ECONOMICOS' '06 - PROTECCION AMBIENTAL' '10 - EDUCACION'\n",
      " '12 - TRANSACCIONES DE LA DEUDA PUBLICA'\n",
      " '03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA'\n",
      " '09 - ACTIVIDADES DEPORTIVAS, RECREATIVAS, CULTURA Y RELIGION'\n",
      " '11 - PROTECCION SOCIAL' '04 - ATENCION A DESASTRES Y GESTION DE RIESGOS'\n",
      " '02 - DEFENSA'] \n",
      " Funcion 2: \n",
      " ['109 - OTRAS ACTIVIDADES DE ADMINISTRACION' '306-AGUA Y SANEAMIENTO'\n",
      " '309-MEDIO AMBIENTE' '303-EDUCACION' '202-SEGURIDAD INTERNA'\n",
      " '304-CULTURA Y DEPORTES' '301-SALUD Y ASISTENCIA SOCIAL' 'Sin Funcion'\n",
      " '404-TRANSPORTE' '405-INDUSTRIA  Y  COMERCIO'\n",
      " '409-OTRAS ACTIVIDADES DE SERVICIOS ECONOMICOS'\n",
      " '106-ADMINISTRACION FISCAL' '406-TURISMO'\n",
      " '310-OTRAS ACTIVIDADES DE SERVICIOS SOCIALES' '402-ENERGIA'\n",
      " '403-COMUNICACIONES' '302-TRABAJO Y PREVISION SOCIAL'\n",
      " '107-AUDITORIA Y CONTROL' '501-INTERESES, COMISIONES Y OTROS GASTOS'\n",
      " '201-DEFENSA' '601-AMORTIZACION DE DEUDA' '407-AGROPECUARIO'\n",
      " '101-LEGISLATIVA' '307-VIVIENDA' '308-DESARROLLO URBANO Y RURAL'\n",
      " '401-MINERIA E HIDROCARBUROS' '408-FINANCIERAS Y SEGUROS'\n",
      " '602-DISMINUCION DE OTROS PASIVOS' '603-OTROS GASTOS'\n",
      " '103-DIRECCION GUBERNAMENTAL' '108-SERVICIOS GENERALES'\n",
      " '104-RELACIONES INTERIORES' '102-JUDICIAL' '305-CIENCIA Y TECNOLOGIA'\n",
      " '105-RELACIONES EXTERIORES'\n",
      " '0101 - Administracion legislative, ejecutiva y asuntos exteriores'\n",
      " '0803 - Servicios hospitalarios' '0703 - Abastecimiento de agua'\n",
      " '0502 - Agricultura, produccion pecuaria, silvicultura, caza y pesca'\n",
      " '0505 - Transporte' '0602 - Ordenación de aguas residuales'\n",
      " '0702 - Desarrollo comunitario' '1002 - Educación media'\n",
      " '1001 - Educación preprimaria y primaria'\n",
      " '0805 - Investigación y desarrollo relacionados con la Salud'\n",
      " '0503 - Combustibles y energia'\n",
      " '1201 - Intereses y comisiones de la deuda pública'\n",
      " '1202 - Amortizaciones de deuda pública'\n",
      " '0102 - Administracion fiscal, monetaria y servicios de fiscalizacion'\n",
      " '0501 - Asuntos económicos y comerciales en general'\n",
      " '0104 - Servicios generales' '0107 - Servicios públicos generales n.c.d'\n",
      " '0302 - Administración de justicia'\n",
      " '0301 - Servicios de policía y seguridad ciudadana'\n",
      " '0901 - Servicios deportivos y de recreación '\n",
      " '0906 - Actividades deportivas, recreativas, cultura y religión n.c.d. (SC)'\n",
      " '0705 - Investigación y desarrollo relacionados con urbanización y servicios comunitarios'\n",
      " '0106 - Investigación y desarrollo relacionados con los servicios públicos generales'\n",
      " '0606 - Protección ambiental n.c.d' '0601 - Ordenación de desechos'\n",
      " '1104 - Familia e hijos' '0704 - Alumbrado público'\n",
      " '1102 - Edad avanzada' '0902 - Servicios culturales (SI)'\n",
      " '0806 - Salud n.c.d' '0804 - Servicios de salud pública'\n",
      " '0701 - Urbanizacion' '0507 - Otras actividades economicas y financieras'\n",
      " '0303 - Defensoría pública penal y de los derechos humanos'\n",
      " '1005 - Educación no atribuible a ningún nivel escolarizado'\n",
      " '0105 - Investigación básica'\n",
      " '0604 - Protección de la diversidad biológica y del paisaje'\n",
      " '0404 - Atención a Desastres  y Gestión de Riesgos n.c.d'\n",
      " '0401 - Servicios de prevención y control de incendios, y servicios de rescate y auxilio'\n",
      " '1007 - Investigación y desarrollo relacionados con la educación'\n",
      " '1008 - Educación n.c.d' '0603 - Reducción de la contaminación'\n",
      " '0402 - Gestión prospectiva de riesgos a desastres'\n",
      " '0706 - Urbanización y servicios comunitarios n.c.d' '1106 - Vivienda'\n",
      " '0504 - Mineria, manufacturas y construccion' '0201 - Defensa militar'\n",
      " '0802 - Servicios para paciente externos'\n",
      " '1003 - Educación postmedia básica y diversificada no universitaria o superior'\n",
      " '0903 - Servicios de radio y televisión y servicios editoriales (SC)'\n",
      " '0605 - Investigación y desarrollo relacionados con la protección ambiental'\n",
      " '1004 - Educación universitaria o superior'\n",
      " '0103 - Ayuda economica exterior' '1109 - Protección social n.c.d'\n",
      " '0506 - Comunicaciones' '0801 - Productos, utiles y equipos medicos'\n",
      " '0509 - Asuntos económicos n.c.d'\n",
      " '0307 - Orden público y seguridad ciudadana  n.c.d'\n",
      " '0202 - Defensa civil'\n",
      " '0904 - Servicios religiosos y otros servicios comunitarios (SC)'\n",
      " '1006 - Servicios auxiliares de la educación '\n",
      " '0905 - Investigación y desarrollo relacionados con el esparcimiento, cultura y  religión'\n",
      " '1107 - Otros riesgos de exclusión social'\n",
      " '1101 - Enfermedad, funcionamiento corporal y discapacidad'\n",
      " '0403 - Investigación y desarrollo relacionados con la  Atención a Desastres  y Gestión de Riesgos'\n",
      " '1103 - Sobrevivientes (pensionados)' '0205 - Defensa n.c.d.'\n",
      " '0508 - Investigación y desarrollo relacionados con asuntos económicos'\n",
      " '1105 - Desempleo'\n",
      " '0306 - Investigación y desarrollo relacionados con el orden público y seguridad ciudadana'\n",
      " '0304 - Administración de asuntos penitenciarios'] \n",
      " Funcion 3: \n",
      "['Sin Division' '010102-Ejecutiva'\n",
      " '080303-Servicios médicos y de centros de maternidad'\n",
      " '070301-Abastecimiento de agua' '050204-Producción pecuaria (SC)'\n",
      " '050501-Transporte por carretera' '060201-Ordenación de aguas residuales'\n",
      " '070201-Desarrollo comunitario' '100201-Educación básica'\n",
      " '100102-Educación primaria' '100103-Alfabetización'\n",
      " '080501-Investigación y desarrollo relacionados con la Salud'\n",
      " '050306-Electricidad' '120101-Intereses y comisiones de la deuda pública'\n",
      " '120201-Amortizaciones de deuda pública' '010101-Legislativa'\n",
      " '010201-Asuntos fiscales' '050103-Asuntos laborales generales'\n",
      " '010402-Servicios generales de planificación'\n",
      " '010203-Servicios de fiscalización' '010404-Otros servicios generales'\n",
      " '010701-Servicios públicos generales n.c.d' '050202-Silvicultura'\n",
      " '050101-Asuntos económicos y comerciales en general'\n",
      " '030201-Administración de justicia'\n",
      " '030101-Servicios de policía y seguridad ciudadana'\n",
      " '100101-Educación preprimaria' '100202-Educación diversificada'\n",
      " '090101-Servicios deportivos (SI)'\n",
      " '090601-Actividades deportivas, recreativas, cultura y religión n.c.d. (SC)'\n",
      " '070501-Investigación y desarrollo relacionados con urbanización y servicios comunitarios'\n",
      " '010601-Investigación y desarrollo relacionados con los servicios públicos generales'\n",
      " '060601-Protección ambiental n.c.d' '060101-Ordenación de desechos'\n",
      " '110401-Familia e hijos' '070401-Alumbrado público'\n",
      " '110201-Edad avanzada' '090201-Servicios culturales (SI)'\n",
      " '050302-Petróleo y gas natural' '080601-Salud n.c.d'\n",
      " '080401-Servicios de salud pública' '090102-Servicios de recreación (SI)'\n",
      " '070101-Urbanizacion' '010401-Administración general del recurso humano'\n",
      " '050701-Comercio, distribución, almacenamiento y depósito'\n",
      " '030301-Defensoría pública penal'\n",
      " '100501-Educación no atribuible a ningún nivel escolarizado'\n",
      " '010501-Investigación básica'\n",
      " '050505-Transporte por oleoductos y gasoductos' '050201-Agricultura'\n",
      " '060401-Protección de la diversidad biológica y del paisaje'\n",
      " '080301-Servicios hospitalarios generales'\n",
      " '040401-Atención a Desastres  y Gestión de Riesgos n.c.d'\n",
      " '040101-Servicios de prevención y control de incendios, y servicios de rescate y auxilio'\n",
      " '100701-Investigación y desarrollo relacionados con la educación'\n",
      " '100801-Educación n.c.d' '010202-Asuntos monetarios'\n",
      " '060301-Reducción de la contaminación'\n",
      " '040201-Gestión prospectiva de riesgos a desastres'\n",
      " '070601-Urbanización y servicios comunitarios n.c.d' '110601-Vivienda'\n",
      " '050402-Manufacturas' '020101-Defensa militar'\n",
      " '010403-Servicios generales de estadística'\n",
      " '080201-Servicios médicos generales'\n",
      " '100301-Educación postmedia básica y diversificada no universitaria o superior'\n",
      " '090301-Servicios de radio y televisión y servicios editoriales (SC)'\n",
      " '060501-Investigación y desarrollo relacionados con la protección ambiental'\n",
      " '100401-Primera etapa de la educación universitaria o superior'\n",
      " '010301-Ayuda económica a los países en desarrollo y en transición'\n",
      " '050506-Otros sistemas de transporte'\n",
      " '040202-Gestión correctiva o compensatoria de desastres'\n",
