Ajoute l’étape 25 de répartition des minifigs par genre

lib/plots/minifig_gender_share.py

@@ -0,0 +1,48 @@
+"""Diagramme de répartition des minifigs par genre."""
+
+from pathlib import Path
+from typing import List
+
+import matplotlib.pyplot as plt
+
+from lib.filesystem import ensure_parent_dir
+from lib.plots.gender_palette import GENDER_COLORS, GENDER_LABELS
+from lib.rebrickable.stats import read_rows
+
+
+def load_gender_counts(path: Path) -> List[dict]:
+    """Charge le CSV des comptes par genre."""
+    return read_rows(path)
+
+
+def plot_minifig_gender_share(counts_path: Path, destination_path: Path) -> None:
+    """Trace un diagramme circulaire de la répartition des minifigs par genre."""
+    rows = load_gender_counts(counts_path)
+    if not rows:
+        return
+    genders = [row["gender"] for row in rows]
+    counts = [int(row["minifig_count"]) for row in rows]
+    colors = [GENDER_COLORS.get(gender.strip().lower(), GENDER_COLORS["unknown"]) for gender in genders]
+    total = sum(counts)
+    labels = []
+    for gender, count in zip(genders, counts):
+        percent = (count / total) * 100 if total else 0
+        label = f"{GENDER_LABELS.get(gender.strip().lower(), 'Inconnu')} ({percent:.1f} %)"
+        labels.append(label)
+
+    fig, ax = plt.subplots(figsize=(6, 6))
+    ax.pie(
+        counts,
+        labels=labels,
+        colors=colors,
+        startangle=90,
+        wedgeprops={"linewidth": 0.6, "edgecolor": "#0d0d0d"},
+    )
+    centre_circle = plt.Circle((0, 0), 0.5, fc="white")
+    ax.add_artist(centre_circle)
+    ax.set_title("Répartition des minifigs par genre (thèmes filtrés)")
+
+    ensure_parent_dir(destination_path)
+    fig.tight_layout()
+    fig.savefig(destination_path, dpi=160)
+    plt.close(fig)