pandas.api.types.is_datetime64tz_dtype#

pandas.api.types.is_datetime64tz_dtype(arr_or_dtype)[source]#

Check whether an array-like or dtype is of a DatetimeTZDtype dtype.

Deprecated since version 2.1.0:Use isinstance(dtype, pd.DatetimeTZDtype) 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 a DatetimeTZDtype dtype.

Examples

>>>frompandas.api.typesimportis_datetime64tz_dtype>>>is_datetime64tz_dtype(object)False>>>is_datetime64tz_dtype([1,2,3])False>>>is_datetime64tz_dtype(pd.DatetimeIndex([1,2,3]))# tz-naiveFalse>>>is_datetime64tz_dtype(pd.DatetimeIndex([1,2,3],tz="US/Eastern"))True

>>>frompandas.core.dtypes.dtypesimportDatetimeTZDtype>>>dtype=DatetimeTZDtype("ns",tz="US/Eastern")>>>s=pd.Series([],dtype=dtype)>>>is_datetime64tz_dtype(dtype)True>>>is_datetime64tz_dtype(s)True