Visualisations saisonnières et cumul de pluie

scripts/make_minutely_dataset.py

@@ -6,6 +6,7 @@ from pathlib import Path
 from meteo.dataset import load_raw_csv, resample_to_minutes
 from meteo.config import StationLocation
 from meteo.solar import add_solar_elevation_column
+from meteo.season import add_season_column
 
 
 FORMATTED_CSV_PATH = Path("data/weather_filled_1s.csv")
@@ -25,6 +26,7 @@ def main() -> None:
     df_min = resample_to_minutes(df_1s)
     print(f"Après resampling 60s : {len(df_min)} lignes")
 
+    hemisphere = "north"
     try:
         location = StationLocation.from_env(optional=True)
     except RuntimeError as exc:
@@ -32,6 +34,7 @@ def main() -> None:
         location = None
 
     if location is not None:
+        hemisphere = "south" if location.latitude < 0 else "north"
         print(
             f"Ajout de l'élévation solaire (lat={location.latitude}, lon={location.longitude}, "
             f"alt={location.elevation_m} m)..."
@@ -47,6 +50,9 @@ def main() -> None:
             "ℹ Coordonnées GPS non définies (STATION_LATITUDE / STATION_LONGITUDE). "
             "La colonne sun_elevation ne sera pas ajoutée."
         )
+        print("ℹ Saison : hypothèse par défaut = hémisphère nord. Définissez STATION_LATITUDE pour adapter.")
+
+    add_season_column(df_min, hemisphere=hemisphere)
 
     OUTPUT_CSV_PATH.parent.mkdir(parents=True, exist_ok=True)
     df_min.to_csv(OUTPUT_CSV_PATH, index_label="time")

scripts/plot_seasonal_overview.py

@@ -0,0 +1,66 @@
+# scripts/plot_seasonal_overview.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_rainfall_by_season
+from meteo.plots import plot_seasonal_boxplots, plot_rainfall_by_season
+from meteo.season import sort_season_labels, SEASON_LABELS
+
+
+CSV_PATH = Path("data/weather_minutely.csv")
+OUTPUT_DIR = Path("figures/seasonal")
+
+BOXPLOT_VARIABLES = ["temperature", "humidity", "pressure", "wind_speed"]
+
+
+def infer_season_order(df) -> list[str]:
+    seasons = df["season"].dropna().unique()
+    order = sort_season_labels(seasons, order=SEASON_LABELS)
+    if not order:
+        order = list(SEASON_LABELS)
+    return order
+
+
+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()
+
+    if "season" not in df.columns:
+        print("⚠ La colonne 'season' est absente. Relancez scripts.make_minutely_dataset.")
+        return
+
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+    season_order = infer_season_order(df)
+    print(f"Saisons détectées : {season_order}")
+
+    variables = [VARIABLES_BY_KEY[key] for key in BOXPLOT_VARIABLES]
+    boxplot_path = OUTPUT_DIR / "seasonal_boxplots.png"
+    plot_seasonal_boxplots(
+        df=df,
+        variables=variables,
+        output_path=boxplot_path,
+        season_order=season_order,
+        title="Distribution des mesures par saison",
+    )
+    print(f"✔ Boxplots saisonniers : {boxplot_path}")
+
+    rainfall = compute_rainfall_by_season(df=df, rate_column="rain_rate", season_column="season")
+    rainfall_path = OUTPUT_DIR / "rainfall_by_season.png"
+    plot_rainfall_by_season(rainfall_df=rainfall, output_path=rainfall_path)
+    print(f"✔ Pluie saisonnière : {rainfall_path}")
+
+    print("✔ Tous les graphiques saisonniers ont été générés.")
+
+
+if __name__ == "__main__":
+    main()