xarray.ufuncs.logical_and = <xarray.ufuncs._UFuncDispatcher object>

xarray specific variant of numpy.logical_and. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.

Documentation from numpy:

logical_and(x1, x2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])

Compute the truth value of x1 AND x2 element-wise.

x1, x2array_like

Input arrays. x1 and x2 must be of the same shape.

outndarray, 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.

wherearray_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.


For other keyword-only arguments, see the ufunc docs.

yndarray or bool

Boolean result with the same shape as x1 and x2 of the logical AND operation on corresponding elements of x1 and x2. This is a scalar if both x1 and x2 are scalars.

See also

logical_or, logical_not, logical_xor, bitwise_and


>>> np.logical_and(True, False)
>>> np.logical_and([True, False], [False, False])
array([False, False])
>>> x = np.arange(5)
>>> np.logical_and(x>1, x<4)
array([False, False,  True,  True, False])