ピーク検出

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import japanize_matplotlib
import matplotlib.pyplot as plt
import os
import pandas as pd
import seaborn as sns
from full_fred.fred import Fred

# FRED_API_KEY = os.getenv('FRED_API_KEY')
fred = Fred()
print(f"FRED APIキーが環境変数に設定されている：{fred.env_api_key_found()}")

def get_fred_data(name, start="2013-01-01", end=""):
    df = fred.get_series_df(name)[["date", "value"]].copy()
    df["date"] = pd.to_datetime(df["date"])
    df["value"] = pd.to_numeric(df["value"], errors="coerce")
    df = df.set_index("date")

    if end == "":
        df = df.loc[f"{start}":]
    else:
        df = df.loc[f"{start}":f"{end}"]

    return df

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df_BAMLH0A0HYM2 = get_fred_data("BAMLH0A0HYM2", start="2017-01-01")
df_BAMLH0A0HYM2.head(5)

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df_SP500 = get_fred_data("SP500", start="2017-01-01")
df_SP500.head(5)

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sns.set(rc={"figure.figsize": (15, 8)})
japanize_matplotlib.japanize()

fig = plt.figure()
ax1 = fig.add_subplot(111)
sns.lineplot(data=df_BAMLH0A0HYM2, x="date", y="value", label="ハイイールド債スプレッド", color="b")
plt.legend(loc="lower right", fontsize="20")

ax2 = ax1.twinx()
sns.lineplot(data=df_SP500, x="date", y="value", label="S&P 500", color="r")
plt.legend(loc="upper left", fontsize="20")

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import numpy as np
from scipy.signal import find_peaks

data = df_BAMLH0A0HYM2["value"]
peaks, _ = find_peaks(data, distance=30, threshold=0.03, width=3)
plt.plot(data)
plt.plot(data.iloc[peaks].index, data.iloc[peaks], "o", markersize=10)
plt.show()

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sns.set(rc={"figure.figsize": (15, 8)})
japanize_matplotlib.japanize()
sns.lineplot(data=df_SP500, x="date", y="value", label="S&P 500", color="r")
for peak_date in data.iloc[peaks].index:
    plt.axvline(peak_date, alpha=0.5, linewidth=0.75, color="k")
    plt.text(
        peak_date + pd.DateOffset(5),
        3300,
        f'{peak_date.strftime("%Y/%m/%d")}',
        rotation=90,
    )
plt.legend(loc="upper left", fontsize="20")