numpy.isnat(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'isnat'>
Test element-wise for NaT (not a time) and return result as a boolean array.
Parameters: |
x : array_like Input array with datetime or timedelta data type. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs. |
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Returns: |
y : ndarray or bool For scalar input, the result is a new boolean with value True if the input is NaT; otherwise the value is False. For array input, the result is a boolean array of the same dimensions as the input and the values are True if the corresponding element of the input is NaT; otherwise the values are False. |
>>> np.isnat(np.datetime64("NaT")) True >>> np.isnat(np.datetime64("2016-01-01")) False >>> np.isnat(np.array(["NaT", "2016-01-01"], dtype="datetime64[ns]")) array([ True, False])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.isnat.html