"""Visualisation des couleurs de têtes de minifigs sur le catalogue complet.""" from pathlib import Path from typing import Dict, Iterable, List, Tuple import matplotlib.pyplot as plt from lib.filesystem import ensure_parent_dir from lib.rebrickable.stats import read_rows def load_global_heads(heads_path: Path) -> List[dict]: """Charge l'agrégat global des têtes par année.""" return read_rows(heads_path) def select_top_colors(rows: Iterable[dict], limit: int = 12) -> List[Tuple[str, str, str]]: """Retourne les couleurs les plus fréquentes globalement (nom, rgb, is_translucent).""" totals: Dict[Tuple[str, str, str], int] = {} for row in rows: key = (row["color_name"], row["color_rgb"], row["is_translucent"]) totals[key] = totals.get(key, 0) + int(row["quantity"]) sorted_colors = sorted(totals.items(), key=lambda item: (-item[1], item[0][0], item[0][1])) return [color for color, _ in sorted_colors[:limit]] def build_share_matrix( rows: Iterable[dict], top_colors: List[Tuple[str, str, str]] ) -> Tuple[List[int], List[Tuple[str, str, str]], List[Dict[str, float]]]: """Construit les parts par année en regroupant les couleurs hors top dans 'Autres'.""" years = sorted({int(row["year"]) for row in rows}) colors = top_colors + [("Autres", "444444", "false")] shares_by_year: List[Dict[str, float]] = [] rows_by_year: Dict[int, List[dict]] = {year: [] for year in years} for row in rows: rows_by_year[int(row["year"])].append(row) for year in years: year_rows = rows_by_year[year] total = sum(int(r["quantity"]) for r in year_rows) shares: Dict[str, float] = {color[0]: 0.0 for color in colors} for r in year_rows: key = (r["color_name"], r["color_rgb"], r["is_translucent"]) quantity = int(r["quantity"]) target = "Autres" if key not in top_colors else r["color_name"] shares[target] = shares.get(target, 0.0) + quantity / total if total > 0 else 0.0 shares_by_year.append(shares) return years, colors, shares_by_year def plot_global_head_shares( heads_path: Path, destination_path: Path, top_limit: int = 12, ) -> None: """Trace les parts des couleurs de têtes de minifigs par année (catalogue complet).""" rows = load_global_heads(heads_path) top_colors = select_top_colors(rows, limit=top_limit) years, colors, shares_by_year = build_share_matrix(rows, top_colors) fig, ax = plt.subplots(figsize=(14, 6)) bottoms = [0.0] * len(years) y_positions = list(range(len(years))) for name, color_rgb, is_trans in colors: values = [shares[name] for shares in shares_by_year] edge = "#f2f2f2" if is_trans == "true" else "#0d0d0d" ax.bar( years, values, bottom=bottoms, color=f"#{color_rgb}", edgecolor=edge, label=name, linewidth=0.7, ) bottoms = [b + v for b, v in zip(bottoms, values)] ax.set_ylim(0, 1.05) ax.set_ylabel("Part des couleurs (têtes de minifigs, catalogue complet)") ax.set_xlabel("Année") if len(years) > 15: step = max(1, len(years) // 10) ax.set_xticks(years[::step]) else: ax.set_xticks(years) ax.set_title("Répartition des couleurs de têtes de minifigs par année (catalogue complet)") ax.legend(loc="upper left", bbox_to_anchor=(1.02, 1), frameon=False) ax.grid(True, axis="y", linestyle="--", alpha=0.25) ensure_parent_dir(destination_path) fig.tight_layout() fig.savefig(destination_path, dpi=170) plt.close(fig)