67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
# scripts/plot_seasonal_overview.py
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from __future__ import annotations
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from pathlib import Path
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from meteo.dataset import load_raw_csv
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from meteo.variables import VARIABLES_BY_KEY
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from meteo.analysis import compute_rainfall_by_season
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from meteo.plots import plot_seasonal_boxplots, plot_rainfall_by_season
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from meteo.season import sort_season_labels, SEASON_LABELS
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CSV_PATH = Path("data/weather_minutely.csv")
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OUTPUT_DIR = Path("figures/seasonal")
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BOXPLOT_VARIABLES = ["temperature", "humidity", "pressure", "wind_speed", "illuminance"]
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def infer_season_order(df) -> list[str]:
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seasons = df["season"].dropna().unique()
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order = sort_season_labels(seasons, order=SEASON_LABELS)
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if not order:
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order = list(SEASON_LABELS)
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return order
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def main() -> None:
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if not CSV_PATH.exists():
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print(f"⚠ Fichier introuvable : {CSV_PATH}")
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return
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df = load_raw_csv(CSV_PATH)
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print(f"Dataset minuté chargé : {CSV_PATH}")
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print(f" Lignes : {len(df)}")
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print(f" Colonnes : {list(df.columns)}")
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print()
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if "season" not in df.columns:
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print('⚠ La colonne "season" est absente. Relancez python "docs/02 - Préparation des données/scripts/make_minutely_dataset.py".')
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return
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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season_order = infer_season_order(df)
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print(f"Saisons détectées : {season_order}")
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variables = [VARIABLES_BY_KEY[key] for key in BOXPLOT_VARIABLES]
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boxplot_path = OUTPUT_DIR / "seasonal_boxplots.png"
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plot_seasonal_boxplots(
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df=df,
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variables=variables,
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output_path=boxplot_path,
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season_order=season_order,
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title="Distribution des mesures par saison",
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)
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print(f"✔ Boxplots saisonniers : {boxplot_path}")
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rainfall = compute_rainfall_by_season(df=df, rate_column="rain_rate", season_column="season")
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rainfall_path = OUTPUT_DIR / "rainfall_by_season.png"
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plot_rainfall_by_season(rainfall_df=rainfall, output_path=rainfall_path)
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print(f"✔ Pluie saisonnière : {rainfall_path}")
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print("✔ Tous les graphiques saisonniers ont été générés.")
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if __name__ == "__main__":
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main()
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