xarray.ufuncs.logical_xor¶
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xarray.ufuncs.
logical_xor
= <xarray.ufuncs._UFuncDispatcher object>¶ xarray specific variant of numpy.logical_xor. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
Documentation from numpy:
logical_xor(x1, x2[, out])
Compute the truth value of x1 XOR x2, element-wise.
Parameters: x1, x2 : array_like
Logical XOR is applied to the elements of x1 and x2. They must be broadcastable to the same shape.
Returns: y : bool or ndarray of bool
Boolean result of the logical XOR operation applied to the elements of x1 and x2; the shape is determined by whether or not broadcasting of one or both arrays was required.
See also
logical_and
,logical_or
,logical_not
,bitwise_xor
Examples
>>> np.logical_xor(True, False) True >>> np.logical_xor([True, True, False, False], [True, False, True, False]) array([False, True, True, False], dtype=bool)
>>> x = np.arange(5) >>> np.logical_xor(x < 1, x > 3) array([ True, False, False, False, True], dtype=bool)
Simple example showing support of broadcasting
>>> np.logical_xor(0, np.eye(2)) array([[ True, False], [False, True]], dtype=bool)