Ejercicio_10.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Enunciado\n",
    "\n",
    "> Se pretende construir una planta desalinizadora de agua, con el fin de proporcionar agua potable a ciertas poblaciones en las que escasea. Usted, como encargado de la planificación de la ejecución de este proyecto, decide que la descomposición en tareas y sus precedencias es la que se muestra en la tabla adjunta, donde la duración se expresa en meses.\n",
    ">\n",
    "> Tras un detenido análisis del proyecto en cuestión, usted ha llegado a la conclusión de que no es posible que la tarea J empece nada más terminar la tarea A, sino que es absolutamente necesario que para que se pueda empezar a ejecutar la tarea J debe de haber transcurrido un mes después de terminar la tarea A. Se pide:\n",
    ">\n",
    ">   1. Dibujar el diagrama PERT del proyecto y caracterícelo mediante una función Normal. \n",
    ">\n",
    ">   2. Como no está conforme con la duración del proyecto que resulta, desea reducir la duración del proyecto en 1 mes con el mínimo incremento de coste posible. ¿Qué tareas deben ser reducidas?.\n",
    ">\n",
    ">   3. Debido al racionamiento de combustible diesel que sufre la isla, durante el proyecto sólo será posible disponer de 250 litros de gasoil cada semana; y debido a la falta de previsión de los responsables del proyecto, que no solicitaron permiso para el almacenamiento de combustible, no es posible guardar el sobrante de una semana para consumirlo la siguiente. Por otro lado las necesidades de consumo de gasoil que usted planifica son las que se muestran en la tabla. ¿Se encuentra bien nivelado el consumo de gasoil?. ¿Se encuentra bien asignado?. Si no es así ¿qué recomienda hacer para asignar correctamente el consumo de combustible?. ¿Qué consecuencias traerá la asignación correcta del combustible en este proyecto en concreto?."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precedentes</th>\n",
       "      <th>duracion</th>\n",
       "      <th>varianza</th>\n",
       "      <th>coste</th>\n",
       "      <th>litros</th>\n",
       "      <th>duracion_tope</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actividad</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>A</th>\n",
       "      <td>---</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>600-60t</td>\n",
       "      <td>210</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>---</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>300-20t</td>\n",
       "      <td>150</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>B</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100-30t</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>B</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>300-25t</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>B</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>200-30t</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>C,D</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100-10t</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>D,E</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>200-10t</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>150-50t</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>K</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>500-50t</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>100-10t</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K</th>\n",
       "      <td>A</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>300-10t</td>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          precedentes  duracion  varianza    coste  litros  duracion_tope\n",
       "actividad                                                                \n",
       "A                 ---         5         2  600-60t     210              2\n",
       "B                 ---         5         1  300-20t     150              2\n",
       "C                 B           1         1  100-30t      50              1\n",
       "D                 B           5         1  300-25t      75              1\n",
       "E                 B           2         1  200-30t      25              1\n",
       "F                 C,D         1         1  100-10t      75              1\n",
       "G                 D,E         2         1  200-10t      75              2\n",
       "H                 E           2         1  150-50t       0              1\n",
       "I                 K           4         1  500-50t     100              3\n",
       "J                 A           2         1  100-10t      50              1\n",
       "K                 A           3         1  300-10t      50              3"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Alargamos el ancho de las celdas al 100%\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "datos_enunciado = pd.DataFrame([\n",
    "#  actividad, precedentes, duracion, varianza, coste,   litros, duracion_tope\n",
    "  ('A',       '---',               5,        2,    '600-60t',   210,    2),\n",
    "  ('B',       '---',               5,        1,    '300-20t',   150,    2),\n",
    "  ('C',       'B  ',               1,        1,    '100-30t',    50,    1),\n",
    "  ('D',       'B  ',               5,        1,    '300-25t',    75,    1),\n",
    "  ('E',       'B  ',               2,        1,    '200-30t',    25,    1),\n",
    "  ('F',       'C,D',               1,        1,    '100-10t',    75,    1),\n",
    "  ('G',       'D,E',               2,        1,    '200-10t',    75,    2),\n",
    "  ('H',       'E  ',               2,        1,    '150-50t',     0,    1),\n",
    "  ('I',       'K  ',               4,        1,    '500-50t',   100,    3),\n",
    "  ('J',       'A  ',               2,        1,    '100-10t',    50,    1),\n",
    "  ('K',       'A  ',               3,        1,    '300-10t',    50,    3),\n",
    "] ,columns=['actividad', 'precedentes', 'duracion', 'varianza', 'coste', 'litros', 'duracion_tope']).set_index('actividad')\n",
    "\n",
    "datos_enunciado"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Solución\n",
    "### Apartado 1\n",
    "\n",
    "\n",
    "> Dibujar el diagrama PERT del proyecto y caracterícelo mediante una función Normal. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "En pmule (project management at ULE) está el código que utilizamos para calcular los valores del PERT."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pmule import calcula_encadenamientos, GrafoProyecto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>actividad</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "      <th>E</th>\n",
       "      <th>F</th>\n",
       "      <th>G</th>\n",
       "      <th>H</th>\n",
       "      <th>I</th>\n",
       "      <th>J</th>\n",
       "      <th>K</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actividad</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>A</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K</th>\n",
       "      <td>True</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "actividad     A     B     C     D     E F G H I J     K\n",
       "actividad                                              \n",
       "A                                                      \n",
       "B                                                      \n",
       "C                True                                  \n",
       "D                True                                  \n",
       "E                True                                  \n",
       "F                      True  True                      \n",
       "G                            True  True                \n",
       "H                                  True                \n",
       "I                                                  True\n",
       "J          True                                        \n",
       "K          True                                        "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calcula_encadenamientos(datos_enunciado.precedentes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La clase PertGraph permite visualizar el grafo PERT, el diagrama de Gantt así como realizar el cálculo de tiempos tempranos, tardíos y de las holguras totales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precedentes</th>\n",
       "      <th>duracion</th>\n",
       "      <th>varianza</th>\n",
       "      <th>coste</th>\n",
       "      <th>litros</th>\n",
       "      <th>duracion_tope</th>\n",
       "      <th>nodo_inicial</th>\n",
       "      <th>nodo_final</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actividad</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>A</th>\n",
       "      <td>---</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>600-60t</td>\n",