      " '110901-Protección social n.c.d' '050601-Comunicaciones'\n",
      " '080101-Productos farmacéuticos' '010103-Asuntos exteriores'\n",
      " '080302- Servicios hospitalarios especializados' '050403-Construcción'\n",
      " '050102-Supervisión financiera' '050901-Asuntos económicos n.c.d'\n",
      " '030701-Orden público y seguridad ciudadana  n.c.d'\n",
      " '020201-Defensa civil' '050707-Proyectos de desarrollo polivalentes'\n",
      " '090401-Servicios religiosos y otros servicios comunitarios (SC)'\n",
      " '080202-Servicios médicos especializados' '080204-Servicios paramédicos'\n",
      " '100601-Servicios auxiliares de la educación preprimaria y primaria'\n",
      " '080103-Aparatos y equipos terapéuticos'\n",
      " '090501-Investigación y desarrollo relacionados con el esparcimiento, cultura y  religión'\n",
      " '080102-Otros productos médicos'\n",
      " '050401-Extracción de recursos minerales excepto los combustibles minerales'\n",
      " '110701-Otros riesgos de exclusión social'\n",
      " '100603-Servicios auxiliares de la educación postmedia básica y diversificada no universitaria o superior'\n",
      " '050502-Transporte por agua'\n",
      " '050301-Carbón y otros combustibles minerales sólidos'\n",
      " '110101-Enfermedad' '080203-Servicios odontológicos'\n",
      " '040301-Investigación y desarrollo relacionados con la  Atención a Desastres  y Gestión de Riesgos'\n",
      " '110901-Investigación y desarrollo relacionados con la Protección Social'\n",
      " '100402-Segunda etapa de la educación universitaria o superior'\n",
      " '050203-Caza y pesca' '050303-Combustibles nucleares'\n",
      " '050307-Energía no eléctrica' '050704-Intermediación financiera'\n",
      " '110301-Sobrevivientes (pensionados)' '050305-Otros combustibles'\n",
      " '020501-Defensa n.c.d.'\n",
      " '080304-Servicios de salud y residencias a personas de la tercera edad y residencias de convalecencia'\n",
      " '050702-Hoteles y restaurantes' '050703-Turismo'\n",
      " '050801-Investigación y desarrollo relacionados con asuntos económicos, comerciales y laborales en general'\n",
      " '030302-Defensoría de los derechos humanos' '110501-Desempleo'\n",
      " '050805-Investigación y desarrollo relacionados con el transporte'\n",
      " '050803-Investigación y desarrollo relacionados con combustibles y energía'\n",
      " '110102-Funcionamiento corporal y discapacidad'\n",
      " '050706-Seguros y fianzas' '050504-Transporte aéreo'\n",
      " '030601-Investigación y desarrollo relacionados con el orden público y seguridad ciudadana'\n",
      " '050503-Transporte por ferrocarril'\n",
      " '030401-Administración de asuntos penitenciarios'\n",
      " '100602-Servicios auxiliares de la educación media'\n",
      " '100604-Servicios auxiliares de la educación universitaria o superior'\n",
      " '010302-Ayuda económica prestada a través de organismos internacionales'\n",
      " '050802-Investigación y desarrollo relacionados con agricultura, producción pecuaria, silvicultura, caza y p']\n"
     ]
    }
   ],
   "source": [
    "print(\"Funcion 1: \\n {func1} \\n Funcion 2: \\n {func2} \\n Funcion 3: \\n{func3}\".format(\n",
    "        func1=muni_data[\"FUNC1\"].unique(), \n",
    "        func2=muni_data[\"FUNC2\"].unique(),\n",
    "        func3=muni_data[\"FUNC3\"].unique()\n",
    "        )\n",
    "     )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vamos a explorar un poco con indices y etiquetas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "index_geo_data = muni_data.set_index(\"DEPTO\",\"MUNICIPIO\").sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FUNC1</th>\n",
       "      <th>FUNC2</th>\n",
       "      <th>FUNC3</th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEPTO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GUATEMALA</th>\n",
       "      <td>01 - SERVICIOS PUBLICOS GENERALES</td>\n",
       "      <td>0101 - Administracion legislative, ejecutiva y...</td>\n",
       "      <td>010102-Ejecutiva</td>\n",
       "      <td>Q.34,180.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUATEMALA</th>\n",
       "      <td>01 - SERVICIOS PUBLICOS GENERALES</td>\n",
       "      <td>0101 - Administracion legislative, ejecutiva y...</td>\n",
       "      <td>010102-Ejecutiva</td>\n",
       "      <td>Q.42,000.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUATEMALA</th>\n",
       "      <td>01 - SERVICIOS PUBLICOS GENERALES</td>\n",
       "      <td>0101 - Administracion legislative, ejecutiva y...</td>\n",
       "      <td>010102-Ejecutiva</td>\n",
       "      <td>Q.42,000.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUATEMALA</th>\n",
       "      <td>01 - SERVICIOS PUBLICOS GENERALES</td>\n",
       "      <td>0101 - Administracion legislative, ejecutiva y...</td>\n",
       "      <td>010102-Ejecutiva</td>\n",
       "      <td>Q.320,000.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GUATEMALA</th>\n",
       "      <td>01 - SERVICIOS PUBLICOS GENERALES</td>\n",
       "      <td>0101 - Administracion legislative, ejecutiva y...</td>\n",
       "      <td>010102-Ejecutiva</td>\n",
       "      <td>Q.1,000.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       FUNC1  \\\n",
       "DEPTO                                          \n",
       "GUATEMALA  01 - SERVICIOS PUBLICOS GENERALES   \n",
       "GUATEMALA  01 - SERVICIOS PUBLICOS GENERALES   \n",
       "GUATEMALA  01 - SERVICIOS PUBLICOS GENERALES   \n",
       "GUATEMALA  01 - SERVICIOS PUBLICOS GENERALES   \n",
       "GUATEMALA  01 - SERVICIOS PUBLICOS GENERALES   \n",
       "\n",
       "                                                       FUNC2  \\\n",
       "DEPTO                                                          \n",
       "GUATEMALA  0101 - Administracion legislative, ejecutiva y...   \n",
       "GUATEMALA  0101 - Administracion legislative, ejecutiva y...   \n",
       "GUATEMALA  0101 - Administracion legislative, ejecutiva y...   \n",
       "GUATEMALA  0101 - Administracion legislative, ejecutiva y...   \n",
       "GUATEMALA  0101 - Administracion legislative, ejecutiva y...   \n",
       "\n",
       "                      FUNC3        APROBADO EJECUTADO  \n",
       "DEPTO                                                  \n",
       "GUATEMALA  010102-Ejecutiva    Q.34,180.00        NaN  \n",
       "GUATEMALA  010102-Ejecutiva    Q.42,000.00        NaN  \n",
       "GUATEMALA  010102-Ejecutiva    Q.42,000.00        NaN  \n",
       "GUATEMALA  010102-Ejecutiva   Q.320,000.00        NaN  \n",
       "GUATEMALA  010102-Ejecutiva     Q.1,000.00        NaN  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_geo_data.loc[\n",
    "                    [\"GUATEMALA\",\"ESCUINTLA\",\"SACATEPEQUEZ\"],\n",
    "                    ['FUNC1','FUNC2','FUNC3','APROBADO','EJECUTADO']\n",
    "                  ].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora que podemos realizar selección basica, pensamos, que podemos hacer con estos datos, y nos enfrentamos a un problema..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' Q.240,000.00  Q.240,000.00 '"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data['APROBADO'][3] * 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*¡Rayos!* porque no puedo manipular estos datos así como los otros, y es porque son de tipo texto y no números."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# muni_data['APROBADO'].sum() ## No correr, falla..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Necesitamos crear una funcion para limpiar estos tipos de dato que son texto, para poderlos convertir a numeros de tipo punto flotante (decimales)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## Esto es una funcion en Python, con def definimos el nombre de esta funcion, 'clean_q'\n",
    "## esta recibe un objeto de entrada.\n",
    "\n",
    "def clean_q(input_object):\n",
    "    from re import sub  ## importamos la función sub, que substituye utilizando patrones\n",
    "    ## https://es.wikipedia.org/wiki/Expresión_regular\n",
    "    \n",
    "    ## NaN es un objeto especial que representa un valor numérico invalido, Not A Number.\n",
    "    if input_object == NaN:\n",
    "        return 0\n",
    "    inp = unicode(input_object) # De objeto a un texto\n",
    "    cleansed_q = sub(r'Q\\.','', inp) # Remueve Q., el slash evita que . sea interpretado como un caracter especial\n",
    "    cleansed_00 = sub(r'\\.00', '', cleansed_q) # Igual aqui\n",
    "    cleansed_comma = sub(',', '', cleansed_00)\n",
    "    cleansed_dash = sub('-', '', cleansed_comma)\n",
    "    cleansed_nonchar = sub(r'[^0-9]+', '', cleansed_dash)\n",
    "    if cleansed_nonchar == '':\n",
    "        return 0\n",
    "    return cleansed_nonchar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "presupuesto_aprobado = muni_data['APROBADO'].map(clean_q).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    6.74135e+05\n",
       "mean     3.64625e+05\n",
       "std      8.43016e+06\n",
       "min      0.00000e+00\n",
       "25%      0.00000e+00\n",
       "50%      1.00000e+03\n",
       "75%      1.50000e+04\n",
       "max      1.43719e+09\n",
