logical_or(*args, **kwargs) = <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:
logical_or(x1, x2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
Compute the truth value of x1 OR x2 element-wise.
x2 (x1,) – 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).
out=None, locations within it where the condition is False will remain uninitialized.
**kwargs – For other keyword-only arguments, see the ufunc docs.
y – Boolean result of the logical OR operation applied to the elements of x1 and x2; the shape is determined by broadcasting. This is a scalar if both x1 and x2 are scalars.
- Return type
ndarray or bool
>>> 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])