       "      <td>210.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>---</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>300-20t</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>B</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100-30t</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>B</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>300-25t</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>B</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>200-30t</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>C,D</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100-10t</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>D,E</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>200-10t</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td>E</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>150-50t</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>K</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>500-50t</td>\n",
       "      <td>100.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>A</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100-10t</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K</th>\n",
       "      <td>A</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>300-10t</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          precedentes  duracion  varianza    coste  litros  duracion_tope  \\\n",
       "actividad                                                                   \n",
       "A                 ---       5.0       2.0  600-60t   210.0            2.0   \n",
       "B                 ---       5.0       1.0  300-20t   150.0            2.0   \n",
       "C                 B         1.0       1.0  100-30t    50.0            1.0   \n",
       "D                 B         5.0       1.0  300-25t    75.0            1.0   \n",
       "E                 B         2.0       1.0  200-30t    25.0            1.0   \n",
       "F                 C,D       1.0       1.0  100-10t    75.0            1.0   \n",
       "G                 D,E       2.0       1.0  200-10t    75.0            2.0   \n",
       "H                 E         2.0       1.0  150-50t     0.0            1.0   \n",
       "I                 K         4.0       1.0  500-50t   100.0            3.0   \n",
       "J                 A         2.0       1.0  100-10t    50.0            1.0   \n",
       "K                 A         3.0       1.0  300-10t    50.0            3.0   \n",
       "f1                NaN       1.0       NaN      NaN     NaN            NaN   \n",
       "f2                NaN       0.0       NaN      NaN     NaN            NaN   \n",
       "f3                NaN       0.0       NaN      NaN     NaN            NaN   \n",
       "\n",
       "           nodo_inicial  nodo_final  \n",
       "actividad                            \n",
       "A                     1           2  \n",
       "B                     1           5  \n",
       "C                     5           8  \n",
       "D                     5           7  \n",
       "E                     5           6  \n",
       "F                     8           9  \n",
       "G                     7           9  \n",
       "H                     6           9  \n",
       "I                     4           9  \n",
       "J                     3           9  \n",
       "K                     2           4  \n",
       "f1                    2           3  \n",
       "f2                    6           7  \n",
       "f3                    7           8  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aristas = pd.DataFrame([\n",
    "# actividad, nodo_inicial, nodo_final\n",
    "  (  'A',         1,           2     ),\n",
    "  (  'B',         1,           5     ),\n",
    "  (  'C',         5,           8     ),\n",
    "  (  'D',         5,           7     ),\n",
    "  (  'E',         5,           6     ),\n",
    "  (  'F',         8,           9     ),\n",
    "  (  'G',         7,           9     ),\n",
    "  (  'H',         6,           9     ),\n",
    "  (  'I',         4,           9     ),\n",
    "  (  'J',         3,           9     ),\n",
    "  (  'K',         2,           4     ),\n",
    "  (  'f1',        2,           3     ),\n",
    "  (  'f2',        6,           7     ),\n",
    "  (  'f3',        7,           8     ), \n",
    "] ,columns=['actividad', 'nodo_inicial', 'nodo_final']).set_index('actividad')\n",
    "\n",
    "datos_proyecto = pd.concat([datos_enunciado, aristas], axis=1, sort=False).set_index(aristas.index)\n",
    "datos_proyecto.loc['f1', 'duracion']=1\n",
    "datos_proyecto.loc['f2', 'duracion']=0\n",
    "datos_proyecto.loc['f3', 'duracion']=0\n",
    "\n",
    "datos_proyecto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para resolver la reducción del proyecto con mínimo coste esnecesario obtener el valor del coste unitario de reducción a partir de los datos del enunciado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "actividad\n",
       "A     600-60t\n",
       "B     300-20t\n",
       "C     100-30t\n",
       "D     300-25t\n",
       "E     200-30t\n",
       "F     100-10t\n",
       "G     200-10t\n",
       "H     150-50t\n",
       "I     500-50t\n",
       "J     100-10t\n",
       "K     300-10t\n",
       "f1        NaN\n",
       "f2        NaN\n",
       "f3        NaN\n",
       "Name: coste, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_proyecto['coste']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para obtener el coste unitario de reducción debemos quedarnos únicamente con el coeficiente que multiplica a la variable duración 't'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "actividad\n",
       "A     60.0\n",
       "B     20.0\n",
       "C     30.0\n",
       "D     25.0\n",
       "E     30.0\n",
       "F     10.0\n",
       "G     10.0\n",
       "H     50.0\n",
       "I     50.0\n",
       "J     10.0\n",
       "K     10.0\n",
       "f1     NaN\n",
       "f2     NaN\n",
       "f3     NaN\n",
       "Name: cur, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_proyecto['cur'] = ( datos_proyecto.loc[:, 'coste']\n",
    "                          .str.split('[-+]', expand=True)[1]\n",
    "                          .str.split('t', expand=True)[0]\n",
    "                          .astype(float))\n",
    "datos_proyecto['cur']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Grafo PERT con numeración de nodos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto = GrafoProyecto(datos_proyecto)\n",
    "\n",
    "proyecto.pert(duraciones=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Matriz de Zaderenko "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>temprano</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tardios</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         1  2   3  4  5   6   7   8   9 temprano\n",
       "1           5         5                        0\n",
       "2               1  3                           5\n",
       "3                                     2        6\n",
       "4                                     4        8\n",
       "5                         2   5   1            5\n",
       "6                             0       2        7\n",
       "7                                 0   2       10\n",
       "8                                     1       10\n",
       "9                                             12\n",
       "tardios  0  5  10  8  5  10  10  11  12         "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto.resolver_zaderenko()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tempranos</th>\n",
       "      <th>tardios</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   tempranos  tardios\n",
       "1        0.0      0.0\n",
       "5        5.0      5.0\n",
       "6        7.0     10.0\n",
       "7       10.0     10.0\n",
       "8       10.0     11.0\n",
       "2        5.0      5.0\n",
       "3        6.0     10.0\n",
       "4        8.0      8.0\n",
       "9       12.0     12.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultados_pert = proyecto.calcula_pert(duraciones=datos_proyecto['duracion'])\n",
    "resultados_pert['nodos']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>H_total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1</th>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f2</th>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f3</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    H_total\n",
       "A       0.0\n",
       "B       0.0\n",
       "K       0.0\n",
       "f1      4.0\n",
       "J       4.0\n",
       "I       0.0\n",
       "C       5.0\n",
       "D       0.0\n",
       "E       3.0\n",
       "H       3.0\n",
       "f2      3.0\n",
       "G       0.0\n",
       "f3      1.0\n",
       "F       1.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultados_pert['actividades']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['A', 'B', 'K', 'I', 'D', 'G'], dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "camino_critico = proyecto.camino_critico(datos_proyecto['duracion'])\n",