       "Name: APROBADO, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "presupuesto_aprobado.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     Q.137,400.00 \n",
       "1            Q.-   \n",
       "2            Q.-   \n",
       "3      Q.49,588.00 \n",
       "4            Q.-   \n",
       "Name: EJECUTADO, dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data['EJECUTADO'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1 - ADMINISTRACION GENERAL                                      150541\n",
       "01 - SERVICIOS PUBLICOS GENERALES                               107911\n",
       "SIN FINALIDAD                                                   100862\n",
       "3 - SERVICIOS SOCIALES                                           96451\n",
       "4 - SERVICIOS ECONOMICOS                                         65763\n",
       "07 - URBANIZACION Y SERVICIOS COMUNITARIOS                       40349\n",
       "05 - ASUNTOS ECONOMICOS                                          38126\n",
       "10 - EDUCACION                                                   18584\n",
       "06 - PROTECCION AMBIENTAL                                        17359\n",
       "09 - ACTIVIDADES DEPORTIVAS, RECREATIVAS, CULTURA Y RELIGION     11929\n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA                          7137\n",
       "08 - SALUD                                                        5707\n",
       "12 - TRANSACCIONES DE LA DEUDA PUBLICA                            3470\n",
       "11 - PROTECCION SOCIAL                                            3338\n",
       "6 - OTROS NO CLASIFICABLES                                        2565\n",
       "2 - DEFENSA Y SEGURIDAD INTERNA                                   1662\n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS                    1179\n",
       "5 - DEUDA PUBLICA                                                 1073\n",
       "02 - DEFENSA                                                       129\n",
       "Name: FUNC1, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data['FUNC1'].str.upper().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a25005cf8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8seV4zCESvT4/Xn7nExxvT71bSZ/NhbpPzgPI7QOCz6+Oko4ixrcVsW1/B/6+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\nxKpFkWJ84e7+wIOh1GeqdF0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XQlOOOlw+uDw+jCwvCt17em0ulBYHrh2fPzBFwahRpeju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\nJYVSgwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a2e11e5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "presupuesto_aprobado.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bueno, ahora ya tenemos estas series de datos convertidas. ¿como las volvemos a agregar al dataset? ¡Facil! lo volvemos a insertar al DataFrame original, sobreescribiendo esa columna."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for col in ('APROBADO', 'RETRASADO', 'EJECUTADO', 'PAGADO'):\n",
    "    muni_data[col] = muni_data[col].map(clean_q).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "245806713741.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data['APROBADO'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANNO</th>\n",
       "      <th>ADMINISTRACIÓN</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DEPTO</th>\n",
       "      <th>MUN</th>\n",
       "      <th>FUNC1</th>\n",
       "      <th>FUNC2</th>\n",
       "      <th>FUNC3</th>\n",
       "      <th>ECON1</th>\n",
       "      <th>ECON2</th>\n",
       "      <th>...</th>\n",
       "      <th>ORIGEN2</th>\n",
       "      <th>ORIGEN3</th>\n",
       "      <th>PROGRAMA1</th>\n",
       "      <th>PROGRAMA2</th>\n",
       "      <th>PROYECTO1</th>\n",
       "      <th>PROYECTO2</th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137400.0</td>\n",
       "      <td>137400.0</td>\n",
       "      <td>137400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>22 Ingresos Ordinarios De Aporte Constitucional</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>31 Ingresos Propios</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>240000.0</td>\n",
       "      <td>49588.0</td>\n",
       "      <td>49588.0</td>\n",
       "      <td>49588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>...</td>\n",
       "      <td>42 Préstamos Internos</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ANNO ADMINISTRACIÓN   MUNICIPIO         DEPTO         MUN  \\\n",
       "0  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "1  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "2  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "3  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "4  2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "\n",
       "                        FUNC1                                      FUNC2  \\\n",
       "0  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "1  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "2  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "3  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "4  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "\n",
       "          FUNC3                 ECON1                      ECON2    ...     \\\n",
       "0  Sin Division  21 Gastos Corrientes  011 - Personal Permanente    ...      \n",
       "1  Sin Division  21 Gastos Corrientes  011 - Personal Permanente    ...      \n",
       "2  Sin Division  21 Gastos Corrientes  011 - Personal Permanente    ...      \n",
       "3  Sin Division  21 Gastos Corrientes  011 - Personal Permanente    ...      \n",
       "4  Sin Division  21 Gastos Corrientes  011 - Personal Permanente    ...      \n",
       "\n",
       "                                           ORIGEN2    ORIGEN3  PROGRAMA1  \\\n",
       "0                  21 Ingresos Tributarios Iva Paz  No Aplica  No Aplica   \n",
       "1                  21 Ingresos Tributarios Iva Paz  No Aplica  No Aplica   \n",
       "2  22 Ingresos Ordinarios De Aporte Constitucional  No Aplica  No Aplica   \n",
       "3                              31 Ingresos Propios  No Aplica  No Aplica   \n",
       "4                            42 Préstamos Internos  No Aplica  No Aplica   \n",
       "\n",
       "   PROGRAMA2  PROYECTO1  PROYECTO2  APROBADO  RETRASADO  EJECUTADO    PAGADO  \n",
       "0  No Aplica  No Aplica  No Aplica       0.0   137400.0   137400.0  137400.0  \n",
       "1  No Aplica  No Aplica  No Aplica       0.0        0.0        0.0       0.0  \n",
       "2  No Aplica  No Aplica  No Aplica       0.0        0.0        0.0       0.0  \n",
       "3  No Aplica  No Aplica  No Aplica  240000.0    49588.0    49588.0   49588.0  \n",
       "4  No Aplica  No Aplica  No Aplica       0.0        0.0        0.0       0.0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['21 Gastos Corrientes', '22 Gastos de Capital',\n",
       "       '23 Aplicaciones Financieras'], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "muni_data['ECON1'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora si, ¡ya podemos agrupar y hacer indices bien!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "index_geo_data = muni_data.set_index(\"DEPTO\",\"MUNICIPIO\").sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANNO</th>\n",
       "      <th>ADMINISTRACIÓN</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>MUN</th>\n",
       "      <th>FUNC1</th>\n",
       "      <th>FUNC2</th>\n",
       "      <th>FUNC3</th>\n",
       "      <th>ECON1</th>\n",
       "      <th>ECON2</th>\n",
       "      <th>ORIGEN1</th>\n",
       "      <th>ORIGEN2</th>\n",
       "      <th>ORIGEN3</th>\n",
       "      <th>PROGRAMA1</th>\n",
       "      <th>PROGRAMA2</th>\n",
       "      <th>PROYECTO1</th>\n",
       "      <th>PROYECTO2</th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEPTO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALTA VERAPAZ</th>\n",
       "      <td>2011</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>CAHABON</td>\n",
       "      <td>CAHABON</td>\n",
       "      <td>01 - SERVICIOS PUBLICOS GENERALES</td>\n",
       "      <td>0101 - Administracion legislative, ejecutiva y...</td>\n",
       "      <td>010101-Legislativa</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>062 - Dietas Para Cargos Representativos</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>1 - ACTIVIDADES CENTRALES</td>\n",
       "      <td>0 - SIN SUB PROGRAMA</td>\n",
       "      <td>0 - SIN PPROYECTO</td>\n",
       "      <td>1 - CONCEJO MUNICIPAL</td>\n",
       "      <td>Q.169,600.00</td>\n",
       "      <td>Q.169,600.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q.167,987.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALTA VERAPAZ</th>\n",
       "      <td>2009</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>CHAHAL</td>\n",
       "      <td>CHAHAL</td>\n",
       "      <td>3 - SERVICIOS SOCIALES</td>\n",
       "      <td>306-AGUA Y SANEAMIENTO</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>22 Gastos de Capital</td>\n",
       "      <td>331 - Construcciones De Bienes Nacionales De U...</td>\n",
