{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas_ods_reader import read_ods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path = \"Dicionário_Microdados_Enem_2021.ods\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>column.0</th>\n",
       "      <th>column.1</th>\n",
       "      <th>column.2</th>\n",
       "      <th>column.3</th>\n",
       "      <th>column.4</th>\n",
       "      <th>column.5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NU_INSCRICAO</td>\n",
       "      <td>Número de inscrição1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Numérica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NU_ANO</td>\n",
       "      <td>Ano do Enem</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Numérica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TP_FAIXA_ETARIA</td>\n",
       "      <td>Faixa etária2</td>\n",
       "      <td>1</td>\n",
       "      <td>Menor de 17 anos</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Numérica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "      <td>17 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>3</td>\n",
       "      <td>18 anos</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          column.0               column.1 column.2          column.3  \\\n",
       "0     NU_INSCRICAO  Número de inscrição1      None              None   \n",
       "1           NU_ANO            Ano do Enem     None              None   \n",
       "2  TP_FAIXA_ETARIA          Faixa etária2        1  Menor de 17 anos   \n",
       "3             None                   None        2           17 anos   \n",
       "4             None                   None        3           18 anos   \n",
       "\n",
       "   column.4  column.5  \n",
       "0      12.0  Numérica  \n",
       "1       4.0  Numérica  \n",
       "2       2.0  Numérica  \n",
       "3       NaN      None  \n",
       "4       NaN      None  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = read_ods(file_path, headers=False, skiprows=5)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.14 ('.py39': venv)",
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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