You've already forked etude_lego_jurassic_world
Ajoute le genre des personnages et colore les graphiques
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@@ -1,20 +1,35 @@
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"""Diagramme de longévité des personnages (bornes d'apparition)."""
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from pathlib import Path
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from typing import List
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from typing import Dict, 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.milestones import load_milestones
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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_spans(path: Path) -> List[dict]:
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"""Charge le CSV des bornes min/max par personnage."""
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return read_rows(path)
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def plot_character_spans(spans_path: Path, destination_path: Path) -> None:
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def plot_character_spans(spans_path: Path, destination_path: Path, milestones_path: Path | None = None) -> None:
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"""Trace un diagramme en barres représentant la longévité des personnages."""
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rows = load_spans(spans_path)
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if not rows:
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@@ -23,18 +38,22 @@ def plot_character_spans(spans_path: Path, destination_path: Path) -> None:
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starts = [int(row["start_year"]) for row in rows]
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ends = [int(row["end_year"]) for row in rows]
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counts = [int(row["total_minifigs"]) 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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widths = [end - start + 1 for start, end in zip(starts, ends)]
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min_year = min(starts)
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max_year = max(ends)
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height = max(5, len(rows) * 0.3)
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milestones = load_milestones(milestones_path) if milestones_path else []
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fig, ax = plt.subplots(figsize=(12, height))
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bars = ax.barh(
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positions,
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widths,
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left=starts,
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color="#1f77b4",
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color=colors,
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edgecolor="#0d0d0d",
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linewidth=0.6,
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)
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@@ -57,6 +76,55 @@ def plot_character_spans(spans_path: Path, destination_path: Path) -> None:
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color="#0d0d0d",
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)
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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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if milestones:
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milestones_in_range = sorted(
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[m for m in milestones if min_year <= m["year"] <= max_year],
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key=lambda m: (m["year"], m["description"]),
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)
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milestone_offsets: Dict[int, int] = {}
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offset_step = 0.2
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max_offset = 0
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y_bottom, y_top = ax.get_ylim()
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text_y = y_top - (y_top - y_bottom) * 0.01
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for milestone in milestones_in_range:
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year = milestone["year"]
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count_for_year = milestone_offsets.get(year, 0)
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milestone_offsets[year] = count_for_year + 1
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horizontal_offset = offset_step * (count_for_year // 2 + 1)
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max_offset = max(max_offset, count_for_year)
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if count_for_year % 2 == 1:
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horizontal_offset *= -1
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text_x = year + horizontal_offset
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ax.axvline(year, color="#d62728", linestyle="--", linewidth=1, alpha=0.65)
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ax.text(
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text_x,
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text_y,
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milestone["description"],
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rotation=90,
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verticalalignment="top",
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horizontalalignment="center",
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fontsize=8,
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color="#d62728",
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)
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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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@@ -4,11 +4,25 @@ 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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@@ -24,11 +38,13 @@ def plot_minifigs_per_character(counts_path: Path, destination_path: Path) -> No
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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="#1f77b4", edgecolor="#0d0d0d", linewidth=0.6)
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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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@@ -40,6 +56,23 @@ def plot_minifigs_per_character(counts_path: Path, destination_path: Path) -> No
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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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