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pandas.api.types.is_datetime64_ns_dtype

pandas.api.types.is_datetime64_ns_dtype(arr_or_dtype) [source]

Check whether the provided array or dtype is of the datetime64[ns] dtype.

Parameters:

arr_or_dtype : array-like

The array or dtype to check.

Returns:

boolean : Whether or not the array or dtype is of the datetime64[ns] dtype.

Examples

>>> is_datetime64_ns_dtype(str)
False
>>> is_datetime64_ns_dtype(int)
False
>>> is_datetime64_ns_dtype(np.datetime64)  # no unit
False
>>> is_datetime64_ns_dtype(DatetimeTZDtype("ns", "US/Eastern"))
True
>>> is_datetime64_ns_dtype(np.array(['a', 'b']))
False
>>> is_datetime64_ns_dtype(np.array([1, 2]))
False
>>> is_datetime64_ns_dtype(np.array([], dtype=np.datetime64))  # no unit
False
>>> is_datetime64_ns_dtype(np.array([],
                           dtype="datetime64[ps]"))  # wrong unit
False
>>> is_datetime64_ns_dtype(pd.DatetimeIndex([1, 2, 3],
                           dtype=np.datetime64))  # has 'ns' unit
True

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http://pandas.pydata.org/pandas-docs/version/0.20.2/generated/pandas.api.types.is_datetime64_ns_dtype.html