       "      <td>20 Recursos Del Tesoro Con Afectación Especifica</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.10,450.00</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALTA VERAPAZ</th>\n",
       "      <td>2009</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>CHAHAL</td>\n",
       "      <td>CHAHAL</td>\n",
       "      <td>3 - SERVICIOS SOCIALES</td>\n",
       "      <td>301-SALUD Y ASISTENCIA SOCIAL</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>22 Gastos de Capital</td>\n",
       "      <td>331 - Construcciones De Bienes Nacionales De U...</td>\n",
       "      <td>30 Recursos Propios De Las Instituciones</td>\n",
       "      <td>31 Ingresos Propios</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.45.20</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALTA VERAPAZ</th>\n",
       "      <td>2009</td>\n",
       "      <td>Municipal</td>\n",
       "      <td>CHAHAL</td>\n",
       "      <td>CHAHAL</td>\n",
       "      <td>3 - SERVICIOS SOCIALES</td>\n",
       "      <td>301-SALUD Y ASISTENCIA SOCIAL</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>22 Gastos de Capital</td>\n",
       "      <td>331 - Construcciones De Bienes Nacionales De U...</td>\n",
       "      <td>30 Recursos Propios De Las Instituciones</td>\n",
       "      <td>31 Ingresos Propios</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.10.20</td>\n",
       "      <td>Q.-</td>\n",
       "      <td>Q.-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ANNO ADMINISTRACIÓN MUNICIPIO      MUN  \\\n",
       "DEPTO                                                  \n",
       "ALTA VERAPAZ  2011      Municipal   CAHABON  CAHABON   \n",
       "ALTA VERAPAZ  2009      Municipal    CHAHAL   CHAHAL   \n",
       "ALTA VERAPAZ  2009      Municipal    CHAHAL   CHAHAL   \n",
       "ALTA VERAPAZ  2009      Municipal    CHAHAL   CHAHAL   \n",
       "\n",
       "                                          FUNC1  \\\n",
       "DEPTO                                             \n",
       "ALTA VERAPAZ  01 - SERVICIOS PUBLICOS GENERALES   \n",
       "ALTA VERAPAZ             3 - SERVICIOS SOCIALES   \n",
       "ALTA VERAPAZ             3 - SERVICIOS SOCIALES   \n",
       "ALTA VERAPAZ             3 - SERVICIOS SOCIALES   \n",
       "\n",
       "                                                          FUNC2  \\\n",
       "DEPTO                                                             \n",
       "ALTA VERAPAZ  0101 - Administracion legislative, ejecutiva y...   \n",
       "ALTA VERAPAZ                             306-AGUA Y SANEAMIENTO   \n",
       "ALTA VERAPAZ                      301-SALUD Y ASISTENCIA SOCIAL   \n",
       "ALTA VERAPAZ                      301-SALUD Y ASISTENCIA SOCIAL   \n",
       "\n",
       "                           FUNC3                 ECON1  \\\n",
       "DEPTO                                                    \n",
       "ALTA VERAPAZ  010101-Legislativa  21 Gastos Corrientes   \n",
       "ALTA VERAPAZ        Sin Division  22 Gastos de Capital   \n",
       "ALTA VERAPAZ        Sin Division  22 Gastos de Capital   \n",
       "ALTA VERAPAZ        Sin Division  22 Gastos de Capital   \n",
       "\n",
       "                                                          ECON2  \\\n",
       "DEPTO                                                             \n",
       "ALTA VERAPAZ           062 - Dietas Para Cargos Representativos   \n",
       "ALTA VERAPAZ  331 - Construcciones De Bienes Nacionales De U...   \n",
       "ALTA VERAPAZ  331 - Construcciones De Bienes Nacionales De U...   \n",
       "ALTA VERAPAZ  331 - Construcciones De Bienes Nacionales De U...   \n",
       "\n",
       "                                                       ORIGEN1  \\\n",
       "DEPTO                                                            \n",
       "ALTA VERAPAZ                                         No Aplica   \n",
       "ALTA VERAPAZ  20 Recursos Del Tesoro Con Afectación Especifica   \n",
       "ALTA VERAPAZ          30 Recursos Propios De Las Instituciones   \n",
       "ALTA VERAPAZ          30 Recursos Propios De Las Instituciones   \n",
       "\n",
       "                                      ORIGEN2    ORIGEN3  \\\n",
       "DEPTO                                                      \n",
       "ALTA VERAPAZ                        No Aplica  No Aplica   \n",
       "ALTA VERAPAZ  21 Ingresos Tributarios Iva Paz  No Aplica   \n",
       "ALTA VERAPAZ              31 Ingresos Propios  No Aplica   \n",
       "ALTA VERAPAZ              31 Ingresos Propios  No Aplica   \n",
       "\n",
       "                              PROGRAMA1             PROGRAMA2  \\\n",
       "DEPTO                                                           \n",
       "ALTA VERAPAZ  1 - ACTIVIDADES CENTRALES  0 - SIN SUB PROGRAMA   \n",
       "ALTA VERAPAZ                  No Aplica             No Aplica   \n",
       "ALTA VERAPAZ                  No Aplica             No Aplica   \n",
       "ALTA VERAPAZ                  No Aplica             No Aplica   \n",
       "\n",
       "                      PROYECTO1              PROYECTO2        APROBADO  \\\n",
       "DEPTO                                                                    \n",
       "ALTA VERAPAZ  0 - SIN PPROYECTO  1 - CONCEJO MUNICIPAL   Q.169,600.00    \n",
       "ALTA VERAPAZ          No Aplica              No Aplica          Q.-      \n",
       "ALTA VERAPAZ          No Aplica              No Aplica          Q.-      \n",
       "ALTA VERAPAZ          No Aplica              No Aplica          Q.-      \n",
       "\n",
       "                   RETRASADO EJECUTADO          PAGADO  \n",
       "DEPTO                                                   \n",
       "ALTA VERAPAZ   Q.169,600.00        NaN   Q.167,987.50   \n",
       "ALTA VERAPAZ    Q.10,450.00     Q.-             Q.-     \n",
       "ALTA VERAPAZ        Q.45.20     Q.-             Q.-     \n",
       "ALTA VERAPAZ        Q.10.20     Q.-             Q.-     "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_geo_data.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mi_muni_d = muni_data.set_index([\"ANNO\"],[\"DEPTO\",\"MUNICIPIO\"],[\"FUNC1\",\"ECON1\",\"ORIGEN1\"]).sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>FUNC2</th>\n",
       "      <th>FUNC3</th>\n",
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       "      <th>ECON2</th>\n",
       "      <th>ORIGEN1</th>\n",
       "      <th>ORIGEN2</th>\n",
       "      <th>ORIGEN3</th>\n",
       "      <th>PROGRAMA1</th>\n",
       "      <th>PROGRAMA2</th>\n",
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       "      <th>PROYECTO2</th>\n",
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       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>ANNO</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <th>2008</th>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>20 Recursos Del Tesoro Con Afectación Especifica</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137400.0</td>\n",
       "      <td>137400.0</td>\n",
       "      <td>137400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>2008</th>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>20 Recursos Del Tesoro Con Afectación Especifica</td>\n",
       "      <td>21 Ingresos Tributarios Iva Paz</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>2008</th>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>20 Recursos Del Tesoro Con Afectación Especifica</td>\n",
       "      <td>22 Ingresos Ordinarios De Aporte Constitucional</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>2008</th>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>30 Recursos Propios De Las Instituciones</td>\n",
       "      <td>31 Ingresos Propios</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>240000.0</td>\n",
       "      <td>49588.0</td>\n",
       "      <td>49588.0</td>\n",
       "      <td>49588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <th>2008</th>\n",
       "      <td>Municipal</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>SACATEPEQUEZ</td>\n",
       "      <td>ALOTENANGO</td>\n",
       "      <td>1 - ADMINISTRACION GENERAL</td>\n",
       "      <td>109 - OTRAS ACTIVIDADES DE ADMINISTRACION</td>\n",
       "      <td>Sin Division</td>\n",
       "      <td>21 Gastos Corrientes</td>\n",
       "      <td>011 - Personal Permanente</td>\n",
       "      <td>40 Credito Interno</td>\n",
       "      <td>42 Préstamos Internos</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>No Aplica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ADMINISTRACIÓN   MUNICIPIO         DEPTO         MUN  \\\n",
       "  ANNO                                                        \n",
       "0 2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "1 2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "2 2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "3 2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "4 2008      Municipal  ALOTENANGO  SACATEPEQUEZ  ALOTENANGO   \n",
       "\n",
       "                             FUNC1                                      FUNC2  \\\n",
       "  ANNO                                                                          \n",
