8000 Series.cummin raises ValueError when datetime64 Series contains NaT · Issue #8965 · pandas-dev/pandas · GitHub
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Series.cummin raises ValueError when datetime64 Series contains NaT #8965
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Series.cummin raises ValueError when datetime64 Series contains NaT#8965
#8966
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BugDatetimeDatetime data dtypeMissing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolateTimedeltaTimedelta data type
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0.15.2
@unutbu

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@unutbu
unutbu
opened on Dec 2, 2014

Ref: http://stackoverflow.com/q/27240365/190597

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
  • validate for cummax & timedelta64[ns]

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    BugDatetimeDatetime data dtypeMissing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolateTimedeltaTimedelta data type

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