-
-
Notifications
You must be signed in to change notification settings - Fork 18.7k
Closed
Labels
API DesignCompatpandas objects compatability with Numpy or Python functionspandas objects compatability with Numpy or Python functionsPeriodPeriod data typePeriod data type
Milestone
Description
Currently, Index.unique
returns ndarray
but DatetimeIndex.unique
returns DatetimeIndex
to preserve datetime information. I think PeriodIndex.unique
should also return PeriodIndex
(currently it returns ndarray
).
I'd like to ask which is better to fix all Index.unique
to return Index
for consistency, or only fix PeriodIndex
.
didx = pd.DatetimeIndex([datetime.datetime(2014, 1, 1), datetime.datetime(2014, 2, 1)])
didx.unique()
# <class 'pandas.tseries.index.DatetimeIndex'>
# [2014-01-01, 2014-02-01]
pidx = pd.PeriodIndex(['2014-01', '2014-02'], freq='M')
pidx.unique()
# [528 529]
type(pidx.unique())
# <type 'numpy.ndarray'>
Metadata
Metadata
Assignees
Labels
API DesignCompatpandas objects compatability with Numpy or Python functionspandas objects compatability with Numpy or Python functionsPeriodPeriod data typePeriod data type