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.Period) 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