    "camino_critico"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Grafo PERT con indicación de tiempos obtenidos de acuerdo a la planificación inicial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto.pert()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La duración media del proyecto ya la tenemos calculada:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duracion_media_proyecto = proyecto.duracion_proyecto()\n",
    "duracion_media_proyecto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para determinar la desviación típica debemos obtener en cada rama del camino crítico la suma de las varianzas, y quedarnos con la mayor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "rama_1 = ['A', 'K', 'I']\n",
    "rama_2 = ['B', 'D', 'G']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Desviación rama: A-K-I : 2.0\n",
      "Desviación rama: B-D-G : 1.7320508075688772\n",
      "Varianza del proyecto: 4.0\n",
      "Desviación del proyecto: 2.0\n"
     ]
    }
   ],
   "source": [
    "desviacion_proyecto = proyecto.desviacion_proyecto(rama_1, rama_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El proyecto sigue una distribución normal con media 12 y desviación típica 2."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apartado 2\n",
    "\n",
    "> Como no está conforme con la duración del proyecto que resulta, desea reducir la duración del proyecto en 1 mes con el mínimo incremento de coste posible. ¿Qué tareas deben ser reducidas?."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se aborda la solución de este apartado mediante la récnica de reducción de la duración del proyecto con mínimo coste."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Situación inicial de partida"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto_reduccion = proyecto.copy()\n",
    "proyecto_reduccion.pert()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reducción de la duración del proyecto en un periodo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analizamos los costes unitarios de reducción y la capacidad de reducción de cada tarea de las ramas críticas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cur</th>\n",
       "      <th>duracion</th>\n",
       "      <th>duracion_tope</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actividad</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>K</th>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>50.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>60.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            cur  duracion  duracion_tope\n",
       "actividad                               \n",
       "K          10.0       3.0            3.0\n",
       "I          50.0       4.0            3.0\n",
       "A          60.0       5.0            2.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto_reduccion.cur_ordenado(rama_1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En la rama A-K-I la actividad más barata es la K, pero ya está en su duración tope. La siguiente más barata es la I, que dispone de un periodo de reducción. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cur</th>\n",
       "      <th>duracion</th>\n",
       "      <th>duracion_tope</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actividad</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>20.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            cur  duracion  duracion_tope\n",
       "actividad                               \n",
       "G          10.0       2.0            2.0\n",
       "B          20.0       5.0            2.0\n",
       "D          25.0       5.0            1.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto_reduccion.cur_ordenado(rama_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En la rama B-D-G la actividad más barata es la G pero ya está en su duración tope. La siguiente más barata es la B que dispone de 3 periodos de reducción.\n",
    "\n",
    "Se propone reducir la B y la I."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sobrecoste de la reducción: 70.0\n"
     ]
    }
   ],
   "source": [
    "proyecto_reduccion.reducir(B = 1, I = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto_reduccion.pert()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apartado 3. \n",
    "> Debido al racionamiento de combustible diesel que sufre la isla, durante el proyecto sólo será posible disponer de 250 litros de gasoil cada semana; y debido a la falta de previsión de los responsables del proyecto, que no solicitaron permiso para el almacenamiento de combustible, no es posible guardar el sobrante de una semana para consumirlo la siguiente. Por otro lado las necesidades de consumo de gasoil que usted planifica son las que se muestran en la tabla. ¿Se encuentra bien nivelado el consumo de gasoil?. ¿Se encuentra bien asignado?. Si no es así ¿qué recomienda hacer para asignar correctamente el consumo de combustible?. ¿Qué consecuencias traerá la asignación correcta del combustible en este proyecto en concreto?."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>litros_por_mes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>actividad</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G</th>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H</th>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J</th>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>K</th>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f2</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f3</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           litros_por_mes\n",
       "actividad                \n",
       "A                   840.0\n",
       "B                   600.0\n",
       "C                   200.0\n",
       "D                   300.0\n",
       "E                   100.0\n",
       "F                   300.0\n",
       "G                   300.0\n",
       "H                     0.0\n",
       "I                   400.0\n",
       "J                   200.0\n",
       "K                   200.0\n",
       "f1                    NaN\n",
       "f2                    NaN\n",
       "f3                    NaN"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_proyecto['litros_por_mes'] = 4 * datos_enunciado['litros']   # Se considera el gasto mensual 4 veces el coste semanal\n",
    "datos_proyecto[['litros_por_mes']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "proyecto_asignacion = GrafoProyecto(data=datos_proyecto)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
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       "            : ;\n",
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       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col8 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row7_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col8 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col9 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col11 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row8_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col6 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row9_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col5 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col6 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row10_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col5 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row11_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col0 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col1 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col2 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col3 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col4 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col5 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col6 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col8 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col9 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col11 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0ca48790_4584_11e9_bde5_3c0754343771row12_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            background:  #f7f7f9;\n",
       "        }</style>  \n",
       "<table id=\"T_0ca48790_4584_11e9_bde5_3c0754343771\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >1</th> \n",
       "        <th class=\"col_heading level0 col1\" >2</th> \n",
       "        <th class=\"col_heading level0 col2\" >3</th> \n",
       "        <th class=\"col_heading level0 col3\" >4</th> \n",
       "        <th class=\"col_heading level0 col4\" >5</th> \n",
       "        <th class=\"col_heading level0 col5\" >6</th> \n",
       "        <th class=\"col_heading level0 col6\" >7</th> \n",
       "        <th class=\"col_heading level0 col7\" >8</th> \n",
       "        <th class=\"col_heading level0 col8\" >9</th> \n",
       "        <th class=\"col_heading level0 col9\" >10</th> \n",
       "        <th class=\"col_heading level0 col10\" >11</th> \n",
       "        <th class=\"col_heading level0 col11\" >12</th> \n",
