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etude_lego_jurassic_world/lib/plots/minifig_characters.py

94 lines
3.4 KiB
Python

"""Graphique du nombre de minifigs par personnage."""
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_counts(path: Path) -> List[dict]:
"""Charge le CSV des comptes par personnage."""
return read_rows(path)
def load_presence(path: Path) -> List[dict]:
"""Charge le CSV de présence par année/personnage."""
return read_rows(path)
def plot_minifigs_per_character(counts_path: Path, destination_path: Path) -> None:
"""Trace un diagramme en barres horizontales du nombre de minifigs par personnage."""
rows = load_counts(counts_path)
characters = [row["known_character"] for row in rows]
counts = [int(row["minifig_count"]) for row in rows]
positions = list(range(len(rows)))
height = max(6, len(rows) * 0.22)
fig, ax = plt.subplots(figsize=(12, height))
bars = ax.barh(positions, counts, color="#1f77b4", edgecolor="#0d0d0d", linewidth=0.6)
ax.set_yticks(positions)
ax.set_yticklabels(characters)
ax.invert_yaxis()
ax.set_xlabel("Nombre de minifigs distinctes")
ax.set_title("Minifigs par personnage (thèmes filtrés)")
ax.grid(True, axis="x", linestyle="--", alpha=0.25)
max_value = max(counts) if counts else 0
ax.set_xlim(0, max_value + 1)
for index, bar in enumerate(bars):
value = counts[index]
ax.text(value + 0.1, bar.get_y() + bar.get_height() / 2, str(value), va="center", fontsize=8)
ensure_parent_dir(destination_path)
fig.tight_layout()
fig.savefig(destination_path, dpi=160)
plt.close(fig)
def plot_character_year_presence(presence_path: Path, destination_path: Path) -> None:
"""Trace une heatmap binaire indiquant la présence d'un personnage par année."""
rows = load_presence(presence_path)
if not rows:
return
years = sorted({int(row["year"]) for row in rows})
characters = sorted(
{row["known_character"] for row in rows},
key=lambda name: (
-sum(1 for r in rows if r["known_character"] == name and r["present"] == "1"),
name,
),
)
matrix = []
for character in characters:
row_values = []
for year in years:
present = next(
(r["present"] for r in rows if r["known_character"] == character and int(r["year"]) == year),
"0",
)
row_values.append(int(present))
matrix.append(row_values)
height = max(5, len(characters) * 0.35)
fig, ax = plt.subplots(figsize=(12, height))
cax = ax.imshow(matrix, aspect="auto", cmap="Greens", interpolation="nearest")
ax.set_xticks(range(len(years)))
ax.set_xticklabels(years, rotation=45, ha="right")
ax.set_yticks(range(len(characters)))
ax.set_yticklabels(characters)
ax.set_xlabel("Année")
ax.set_ylabel("Personnage")
ax.set_title("Présence des personnages par année (hors figurants)")
for i, character in enumerate(characters):
for j, year in enumerate(years):
value = matrix[i][j]
if value == 1:
ax.text(j, i, "", ha="center", va="center", color="#0d0d0d", fontsize=7)
fig.colorbar(cax, ax=ax, fraction=0.046, pad=0.04, label="Présence (1 si minifig)")
ensure_parent_dir(destination_path)
fig.tight_layout()
fig.savefig(destination_path, dpi=160)
plt.close(fig)