129 lines
4.5 KiB
Python
129 lines
4.5 KiB
Python
"""Graphique du nombre de minifigs par personnage."""
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from pathlib import Path
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from typing import List
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import matplotlib.pyplot as plt
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from matplotlib.patches import Patch
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from lib.filesystem import ensure_parent_dir
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from lib.rebrickable.stats import read_rows
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GENDER_COLORS = {
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"male": "#4c72b0",
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"female": "#c44e52",
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"unknown": "#7f7f7f",
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}
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GENDER_LABELS = {
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"male": "Homme",
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"female": "Femme",
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"unknown": "Inconnu",
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"": "Inconnu",
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}
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def load_counts(path: Path) -> List[dict]:
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"""Charge le CSV des comptes par personnage."""
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return read_rows(path)
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def load_presence(path: Path) -> List[dict]:
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"""Charge le CSV de présence par année/personnage."""
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return read_rows(path)
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def plot_minifigs_per_character(counts_path: Path, destination_path: Path) -> None:
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"""Trace un diagramme en barres horizontales du nombre de minifigs par personnage."""
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rows = load_counts(counts_path)
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characters = [row["known_character"] for row in rows]
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counts = [int(row["minifig_count"]) for row in rows]
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genders = [row.get("gender", "") for row in rows]
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colors = [GENDER_COLORS.get(gender.strip().lower(), GENDER_COLORS["unknown"]) for gender in genders]
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positions = list(range(len(rows)))
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height = max(6, len(rows) * 0.22)
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fig, ax = plt.subplots(figsize=(12, height))
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bars = ax.barh(positions, counts, color=colors, edgecolor="#0d0d0d", linewidth=0.6)
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ax.set_yticks(positions)
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ax.set_yticklabels(characters)
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ax.invert_yaxis()
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ax.set_xlabel("Nombre de minifigs distinctes")
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ax.set_title("Minifigs par personnage (thèmes filtrés)")
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ax.grid(True, axis="x", linestyle="--", alpha=0.25)
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max_value = max(counts) if counts else 0
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ax.set_xlim(0, max_value + 1)
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for index, bar in enumerate(bars):
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value = counts[index]
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ax.text(value + 0.1, bar.get_y() + bar.get_height() / 2, str(value), va="center", fontsize=8)
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legend_entries = []
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seen = set()
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for gender in genders:
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normalized = gender.strip().lower()
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if normalized in seen:
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continue
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seen.add(normalized)
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legend_entries.append(
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Patch(
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facecolor=GENDER_COLORS.get(normalized, GENDER_COLORS["unknown"]),
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edgecolor="#0d0d0d",
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linewidth=0.6,
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label=GENDER_LABELS.get(normalized, "Inconnu"),
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)
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)
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if legend_entries:
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ax.legend(handles=legend_entries, title="Genre", loc="lower right")
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ensure_parent_dir(destination_path)
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fig.tight_layout()
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fig.savefig(destination_path, dpi=160)
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plt.close(fig)
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def plot_character_year_presence(presence_path: Path, destination_path: Path) -> None:
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"""Trace une heatmap indiquant le nombre de minifigs par personnage et par année."""
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rows = load_presence(presence_path)
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if not rows:
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return
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years = sorted({int(row["year"]) for row in rows})
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characters = sorted(
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{row["known_character"] for row in rows},
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key=lambda name: (
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-sum(int(r["minifig_count"]) for r in rows if r["known_character"] == name),
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name,
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),
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)
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matrix = []
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for character in characters:
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row_values = []
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for year in years:
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count = next(
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(r["minifig_count"] for r in rows if r["known_character"] == character and int(r["year"]) == year),
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"0",
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)
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row_values.append(int(count))
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matrix.append(row_values)
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height = max(5, len(characters) * 0.35)
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fig, ax = plt.subplots(figsize=(12, height))
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cax = ax.imshow(matrix, aspect="auto", cmap="Greens", interpolation="nearest")
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ax.set_xticks(range(len(years)))
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ax.set_xticklabels(years, rotation=45, ha="right")
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ax.set_yticks(range(len(characters)))
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ax.set_yticklabels(characters)
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ax.set_xlabel("Année")
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ax.set_ylabel("Personnage")
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ax.set_title("Nombre de minifigs par personnage et par année (hors figurants)")
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for i, character in enumerate(characters):
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for j, year in enumerate(years):
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value = matrix[i][j]
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if value == 1:
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ax.text(j, i, "●", ha="center", va="center", color="#0d0d0d", fontsize=7)
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elif value > 1:
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ax.text(j, i, str(value), ha="center", va="center", color="#0d0d0d", fontsize=7)
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fig.colorbar(cax, ax=ax, fraction=0.046, pad=0.04, label="Nombre de minifigs")
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ensure_parent_dir(destination_path)
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fig.tight_layout()
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fig.savefig(destination_path, dpi=160)
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plt.close(fig)
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