{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creación de un gráfico de barras en Matplotlib --- 7:08 min\n",
    "===\n",
    "\n",
    "* 7:08 min | Última modificación: Octubre 6, 2021 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![alt text](images/suma-pob-region-edades-1.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>Poblacion 0-14</th>\n",
       "      <th>Poblacion 15-64</th>\n",
       "      <th>Poblacion 65+</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>5318.6</td>\n",
       "      <td>10668.7</td>\n",
       "      <td>1013.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europa</th>\n",
       "      <td>3780.2</td>\n",
       "      <td>13830.6</td>\n",
       "      <td>2890.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Las Americas</th>\n",
       "      <td>5375.5</td>\n",
       "      <td>10901.8</td>\n",
       "      <td>1223.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>1784.8</td>\n",
       "      <td>3133.1</td>\n",
       "      <td>282.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oriente Medio</th>\n",
       "      <td>1754.7</td>\n",
       "      <td>3251.1</td>\n",
       "      <td>194.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>africa</th>\n",
       "      <td>11136.2</td>\n",
       "      <td>14452.7</td>\n",
       "      <td>911.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Poblacion 0-14  Poblacion 15-64  Poblacion 65+\n",
       "Region                                                       \n",
       "Asia                   5318.6          10668.7         1013.0\n",
       "Europa                 3780.2          13830.6         2890.5\n",
       "Las Americas           5375.5          10901.8         1223.1\n",
       "Oceania                1784.8           3133.1          282.5\n",
       "Oriente Medio          1754.7           3251.1          194.2\n",
       "africa                11136.2          14452.7          911.7"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\n",
    "    \"https://raw.githubusercontent.com/jdvelasq/datalabs/master/datasets/indicadores-mundiales.csv\",\n",
    "    sep=\",\",\n",
    "    encoding=\"latin-1\",\n",
    ")\n",
    "\n",
    "data = df.groupby(\"Region\").sum()[\n",
    "    [\"Poblacion 0-14\", \"Poblacion 15-64\", \"Poblacion 65+\"]\n",
    "]\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAD4CAYAAAAO9oqkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAV6ElEQVR4nO3de7hddX3n8feHBOQOCWQYJNQwGusgo5RmuJSpovhwbQc6BQvjSGRoox289Y5tR7zgPFBbEcaBNgXkMo5A0REECma41BHlEiTcZYgQIDwI0QRapWiB7/yxfqfZOeyTnHP2yTkheb+eZz9Z67d+a63fWmvv9dnrt9Y+SVUhSdq0bTbVDZAkTT3DQJJkGEiSDANJEoaBJAmYPtUNGK+dd9655syZM9XNkKRXjTvvvPOHVTWr37RXbRjMmTOHxYsXT3UzJOlVI8ljI02zm0iSZBhIkgwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSbyKf4EsSRNpzinXTHUTRmXZ6Ueul+V6ZSBJMgwkSYaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiRGEQZJLkjyTJL7espmJlmU5OH274xWniRnJ1ma5J4k+/TMM7/VfzjJ/J7yX0xyb5vn7CSZ6I2UJK3daK4MLgQOG1Z2CnBDVc0FbmjjAIcDc9trAXAudOEBnArsB+wLnDoUIK3Ob/XMN3xdkqT1bJ1hUFXfBFYOKz4KuKgNXwQc3VN+cXVuBXZMsitwKLCoqlZW1SpgEXBYm7Z9Vd1aVQVc3LMsSdIkGe89g12q6qk2/ANglza8G/BET73lrWxt5cv7lPeVZEGSxUkWr1ixYpxNlyQNN/AN5PaNviagLaNZ18KqmldV82bNmjUZq5SkTcJ4w+Dp1sVD+/eZVv4ksHtPvdmtbG3ls/uUS5Im0XjD4Cpg6Img+cCVPeUntKeK9geea91J1wOHJJnRbhwfAlzfpv19kv3bU0Qn9CxLkjRJpq+rQpIvAwcBOydZTvdU0OnA5UlOAh4D3t2qXwscASwFngdOBKiqlUk+DdzR6n2qqoZuSv8XuieWtgL+tr0kSZNonWFQVcePMOngPnULOHmE5VwAXNCnfDGw17raIUlaf/wFsiTJMJAkGQaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRIDhkGS30lyf5L7knw5yZZJ9khyW5KlSS5LskWr+5o2vrRNn9OznI+18oeSHDrYJkmSxmrcYZBkN+DDwLyq2guYBhwHnAGcWVVvAFYBJ7VZTgJWtfIzWz2S7NnmezNwGHBOkmnjbZckaewG7SaaDmyVZDqwNfAU8E7gijb9IuDoNnxUG6dNPzhJWvmlVfXTqnoUWArsO2C7JEljMO4wqKongT8HHqcLgeeAO4Fnq+rFVm05sFsb3g14os37Yqu/U295n3nWkGRBksVJFq9YsWK8TZckDTNIN9EMum/1ewCvBbah6+ZZb6pqYVXNq6p5s2bNWp+rkqRNyiDdRO8CHq2qFVX1T8BXgQOBHVu3EcBs4Mk2/CSwO0CbvgPwo97yPvNIkibBIGHwOLB/kq1b3//BwAPATcAxrc584Mo2fFUbp02/saqqlR/XnjbaA5gL3D5AuyRJYzR93VX6q6rbklwBfBd4EbgLWAhcA1ya5LRWdn6b5XzgkiRLgZV0TxBRVfcnuZwuSF4ETq6ql8bbLknS2I07DACq6lTg1GHFj9DnaaCqegE4doTlfAb4zCBtkSSNn79AliQZBpIkw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgSWLAMEiyY5IrknwvyYNJDkgyM8miJA+3f2e0uklydpKlSe5Jsk/Pcua3+g8nmT/oRkmSxmbQK4OzgOuq6k3AW4EHgVOAG6pqLnBDGwc4HJjbXguAcwGSzAROBfYD9gVOHQoQSdLkGHcYJNkBeBtwPkBV/ayqngWOAi5q1S4Cjm7DRwEXV+dWYMckuwKHAouqamVVrQIWAYeNt12SpLEb5MpgD2AF8MUkdyU5L8k2wC5V9VSr8wNglza8G/BEz/zLW9lI5a+QZEGSxUkWr1ixYoCmS5J6DRIG04F9gHOr6heAn7C6SwiAqiqgBljHGqpqYVXNq6p5s2bNmqjFStImb5AwWA4sr6rb2vgVdOHwdOv+of37TJv+JLB7z/yzW9lI5ZKkSTLuMKiqHwBPJPn5VnQw8ABwFTD0RNB84Mo2fBVwQnuqaH/gudaddD1wSJIZ7cbxIa1MkjRJpg84/4eALyXZAngEOJEuYC5PchLwGPDuVvda4AhgKfB8q0tVrUzyaeCOVu9TVbVywHZJksZgoDCoqiXAvD6TDu5Tt4CTR1jOBcAFg7RFkjR+/gJZkmQYSJIMA0kShoEkCcNAkoRhIEli8N8ZSOvFnFOumeomjMqy04+c6iZIE2KTDANPNJK0JruJJEmGgSTJMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSmIAwSDItyV1Jrm7jeyS5LcnSJJcl2aKVv6aNL23T5/Qs42Ot/KEkhw7aJknS2EzElcFHgAd7xs8AzqyqNwCrgJNa+UnAqlZ+ZqtHkj2B44A3A4cB5ySZNgHtkiSN0kBhkGQ2cCRwXhsP8E7gilblIuDoNnxUG6dNP7jVPwq4tKp+WlWPAkuBfQdplyRpbAa9Mvg88IfAy218J+DZqnqxjS8HdmvDuwFPALTpz7X6/1zeZ541JFmQZHGSxStWrBiw6ZKkIeMOgyS/AjxTVXdOYHvWqqoWVtW8qpo3a9asyVqtJG30pg8w74HAv09yBLAlsD1wFrBjkunt2/9s4MlW/0lgd2B5kunADsCPesqH9M4jSZoE474yqKqPVdXsqppDdwP4xqp6D3ATcEyrNh+4sg1f1cZp02+sqmrlx7WnjfYA5gK3j7ddkqSxG+TKYCR/BFya5DTgLuD8Vn4+cEmSpcBKugChqu5PcjnwAPAicHJVvbQe2iVJGsGEhEFV3Qzc3IYfoc/TQFX1AnDsCPN/BvjMRLRlUzTnlGumugmjsuz0I6e6CZJG4C+QJUmGgSTJMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkhggDJLsnuSmJA8kuT/JR1r5zCSLkjzc/p3RypPk7CRLk9yTZJ+eZc1v9R9OMn/wzZIkjcUgVwYvAr9XVXsC+wMnJ9kTOAW4oarmAje0cYDDgbnttQA4F7rwAE4F9gP2BU4dChBJ0uQYdxhU1VNV9d02/A/Ag8BuwFHARa3aRcDRbfgo4OLq3ArsmGRX4FBgUVWtrKpVwCLgsPG2S5I0dhNyzyDJHOAXgNuAXarqqTbpB8AubXg34Ime2Za3spHKJUmTZOAwSLIt8BXgo1X1973TqqqAGnQdPetakGRxksUrVqyYqMVK0iZvoDBIsjldEHypqr7aip9u3T+0f59p5U8Cu/fMPruVjVT+ClW1sKrmVdW8WbNmDdJ0SVKPQZ4mCnA+8GBVfa5n0lXA0BNB84Ere8pPaE8V7Q8817qTrgcOSTKj3Tg+pJVJkibJ9AHmPRB4L3BvkiWt7I+B04HLk5wEPAa8u027FjgCWAo8D5wIUFUrk3wauKPV+1RVrRygXZKkMRp3GFTVt4CMMPngPvULOHmEZV0AXDDetkgbujmnXDPVTRiVZacfOeq6G+M2bcr8BbIkyTCQJBkGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkiQ0oDJIcluShJEuTnDLV7ZGkTckGEQZJpgH/Azgc2BM4PsmeU9sqSdp0bBBhAOwLLK2qR6rqZ8ClwFFT3CZJ2mSkqqa6DSQ5Bjisqn6zjb8X2K+qPjis3gJgQRv9eeChSW3o2u0M/HCqGzGBNrbtgY1vmza27YGNb5s2tO15XVXN6jdh+mS3ZBBVtRBYONXt6CfJ4qqaN9XtmCgb2/bAxrdNG9v2wMa3Ta+m7dlQuomeBHbvGZ/dyiRJk2BDCYM7gLlJ9kiyBXAccNUUt0mSNhkbRDdRVb2Y5IPA9cA04IKqun+KmzVWG2T31QA2tu2BjW+bNrbtgY1vm14127NB3ECWJE2tDaWbSJI0hQwDSZJhMBpJjk5SSd60jnrXJtlxstq1NkleSrKk5zWlf+IjyY/XwzJHdVwGXMe8JGdP4PJmJ7kyycNJvp/krPbQxHqV5LVJrpiIdq1rWaNoy0eTbD3GeS5M8nyS7XrKPt+O/85jWM77knyhDX8gyQljaccIyzw2yYNJbuozbaB9NZm8ZzAKSS4DXgvcWFWnTnV7RiPJj6tq23HOO72qXtxQ2rOWZa7X4zLR+yFJgNuAc6vqi+3PsCwEVlbVH0zUetZnuyZinyRZBsyrqlH/GCvJhcA+wJ9V1f9MshmwBJgJ7D3aZSV5X1v3B9dVdwxtuw44raq+Nax8wj9H61VV+VrLC9iW7jcPbwQeamW7At+kezPeB/xyK18G7NyGvwbcCdwPLJiCdv94hPLeNs4Dbm7DnwAuAW4BvgzMAW4E7gFuAH6u1bsQ+EtgMfD/gF9p5XOA/wt8t71+aV3tAX6V7iR0F/B/gF1a+dvbvl3Spm03muPSyg8C/g64EngEOB14D3A7cC/w+lZvFvAVusea7wAOHGE/HARc3bPOL7bl3AP8eis/t+2P+4FP9rTldOCBVvfPgYOBbw7bju2BHwHbtDr3tfofatN/sW3PnXRP2+3ayn+rtfvuth1b9xyfs4Fvt+0/puf43DfCsfrQWtq1NfA+uke9b2xt6V3WNOCzrS33AO/vOQ43A1cA3wO+BAT4MPCztg9vanUPAb7T2vI3wLZ9jveFwB8DX2/j72z7fRmr38//qR3nJcBfAdNa+Yl079Xbgb8GvtBzrH+/De8N3Nq24X8DM0b4/KzxuQY+DvyY7q8hfHYU+6rfMf5423/30YVwpuRcNxUrfTW96E4k57fhb9N9OH8P+JOeA7xdG+59Y85s/27VDvJOk9zul1h9Ql0C/EafNg4PgzuBrdr414H5bfg/A19rwxcC19F1Mc4FlgNb0p00tmx15gKLh7WnXxjMYPXV6W8Cf9Gz7qGT87bA9NEclzZ8EPAsXWC/hi4wPtmmfQT4fBv+X8C/a8M/Bzw4wn44iNVhcMbQ/EPtH3asp9GdAN8C7ER3ghjavh3pToRn9tmWu1rbrhjaVrpvvJu3bZvVyn6D7rFret9PwGmsPrFcSHdC3Yzujz4ubeVzWH1SGn6sHl9Lu95Cd4Jb3rOdvctaAPxpG34NXSju0fbbc3Q/IN2M7mQ/tL+Xsfo9uDPdF6tt2vgfAR/v05YLgWPoTtgz6E7qbx9aFvCv6d43m7f65wAn0L0PHqcL/y3oQr5fGNwDvL0Nf6r3OA9rxys+1+2Yz2vla9tXvz38GPf+24YvAX51Ms8VQ68N4ncGG7jjgbPa8KVt/CrggiSb050kl/SZ78NJfq0N7073ofvR+m5sj3+sqr3HOM9VVfWPbfgA4D+04UuAP+upd3lVvQw8nOQR4E3Ao8AXkuxNF0RvHMX6ZgOXJdmV7oP6aCu/Bfhcki8BX62q5X3m7Xdc7mzjd1TVUwBJvg98o5XfC7yjDb8L2LPrIQFg+yRD3Vi9+6HXu+h+EAlAVa1qg+9ufzdrOt3JZ0+6K4IXgPOTXA1cvbYdQXfyPKdat0JVrUyyF7AXsKi1cxrwVKu/V5LT6EJmW7qrhiFfa8fngSS79FnX5qx5rP7lOtoGsKiqVvYpPwR4S/v7YgA70L3XfwbcPnTskiyhOzF+a9j8+9Ptr1vaNm5BFxwj+SrdMdgPeH9P+cF0X9TuaMvZCnim1bu5qla0dlzGsPdmkh2AHavq71rRRXSB2k+/z/VwI+2rdwF/2XuMW/k7kvwhXUjPpLvq+PoI619vDIO1SDKT7nL03yQpug9jAX8AvA04Ergwyeeq6uKe+Q6iO/AHVNXzSW6m+/a8IXiR1Q8ODG/TT0a5jOE3mgr4HeBp4K1t+S+MYjn/HfhcVV3V9tknAKrq9CTXAEfQnSQOrarvDc000nFJMtS//dOedbzcM/4yq9/zmwH7V9Ua7WwnktHuB5LsAfw+8G+ralXr296yuh9S7kt3kjoG+CDw39pw7/zb012ZLOu3eOD+qjqgz7QLgaOr6u7WD35Qz7Te7Q+vNPxY/ZTuRNqvXUvp+upH2iehuyq5fo3C7nj2tuMl+p9vQnfyPH6E5Q93GV3oX1RVL/eEeVrZx4a14+hRLnedxvC5Hsv7Z0u6q5h5VfVEkk+MsMz1zqeJ1u4Y4JKqel1Vzamq3em+vb4NeLqq/ho4j+7D0msHYFV7w7yJ7tvPhmIZqz/4v76Wet9m9bfg99D1MQ85NslmSV4P/Cu67pAdgKfaN9L30p2g12UHVv8NqvlDhUleX1X3VtUZdH2pw58WGum4/PIo1jnkG3R95UPrHM1V1CLg5J55ZtD1rf8EeK59Cz+8TdsW2KGqrqU7+b6V7t7L1kNPsLQbtX9Bd2K/Hnh/kult2ky6/ToryQGtbPMkb26r3w54ql2dvmcM2w2vPFabjdSuqnp+Hcu6Hvjt1g6SvDHJNuuY5x9a+6Hr9jkwyRva/NskGfGqsqoeA/6E7gTa6wbgmCT/oi1nZpLX0d2TenuSnVobj+2zzOeAVUmG3j/vpevvH27Qz/UiXnmMh078P2zvmWNGmnl9MwzW7ni6m0m9vkL34b07yV10/bhnDatzHTA9yYN0NxFvXc/t7GerrPlo6emt/JPAWUkW031bG8mHgBOT3EP34fhIz7TH6W7G/S3wgfbt+hxgfpK76U7ew78dbZ1kec/rd+muBP4myZ2s+Wd+P5rkvrbuf2rr6TXScRntt0vo+u/nJbknyQPAB0Yxz2nAjNa2u4F3VNXddH3r36O7D3FLq7sdcHXbhm8Bv1tdp/Cv0YXpw3Q3NV+guzF6Ht1+vact+z9W9397HAOc0cqWAL/Ulv9f6U50t7R1j0W/YzVSu9blPLouse8muY/uxu26ehwWAtclual137wP+HLbV9/hleG/hqr6q6r6/rCyB4A/Bb7RlrOI7mb7U3Tvs+/Q7asHR1jsfOCzbd696e4bDDfo57rfMX6W7v7HfXTBescYlzlhfLRUY9K6Qa6uqlfFs9OSRscrA0mSVwaSJK8MJEkYBpIkDANJEoaBJAnDQJIE/H+v2hHqo2dzcQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Gráfico inicial\n",
    "#\n",
    "plt.bar(data.index, data[\"Poblacion 0-14\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": [
    "#\n",
    "# Rotación de los titulos del eje X\n",
    "#\n",
    "plt.bar(data.index, data[\"Poblacion 0-14\"])\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "plt.title(\"Poblacion 0-14\")\n",
    "plt.xlabel(\"Poblacion 0-14\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Graficos por población\n",
    "#\n",
    "for index, colname in enumerate(data.columns):\n",
    "    plt.subplot(1, 3, index + 1)\n",
    "    plt.bar(data.index, data[colname])\n",
    "    plt.xticks(rotation=\"vertical\")\n",
    "    plt.title(colname)\n",
    "    plt.xlabel(colname)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Ajuste del tamaño\n",
    "#\n",
    "plt.figure(figsize=(16, 6))\n",
    "for index, colname in enumerate(data.columns):\n",
    "    plt.subplot(1, 3, index + 1)\n",
    "    plt.bar(data.index, data[colname])\n",
    "    plt.xticks(rotation=\"vertical\")\n",
    "    plt.title(colname)\n",
