-
-
Notifications
You must be signed in to change notification settings - Fork 18.7k
Closed
Labels
BugDtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversionsMissing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
Milestone
Description
Index and Series min
and max
handles nan
and NaT
differently. Even though min
and max
are defined in IndexOpsMixin
, Series
doesn't use them and use NDFrame
definitions.
pd.Index([np.nan, 1.0]).min()
# nan
pd.Index([np.nan, 1.0]).max()
# nan
pd.DatetimeIndex([pd.NaT, '2011-01-01']).min()
# NaT
pd.DatetimeIndex([pd.NaT, '2011-01-01']).max()
#2011-01-01 00:00:00
# Series excludes nan and NaT
pd.Series([np.nan, 1.0]).min()
#1.0
pd.Series([np.nan, 1.0]).max()
#1.0
pd.Series([pd.NaT, pd.Timestamp('2011-01-01')]).min()
#2011-01-01 00:00:00
pd.Series([pd.NaT, pd.Timestamp('2011-01-01')]).max()
#2011-01-01 00:00:00
Metadata
Metadata
Assignees
Labels
BugDtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversionsMissing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate