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 havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.
- wherearray_like, optional
This condition is broadcast over the input. At locations where thecondition is True, theout array will be set to the ufunc result.Elsewhere, theout array will retain its original value.Note that if an uninitializedout array is created via the default
out=None, locations within it where the condition is False willremain uninitialized.- **kwargs
For other keyword-only arguments, see theufunc docs.
- Returns:
- yndarray or bool
True where
xis NaT, false otherwise.This is a scalar ifx is a scalar.
Examples
>>>importnumpyasnp>>>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])