       "        <th class=\"col_heading level0 col12\" >H_total</th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row0\" class=\"row_heading level0 row0\" >A</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col0\" class=\"data row0 col0\" >840</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col1\" class=\"data row0 col1\" >840</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col2\" class=\"data row0 col2\" >840</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col3\" class=\"data row0 col3\" >840</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col4\" class=\"data row0 col4\" >840</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col5\" class=\"data row0 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col6\" class=\"data row0 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col7\" class=\"data row0 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col8\" class=\"data row0 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col9\" class=\"data row0 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col10\" class=\"data row0 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col11\" class=\"data row0 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row0_col12\" class=\"data row0 col12\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row1\" class=\"row_heading level0 row1\" >B</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col0\" class=\"data row1 col0\" >600</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col1\" class=\"data row1 col1\" >600</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col2\" class=\"data row1 col2\" >600</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col3\" class=\"data row1 col3\" >600</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col4\" class=\"data row1 col4\" >600</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col5\" class=\"data row1 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col6\" class=\"data row1 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col7\" class=\"data row1 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col8\" class=\"data row1 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col9\" class=\"data row1 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col10\" class=\"data row1 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col11\" class=\"data row1 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row1_col12\" class=\"data row1 col12\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row2\" class=\"row_heading level0 row2\" >C</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col0\" class=\"data row2 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col1\" class=\"data row2 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col2\" class=\"data row2 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col3\" class=\"data row2 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col4\" class=\"data row2 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col5\" class=\"data row2 col5\" >200</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col6\" class=\"data row2 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col7\" class=\"data row2 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col8\" class=\"data row2 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col9\" class=\"data row2 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col10\" class=\"data row2 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col11\" class=\"data row2 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row2_col12\" class=\"data row2 col12\" >5</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row3\" class=\"row_heading level0 row3\" >D</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col0\" class=\"data row3 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col1\" class=\"data row3 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col2\" class=\"data row3 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col3\" class=\"data row3 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col4\" class=\"data row3 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col5\" class=\"data row3 col5\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col6\" class=\"data row3 col6\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col7\" class=\"data row3 col7\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col8\" class=\"data row3 col8\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col9\" class=\"data row3 col9\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col10\" class=\"data row3 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col11\" class=\"data row3 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row3_col12\" class=\"data row3 col12\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row4\" class=\"row_heading level0 row4\" >E</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col0\" class=\"data row4 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col1\" class=\"data row4 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col2\" class=\"data row4 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col3\" class=\"data row4 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col4\" class=\"data row4 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col5\" class=\"data row4 col5\" >100</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col6\" class=\"data row4 col6\" >100</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col7\" class=\"data row4 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col8\" class=\"data row4 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col9\" class=\"data row4 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col10\" class=\"data row4 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col11\" class=\"data row4 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row4_col12\" class=\"data row4 col12\" >3</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row5\" class=\"row_heading level0 row5\" >F</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col0\" class=\"data row5 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col1\" class=\"data row5 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col2\" class=\"data row5 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col3\" class=\"data row5 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col4\" class=\"data row5 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col5\" class=\"data row5 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col6\" class=\"data row5 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col7\" class=\"data row5 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col8\" class=\"data row5 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col9\" class=\"data row5 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col10\" class=\"data row5 col10\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col11\" class=\"data row5 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row5_col12\" class=\"data row5 col12\" >1</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row6\" class=\"row_heading level0 row6\" >G</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col0\" class=\"data row6 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col1\" class=\"data row6 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col2\" class=\"data row6 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col3\" class=\"data row6 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col4\" class=\"data row6 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col5\" class=\"data row6 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col6\" class=\"data row6 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col7\" class=\"data row6 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col8\" class=\"data row6 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col9\" class=\"data row6 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col10\" class=\"data row6 col10\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col11\" class=\"data row6 col11\" >300</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row6_col12\" class=\"data row6 col12\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row7\" class=\"row_heading level0 row7\" >H</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col0\" class=\"data row7 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col1\" class=\"data row7 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col2\" class=\"data row7 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col3\" class=\"data row7 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col4\" class=\"data row7 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col5\" class=\"data row7 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col6\" class=\"data row7 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col7\" class=\"data row7 col7\" >0</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col8\" class=\"data row7 col8\" >0</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col9\" class=\"data row7 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col10\" class=\"data row7 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col11\" class=\"data