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- pandas arrays, scalars, and data types
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pandas.api.types.is_timedelta64_dtype#
- pandas.api.types.is_timedelta64_dtype(arr_or_dtype)[source]#
Check whether an array-like or dtype is of the timedelta64 dtype.
- 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 timedelta64 dtype.
Examples
>>>frompandas.core.dtypes.commonimportis_timedelta64_dtype>>>is_timedelta64_dtype(object)False>>>is_timedelta64_dtype(np.timedelta64)True>>>is_timedelta64_dtype([1,2,3])False>>>is_timedelta64_dtype(pd.Series([],dtype="timedelta64[ns]"))True>>>is_timedelta64_dtype('0 days')False
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