00 cargar_datos_excel_pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cargar Datos en DataFrames "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Trimestre 1</th>\n",
       "      <th>Trimestre 2</th>\n",
       "      <th>Trimestre 3</th>\n",
       "      <th>Trimestre 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sucursal Norte</th>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>2003</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sucursal Este</th>\n",
       "      <td>4001</td>\n",
       "      <td>4002</td>\n",
       "      <td>4003</td>\n",
       "      <td>4004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sucursal Oeste</th>\n",
       "      <td>6001</td>\n",
       "      <td>6002</td>\n",
       "      <td>6003</td>\n",
       "      <td>6004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sucursal Sur</th>\n",
       "      <td>8001</td>\n",
       "      <td>8002</td>\n",
       "      <td>8003</td>\n",
       "      <td>8004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Trimestre 1  Trimestre 2  Trimestre 3  Trimestre 4\n",
       "Sucursal Norte         2001         2002         2003         2004\n",
       "Sucursal Este          4001         4002         4003         4004\n",
       "Sucursal Oeste         6001         6002         6003         6004\n",
       "Sucursal Sur           8001         8002         8003         8004"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "ventas = pd.read_excel(\"../datos/ventas_anuales.xlsx\", index_col=0,\n",
    "                    skiprows=1, sheet_name=\"2021\")\n",
    "ventas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Sucursal Norte</th>\n",
       "      <th>Sucursal Este</th>\n",
       "      <th>Sucursal Oeste</th>\n",
       "      <th>Sucursal Sur</th>\n",
       "      <th>Sucursal Oriente</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Trimestre 1</th>\n",
       "      <td>1001</td>\n",
       "      <td>2001</td>\n",
       "      <td>3001</td>\n",
       "      <td>4001</td>\n",
       "      <td>7001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trimestre 2</th>\n",
       "      <td>1002</td>\n",
       "      <td>2002</td>\n",
       "      <td>3002</td>\n",
       "      <td>4002</td>\n",
       "      <td>8002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trimestre 3</th>\n",
       "      <td>1003</td>\n",
       "      <td>2003</td>\n",
       "      <td>3003</td>\n",
       "      <td>4003</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trimestre 4</th>\n",
       "      <td>1004</td>\n",
       "      <td>2004</td>\n",
       "      <td>3004</td>\n",
       "      <td>4004</td>\n",
       "      <td>1004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Sucursal Norte  Sucursal Este  Sucursal Oeste  Sucursal Sur  \\\n",
       "Trimestre 1            1001           2001            3001          4001   \n",
       "Trimestre 2            1002           2002            3002          4002   \n",
       "Trimestre 3            1003           2003            3003          4003   \n",
       "Trimestre 4            1004           2004            3004          4004   \n",
       "\n",
       "             Sucursal Oriente  \n",
       "Trimestre 1              7001  \n",
       "Trimestre 2              8002  \n",
       "Trimestre 3              2003  \n",
       "Trimestre 4              1004  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ventas2 = pd.read_csv(\"../datos/ventas.csv\", index_col=0)\n",
    "ventas2.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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