row7 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row7_col12\" class=\"data row7 col12\" >3</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row8\" class=\"row_heading level0 row8\" >I</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col0\" class=\"data row8 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col1\" class=\"data row8 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col2\" class=\"data row8 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col3\" class=\"data row8 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col4\" class=\"data row8 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col5\" class=\"data row8 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col6\" class=\"data row8 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col7\" class=\"data row8 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col8\" class=\"data row8 col8\" >400</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col9\" class=\"data row8 col9\" >400</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col10\" class=\"data row8 col10\" >400</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col11\" class=\"data row8 col11\" >400</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row8_col12\" class=\"data row8 col12\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row9\" class=\"row_heading level0 row9\" >J</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col0\" class=\"data row9 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col1\" class=\"data row9 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col2\" class=\"data row9 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col3\" class=\"data row9 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col4\" class=\"data row9 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col5\" class=\"data row9 col5\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col6\" class=\"data row9 col6\" >200</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col7\" class=\"data row9 col7\" >200</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col8\" class=\"data row9 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col9\" class=\"data row9 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col10\" class=\"data row9 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col11\" class=\"data row9 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row9_col12\" class=\"data row9 col12\" >4</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row10\" class=\"row_heading level0 row10\" >K</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col0\" class=\"data row10 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col1\" class=\"data row10 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col2\" class=\"data row10 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col3\" class=\"data row10 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col4\" class=\"data row10 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col5\" class=\"data row10 col5\" >200</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col6\" class=\"data row10 col6\" >200</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col7\" class=\"data row10 col7\" >200</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col8\" class=\"data row10 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col9\" class=\"data row10 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col10\" class=\"data row10 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col11\" class=\"data row10 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row10_col12\" class=\"data row10 col12\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row11\" class=\"row_heading level0 row11\" >f1</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col0\" class=\"data row11 col0\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col1\" class=\"data row11 col1\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col2\" class=\"data row11 col2\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col3\" class=\"data row11 col3\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col4\" class=\"data row11 col4\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col5\" class=\"data row11 col5\" >nan</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col6\" class=\"data row11 col6\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col7\" class=\"data row11 col7\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col8\" class=\"data row11 col8\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col9\" class=\"data row11 col9\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col10\" class=\"data row11 col10\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col11\" class=\"data row11 col11\" ></td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row11_col12\" class=\"data row11 col12\" >4</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0ca48790_4584_11e9_bde5_3c0754343771level0_row12\" class=\"row_heading level0 row12\" >Total</th> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col0\" class=\"data row12 col0\" >1440</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col1\" class=\"data row12 col1\" >1440</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col2\" class=\"data row12 col2\" >1440</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col3\" class=\"data row12 col3\" >1440</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col4\" class=\"data row12 col4\" >1440</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col5\" class=\"data row12 col5\" >800</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col6\" class=\"data row12 col6\" >800</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col7\" class=\"data row12 col7\" >700</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col8\" class=\"data row12 col8\" >700</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col9\" class=\"data row12 col9\" >700</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col10\" class=\"data row12 col10\" >1000</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col11\" class=\"data row12 col11\" >700</td> \n",
       "        <td id=\"T_0ca48790_4584_11e9_bde5_3c0754343771row12_col12\" class=\"data row12 col12\" >nan</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0xa23bc4ef0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gantt_recursos = proyecto_asignacion.gantt(representar='litros_por_mes', total='fila', holguras=True)\n",
    "gantt_recursos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(gantt_recursos.data.loc['Total'].drop('H_total').plot(kind='bar'));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La demanda del recurso no se encuantra nivelada.\n",
    "Además, con el máximo disponible de 1000 litros por mes el proyecto no es ejecutable en su estado actual y debe aplicarse el algoritmo de asignación."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Algoritmo de asignación"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Durante los primeros seis periodos no es viable ejecutar A y B. Como ambas son críticas y de misma duración resulta indiferente desplazar una u otra pues en ambos casos esta acción conlleva un retraso del proyecto. Resolvemos el ejercicio desplazando la actividad B."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col8 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col9 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row1_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row2_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col11 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col13 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col14 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row3_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col11 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row4_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col15 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row5_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col15 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col16 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row6_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col13 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row7_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col8 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col9 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col11 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row8_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col6 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row9_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col5 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col6 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row10_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col0 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col1 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col2 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col3 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col4 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col5 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row11_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col0 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col1 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col2 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col3 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col4 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col5 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col6 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col7 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col8 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col9 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col10 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col11 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col12 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col13 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col14 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col15 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col16 {\n",
