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https://github.com/guezoloic/millesima-ai-engine.git
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64 lines
2.0 KiB
Python
Executable File
64 lines
2.0 KiB
Python
Executable File
#!/usr/bin/env python3
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from os import getcwd
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from os.path import normpath, join
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from sys import argv
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from pandas import read_csv, DataFrame
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from cleaning import (display_info,
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drop_empty_appellation,
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mean_robert,
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mean_robinson,
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mean_suckling,
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fill_missing_scores,
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encode_appellation)
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def load_csv(filename: str) -> DataFrame:
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path: str = normpath(join(getcwd(), filename))
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return read_csv(path)
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def save_csv(df: DataFrame, out_filename: str) -> None:
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df.to_csv(out_filename, index=False)
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def main() -> None:
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if len(argv) != 2:
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raise ValueError(f"Usage: {argv[0]} <filename.csv>")
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df = load_csv(argv[1])
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display_info(df, "Avant le nettoyage")
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df = drop_empty_appellation(df)
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save_csv(df, "donnee_clean.csv")
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display_info(df, "Après nettoyage d'appellations manquantes")
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#la moyenne des notes des vins pour chaque appellation
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robert_means = mean_robert(df)
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save_csv(robert_means, "mean_robert_by_appellation.csv")
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display_info(robert_means, "Moyennes Robert par appellation")
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robinson_means = mean_robinson(df)
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save_csv(robinson_means, "mean_robinson_by_appellation.csv")
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display_info(robinson_means, "Moyennes Robinson par appellation")
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suckling_means = mean_suckling(df)
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save_csv(suckling_means, "mean_suckling_by_appellation.csv")
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display_info(suckling_means, "Moyennes Suckling par appellation")
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df_missing_scores = fill_missing_scores(df)
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save_csv(df_missing_scores, "donnee_filled.csv")
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display_info(df_missing_scores, "Après remplissage des notes manquantes par la moyenne de l'appellation")
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df_ready = encode_appellation(df_missing_scores)
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save_csv(df_ready, "donnee_ready.csv")
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display_info(df_ready, "Après remplacer la colonne 'Appellation' par des colonnes indicatrices")
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if __name__ == "__main__":
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try:
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main()
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except Exception as e:
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print(f"ERREUR: {e}") |