Fahrsimulator_MSY2526_AI/EDA/calculate_replacement_values.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "b9144326",
"metadata": {},
"source": [
"### Calculate replacement values for live deployment"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2a7b60d6",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"from pathlib import Path\n",
"import yaml"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "197cb8a6",
"metadata": {},
"outputs": [],
"source": [
"# TODO: insert path to database\n",
"dataset_path = Path(r\"\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6cf26eb2",
"metadata": {},
"outputs": [],
"source": [
"df=pd.read_parquet(dataset_path)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f2c5679e",
"metadata": {},
"outputs": [],
"source": [
"pd.set_option(\"display.max_rows\", None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e88981b2",
"metadata": {},
"outputs": [],
"source": [
"\n",
"# optional: your dataframe filtering code ...\n",
"\n",
"medians = df.median()\n",
"median_dict = medians.to_dict()\n",
"\n",
"# Wrap in fallback key\n",
"output = {'fallback': median_dict}\n",
"\n",
"# Save to YAML\n",
"with open('config.yaml', 'w') as f:\n",
" yaml.dump(output, f, default_flow_style=False, sort_keys=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "310",
"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": "3.10.19"
}
},
"nbformat": 4,
"nbformat_minor": 5
}