       "0 2008  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "1 2008  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "2 2008  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "3 2008  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "4 2008  1 - ADMINISTRACION GENERAL  109 - OTRAS ACTIVIDADES DE ADMINISTRACION   \n",
       "\n",
       "               FUNC3                 ECON1                      ECON2  \\\n",
       "  ANNO                                                                  \n",
       "0 2008  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "1 2008  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "2 2008  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "3 2008  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "4 2008  Sin Division  21 Gastos Corrientes  011 - Personal Permanente   \n",
       "\n",
       "                                                 ORIGEN1  \\\n",
       "  ANNO                                                     \n",
       "0 2008  20 Recursos Del Tesoro Con Afectación Especifica   \n",
       "1 2008  20 Recursos Del Tesoro Con Afectación Especifica   \n",
       "2 2008  20 Recursos Del Tesoro Con Afectación Especifica   \n",
       "3 2008          30 Recursos Propios De Las Instituciones   \n",
       "4 2008                                40 Credito Interno   \n",
       "\n",
       "                                                ORIGEN2    ORIGEN3  PROGRAMA1  \\\n",
       "  ANNO                                                                          \n",
       "0 2008                  21 Ingresos Tributarios Iva Paz  No Aplica  No Aplica   \n",
       "1 2008                  21 Ingresos Tributarios Iva Paz  No Aplica  No Aplica   \n",
       "2 2008  22 Ingresos Ordinarios De Aporte Constitucional  No Aplica  No Aplica   \n",
       "3 2008                              31 Ingresos Propios  No Aplica  No Aplica   \n",
       "4 2008                            42 Préstamos Internos  No Aplica  No Aplica   \n",
       "\n",
       "        PROGRAMA2  PROYECTO1  PROYECTO2  APROBADO  RETRASADO  EJECUTADO  \\\n",
       "  ANNO                                                                    \n",
       "0 2008  No Aplica  No Aplica  No Aplica       0.0   137400.0   137400.0   \n",
       "1 2008  No Aplica  No Aplica  No Aplica       0.0        0.0        0.0   \n",
       "2 2008  No Aplica  No Aplica  No Aplica       0.0        0.0        0.0   \n",
       "3 2008  No Aplica  No Aplica  No Aplica  240000.0    49588.0    49588.0   \n",
       "4 2008  No Aplica  No Aplica  No Aplica       0.0        0.0        0.0   \n",
       "\n",
       "          PAGADO  \n",
       "  ANNO            \n",
       "0 2008  137400.0  \n",
       "1 2008       0.0  \n",
       "2 2008       0.0  \n",
       "3 2008   49588.0  \n",
       "4 2008       0.0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mi_muni_d.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## Para obtener mas ayuda, ejecuta:\n",
    "# help(mi_muni_d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ADMINISTRACIÓN', 'MUNICIPIO', 'DEPTO', 'MUN', 'FUNC1', 'FUNC2',\n",
       "       'FUNC3', 'ECON1', 'ECON2', 'ORIGEN1', 'ORIGEN2', 'ORIGEN3', 'PROGRAMA1',\n",
       "       'PROGRAMA2', 'PROYECTO1', 'PROYECTO2', 'APROBADO', 'RETRASADO',\n",
       "       'EJECUTADO', 'PAGADO'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mi_muni_d.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count        674135\n",
       "unique           22\n",
       "top       GUATEMALA\n",
       "freq          55520\n",
       "Name: DEPTO, dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mi_muni_d[\"DEPTO\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "year_grouped = mi_muni_d.groupby(\"ANNO\").sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANNO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>2.68353e+10</td>\n",
       "      <td>2.45634e+11</td>\n",
       "      <td>4.14921e+11</td>\n",
       "      <td>4.12270e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>5.31561e+10</td>\n",
       "      <td>2.99390e+11</td>\n",
       "      <td>4.81259e+11</td>\n",
       "      <td>4.77409e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>7.32193e+10</td>\n",
       "      <td>3.28068e+11</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>5.26614e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>9.25959e+10</td>\n",
       "      <td>3.39514e+11</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>5.42302e+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         APROBADO    RETRASADO    EJECUTADO       PAGADO\n",
       "ANNO                                                    \n",
       "2008  2.68353e+10  2.45634e+11  4.14921e+11  4.12270e+11\n",
       "2009  5.31561e+10  2.99390e+11  4.81259e+11  4.77409e+11\n",
       "2010  7.32193e+10  3.28068e+11  0.00000e+00  5.26614e+11\n",
       "2011  9.25959e+10  3.39514e+11  0.00000e+00  5.42302e+11"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f6a25d5c7f0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xhYSEaP/+/V6XNxeygwcPKjMzU7/61a+UkZHhtW7YsGGKiYlRYGCgJOmZZ55RdHT0t5kd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\n0TWfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a25d5c7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_dep_grouped = mi_muni_d.groupby([\"ANNO\",\"DEPTO\"]).sum()\n",
    "year_dep_grouped.head()\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "# Draw a nested barplot to show survival for class and sex\n",
    "g = sns.factorplot( data=year_dep_grouped,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\")\n",
    "# g.despine(left=True)\n",
    "g.set_ylabels(\"cantidad\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\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>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANNO</th>\n",
       "      <th>DEPTO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2008</th>\n",
       "      <th>ALTA VERAPAZ</th>\n",
       "      <td>2.78291e+09</td>\n",
       "      <td>1.46371e+10</td>\n",
       "      <td>1.63018e+10</td>\n",
       "      <td>1.61846e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAJA VERAPAZ</th>\n",
       "      <td>6.13609e+08</td>\n",
       "      <td>6.77458e+09</td>\n",
       "      <td>6.57817e+09</td>\n",
       "      <td>6.56299e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHIMALTENANGO</th>\n",
       "      <td>9.42927e+08</td>\n",
       "      <td>8.63124e+09</td>\n",
       "      <td>1.30331e+10</td>\n",
       "      <td>1.30252e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHIQUIMULA</th>\n",
       "      <td>5.74758e+08</td>\n",
       "      <td>7.30016e+09</td>\n",
       "      <td>7.62139e+09</td>\n",
       "      <td>7.59232e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EL PROGRESO</th>\n",
       "      <td>3.53643e+08</td>\n",
       "      <td>5.29144e+09</td>\n",
       "      <td>7.06977e+09</td>\n",
       "      <td>7.03881e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       APROBADO    RETRASADO    EJECUTADO       PAGADO\n",
       "ANNO DEPTO                                                            \n",
       "2008 ALTA VERAPAZ   2.78291e+09  1.46371e+10  1.63018e+10  1.61846e+10\n",
       "     BAJA VERAPAZ   6.13609e+08  6.77458e+09  6.57817e+09  6.56299e+09\n",
       "     CHIMALTENANGO  9.42927e+08  8.63124e+09  1.30331e+10  1.30252e+10\n",
       "     CHIQUIMULA     5.74758e+08  7.30016e+09  7.62139e+09  7.59232e+09\n",
       "     EL PROGRESO    3.53643e+08  5.29144e+09  7.06977e+09  7.03881e+09"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_dep_grouped.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contestando preguntas\n",
    "Ahora ya podemos contestar algunas clases de preguntas agrupando estas entradas individuales de de datos.\n",
    "¿Que tal el departamento que tiene mas gasto en Seguridad? ¿Los tipos de gasto mas elevados como suelen ser pagados?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a2b6f7898>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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M+MN20XvllVfwzjvvwGw244477sD1118fl1tbdhWGtYgEvx+Oykp4v/0OB774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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a26964780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_grouped.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "year_dep_group = mi_muni_d.groupby([\"DEPTO\",\"ANNO\"]).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">APROBADO</th>\n",
       "      <th colspan=\"4\" halign=\"left\">RETRASADO</th>\n",
       "      <th colspan=\"4\" halign=\"left\">EJECUTADO</th>\n",
       "      <th colspan=\"4\" halign=\"left\">PAGADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANNO</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEPTO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALTA VERAPAZ</th>\n",
       "      <td>2.78291e+09</td>\n",
       "      <td>5.64744e+09</td>\n",
       "      <td>1.95357e+10</td>\n",
       "      <td>2.12952e+10</td>\n",
