Series.cummin raises ValueError when datetime64 Series contains NaT · Issue #8965 · pandas-dev/pandas (original) (raw)

s = pd.Series(pd.date_range('2008-09-15', periods=10, freq='m'))
s.loc[10] = pd.NaT
s.cummin()

ValueError: Could not convert object to NumPy datetime