TypeError: Invalid comparison between dtype=datetime64[ns, America/New_York] and datetime

[XJTLUmedia]

It seems what happened to yfinance happened to quantstats too If I running following code to obtain end_date and start_date in yfinance, I will got

def get_date_diff_days(start_date_str, minus_days):
    start_date = datetime.datetime.strptime(start_date_str, "%Y-%m-%d")
    timedelta = datetime.timedelta(days=minus_days)
    end_date = start_date - timedelta
    end_date_str = end_date.strftime("%Y-%m-%d")
    return end_date_str

this error comes from report.py pandas.core.arrays.datetimelike.InvalidComparison: 2023-04-01 00:00:00

    today = df.index[-1]  # _dt.today()
    metrics['MTD %'] = comp_func(df[df.index >= _dt(today.year, today.month, 1)]) * pct

    d = today - relativedelta(months=3)
    metrics['3M %'] = comp_func(df[df.index >= d]) * pct

    d = today - relativedelta(months=6)
    metrics['6M %'] = comp_func(df[df.index >= d]) * pct

    metrics['YTD %'] = comp_func(df[df.index >= _dt(today.year, 1, 1)]) * pct

    d = today - relativedelta(years=1)
    metrics['1Y %'] = comp_func(df[df.index >= d]) * pct

    d = today - relativedelta(months=35)
    metrics['3Y (ann.) %'] = _stats.cagr(df[df.index >= d], 0., compounded) * pct

    d = today - relativedelta(months=59)
    metrics['5Y (ann.) %'] = _stats.cagr(df[df.index >= d], 0., compounded) * pct

    d = today - relativedelta(years=10)
    metrics['10Y (ann.) %'] = _stats.cagr(df[df.index >= d], 0., compounded) * pct

this part

[jlk-issachar-ai]

Did you ever solve this? I see the error also