       "      <td>1.46371e+10</td>\n",
       "      <td>2.09176e+10</td>\n",
       "      <td>3.22332e+10</td>\n",
       "      <td>3.77961e+10</td>\n",
       "      <td>1.63018e+10</td>\n",
       "      <td>2.18337e+10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.61846e+10</td>\n",
       "      <td>2.15977e+10</td>\n",
       "      <td>2.06492e+10</td>\n",
       "      <td>2.38565e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAJA VERAPAZ</th>\n",
       "      <td>6.13609e+08</td>\n",
       "      <td>1.93412e+09</td>\n",
       "      <td>1.55609e+09</td>\n",
       "      <td>3.10721e+09</td>\n",
       "      <td>6.77458e+09</td>\n",
       "      <td>7.40240e+09</td>\n",
       "      <td>9.37046e+09</td>\n",
       "      <td>1.15378e+10</td>\n",
       "      <td>6.57817e+09</td>\n",
       "      <td>7.00557e+09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.56299e+09</td>\n",
       "      <td>6.97541e+09</td>\n",
       "      <td>8.10811e+09</td>\n",
       "      <td>1.04986e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHIMALTENANGO</th>\n",
       "      <td>9.42927e+08</td>\n",
       "      <td>2.36969e+09</td>\n",
       "      <td>2.95906e+09</td>\n",
       "      <td>2.63505e+09</td>\n",
       "      <td>8.63124e+09</td>\n",
       "      <td>9.65804e+09</td>\n",
       "      <td>9.83285e+09</td>\n",
       "      <td>8.07592e+09</td>\n",
       "      <td>1.30331e+10</td>\n",
       "      <td>1.19265e+10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.30252e+10</td>\n",
       "      <td>1.17757e+10</td>\n",
       "      <td>1.27430e+10</td>\n",
       "      <td>1.25867e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHIQUIMULA</th>\n",
       "      <td>5.74758e+08</td>\n",
       "      <td>7.94670e+08</td>\n",
       "      <td>2.40722e+09</td>\n",
       "      <td>3.12491e+09</td>\n",
       "      <td>7.30016e+09</td>\n",
       "      <td>7.01026e+09</td>\n",
       "      <td>9.74311e+09</td>\n",
       "      <td>8.95407e+09</td>\n",
       "      <td>7.62139e+09</td>\n",
       "      <td>7.77514e+09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.59232e+09</td>\n",
       "      <td>7.68196e+09</td>\n",
       "      <td>9.47250e+09</td>\n",
       "      <td>9.48921e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EL PROGRESO</th>\n",
       "      <td>3.53643e+08</td>\n",
       "      <td>9.42015e+08</td>\n",
       "      <td>1.98337e+09</td>\n",
       "      <td>2.09171e+09</td>\n",
       "      <td>5.29144e+09</td>\n",
       "      <td>6.41684e+09</td>\n",
       "      <td>6.02155e+09</td>\n",
       "      <td>6.51524e+09</td>\n",
       "      <td>7.06977e+09</td>\n",
       "      <td>7.01621e+09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.03881e+09</td>\n",
       "      <td>6.94013e+09</td>\n",
       "      <td>8.77785e+09</td>\n",
       "      <td>8.27554e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  APROBADO                                         \\\n",
       "ANNO                  2008         2009         2010         2011   \n",
       "DEPTO                                                               \n",
       "ALTA VERAPAZ   2.78291e+09  5.64744e+09  1.95357e+10  2.12952e+10   \n",
       "BAJA VERAPAZ   6.13609e+08  1.93412e+09  1.55609e+09  3.10721e+09   \n",
       "CHIMALTENANGO  9.42927e+08  2.36969e+09  2.95906e+09  2.63505e+09   \n",
       "CHIQUIMULA     5.74758e+08  7.94670e+08  2.40722e+09  3.12491e+09   \n",
       "EL PROGRESO    3.53643e+08  9.42015e+08  1.98337e+09  2.09171e+09   \n",
       "\n",
       "                 RETRASADO                                         \\\n",
       "ANNO                  2008         2009         2010         2011   \n",
       "DEPTO                                                               \n",
       "ALTA VERAPAZ   1.46371e+10  2.09176e+10  3.22332e+10  3.77961e+10   \n",
       "BAJA VERAPAZ   6.77458e+09  7.40240e+09  9.37046e+09  1.15378e+10   \n",
       "CHIMALTENANGO  8.63124e+09  9.65804e+09  9.83285e+09  8.07592e+09   \n",
       "CHIQUIMULA     7.30016e+09  7.01026e+09  9.74311e+09  8.95407e+09   \n",
       "EL PROGRESO    5.29144e+09  6.41684e+09  6.02155e+09  6.51524e+09   \n",
       "\n",
       "                 EJECUTADO                              PAGADO               \\\n",
       "ANNO                  2008         2009 2010 2011         2008         2009   \n",
       "DEPTO                                                                         \n",
       "ALTA VERAPAZ   1.63018e+10  2.18337e+10  0.0  0.0  1.61846e+10  2.15977e+10   \n",
       "BAJA VERAPAZ   6.57817e+09  7.00557e+09  0.0  0.0  6.56299e+09  6.97541e+09   \n",
       "CHIMALTENANGO  1.30331e+10  1.19265e+10  0.0  0.0  1.30252e+10  1.17757e+10   \n",
       "CHIQUIMULA     7.62139e+09  7.77514e+09  0.0  0.0  7.59232e+09  7.68196e+09   \n",
       "EL PROGRESO    7.06977e+09  7.01621e+09  0.0  0.0  7.03881e+09  6.94013e+09   \n",
       "\n",
       "                                         \n",
       "ANNO                  2010         2011  \n",
       "DEPTO                                    \n",
       "ALTA VERAPAZ   2.06492e+10  2.38565e+10  \n",
       "BAJA VERAPAZ   8.10811e+09  1.04986e+10  \n",
       "CHIMALTENANGO  1.27430e+10  1.25867e+10  \n",
       "CHIQUIMULA     9.47250e+09  9.48921e+09  \n",
       "EL PROGRESO    8.77785e+09  8.27554e+09  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_dep_group.unstack().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APROBADO</th>\n",
       "      <th>RETRASADO</th>\n",
       "      <th>EJECUTADO</th>\n",
       "      <th>PAGADO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FUNC1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01 - SERVICIOS PUBLICOS GENERALES</th>\n",
       "      <td>2.12896e+10</td>\n",
       "      <td>9.39864e+10</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.46451e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02 - DEFENSA</th>\n",
       "      <td>7.65149e+06</td>\n",
       "      <td>4.85768e+07</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.15252e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA</th>\n",
       "      <td>1.54112e+09</td>\n",
       "      <td>4.62692e+09</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>9.71618e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04 - ATENCION A DESASTRES Y GESTION DE RIESGOS</th>\n",
       "      <td>2.02693e+08</td>\n",
       "      <td>1.46343e+09</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.90633e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05 - ASUNTOS ECONOMICOS</th>\n",
       "      <td>3.53597e+10</td>\n",
       "      <td>1.16573e+11</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.08795e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06 - PROTECCION AMBIENTAL</th>\n",
       "      <td>6.82913e+09</td>\n",
       "      <td>2.43591e+10</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>3.15289e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>07 - URBANIZACION Y SERVICIOS COMUNITARIOS</th>\n",
       "      <td>2.35510e+10</td>\n",
       "      <td>9.90229e+10</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.12771e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08 - SALUD</th>\n",
       "      <td>1.79933e+09</td>\n",
       "      <td>6.12886e+09</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>7.90331e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09 - ACTIVIDADES DEPORTIVAS, RECREATIVAS, CULTURA Y RELIGION</th>\n",
       "      <td>2.02757e+09</td>\n",
       "      <td>1.08670e+10</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.33765e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1 - ADMINISTRACION GENERAL</th>\n",
       "      <td>2.22609e+10</td>\n",
       "      <td>1.53756e+11</td>\n",
       "      <td>2.87329e+11</td>\n",
       "      <td>2.86671e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 - EDUCACION</th>\n",
       "      <td>7.38670e+09</td>\n",
       "      <td>2.92963e+10</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>3.05241e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11 - PROTECCION SOCIAL</th>\n",
       "      <td>6.06386e+08</td>\n",
       "      <td>7.10021e+09</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.26944e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 - TRANSACCIONES DE LA DEUDA PUBLICA</th>\n",
       "      <td>1.94713e+10</td>\n",
       "      <td>6.97031e+10</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>8.69565e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2 - DEFENSA Y SEGURIDAD INTERNA</th>\n",
       "      <td>2.69279e+08</td>\n",
       "      <td>1.41168e+09</td>\n",
       "      <td>1.11557e+10</td>\n",
       "      <td>1.11701e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3 - SERVICIOS SOCIALES</th>\n",
       "      <td>2.46567e+10</td>\n",
       "      <td>1.48437e+11</td>\n",
       "      <td>2.16065e+11</td>\n",
       "      <td>2.13887e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4 - SERVICIOS ECONOMICOS</th>\n",
       "      <td>2.27707e+10</td>\n",
       "      <td>1.67108e+11</td>\n",
