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ajout : aout des tests test_cleaning.py

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Chahrazad650
2026-03-03 04:18:30 +01:00
parent 06097c257e
commit cefdb94dd5
3 changed files with 92 additions and 21 deletions
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26
main.py
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@@ -29,41 +29,33 @@ def main() -> None:
df = load_csv(argv[1])
print("=== Avant nettoyage ===")
display_info(df)
display_info(df, "Avant le nettoyage")
df = drop_empty_appellation(df)
save_csv(df, "donnee_clean.csv")
print("\n=== Après nettoyage d'appellations manquantes ===")
display_info(df)
display_info(df, "Après nettoyage d'appellations manquantes")
#la moyenne des notes des vins pour chaque appellation
robert_means = mean_robert(df)
save_csv(robert_means, "mean_robert_by_appellation.csv")
print("\n=== moyenne Robert par appellation ===")
print(robert_means.head(10))
display_info(robert_means, "Moyennes Robert par appellation")
robinson_means = mean_robinson(df)
save_csv(robinson_means, "mean_robinson_by_appellation.csv")
print("\n=== moyennes Robinson par appellation ===")
print(robinson_means.head(10))
display_info(robinson_means, "Moyennes Robinson par appellation")
suckling_means = mean_suckling(df)
save_csv(suckling_means, "mean_suckling_by_appellation.csv")
print("\n=== moyennes Suckling par appellation ===")
print(suckling_means.head(10))
display_info(suckling_means, "Moyennes Suckling par appellation")
df_missing_scores = fill_missing_scores(df)
save_csv(df_missing_scores, "donnee_filled.csv")
print("\n=== Après remplissage des notes manquantes ===")
display_info(df_missing_scores)
display_info(df_missing_scores, "Après remplissage des notes manquantes par la moyenne de l'appellation")
df_ready = encode_appellation(df_missing_scores)
save_csv(df_ready, "donnee_ready.csv")
print("\n=== Après remplacer la colonne 'Appellation' par des colonnes indicatrices ===")
display_info(df_ready)
print(df_ready.filter(like="App_").any().head())
display_info(df_ready, "Après remplacer la colonne 'Appellation' par des colonnes indicatrices")
if __name__ == "__main__":
try: