pandas.api.types.is_datetime64_any_dtype
- pandas.api.types.is_datetime64_any_dtype(arr_or_dtype)[source]
-
Check whether the provided array or dtype is of the datetime64 dtype.
- Parameters
-
- arr_or_dtype:array-like
-
The array or dtype to check.
- Returns
-
- bool
-
Whether or not the array or dtype is of the datetime64 dtype.
Examples
>>> is_datetime64_any_dtype(str) False >>> is_datetime64_any_dtype(int) False >>> is_datetime64_any_dtype(np.datetime64) # can be tz-naive True >>> is_datetime64_any_dtype(DatetimeTZDtype("ns", "US/Eastern")) True >>> is_datetime64_any_dtype(np.array(['a', 'b'])) False >>> is_datetime64_any_dtype(np.array([1, 2])) False >>> is_datetime64_any_dtype(np.array([], dtype="datetime64[ns]")) True >>> is_datetime64_any_dtype(pd.DatetimeIndex([1, 2, 3], dtype="datetime64[ns]")) True
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.api.types.is_datetime64_any_dtype.html