ファセットグリッドでカテゴリ別に小さな複数図を並べる

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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

rng = np.random.default_rng(42)
regions = ["北海道", "関東", "関西", "九州"]
months = pd.date_range("2024-01", periods=12, freq="MS").strftime("%m月").tolist()

rows = []
for region in regions:
    base = rng.uniform(80, 150)
    seasonal = np.sin(np.linspace(0, 2 * np.pi, 12)) * rng.uniform(15, 40)
    sales = base + seasonal + rng.normal(0, 8, 12)
    for m, s in zip(months, sales):
        rows.append({"地域": region, "月": m, "売上": round(s, 1)})

df = pd.DataFrame(rows)
df["月番号"] = df["月"].str.replace("月", "").astype(int)
df = df.sort_values("月番号")

g = sns.FacetGrid(df, col="地域", col_wrap=2, height=3, aspect=1.4, sharey=True)
g.map_dataframe(sns.lineplot, x="月", y="売上", marker="o", color="#2563eb")
g.set_titles("{col_name}")
g.set_xlabels("月")
g.set_ylabels("売上（万円）")

for ax in g.axes.flat:
    ax.grid(axis="y", alpha=0.2)
    ax.tick_params(axis="x", rotation=45)

g.figure.suptitle("地域別 月次売上推移（ファセットグリッド）", y=1.02, fontsize=13)
g.tight_layout()

plt.show()