    "    plt.xlabel(colname)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Rotación de la figura\n",
    "#\n",
    "plt.figure(figsize=(16, 6))\n",
    "for index, colname in enumerate(data.columns):\n",
    "    plt.subplot(1, 3, index + 1)\n",
    "    plt.barh(data.index, data[colname])\n",
    "    plt.xticks(rotation=\"vertical\")\n",
    "    plt.title(colname)\n",
    "    plt.xlabel(colname)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Formateo de los ejes\n",
    "# \n",
    "fig, axs = plt.subplots(1, 3, sharex=\"col\", sharey=\"row\", figsize=(16, 6),)\n",
    "\n",
    "plt.style.use(\"fast\")\n",
    "plt.subplots_adjust(wspace=0.05, hspace=0.1)\n",
    "\n",
    "for index, colname in enumerate(data.columns):\n",
    "    axs[index].barh(data.index, data[colname])\n",
    "    axs[index].set_xlabel(colname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para cambiar los estilos de colores: https://matplotlib.org/gallery/style_sheets/style_sheets_reference.html "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Akaw6hFfVJWtdRFXdr6q6qm611sueeo3NVfXC3bV8AAAA2JF5ORL+4CSnDv+uuara0N1bu/vxu2P5AAAAsDPWJIRX1ZFV9fGq+lRVvb+qbji036Wqzhgen6qqay4z78YkW5I8OsmDptqPqKoPV9U7quoLVfWcqnpIVX2iqs6uqpsN012/qt5SVacNjzsN7cdV1YlV9ZEkJw7Le/e216yqVw/LOauqHjC0v6SqtlbVp6vq2VO1PKeqzh2m/au12GYAAADsedbqSPipSe7Q3b+S5A1J/mRof3KSx3X3YUl+I8n3l5n3vkne292fS/LNqrrd1LhDkzw2yX9J8rAkt+zu2yd5ZZJjh2lekOT/7e5fTfKAYdw2Bye5R3cvPcL+jCTf7e7bdvchST44tD+tuzcnOSTJXarqkKq6bpL7J7n1MO3/WW4DVNUxQ4Df+qNLvrPSdgKYG/otYNHot4D1YK1C+EFJTqqqs5P8ryS3Hto/kuRvqurxSfbv7suWmffBmQT3DP9OB+bTuvur3f3DJJ9P8i9D+9lJNg3D90jyoqo6I8k7k1xrOLqeJO/s7uWC/z2S/O22J9397WHw96vqk0k+NazDwUm+m+QHSf6uqv5rkkuX2wDd/fLu3tzdm/fZuP9ykwDMFf0WsGj0W8B6sFYh/PgkL+ru2yZ5TJJ9k6S7n5PkD5JcPclHlt54raoOSHK3JK+sqgszCfC/X1U1TPLDqcmvmHp+RZINU+twh+4+bHj8Qndvu3nc93Z2BarqJpkcub/7cMT7n5LsO/xwcPskb05ynyTv3dllAgAAwLS1CuHXTnLRMPyIbY1VdbPuPru7n5vktCRL735+VJITu/uXuntTd984yRczOXV9Z/1LfnpqeqrqsJ2Y531JHjc1z3WSXCuT0P7d4Zr2ew3jNia5dne/J8kTMzlFHgAAAFZtV0L4flX15anHk5Icl+RNVXV6km9MTfuEqjqnqs5K8uMk/7xkWQ9O8rYlbW/J6u6S/vgkm4ebpp2byTXkO/J/klxnqO3MJHft7jMzOQ39s0n+PpNT6ZPkmknePazDqUmetIraAAAA4Cc27HiSK+vulYL7O5aZ9tjlJpwaf9dl2qb/L++Tp9qPmBo+edu47v5Gkgcus5zjljyfnueSTB2xn5rm6BVKvf0K7QAAALDT5uX/CQcAAIB1TwgHAACAkQjhAAAAMBIhHAAAAEYihAMAAMBIhHAAAAAYiRAOAAAAIxHCAQAAYCRCOAAAAIxECAcAAICRCOEAAAAwEiEcAAAARiKEAwAAwEiEcAAAABiJEA4AAAAj2TDrAtajm99gY553zJZZlwGw0/RbwKLRbwGLypFwAAAAGIkQDgAAACMRwgEAAGAkQjgAAACMRAgHAACAkQjhAAAAMBIhHAAAAEYihAMAAMBIhHAAAAAYyYZZF7AeXXDxJTny+FNnXcYe5V3Hbpl1CbDQ9FvAUvP+2arfAtbCLPo6R8IBAABgJEI4AAAAjEQIBwAAgJEI4QAAADASIRwAAABGIoQDAADASIRwAAAAGIkQDgAAACMRwgEAAGAkQjgAAACMRAgHAACAkQjhAAAAMBIhHAAAAEYihAMAAMBIhHAAAAAYiRAOAAAAI9kw6wJWq6ouT3L2VNMbuvs5s6oHAAAAdtbChfAk3+/uw3Zlxqra0N2XrXVBAAAAsDPWzenoVXVhVV1vGN5cVScPw8dV1YlV9ZEkJ1bVpqr6YFWdVVUfqKpfHKY7oapeWlVbq+pzVXWfoX1TVZ1SVZ8cHr8+q3UEAABgsS1iCL96VZ0x9XjgTsxzcJJ7dPeDkxyf5DXdfUiS1yd54dR0m5LcPsnvJHlpVe2b5OIkv9ndhyd54JLpf6KqjhkC/NYfXfKdXV45gLHot4BFo98C1oNFDOHf7+7Dph5v3Il53tnd3x+G75jk74fhE5NsmZruH7v7iu4+P8kXktwqyd5JXlFVZyd5UyaB/md098u7e3N3b95n4/67sl4Ao9JvAYtGvwWsB4t4TfhKLstPf1TYd8m47+3kMnqZ509M8rUkhw7L/8GuFggAAMCebRGPhK/kwiS3G4YfsJ3pPprkQcPwQ5KcMjXu96rq56rqZklumuS8JNdO8tXuviLJw5LstZZFAwAAsOdYxBC+9Jrwbf892bOTvKCqtia5fDvzH5vkkVV1Viah+o+nxn0pySeS/HOSx3b3D5K8OMkjqurMTE5P39mj6gAAAHAlC3c6encveyS6u09Jcstl2o9b8vzfktxthcW/v7sfu2T685McMtX0lNXUCwAAANss4pFwAAAAWEgLdyR8d+nuo2ddAwAAAOubI+EAAAAwEiEcAAAARiKEAwAAwEiEcAAAABiJEA4AAAAjEcIBAABgJEI4AAAAjEQIBwAAgJEI4QAAADASIRwAAABGIoQDAADASIRwAAAAGIkQDgAAACPZMOsC1qOb32BjnnfMllmXAbDT9FvAotFvAYvKkXAAAAAYiRAOAAAAIxHCAQAAYCRCOAAAAIxECAcAAICRCOEAAAAwEiEcAAAARiKEAwAAwEiEcAAAABjJhlkXsB5dcPElOfL4U2ddBnPgXcdumXUJsFP0W7Bj+vT5ot+aPe8J2DWOhAMAAMBIhHAAAAAYiRAOAAAAIxHCAQAAYCRCOAAAAIxECAcAAICRCOEAAAAwEiEcAAAARiKEAwAAwEiEcAAAABiJEA4AAAAjEcIBAABgJEI4AAAAjEQIBwAAgJEI4QAAADASIRwAAABGskeF8Kq6X1V1Vd1qB9O9p6r2H6suAAAA9gx7VAhP8uAkpw7/rqi7793d3xmnJAAAAPYUe0wIr6qNSbYkeXSSBw1tB1bV/62qM6rqnKr6jaH9wqq63jD89qo6vao+XVXHzGwFAAAAWHgbZl3AiO6b5L3d/bmq+mZV3S7JEUlO6u6/qKq9kuy3zHyP6u5vVdXVk5xWVW/p7m+OWDcAAADrxB5zJDyTU9DfMAy/YXh+WpJHVtVxSW7b3f+5zHyPr6ozk3wsyY2T3GK5hVfVMVW1taq2/ugSZ7ID80+/BSwa/RawHuwRIbyqDkhytySvrKoLk/yvJL+f5JQkd05yUZITqurhS+Y7Isk9ktyxuw9N8qkk+y73Gt398u7e3N2b99nonm7A/NNvAYtGvwWsB3tECE9yVJITu/uXuntTd984yRczCeBf6+5XJHllksOXzHftJN/u7kuHO6rfYdSqAQAAWFf2lGvCH5zkuUva3pLkhCTfq6ofJ7kkycOXTPPeJI+tqs8kOS+TU9IBAABgl+wRIby777pM2wuTvHCF6TdNPb3XbioLAACAPcyecjo6AAAAzJwQDgAAACMRwgEAAGAkQjgAAACMRAgHAACAkQjhAAAAMBIhHAAAAEYihAMAAMBIhHAAAAAYiRAOAAAAIxHCAQAAYCRCOAAAAIxECAcAAICRCOEAAAAwEiEcAAAARrJh1gWsRze/wcY875gtsy4DYKfpt4BFo98CFpUj4QAAADASIRwAAABGIoQDAADASIRwAAAAGIkQDgAAACMRwgEAAGAkQjgAAACMRAgHAACAkQjhAAAAMBIhHAAAAEYihAMAAMBIhHAAAAAYiRAOAAAAIxHCAQAAYCTV3bOuYd15+tOf/p977733ebOu46q45JJLrrdx48ZvzLqOq8I6zI/1sB4LtA7feNaznnXP1c40r/3WvG53da2OulZnD6xrXfVbO2te9/POWOTak8Wuf5FrTxa7/iW171K/tY0QvhtU1dbu3jzrOq4K6zAf1sM6JOtjPdbDOmzPvK6fulZHXaujrtWZt7rmrZ7VWuT6F7n2ZLHrX+Tak8Wufy1rdzo6AAAAjEQIBwAAgJEI4bvHy2ddwBqwDvNhPaxDsj7WYz2sw/bM6/qpa3XUtTrqWp15q2ve6lmtRa5/kWtPFrv+Ra49Wez616x214QDAADASBwJBwAAgJEI4Wuoqu5ZVedV1QVV9aezrmdaVd24qj5UVedW1aer6o+H9gOq6n1Vdf7w73WG9qqqFw7rclZVHT61rEcM059fVY+YwbrsVVWfqqp3D89vUlUfH2p9Y1XtM7RfbXh+wTB+09Qynjq0n1dVvz2Dddi/qt5cVZ+tqs9U1R0XbV9U1ROHv6Vzquofqmrfed8XVfWqqrq4qs6Zaluz7V5Vt6uqs4d5XlhVtTvXZy2M3W/Ne180j/3LvPYX89IHzOv7eoW6/nLYj2dV1duqav8dbYeV3qMrbetdqWtq3P+sqq6q6429vVZrpe0yT6rqwmFbnFFVW4e2Vf9tjljvbn0vzaD246rqomH7n1FV954at6r