Ajoute l’étape 28 des palettes perceptuelles

2025-12-02 15:50:41 +01:00
parent a93813a9f7
commit 7aeaf60c7a
7 changed files with 383 additions and 2 deletions
--- a/lib/plots/set_color_swatches_perceptual.py
+++ b/lib/plots/set_color_swatches_perceptual.py
@@ -0,0 +1,93 @@
+"""Visualisation des palettes perceptuelles (top 5) par set."""
+
+from collections import defaultdict
+from pathlib import Path
+from typing import Dict, List, Sequence
+
+import matplotlib.pyplot as plt
+
+from lib.filesystem import ensure_parent_dir
+from lib.rebrickable.stats import read_rows
+
+
+PLACEHOLDER_COLOR = "#e0e0e0"
+
+
+def load_swatches(path: Path) -> List[dict]:
+    """Charge le CSV des palettes perceptuelles."""
+    return read_rows(path)
+
+
+def group_swatches(rows: Sequence[dict], top_n: int = 5) -> List[dict]:
+    """Groupe les couleurs par set et complète avec placeholders si besoin."""
+    grouped: Dict[str, List[dict]] = defaultdict(list)
+    meta: Dict[str, dict] = {}
+    for row in rows:
+        grouped[row["set_num"]].append(row)
+        meta[row["set_num"]] = {"name": row["name"], "year": int(row["year"])}
+    result: List[dict] = []
+    for set_num, colors in grouped.items():
+        sorted_colors = sorted(colors, key=lambda r: int(r["rank"]))
+        while len(sorted_colors) < top_n:
+            sorted_colors.append(
+                {
+                    "set_num": set_num,
+                    "name": meta[set_num]["name"],
+                    "year": str(meta[set_num]["year"]),
+                    "rank": str(len(sorted_colors) + 1),
+                    "color_rgb": "",
+                    "color_name": "N/A",
+                    "share_non_minifig": "0",
+                    "quantity_non_minifig": "0",
+                }
+            )
+        result.append(
+            {
+                "set_num": set_num,
+                "name": meta[set_num]["name"],
+                "year": meta[set_num]["year"],
+                "colors": sorted_colors[:top_n],
+            }
+        )
+    result.sort(key=lambda r: (r["year"], r["set_num"], r["name"]))
+    return result
+
+
+def plot_set_color_swatches_perceptual(swatches_path: Path, destination_path: Path) -> None:
+    """Trace les 5 couleurs perceptuelles par set avec taille proportionnelle à la part."""
+    rows = load_swatches(swatches_path)
+    if not rows:
+        return
+    grouped = group_swatches(rows, top_n=5)
+    set_labels = [f"{item['year']} – {item['name']}" for item in grouped]
+    y_positions = list(range(len(grouped)))
+    height = max(4, len(grouped) * 0.4)
+
+    fig, ax = plt.subplots(figsize=(12, height))
+    for y, item in zip(y_positions, grouped):
+        for idx, color in enumerate(item["colors"]):
+            rgb = color["color_rgb"].strip()
+            face_color = f"#{rgb}" if rgb else PLACEHOLDER_COLOR
+            share = float(color.get("share_non_minifig", "0"))
+            size = 450 + 900 * share
+            ax.scatter(
+                idx,
+                y,
+                s=size,
+                color=face_color,
+                edgecolor="#0d0d0d",
+                linewidth=0.6,
+                alpha=0.95,
+            )
+    ax.set_yticks(y_positions)
+    ax.set_yticklabels(set_labels)
+    ax.set_xticks([])
+    ax.invert_yaxis()
+    ax.set_xlim(-0.6, 4.6)
+    ax.set_title("Top 5 couleurs perceptuelles par set (hors minifigs, pièces techniques exclues)")
+    ax.grid(False)
+
+    ensure_parent_dir(destination_path)
+    fig.tight_layout()
+    fig.savefig(destination_path, dpi=160)
+    plt.close(fig)