Ajout de visualisations classiques

scripts/plot_diurnal_cycle.py

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+# scripts/plot_diurnal_cycle.py
+from __future__ import annotations
+
+from pathlib import Path
+
+from meteo.dataset import load_raw_csv
+from meteo.variables import VARIABLES_BY_KEY
+from meteo.analysis import compute_diurnal_cycle_statistics
+from meteo.plots import plot_diurnal_cycle
+
+
+CSV_PATH = Path("data/weather_minutely.csv")
+OUTPUT_PATH = Path("figures/diurnal_cycle/diurnal_cycle.png")
+
+VARIABLE_KEYS = ["temperature", "humidity", "pressure", "wind_speed"]
+
+
+def main() -> None:
+    if not CSV_PATH.exists():
+        print(f"⚠ Fichier introuvable : {CSV_PATH}")
+        return
+
+    df = load_raw_csv(CSV_PATH)
+    print(f"Dataset minuté chargé : {CSV_PATH}")
+    print(f"  Lignes   : {len(df)}")
+    print(f"  Colonnes : {list(df.columns)}")
+    print()
+
+    variables = [VARIABLES_BY_KEY[key] for key in VARIABLE_KEYS]
+    stats = compute_diurnal_cycle_statistics(
+        df=df,
+        variables=variables,
+        quantiles=(0.25, 0.75),
+    )
+
+    output_path = plot_diurnal_cycle(
+        stats=stats,
+        variables=variables,
+        output_path=OUTPUT_PATH,
+    )
+
+    print(f"✔ Cycle diurne sauvegardé : {output_path}")
+
+
+if __name__ == "__main__":
+    main()

scripts/plot_rain_hyetograph.py

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+# scripts/plot_rain_hyetograph.py
+from __future__ import annotations
+
+from pathlib import Path
+
+from meteo.dataset import load_raw_csv
+from meteo.analysis import compute_daily_rainfall_totals
+from meteo.plots import plot_daily_rainfall_hyetograph
+
+
+CSV_PATH = Path("data/weather_minutely.csv")
+OUTPUT_PATH = Path("figures/rainfall_hyetograph/daily_rainfall_hyetograph.png")
+
+
+def main() -> None:
+    if not CSV_PATH.exists():
+        print(f"⚠ Fichier introuvable : {CSV_PATH}")
+        return
+
+    df = load_raw_csv(CSV_PATH)
+    print(f"Dataset minuté chargé : {CSV_PATH}")
+    print(f"  Lignes   : {len(df)}")
+    print(f"  Colonnes : {list(df.columns)}")
+    print()
+
+    daily_totals = compute_daily_rainfall_totals(df=df, rate_column="rain_rate")
+
+    if daily_totals.empty:
+        print("⚠ Aucune donnée de pluie cumule à afficher.")
+        return
+
+    output_path = plot_daily_rainfall_hyetograph(
+        daily_rain=daily_totals,
+        output_path=OUTPUT_PATH,
+    )
+
+    print(f"✔ Hyétographe quotidien exporté : {output_path}")
+
+
+if __name__ == "__main__":
+    main()

scripts/plot_wind_rose.py

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+# scripts/plot_wind_rose.py
+from __future__ import annotations
+
+from pathlib import Path
+
+from meteo.dataset import load_raw_csv
+from meteo.analysis import compute_wind_rose_distribution
+from meteo.plots import plot_wind_rose
+
+
+CSV_PATH = Path("data/weather_minutely.csv")
+OUTPUT_PATH = Path("figures/wind_rose/wind_rose.png")
+
+
+def main() -> None:
+    if not CSV_PATH.exists():
+        print(f"⚠ Fichier introuvable : {CSV_PATH}")
+        return
+
+    df = load_raw_csv(CSV_PATH)
+    print(f"Dataset minuté chargé : {CSV_PATH}")
+    print(f"  Lignes   : {len(df)}")
+    print(f"  Colonnes : {list(df.columns)}")
+    print()
+
+    frequencies, labels, sector_size = compute_wind_rose_distribution(
+        df=df,
+        direction_sector_size=30,
+        speed_bins=(0, 5, 15, 30, 50, float("inf")),
+    )
+
+    if frequencies.empty:
+        print("⚠ Pas assez de données pour construire une rose des vents.")
+        return
+
+    output_path = plot_wind_rose(
+        frequencies=frequencies,
+        speed_bin_labels=labels,
+        output_path=OUTPUT_PATH,
+        sector_size_deg=sector_size,
+        cmap="plasma",
+    )
+
+    print(f"✔ Rose des vents exportée : {output_path}")
+
+
+if __name__ == "__main__":
+    main()

scripts/plot_wind_rose_rain.py

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+# scripts/plot_wind_rose_rain.py
+from __future__ import annotations
+
+from pathlib import Path
+
+from meteo.dataset import load_raw_csv
+from meteo.analysis import compute_wind_rose_distribution
+from meteo.plots import plot_wind_rose
+
+
+CSV_PATH = Path("data/weather_minutely.csv")
+OUTPUT_PATH = Path("figures/wind_rose/wind_rose_during_rain.png")
+RAIN_THRESHOLD = 0.2  # mm/h, pour considérer qu'il pleut réellement
+
+
+def main() -> None:
+    if not CSV_PATH.exists():
+        print(f"⚠ Fichier introuvable : {CSV_PATH}")
+        return
+
+    df = load_raw_csv(CSV_PATH)
+    print(f"Dataset minuté chargé : {CSV_PATH}")
+    print(f"  Lignes   : {len(df)}")
+    print(f"  Colonnes : {list(df.columns)}")
+    print()
+
+    rainy_df = df[df["rain_rate"].fillna(0.0) >= RAIN_THRESHOLD]
+    print(f"Lignes avec pluie ≥ {RAIN_THRESHOLD} mm/h : {len(rainy_df)}")
+    if rainy_df.empty:
+        print("⚠ Aucun événement pluvieux ne dépasse ce seuil, abandon.")
+        return
+
+    frequencies, labels, sector_size = compute_wind_rose_distribution(
+        df=rainy_df,
+        direction_sector_size=30,
+        speed_bins=(0, 5, 15, 30, 50, float("inf")),
+    )
+
+    if frequencies.empty:
+        print("⚠ Pas assez de données pour construire une rose des vents pendant la pluie.")
+        return
+
+    output_path = plot_wind_rose(
+        frequencies=frequencies,
+        speed_bin_labels=labels,
+        output_path=OUTPUT_PATH,
+        sector_size_deg=sector_size,
+        cmap="plasma",
+    )
+
+    print(f"✔ Rose des vents pendant la pluie exportée : {output_path}")
+
+
+if __name__ == "__main__":
+    main()