numpy.isnat¶
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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 None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
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.
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.
Examples
>>> 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])