xarray.ufuncs.logical_and¶
-
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.
- Parameters
- 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.
- **kwargs
For other keyword-only arguments, see the ufunc docs.
- Returns
- 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
Examples
>>> np.logical_and(True, False) 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])