less_equal(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Some inconsistencies with the Dask version may exist.
Return the truth value of (x1 <= x2) element-wise.
Input arrays. If x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).
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.
This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out`
array will be set to the ufunc result. Elsewhere, the :None:None:`out`
array will retain its original value. Note that if an uninitialized :None:None:`out`
array is created via the default out=None
, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
Output array, element-wise comparison of :None:None:`x1`
and :None:None:`x2`
. Typically of type bool, unless dtype=object
is passed. This is a scalar if both :None:None:`x1`
and :None:None:`x2`
are scalars.
This docstring was copied from numpy.less_equal.
>>> np.less_equal([4, 2, 1], [2, 2, 2]) # doctest: +SKIP array([False, True, True])
The <=
operator can be used as a shorthand for np.less_equal
on ndarrays.
>>> a = np.array([4, 2, 1]) # doctest: +SKIPSee :
... b = np.array([2, 2, 2]) # doctest: +SKIP
... a <= b # doctest: +SKIP array([False, True, True])
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.ufunc.greater_equal
dask.array.ufunc.equal
dask.array.ufunc.greater
dask.array.ufunc.less
dask.array.ufunc.not_equal
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