カントリーリスクプレミアムを可視化する

import pandas as pd
import matplotlib.pyplot as plt
from pathlib import Path

plt.style.use("scripts/k_dm.mplstyle")

data = pd.DataFrame(
    {
        "country": ["Japan", "United States", "Brazil", "India", "South Africa", "Turkey", "Mexico"],
        "risk_premium": [0.012, 0.018, 0.038, 0.031, 0.042, 0.055, 0.029],
    }
)

data = data.sort_values("risk_premium")
fig, ax = plt.subplots(figsize=(8, 4.8))
bars = ax.bar(data["country"], data["risk_premium"] * 100, color="#3b82f6")

average = data["risk_premium"].mean() * 100
ax.axhline(average, color="#ef4444", linestyle="--", linewidth=1.2, label=f"平均 {average:.1f}%")

for bar, value in zip(bars, data["risk_premium"]):
    ax.text(
        bar.get_x() + bar.get_width() / 2,
        value * 100 + 0.6,
        f"{value*100:.1f}%",
        ha="center",
        fontsize=10,
    )

ax.set_ylabel("リスクプレミアム（%）")
ax.set_title("主要国のリスクプレミアム比較（サンプルデータ）")
ax.set_ylim(0, 6.5)
ax.grid(axis="y", alpha=0.3)
ax.legend(loc="upper left")

output = Path("static/images/finance/visualize/country_risk_premium.svg")
output.parent.mkdir(parents=True, exist_ok=True)
fig.tight_layout()
fig.savefig(output)