numpy.less_equal

numpy.less_equal(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'less_equal'>

Return the truth value of (x1 =< x2) element-wise.

Parameters:

x1, x2 : array_like

Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other).

out : ndarray, 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.

where : array_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:

out : bool or ndarray of bool

Array of bools, or a single bool if x1 and x2 are scalars.

See also

greater, less, greater_equal, equal, not_equal

Examples

>>> np.less_equal([4, 2, 1], [2, 2, 2])
array([False,  True,  True])