3226ufa4/F69C/XO//WvyufWJqjpzqP3ZQ/tNand/lnW3xxo8kuyV5PNJbppknyRnJjl41nVN1XdgksOH4Wsm+VySg5M8L8mfDu1/muS5w/C9k/xzkkpyhyQfH9oPSPKF4d/rDMPXGXldnpTk75O8e3j+j0keNAy/NMkfDcP/PclLh+EHJXnjMHzwsH+uluQmw37ba+R1eE2SPxiG90my/yLtiyS/kOSLSa4+tQ+Onvd9keTOSQ5Pcs5U25pt9ySfGKatYd57jfl3tQvbY/R+K3PeF2UO+5fMYX+ROeoDMqfv6xXq+q0kG4bh507Vtex2yHbeoytt612pa2i/cZKTkvxbkuuNvb1Wuc/n+jvXVJ0XbtuWu/q3OXK9u/W9NIPaj0vy5GWmXfX7bTfXPtefi1eh/rnf/sM23DgM753k48M23e2fZbt1p+xJjyR3THLS1POnJnnqrOvaTr3vSPKbSc5LcuDQdmCS84bhlyV58NT05w3jH5zkZVPtV5puhLoPSvKBJHdL8u7hzfON/PRLzU/2QyZfJu44DG8Ypqul+2Z6upHW4dqZfHmtJe0Lsy8y+QL+70NHv2HYF7+9CPsiyaZc+UN6Tbb7MO6zU+1Xmm4eH/PQb81TXzSP/cu89hfz1gfM6/t6aV1Lxt0/yeuH4WW3Q1Z4j27vb3NX60ry5iSHZio4jr29VlH/zPuunazzJ9tyV/82Z1Dzbnkvzaj247J8CFzV+20G+2BuPhevYv0Ltf2T7Jfkk0l+LSN8ljkdfe1s+0KyzZeHtrkznDrxK5n82nPD7v7qMOr/S3LDYXil9Zn1ej4/yZ8kuWJ4ft0k3+nuy5ap5ye1DuO/O0w/63W4SZKvJ3l1TU57fWVVXSMLtC+6+6Ikf5XkS0m+msm2PT2Lty+StdvuvzAML22fZzPd/nPYF81j/zKX/cUC9AGL8L5+VCZHs3alru39ba5aVd03yUXdfeaSUfO0vXamrnnTSf6lqk6vqmOGttX+bc7aPPTNV8X/GE7ZftW207kzx7XP4efiqiypP1mA7V+Ty9DOSHJxkvdlchR7t3+WCeF7mKramOQtSZ7Q3f8xPa4nP930TArbCVV1nyQXd/fps67lKtqQySlTL+nuX0nyvUxOM/qJBdgX10ly30wCwo2SXCPJPWda1BqY9+2+nsxbXzTH/ctc9heL1AfM4/u6qp6W5LIkr5+DWvZL8mdJnjnrWtahLd19eJJ7JXlcVd15euQ8/m1uz6LVm+QlSW6W5LBMfiz869mWs33z9rm4WsvUvxDbv7sv7+7DMjkb7vZJbjXG6wrha+eiTK6n2uagoW1uVNXembw5Xt/dbx2av1ZVBw7jD8zkV6Bk5fWZ5XreKcnvVtWFSd6QySmjL0iyf1VtWKaen9Q6jL92km9m9vvqy0m+3N3bfiV8cyZfshdpX9wjyRe7++vd/eMkb81k/yzavkjWbrtfNAwvbZ9nM9n+c9oXzWv/Mq/9xbz3AXP7vq6qo5PcJ8lDhi/Wu1LXN7Pytl6tm2XyY8qZw9//QUk+WVU/vwt1jdUPzsNnxw4NZ4ykuy9O8rZMvuCv9m9z1mbd1+yy7v7aELCuSPKKTLZ/Moe1z+nn4k5brv5F2v5J0t3fSfKhTE4/3/2fZWOdZ7/eH5kcrfhCJh9k224mcOtZ1zVVXyV5bZLnL2n/y1z5pg/PG4Z/J1e+6cMnhvYDMrk+8TrD44tJDpjB+hyRn9446U258s0T/vsw/Lhc+eYJ/zgM3zpXvnnCFzL+jdlOSfLLw/Bxw35YmH2RyfUyn87k+pnK5MZRxy7CvsjPXkWPzLQAAAesSURBVDO2Zts9P3tDonuP/d5Y5bYYvd/KAvRFmbP+JXPYX2TO+oDM6ft6mbrumeTcJNdfMt2y2yHbeY+utK13pa4l4y7MT68Jn8t+cHvbZV4emZwdcs2p4Y8O+39Vf5szqHu3vZdmUPuBU8NPTPKGYXjV77fdXPfcfy7uYv1zv/2TXD/J/sPw1TP5vL1PRvgs2+1viD3pkcndCj+XybUET5t1PUtq25LJaSxnJTljeNw7k+sYPpDk/CTvz08/RCvJ3w7rcnaSzVPLelSSC4bHI2e0Pkfkp1+Sb5rJh/4Fw5vmakP7vsPzC4bxN52a/2nDup2XGdzBOpNTc7YO++PtQ2e5UPsiybOTfDbJOUlOHDqeud4XSf4hk1OifpzJEcZHr+V2T7J52B6fT/KiLLmZ1jw+xu63FqEvmrf+ZV77i3npA+b1fb1CXRdkct3gtr/9l+5oO2SF9+hK23pX6loy/sL8NITPbT+40naZl8ewf84cHp/eVuOu/G2OWPNufS/NoPYTh9rOSvLOXDkUrur9tptrn/vPxV2sf+63f5JDknxqqPGcJM8c2nf7Z1kNMwEAAAC7mWvCAQAAYCRCOAAAAIxECAcAAICRCOEAAAAwEiEcAAAARiKEs8erqsur6oyqOqeq3lRV+21n2uOq6snLtG+qqnN28fX/d1XdY1fmXWZZT62qC6rqvKr67RWmuVVV/WtV/XCFddmrqj5VVe9ei5qAtbFe+qqqum5VfaiqLqmqFy0Zd/LQf50xPG6wwjL2qaqXV9XnquqzVfWAJeMfUFVdVZuvar3A2lkv/diwrEOG71Ofrqqzq2rfoX2n+jH2bBtmXQDMge9392FJUlWvT/LYJH8z1ot