numpy.isnat#

numpy.isnat(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature]) = <ufunc 'isnat'>#

Test element-wise for NaT (not a time) and return result as a boolean array.

Parameters:

xarray_like

Input array with datetime or timedelta data type.

outndarray, 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.

wherearray_like, optional

This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

**kwargs

For other keyword-only arguments, see the ufunc docs.

Returns:

yndarray or bool

True where x is NaT, false otherwise. This is a scalar if x is a scalar.

See also

isnan, isinf, isneginf, isposinf, isfinite

Examples

Try it in your browser!

>>> import numpy as np
>>> np.isnat(np.datetime64("NaT", "D"))
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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