xarray.ufuncs.logical_not¶
-
xarray.ufuncs.
logical_not
= <xarray.ufuncs._UFuncDispatcher object>¶ xarray specific variant of numpy.logical_not. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
Documentation from numpy:
logical_not(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
Compute the truth value of NOT x element-wise.
Parameters: x : array_like
Logical NOT is applied to the elements of x.
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 : bool or ndarray of bool
Boolean result with the same shape as x of the NOT operation on elements of x.
See also
Examples
>>> np.logical_not(3) False >>> np.logical_not([True, False, 0, 1]) array([False, True, True, False], dtype=bool)
>>> x = np.arange(5) >>> np.logical_not(x<3) array([False, False, False, True, True], dtype=bool)