39zPXYjlVdXCSByW5dZIbJXl/Vd2yuy9fMum3kjw+yf1WWNQfJ/lMkmutRV3AmlkXfVWSHyR5RpLbDI+lHtLdW3ewjKclubi7b1lVP5fkgG0jquqamfRjH1+jeoG1sy76sarakOR1SR7W3WdW1XUz+T/Kt9luP1ZVJyc5ursvXIt6WDyOhMOVnZLk5lV1QFW9varOqqqPVdUhU9McOvzyeX5V/eHSBQy/0J5SVZ8cHr8+Ne4pw6+lZ1bVc4a2E6rqqGH47sNR6LOr6lVVdbWh/cKqevawvLOr6lbL1H7fJG/o7h929xeTXJDk9ksn6u6Lu/u0XPnDYlt9ByX5nSSvXMU2A8a3sH1Vd3+vu0/NJIzvqkcl+X+G5V3R3d+YGvfnSZ57FZcP7H4L248l+a0kZ3X3mUnS3d9c5qAHrEgIh8Hwq+a9kpyd5NlJPtXdhyT5sySvnZr0kCR3S3LHJM+sqhstWdTFSX6zuw9P8sAkLxyWf69MgvKvdfehSZ635PX3TXJCkgd2920zOVPlj6Ym+cawzJck+ZnTs5L8QpJ/n3r+5aFtNZ6f5E+SXLHK+YCRrIO+akdePZzC+YyqqmXWf/9h8M+HL8lvqqobDuMOT3Lj7v6nXXhdYCTroB+7ZZKuqpOGfuhPlozfbj8GQjgkV6+qM5JsTfKlJH+XZEuSE5Okuz+Y5LpVte307Hd09/eHIy8fys8ebd47ySuq6uwkb0py8NB+jySv7u5Lh+V+a8l8v5zki939ueH5a5LceWr8W4d/T0+yaRfXdUVVdZ9MTu88fa2XDayJPaGvesjwhfg3hsfDlplmQ5KDknx0+JL8r0n+qianpf9Nkv+5ytcExrNe+rENQ90PGf69f1XdfRi3bD9WVY8cgvkZSTYnec/w/G3LbyrWM9eEw9T1Sdvs4EfL3sHzJyb5WpJDM/mha61Oifzh8O/lWf69e1GSG089PyjJRVX1uCTbTuG6d3d/ZYXl3ynJ71bVvZPsm+RaVfW67n7oVS8dWAPrpa9aUXdfNPz7n1X190luX5PrRrf9OPjOJM9Kcml++iX5TUkeneSamVxjfvKwXX4+yTur6nd34hpzYBzrpR/7cpL/u+1SmKp6T5LDk3xguX4syWu7+9VJXj1Mf3JcE75HcyQclndKJr9upqqOyOS0pP8Yxt23qvatyU04jkhy2pJ5r53kq919RSa/fu41tL8vySNruBNoVR2wZL7zkmyqqpsPzx+W5MOrqPmdSR5UVVerqpskuUWST3T333b3YcNjpQCe7n5qdx/U3ZsyucHbBwVwmHuL2Fctq6o2VNX1huG9k9wnyTndfflUH/bM7u4k7xrWKUnunuTc7v5ud1+vuzcN/djHkgjgMP8WsR87Kcltq2q/4dT6uyQ5d6V+bBXLZQ/hSDgs77gkr6qqszI54vKIqXFnZXJK1PWS/Hl3f6WqNk2Nf3GSt1TVw5O8N8n3kqS731tVhyXZWlU/SvKeTK59yjD+B1X1yCRvGjr005K8dGcL7u5PV9U/Jjk3yWVJHrfcTUKq6uczOQ3sWkmuqKonJDl46gMPWBzHZcH6qmRy46NM+qB9qup+mdzk6N+SnDR8cd0ryfuTvGKFRTwlyYlV9fwkX0/yyNW8PjBXjsuC9WPd/e2q+pthvk7ynu7+p6q6Rna+H2MPVpMflAEAAIDdzenoAAAAMBIhHAAAAEYihAMAAMBIhHAAAAAYiRAOAAAAIxHCAQAAYCRCOAAAAIxECAcAAICR/P+oInqscAFTvgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1152x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 3, sharex=\"col\", sharey=\"row\", figsize=(16, 6))\n",
    "plt.style.use(\"fast\")\n",
    "plt.subplots_adjust(wspace=0.05, hspace=0.1)\n",
    "for index, colname in enumerate(data.columns):\n",
    "    axs[index].barh(data.index, data[colname], color='tab:blue', alpha=0.8)\n",
    "    axs[index].set_xlabel(colname)\n",
    "    axs[index].spines[\"left\"].set_color(\"gray\")\n",
    "    axs[index].spines[\"bottom\"].set_color(\"gray\")\n",
    "    axs[index].spines[\"top\"].set_visible(False)\n",
    "    axs[index].spines[\"right\"].set_visible(False)"
   ]
  }
 ],
 "metadata": {
  "kernel_info": {
   "name": "python3"
  },
  "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": "3.6.9"
  },
  "nteract": {
   "version": "0.7.1"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}