       "            background-color:  white;\n",
       "            : ;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row12_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            : ;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col0 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col1 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col2 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col3 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col4 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col5 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col6 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col7 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col8 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col9 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col10 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col11 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col12 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col13 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col14 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col15 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col16 {\n",
       "            background-color:  sandybrown;\n",
       "            : ;\n",
       "            background:  #f7f7f9;\n",
       "        }    #T_0d5caeba_4584_11e9_8854_3c0754343771row13_col17 {\n",
       "            background-color:  sandybrown;\n",
       "            background:  #f7f7f9;\n",
       "            background:  #f7f7f9;\n",
       "        }</style>  \n",
       "<table id=\"T_0d5caeba_4584_11e9_8854_3c0754343771\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"blank level0\" ></th> \n",
       "        <th class=\"col_heading level0 col0\" >1</th> \n",
       "        <th class=\"col_heading level0 col1\" >2</th> \n",
       "        <th class=\"col_heading level0 col2\" >3</th> \n",
       "        <th class=\"col_heading level0 col3\" >4</th> \n",
       "        <th class=\"col_heading level0 col4\" >5</th> \n",
       "        <th class=\"col_heading level0 col5\" >6</th> \n",
       "        <th class=\"col_heading level0 col6\" >7</th> \n",
       "        <th class=\"col_heading level0 col7\" >8</th> \n",
       "        <th class=\"col_heading level0 col8\" >9</th> \n",
       "        <th class=\"col_heading level0 col9\" >10</th> \n",
       "        <th class=\"col_heading level0 col10\" >11</th> \n",
       "        <th class=\"col_heading level0 col11\" >12</th> \n",
       "        <th class=\"col_heading level0 col12\" >13</th> \n",
       "        <th class=\"col_heading level0 col13\" >14</th> \n",
       "        <th class=\"col_heading level0 col14\" >15</th> \n",
       "        <th class=\"col_heading level0 col15\" >16</th> \n",
       "        <th class=\"col_heading level0 col16\" >17</th> \n",
       "        <th class=\"col_heading level0 col17\" >H_total</th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row0\" class=\"row_heading level0 row0\" >A</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col0\" class=\"data row0 col0\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col1\" class=\"data row0 col1\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col2\" class=\"data row0 col2\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col3\" class=\"data row0 col3\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col4\" class=\"data row0 col4\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col5\" class=\"data row0 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col6\" class=\"data row0 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col7\" class=\"data row0 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col8\" class=\"data row0 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col9\" class=\"data row0 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col10\" class=\"data row0 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col11\" class=\"data row0 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col12\" class=\"data row0 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col13\" class=\"data row0 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col14\" class=\"data row0 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col15\" class=\"data row0 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col16\" class=\"data row0 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row0_col17\" class=\"data row0 col17\" >5</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row1\" class=\"row_heading level0 row1\" >B</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col0\" class=\"data row1 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col1\" class=\"data row1 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col2\" class=\"data row1 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col3\" class=\"data row1 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col4\" class=\"data row1 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col5\" class=\"data row1 col5\" >600</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col6\" class=\"data row1 col6\" >600</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col7\" class=\"data row1 col7\" >600</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col8\" class=\"data row1 col8\" >600</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col9\" class=\"data row1 col9\" >600</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col10\" class=\"data row1 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col11\" class=\"data row1 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col12\" class=\"data row1 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col13\" class=\"data row1 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col14\" class=\"data row1 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col15\" class=\"data row1 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col16\" class=\"data row1 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row1_col17\" class=\"data row1 col17\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row2\" class=\"row_heading level0 row2\" >C</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col0\" class=\"data row2 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col1\" class=\"data row2 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col2\" class=\"data row2 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col3\" class=\"data row2 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col4\" class=\"data row2 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col5\" class=\"data row2 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col6\" class=\"data row2 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col7\" class=\"data row2 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col8\" class=\"data row2 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col9\" class=\"data row2 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col10\" class=\"data row2 col10\" >200</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col11\" class=\"data row2 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col12\" class=\"data row2 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col13\" class=\"data row2 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col14\" class=\"data row2 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col15\" class=\"data row2 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col16\" class=\"data row2 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row2_col17\" class=\"data row2 col17\" >5</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row3\" class=\"row_heading level0 row3\" >D</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col0\" class=\"data row3 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col1\" class=\"data row3 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col2\" class=\"data row3 