Complète l’étape 26 avec l’évolution minifigs/set

lib/plots/minifig_parts_timeline.py

@@ -0,0 +1,45 @@
+"""Évolution annuelle du nombre moyen de minifigs par set."""
+
+from pathlib import Path
+from typing import List
+
+import matplotlib.pyplot as plt
+
+from lib.filesystem import ensure_parent_dir
+from lib.rebrickable.stats import read_rows
+
+
+def load_minifigs_per_year(path: Path, scope: str) -> List[tuple[int, float]]:
+    """Charge les moyennes annuelles pour un scope donné."""
+    rows = read_rows(path)
+    values: List[tuple[int, float]] = []
+    for row in rows:
+        if row["scope"] != scope:
+            continue
+        values.append((int(row["year"]), float(row["average_minifigs_per_set"])))
+    values.sort(key=lambda item: item[0])
+    return values
+
+
+def plot_minifigs_per_set_timeline(path: Path, destination_path: Path) -> None:
+    """Trace l'évolution annuelle des minifigs par set (global vs filtré)."""
+    filtered = load_minifigs_per_year(path, "filtered")
+    catalog = load_minifigs_per_year(path, "catalog")
+    if not filtered or not catalog:
+        return
+    filtered_years, filtered_values = zip(*filtered)
+    catalog_years, catalog_values = zip(*catalog)
+
+    fig, ax = plt.subplots(figsize=(12, 6))
+    ax.plot(catalog_years, catalog_values, color="#888888", linestyle="--", linewidth=1.6, label="Catalogue global")
+    ax.plot(filtered_years, filtered_values, color="#1f77b4", linewidth=2.2, marker="o", label="Thèmes filtrés")
+    ax.set_xlabel("Année")
+    ax.set_ylabel("Nombre moyen de minifigs par set")
+    ax.set_title("Évolution des minifigs par set")
+    ax.grid(True, linestyle="--", alpha=0.3)
+    ax.legend(loc="upper left")
+
+    ensure_parent_dir(destination_path)
+    fig.tight_layout()
+    fig.savefig(destination_path, dpi=160)
+    plt.close(fig)