logical_or= <xarray.ufuncs._UFuncDispatcher object>¶
xarray specific variant of numpy.logical_or. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
Documentation from numpy:
Compute the truth value of x1 OR x2 element-wise.
x1, x2 (array_like) – Logical OR is applied to the elements of x1 and x2. If
x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
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.
out=None, locations within it where the condition is False will remain uninitialized.
**kwargs – For other keyword-only arguments, see the ufunc docs.
>>> np.logical_or(True, False) True >>> np.logical_or([True, False], [False, False]) array([ True, False])
>>> x = np.arange(5) >>> np.logical_or(x < 1, x > 3) array([ True, False, False, False, True])
|operator can be used as a shorthand for
np.logical_oron boolean ndarrays.
>>> a = np.array([True, False]) >>> b = np.array([False, False]) >>> a | b array([ True, False])