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col3\" class=\"data row3 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col4\" class=\"data row3 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col5\" class=\"data row3 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col6\" class=\"data row3 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col7\" class=\"data row3 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col8\" class=\"data row3 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col9\" class=\"data row3 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col10\" class=\"data row3 col10\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col11\" class=\"data row3 col11\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col12\" class=\"data row3 col12\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col13\" class=\"data row3 col13\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col14\" class=\"data row3 col14\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col15\" class=\"data row3 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col16\" class=\"data row3 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row3_col17\" class=\"data row3 col17\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row4\" class=\"row_heading level0 row4\" >E</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col0\" class=\"data row4 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col1\" class=\"data row4 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col2\" class=\"data row4 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col3\" class=\"data row4 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col4\" class=\"data row4 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col5\" class=\"data row4 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col6\" class=\"data row4 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col7\" class=\"data row4 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col8\" class=\"data row4 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col9\" class=\"data row4 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col10\" class=\"data row4 col10\" >100</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col11\" class=\"data row4 col11\" >100</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col12\" class=\"data row4 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col13\" class=\"data row4 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col14\" class=\"data row4 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col15\" class=\"data row4 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col16\" class=\"data row4 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row4_col17\" class=\"data row4 col17\" >3</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row5\" class=\"row_heading level0 row5\" >F</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col0\" class=\"data row5 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col1\" class=\"data row5 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col2\" class=\"data row5 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col3\" class=\"data row5 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col4\" class=\"data row5 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col5\" class=\"data row5 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col6\" class=\"data row5 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col7\" class=\"data row5 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col8\" class=\"data row5 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col9\" class=\"data row5 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col10\" class=\"data row5 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col11\" class=\"data row5 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col12\" class=\"data row5 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col13\" class=\"data row5 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col14\" class=\"data row5 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col15\" class=\"data row5 col15\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col16\" class=\"data row5 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row5_col17\" class=\"data row5 col17\" >1</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row6\" class=\"row_heading level0 row6\" >G</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col0\" class=\"data row6 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col1\" class=\"data row6 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col2\" class=\"data row6 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col3\" class=\"data row6 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col4\" class=\"data row6 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col5\" class=\"data row6 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col6\" class=\"data row6 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col7\" class=\"data row6 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col8\" class=\"data row6 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col9\" class=\"data row6 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col10\" class=\"data row6 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col11\" class=\"data row6 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col12\" class=\"data row6 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col13\" class=\"data row6 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col14\" class=\"data row6 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col15\" class=\"data row6 col15\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col16\" class=\"data row6 col16\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row6_col17\" class=\"data row6 col17\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row7\" class=\"row_heading level0 row7\" >H</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col0\" class=\"data row7 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col1\" class=\"data row7 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col2\" class=\"data row7 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col3\" class=\"data row7 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col4\" class=\"data row7 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col5\" class=\"data row7 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col6\" class=\"data row7 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col7\" class=\"data row7 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col8\" class=\"data row7 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col9\" class=\"data row7 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col10\" class=\"data row7 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col11\" class=\"data row7 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col12\" class=\"data row7 col12\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col13\" class=\"data row7 col13\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col14\" class=\"data row7 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col15\" class=\"data row7 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col16\" class=\"data row7 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row7_col17\" class=\"data row7 col17\" >3</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row8\" class=\"row_heading level0 row8\" >I</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col0\" class=\"data row8 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col1\" class=\"data row8 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col2\" class=\"data row8 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col3\" class=\"data row8 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col4\" class=\"data row8 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col5\" class=\"data row8 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col6\" class=\"data row8 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col7\" class=\"data row8 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col8\" class=\"data row8 col8\" >400</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col9\" class=\"data row8 col9\" >400</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col10\" class=\"data row8 col10\" >400</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col11\" class=\"data row8 col11\" >400</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col12\" class=\"data row8 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col13\" class=\"data row8 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col14\" class=\"data row8 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col15\" class=\"data row8 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col16\" class=\"data row8 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row8_col17\" class=\"data row8 col17\" >5</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row9\" class=\"row_heading level0 row9\" >J</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col0\" class=\"data