pandas.api.types.is_period_dtype#
- pandas.api.types.is_period_dtype(arr_or_dtype)[source]#
Check whether an array-like or dtype is of the Period dtype.
Deprecated since version 2.2.0: Use isinstance(dtype, pd.PeriodDtype) instead.
- Parameters:
- arr_or_dtypearray-like or dtype
The array-like or dtype to check.
- Returns:
- boolean
Whether or not the array-like or dtype is of the Period dtype.
See also
api.types.is_timedelta64_ns_dtype
Check whether the provided array or dtype is of the timedelta64[ns] dtype.
api.types.is_timedelta64_dtype
Check whether an array-like or dtype is of the timedelta64 dtype.
Examples
>>> from pandas.core.dtypes.common import is_period_dtype >>> is_period_dtype(object) False >>> is_period_dtype(pd.PeriodDtype(freq="D")) True >>> is_period_dtype([1, 2, 3]) False >>> is_period_dtype(pd.Period("2017-01-01")) False >>> is_period_dtype(pd.PeriodIndex([], freq="Y")) True