{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_parquet(\n",
    "    \"/Users/sebastianalejandrosarastizambonino/Documents/conferences/aws_community_day_2025/data/datos_ambiente_quito.parquet\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>station</th>\n",
       "      <th>y</th>\n",
       "      <th>property</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004-01-01 00:00:00</td>\n",
       "      <td>BELISARIO</td>\n",
       "      <td>7.42</td>\n",
       "      <td>co</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004-01-01 01:00:00</td>\n",
       "      <td>BELISARIO</td>\n",
       "      <td>7.96</td>\n",
       "      <td>co</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2004-01-01 02:00:00</td>\n",
       "      <td>BELISARIO</td>\n",
       "      <td>8.42</td>\n",
       "      <td>co</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2004-01-01 03:00:00</td>\n",
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       "      <th>4</th>\n",
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       "      <td>BELISARIO</td>\n",
       "      <td>6.57</td>\n",
       "      <td>co</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1524523</th>\n",
       "      <td>2025-08-31 19:00:00</td>\n",
       "      <td>SAN ANTONIO</td>\n",
       "      <td>12.78</td>\n",
       "      <td>Temperature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524524</th>\n",
       "      <td>2025-08-31 20:00:00</td>\n",
       "      <td>SAN ANTONIO</td>\n",
       "      <td>12.28</td>\n",
       "      <td>Temperature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524525</th>\n",
       "      <td>2025-08-31 21:00:00</td>\n",
       "      <td>SAN ANTONIO</td>\n",
       "      <td>12.21</td>\n",
       "      <td>Temperature</td>\n",
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       "    <tr>\n",
       "      <th>1524526</th>\n",
       "      <td>2025-08-31 22:00:00</td>\n",
       "      <td>SAN ANTONIO</td>\n",
       "      <td>12.35</td>\n",
       "      <td>Temperature</td>\n",
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       "    <tr>\n",
       "      <th>1524527</th>\n",
       "      <td>2025-08-31 23:00:00</td>\n",
       "      <td>SAN ANTONIO</td>\n",
       "      <td>12.22</td>\n",
       "      <td>Temperature</td>\n",
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       "                         ds      station      y     property\n",
       "0       2004-01-01 00:00:00    BELISARIO   7.42           co\n",
       "1       2004-01-01 01:00:00    BELISARIO   7.96           co\n",
       "2       2004-01-01 02:00:00    BELISARIO   8.42           co\n",
       "3       2004-01-01 03:00:00    BELISARIO   9.06           co\n",
       "4       2004-01-01 04:00:00    BELISARIO   6.57           co\n",
       "...                     ...          ...    ...          ...\n",
       "1524523 2025-08-31 19:00:00  SAN ANTONIO  12.78  Temperature\n",
       "1524524 2025-08-31 20:00:00  SAN ANTONIO  12.28  Temperature\n",
       "1524525 2025-08-31 21:00:00  SAN ANTONIO  12.21  Temperature\n",
       "1524526 2025-08-31 22:00:00  SAN ANTONIO  12.35  Temperature\n",
       "1524527 2025-08-31 23:00:00  SAN ANTONIO  12.22  Temperature\n",
       "\n",
       "[2828207 rows x 4 columns]"
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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