row9 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col1\" class=\"data row9 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col2\" class=\"data row9 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col3\" class=\"data row9 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col4\" class=\"data row9 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col5\" class=\"data row9 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col6\" class=\"data row9 col6\" >200</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col7\" class=\"data row9 col7\" >200</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col8\" class=\"data row9 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col9\" class=\"data row9 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col10\" class=\"data row9 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col11\" class=\"data row9 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col12\" class=\"data row9 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col13\" class=\"data row9 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col14\" class=\"data row9 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col15\" class=\"data row9 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col16\" class=\"data row9 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row9_col17\" class=\"data row9 col17\" >9</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row10\" class=\"row_heading level0 row10\" >K</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col0\" class=\"data row10 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col1\" class=\"data row10 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col2\" class=\"data row10 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col3\" class=\"data row10 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col4\" class=\"data row10 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col5\" class=\"data row10 col5\" >200</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col6\" class=\"data row10 col6\" >200</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col7\" class=\"data row10 col7\" >200</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col8\" class=\"data row10 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col9\" class=\"data row10 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col10\" class=\"data row10 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col11\" class=\"data row10 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col12\" class=\"data row10 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col13\" class=\"data row10 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col14\" class=\"data row10 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col15\" class=\"data row10 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col16\" class=\"data row10 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row10_col17\" class=\"data row10 col17\" >5</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row11\" class=\"row_heading level0 row11\" >f1</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col0\" class=\"data row11 col0\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col1\" class=\"data row11 col1\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col2\" class=\"data row11 col2\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col3\" class=\"data row11 col3\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col4\" class=\"data row11 col4\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col5\" class=\"data row11 col5\" >nan</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col6\" class=\"data row11 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col7\" class=\"data row11 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col8\" class=\"data row11 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col9\" class=\"data row11 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col10\" class=\"data row11 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col11\" class=\"data row11 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col12\" class=\"data row11 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col13\" class=\"data row11 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col14\" class=\"data row11 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col15\" class=\"data row11 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col16\" class=\"data row11 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row11_col17\" class=\"data row11 col17\" >9</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row12\" class=\"row_heading level0 row12\" >slide_B</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col0\" class=\"data row12 col0\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col1\" class=\"data row12 col1\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col2\" class=\"data row12 col2\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col3\" class=\"data row12 col3\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col4\" class=\"data row12 col4\" >0</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col5\" class=\"data row12 col5\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col6\" class=\"data row12 col6\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col7\" class=\"data row12 col7\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col8\" class=\"data row12 col8\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col9\" class=\"data row12 col9\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col10\" class=\"data row12 col10\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col11\" class=\"data row12 col11\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col12\" class=\"data row12 col12\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col13\" class=\"data row12 col13\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col14\" class=\"data row12 col14\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col15\" class=\"data row12 col15\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col16\" class=\"data row12 col16\" ></td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row12_col17\" class=\"data row12 col17\" >0</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_0d5caeba_4584_11e9_8854_3c0754343771level0_row13\" class=\"row_heading level0 row13\" >Total</th> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col0\" class=\"data row13 col0\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col1\" class=\"data row13 col1\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col2\" class=\"data row13 col2\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col3\" class=\"data row13 col3\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col4\" class=\"data row13 col4\" >840</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col5\" class=\"data row13 col5\" >800</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col6\" class=\"data row13 col6\" >1000</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col7\" class=\"data row13 col7\" >1000</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col8\" class=\"data row13 col8\" >1000</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col9\" class=\"data row13 col9\" >1000</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col10\" class=\"data row13 col10\" >1000</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col11\" class=\"data row13 col11\" >800</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col12\" class=\"data row13 col12\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col13\" class=\"data row13 col13\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col14\" class=\"data row13 col14\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col15\" class=\"data row13 col15\" >600</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col16\" class=\"data row13 col16\" >300</td> \n",
       "        <td id=\"T_0d5caeba_4584_11e9_8854_3c0754343771row13_col17\" class=\"data row13 col17\" >nan</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0xa2466ff98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "proyecto_asignacion.desplazar(B = 5, mostrar='litros_por_mes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La actividad *slide_B* representa el desplazamiento de la tarea _B_. La siguiente gráfica representa la demanda de recursos tras este desplazamiento."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con esta única acción la demanda de recursos del proyecto ya no supera las 1000 unidades que nos ponía de límite en el enunciado. La duración no obstante ha subido a 17 meses y el camino crítico ha cambiado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto_asignacion.pert()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['slide_B', 'D', 'G', 'B'], dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proyecto_asignacion.camino_critico()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": "3.6.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "324.886px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}