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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from data_loading import create_features_and_targets\n",
"from data_api_calls import get_data\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"dataset = pd.read_csv(\"dataset.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of rows with missing values dropped: 7\n"
]
}
],
"source": [
"test_data = create_features_and_targets(\n",
" data=dataset,\n",
" target_particle=\"NO2\",\n",
" lag_days=7,\n",
" sma_days=7,\n",
" days_ahead=3,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"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>NO2</th>\n",
" <th>O3</th>\n",
" <th>wind_speed</th>\n",
" <th>mean_temp</th>\n",
" <th>global_radiation</th>\n",
" <th>percipitation</th>\n",
" <th>pressure</th>\n",
" <th>minimum_visibility</th>\n",
" <th>humidity</th>\n",
" <th>weekday_sin</th>\n",
" <th>...</th>\n",
" <th>O3_last_year_4_days_before</th>\n",
" <th>NO2_last_year_4_days_before</th>\n",
" <th>O3_last_year_5_days_before</th>\n",
" <th>NO2_last_year_5_days_before</th>\n",
" <th>O3_last_year_6_days_before</th>\n",
" <th>NO2_last_year_6_days_before</th>\n",
" <th>O3_last_year_7_days_before</th>\n",
" <th>NO2_last_year_7_days_before</th>\n",
" <th>O3_last_year_3_days_after</th>\n",
" <th>NO2_last_year_3_days_after</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>20.281667</td>\n",
" <td>25.787521</td>\n",
" <td>76</td>\n",
" <td>121</td>\n",
" <td>54</td>\n",
" <td>97</td>\n",
" <td>10266</td>\n",
" <td>116</td>\n",
" <td>87</td>\n",
" <td>0.781831</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1 rows × 103 columns</p>\n",
"</div>"
],
"text/plain": [
" NO2 O3 wind_speed mean_temp global_radiation \\\n",
"0 20.281667 25.787521 76 121 54 \n",
"\n",
" percipitation pressure minimum_visibility humidity weekday_sin ... \\\n",
"0 97 10266 116 87 0.781831 ... \n",
"\n",
" O3_last_year_4_days_before NO2_last_year_4_days_before \\\n",
"0 0 0 \n",
"\n",
" O3_last_year_5_days_before NO2_last_year_5_days_before \\\n",
"0 0 0 \n",
"\n",
" O3_last_year_6_days_before NO2_last_year_6_days_before \\\n",
"0 0 0 \n",
"\n",
" O3_last_year_7_days_before NO2_last_year_7_days_before \\\n",
"0 0 0 \n",
"\n",
" O3_last_year_3_days_after NO2_last_year_3_days_after \n",
"0 0 0 \n",
"\n",
"[1 rows x 103 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "ml-industry",
"language": "python",
"name": "python3"
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"language_info": {
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"file_extension": ".py",
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