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Series.cummin raises ValueError when datetime64 Series contains NaT #8965

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unutbu opened this issue Dec 2, 2014 · 0 comments · Fixed by #8966
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Series.cummin raises ValueError when datetime64 Series contains NaT #8965

unutbu opened this issue Dec 2, 2014 · 0 comments · Fixed by #8966
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Bug Datetime Datetime data dtype Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Timedelta Timedelta data type
Milestone
0.15.2

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unutbu commented 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]
@jreback jreback added Bug Datetime Datetime data dtype Timedelta Timedelta data type Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate labels Dec 2, 2014
@jreback jreback added this to the 0.16.0 milestone Dec 2, 2014
@unutbu unutbu mentioned this issue Dec 2, 2014
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@jreback jreback modified the milestones: 0.15.2, 0.16.0 Dec 2, 2014
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Bug Datetime Datetime data dtype Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Timedelta Timedelta data type
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BUG: ValueError raised by cummin/cummax when datetime64 Series contains NaT. unutbu/pandas
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