Compare la répartition des genres minifigs vs personnages

lib/plots/minifig_gender_share.py

@@ -25,12 +25,7 @@ def plot_minifig_gender_share(counts_path: Path, destination_path: Path) -> None
     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)
+    labels = [f"{GENDER_LABELS.get(g.strip().lower(), 'Inconnu')} ({count})" for g, count in zip(genders, counts)]
 
     fig, ax = plt.subplots(figsize=(6, 6))
     ax.pie(
@@ -48,3 +43,31 @@ def plot_minifig_gender_share(counts_path: Path, destination_path: Path) -> None
     fig.tight_layout()
     fig.savefig(destination_path, dpi=160)
     plt.close(fig)
+
+
+def plot_character_gender_share(counts_path: Path, destination_path: Path) -> None:
+    """Trace un diagramme circulaire de la répartition des personnages par genre."""
+    rows = [row for row in load_gender_counts(counts_path) if row["gender"].strip().lower() in ("male", "female")]
+    if not rows:
+        return
+    genders = [row["gender"] for row in rows]
+    counts = [int(row["character_count"]) for row in rows]
+    colors = [GENDER_COLORS.get(gender.strip().lower(), GENDER_COLORS["unknown"]) for gender in genders]
+    labels = [f"{GENDER_LABELS.get(g.strip().lower(), 'Inconnu')} ({count})" for g, count in zip(genders, counts)]
+
+    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 personnages par genre (hors inconnus)")
+
+    ensure_parent_dir(destination_path)
+    fig.tight_layout()
+    fig.savefig(destination_path, dpi=160)
+    plt.close(fig)

lib/rebrickable/minifig_characters.py

@@ -195,6 +195,28 @@ def aggregate_by_gender(rows: Iterable[dict]) -> List[dict]:
     return aggregates
 
 
+def aggregate_characters_by_gender(rows: Iterable[dict]) -> List[dict]:
+    """Compte les personnages distincts par genre (hors genres inconnus)."""
+    gender_by_character: Dict[str, str] = {}
+    counts: Dict[str, int] = defaultdict(int)
+    for row in rows:
+        character = row["known_character"].strip()
+        gender = row.get("gender", "").strip().lower()
+        if character == "":
+            continue
+        if gender not in ("male", "female"):
+            continue
+        if character in gender_by_character:
+            continue
+        gender_by_character[character] = gender
+        counts[gender] += 1
+    aggregates: List[dict] = []
+    for gender in ("female", "male"):
+        if gender in counts:
+            aggregates.append({"gender": gender, "character_count": str(counts[gender])})
+    return aggregates
+
+
 def write_character_counts(path: Path, rows: Sequence[dict]) -> None:
     """Écrit le CSV des comptes par personnage."""
     ensure_parent_dir(path)
@@ -206,6 +228,17 @@ def write_character_counts(path: Path, rows: Sequence[dict]) -> None:
             writer.writerow(row)
 
 
+def write_character_gender_counts(path: Path, rows: Sequence[dict]) -> None:
+    """Écrit le CSV des comptes de personnages par genre."""
+    ensure_parent_dir(path)
+    fieldnames = ["gender", "character_count"]
+    with path.open("w", newline="") as csv_file:
+        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
+        writer.writeheader()
+        for row in rows:
+            writer.writerow(row)
+
+
 def write_new_characters_by_year(path: Path, rows: Sequence[dict]) -> None:
     """Écrit le CSV des personnages introduits chaque année."""
     ensure_parent_dir(path)