       "      <td>2.47066e+11</td>\n",
       "      <td>2.43517e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5 - DEUDA PUBLICA</th>\n",
       "      <td>2.54276e+09</td>\n",
       "      <td>1.80157e+10</td>\n",
       "      <td>2.89121e+10</td>\n",
       "      <td>2.89121e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6 - OTROS NO CLASIFICABLES</th>\n",
       "      <td>6.22515e+09</td>\n",
       "      <td>4.34632e+10</td>\n",
       "      <td>9.32827e+10</td>\n",
       "      <td>9.31423e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sin Finalidad</th>\n",
       "      <td>4.70091e+10</td>\n",
       "      <td>2.17238e+11</td>\n",
       "      <td>1.23702e+10</td>\n",
       "      <td>5.18558e+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       APROBADO    RETRASADO  \\\n",
       "FUNC1                                                                          \n",
       "01 - SERVICIOS PUBLICOS GENERALES                   2.12896e+10  9.39864e+10   \n",
       "02 - DEFENSA                                        7.65149e+06  4.85768e+07   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA            1.54112e+09  4.62692e+09   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS      2.02693e+08  1.46343e+09   \n",
       "05 - ASUNTOS ECONOMICOS                             3.53597e+10  1.16573e+11   \n",
       "06 - PROTECCION AMBIENTAL                           6.82913e+09  2.43591e+10   \n",
       "07 - URBANIZACION Y SERVICIOS COMUNITARIOS          2.35510e+10  9.90229e+10   \n",
       "08 - SALUD                                          1.79933e+09  6.12886e+09   \n",
       "09 - ACTIVIDADES DEPORTIVAS, RECREATIVAS, CULTU...  2.02757e+09  1.08670e+10   \n",
       "1 - ADMINISTRACION GENERAL                          2.22609e+10  1.53756e+11   \n",
       "10 - EDUCACION                                      7.38670e+09  2.92963e+10   \n",
       "11 - PROTECCION SOCIAL                              6.06386e+08  7.10021e+09   \n",
       "12 - TRANSACCIONES DE LA DEUDA PUBLICA              1.94713e+10  6.97031e+10   \n",
       "2 - DEFENSA Y SEGURIDAD INTERNA                     2.69279e+08  1.41168e+09   \n",
       "3 - SERVICIOS SOCIALES                              2.46567e+10  1.48437e+11   \n",
       "4 - SERVICIOS ECONOMICOS                            2.27707e+10  1.67108e+11   \n",
       "5 - DEUDA PUBLICA                                   2.54276e+09  1.80157e+10   \n",
       "6 - OTROS NO CLASIFICABLES                          6.22515e+09  4.34632e+10   \n",
       "Sin Finalidad                                       4.70091e+10  2.17238e+11   \n",
       "\n",
       "                                                      EJECUTADO       PAGADO  \n",
       "FUNC1                                                                         \n",
       "01 - SERVICIOS PUBLICOS GENERALES                   0.00000e+00  1.46451e+11  \n",
       "02 - DEFENSA                                        0.00000e+00  1.15252e+08  \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA            0.00000e+00  9.71618e+09  \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS      0.00000e+00  1.90633e+09  \n",
       "05 - ASUNTOS ECONOMICOS                             0.00000e+00  1.08795e+11  \n",
       "06 - PROTECCION AMBIENTAL                           0.00000e+00  3.15289e+10  \n",
       "07 - URBANIZACION Y SERVICIOS COMUNITARIOS          0.00000e+00  1.12771e+11  \n",
       "08 - SALUD                                          0.00000e+00  7.90331e+09  \n",
       "09 - ACTIVIDADES DEPORTIVAS, RECREATIVAS, CULTU...  0.00000e+00  1.33765e+10  \n",
       "1 - ADMINISTRACION GENERAL                          2.87329e+11  2.86671e+11  \n",
       "10 - EDUCACION                                      0.00000e+00  3.05241e+10  \n",
       "11 - PROTECCION SOCIAL                              0.00000e+00  1.26944e+10  \n",
       "12 - TRANSACCIONES DE LA DEUDA PUBLICA              0.00000e+00  8.69565e+10  \n",
       "2 - DEFENSA Y SEGURIDAD INTERNA                     1.11557e+10  1.11701e+10  \n",
       "3 - SERVICIOS SOCIALES                              2.16065e+11  2.13887e+11  \n",
       "4 - SERVICIOS ECONOMICOS                            2.47066e+11  2.43517e+11  \n",
       "5 - DEUDA PUBLICA                                   2.89121e+10  2.89121e+10  \n",
       "6 - OTROS NO CLASIFICABLES                          9.32827e+10  9.31423e+10  \n",
       "Sin Finalidad                                       1.23702e+10  5.18558e+11  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "func_p = mi_muni_d.groupby([\"FUNC1\"]).sum()\n",
    "func_dep = mi_muni_d.groupby([\"FUNC1\",\"DEPTO\"]).sum()\n",
    "func_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "func_dep_flat = func_dep.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>CHIQUIMULA</th>\n",
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       "      <th>IZABAL</th>\n",
       "      <th>JALAPA</th>\n",
       "      <th>...</th>\n",
       "      <th>QUETZALTENANGO</th>\n",
       "      <th>QUICHE</th>\n",
       "      <th>RETALHULEU</th>\n",
       "      <th>SACATEPEQUEZ</th>\n",
       "      <th>SAN MARCOS</th>\n",
       "      <th>SANTA ROSA</th>\n",
       "      <th>SOLOLA</th>\n",
       "      <th>SUCHITEPEQUEZ</th>\n",
       "      <th>TOTONICAPAN</th>\n",
       "      <th>ZACAPA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FUNC1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01 - SERVICIOS PUBLICOS GENERALES</th>\n",
       "      <td>2.65028e+09</td>\n",
       "      <td>5.44695e+08</td>\n",
       "      <td>6.02520e+08</td>\n",
       "      <td>1.45687e+09</td>\n",
       "      <td>5.06434e+08</td>\n",
       "      <td>1.82266e+09</td>\n",
       "      <td>4.99280e+09</td>\n",
       "      <td>1.26883e+09</td>\n",
       "      <td>1.95440e+08</td>\n",
       "      <td>4.06992e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>5.56908e+09</td>\n",
       "      <td>3.55170e+09</td>\n",
       "      <td>3.88756e+09</td>\n",
       "      <td>1.42191e+10</td>\n",
       "      <td>6.86290e+09</td>\n",
       "      <td>5.26960e+09</td>\n",
       "      <td>5.25078e+09</td>\n",
       "      <td>3.65925e+09</td>\n",
       "      <td>1.48548e+09</td>\n",
       "      <td>7.83247e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02 - DEFENSA</th>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>4.18211e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.25551e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.25311e+05</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.80000e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.50000e+01</td>\n",
       "      <td>4.45000e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.81500e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA</th>\n",
       "      <td>4.15592e+08</td>\n",
       "      <td>2.73807e+06</td>\n",
       "      <td>1.73070e+07</td>\n",
       "      <td>1.20563e+08</td>\n",
       "      <td>3.46200e+05</td>\n",
       "      <td>8.40011e+06</td>\n",
       "      <td>7.54022e+07</td>\n",
       "      <td>8.85087e+07</td>\n",
       "      <td>1.34582e+06</td>\n",
       "      <td>4.66579e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>1.11593e+09</td>\n",
       "      <td>9.09038e+07</td>\n",
       "      <td>3.09004e+08</td>\n",
       "      <td>2.05695e+09</td>\n",
       "      <td>2.18261e+07</td>\n",
       "      <td>1.47161e+07</td>\n",
       "      <td>2.27009e+08</td>\n",
       "      <td>8.04501e+08</td>\n",
       "      <td>3.30255e+07</td>\n",
       "      <td>5.84190e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04 - ATENCION A DESASTRES Y GESTION DE RIESGOS</th>\n",
       "      <td>1.65910e+06</td>\n",
       "      <td>1.21105e+06</td>\n",
       "      <td>1.55504e+06</td>\n",
       "      <td>1.00000e+05</td>\n",
       "      <td>0.00000e+00</td>\n",
       "      <td>1.09773e+08</td>\n",
       "      <td>1.60380e+07</td>\n",
       "      <td>7.50000e+04</td>\n",
       "      <td>8.19824e+05</td>\n",
       "      <td>1.25000e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.74758e+06</td>\n",
       "      <td>1.42707e+07</td>\n",
       "      <td>2.55000e+04</td>\n",
       "      <td>1.97266e+08</td>\n",
       "      <td>8.83148e+07</td>\n",
       "      <td>1.64157e+05</td>\n",
       "      <td>2.05584e+08</td>\n",
       "      <td>1.63782e+08</td>\n",
       "      <td>2.30420e+07</td>\n",
       "      <td>3.34638e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05 - ASUNTOS ECONOMICOS</th>\n",
       "      <td>2.18998e+10</td>\n",
       "      <td>9.96920e+08</td>\n",
       "      <td>8.61639e+08</td>\n",
       "      <td>5.23307e+08</td>\n",
       "      <td>7.35246e+07</td>\n",
       "      <td>1.12597e+09</td>\n",
       "      <td>6.27814e+08</td>\n",
       "      <td>3.92554e+09</td>\n",
       "      <td>4.30563e+08</td>\n",
       "      <td>9.99355e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>9.02544e+09</td>\n",
       "      <td>5.93387e+09</td>\n",
       "      <td>3.12895e+09</td>\n",
       "      <td>5.35538e+09</td>\n",
       "      <td>5.26815e+09</td>\n",
       "      <td>1.59234e+09</td>\n",
       "      <td>4.55446e+09</td>\n",
       "      <td>2.28815e+09</td>\n",
       "      <td>1.23100e+09</td>\n",
       "      <td>1.34795e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 88 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   APROBADO               \\\n",
       "DEPTO                                          ALTA VERAPAZ BAJA VERAPAZ   \n",
       "FUNC1                                                                      \n",
       "01 - SERVICIOS PUBLICOS GENERALES               2.65028e+09  5.44695e+08   \n",
       "02 - DEFENSA                                    0.00000e+00  4.18211e+06   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        4.15592e+08  2.73807e+06   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  1.65910e+06  1.21105e+06   \n",
       "05 - ASUNTOS ECONOMICOS                         2.18998e+10  9.96920e+08   \n",
       "\n",
       "                                                                           \\\n",
       "DEPTO                                          CHIMALTENANGO   CHIQUIMULA   \n",
       "FUNC1                                                                       \n",
       "01 - SERVICIOS PUBLICOS GENERALES                6.02520e+08  1.45687e+09   \n",
       "02 - DEFENSA                                             NaN  1.25551e+06   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA         1.73070e+07  1.20563e+08   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS   1.55504e+06  1.00000e+05   \n",
       "05 - ASUNTOS ECONOMICOS                          8.61639e+08  5.23307e+08   \n",
       "\n",
       "                                                                          \\\n",
       "DEPTO                                           EL PROGRESO    ESCUINTLA   \n",
       "FUNC1                                                                      \n",
       "01 - SERVICIOS PUBLICOS GENERALES               5.06434e+08  1.82266e+09   \n",
       "02 - DEFENSA                                            NaN  8.25311e+05   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        3.46200e+05  8.40011e+06   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  0.00000e+00  1.09773e+08   \n",
       "05 - ASUNTOS ECONOMICOS                         7.35246e+07  1.12597e+09   \n",
       "\n",
       "                                                                           \\\n",
       "DEPTO                                             GUATEMALA HUEHUETENANGO   \n",
       "FUNC1                                                                       \n",
       "01 - SERVICIOS PUBLICOS GENERALES               4.99280e+09   1.26883e+09   \n",
       "02 - DEFENSA                                    0.00000e+00           NaN   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        7.54022e+07   8.85087e+07   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  1.60380e+07   7.50000e+04   \n",
       "05 - ASUNTOS ECONOMICOS                         6.27814e+08   3.92554e+09   \n",
       "\n",
       "                                                                          \\\n",
       "DEPTO                                                IZABAL       JALAPA   \n",
       "FUNC1                                                                      \n",
       "01 - SERVICIOS PUBLICOS GENERALES               1.95440e+08  4.06992e+08   \n",
       "02 - DEFENSA                                            NaN  5.80000e+05   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        1.34582e+06  4.66579e+07   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  8.19824e+05  1.25000e+05   \n",
       "05 - ASUNTOS ECONOMICOS                         4.30563e+08  9.99355e+07   \n",
       "\n",
       "                                                   ...              PAGADO  \\\n",
       "DEPTO                                              ...      QUETZALTENANGO   \n",
       "FUNC1                                              ...                       \n",
       "01 - SERVICIOS PUBLICOS GENERALES                  ...         5.56908e+09   \n",
       "02 - DEFENSA                                       ...         6.50000e+01   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA           ...         1.11593e+09   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS     ...         3.74758e+06   \n",
       "05 - ASUNTOS ECONOMICOS                            ...         9.02544e+09   \n",
       "\n",
       "                                                                          \\\n",
       "DEPTO                                                QUICHE   RETALHULEU   \n",
       "FUNC1                                                                      \n",
       "01 - SERVICIOS PUBLICOS GENERALES               3.55170e+09  3.88756e+09   \n",
       "02 - DEFENSA                                    4.45000e+04          NaN   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        9.09038e+07  3.09004e+08   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  1.42707e+07  2.55000e+04   \n",
       "05 - ASUNTOS ECONOMICOS                         5.93387e+09  3.12895e+09   \n",
       "\n",
       "                                                                          \\\n",
       "DEPTO                                          SACATEPEQUEZ   SAN MARCOS   \n",
       "FUNC1                                                                      \n",
       "01 - SERVICIOS PUBLICOS GENERALES               1.42191e+10  6.86290e+09   \n",
       "02 - DEFENSA                                            NaN          NaN   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        2.05695e+09  2.18261e+07   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  1.97266e+08  8.83148e+07   \n",
       "05 - ASUNTOS ECONOMICOS                         5.35538e+09  5.26815e+09   \n",
       "\n",
       "                                                                          \\\n",
       "DEPTO                                            SANTA ROSA       SOLOLA   \n",
       "FUNC1                                                                      \n",
       "01 - SERVICIOS PUBLICOS GENERALES               5.26960e+09  5.25078e+09   \n",
       "02 - DEFENSA                                    2.81500e+04          NaN   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        1.47161e+07  2.27009e+08   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  1.64157e+05  2.05584e+08   \n",
       "05 - ASUNTOS ECONOMICOS                         1.59234e+09  4.55446e+09   \n",
       "\n",
       "                                                                           \\\n",
       "DEPTO                                          SUCHITEPEQUEZ  TOTONICAPAN   \n",
       "FUNC1                                                                       \n",
       "01 - SERVICIOS PUBLICOS GENERALES                3.65925e+09  1.48548e+09   \n",
       "02 - DEFENSA                                             NaN          NaN   \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA         8.04501e+08  3.30255e+07   \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS   1.63782e+08  2.30420e+07   \n",
       "05 - ASUNTOS ECONOMICOS                          2.28815e+09  1.23100e+09   \n",
       "\n",
       "                                                             \n",
       "DEPTO                                                ZACAPA  \n",
       "FUNC1                                                        \n",
       "01 - SERVICIOS PUBLICOS GENERALES               7.83247e+09  \n",
       "02 - DEFENSA                                    0.00000e+00  \n",
       "03 - ORDEN PUBLICO Y SEGURIDAD CIUDADANA        5.84190e+08  \n",
       "04 - ATENCION A DESASTRES Y GESTION DE RIESGOS  3.34638e+08  \n",
       "05 - ASUNTOS ECONOMICOS                         1.34795e+09  \n",
       "\n",
       "[5 rows x 88 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "func_dep_flat.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graficando"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a2b77c518>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/YWZmRs2aNfnXv/4FQEpKCtOmTQMgKCgIJycnpW52djYWFha4ubnh5uZG69at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\nDzIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6a2b781cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "func_p.plot(kind=\"barh\", figsize=(8,6), linewidth=2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vemos entonces que sobre estas categorias, hay una jerarquia bastante clara: los gastos administrativos, servicios economicos y sociales son los mas asignados. Usando un clustermap (una variación de mapas choropleto) podemos ver estos valores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3VtWOrf72wJ2TnOpuVXXzQP+vA54DPLGqfpvkPsDe7fC7gHsD21fVsiSvBE5J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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4cadd881d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(func_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}