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

Parameters

x1, x2 : array_like

Input arrays. If x1.shape != x2.shape , they must be broadcastable to a common shape (which becomes the shape of the output).

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

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.

**kwargs :

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

out : ndarray or scalar

Output array, element-wise comparison of x1 and :None:None:`x2`. Typically of type bool, unless dtype=object is passed. This is a scalar if both x1 and :None:None:`x2` are scalars.

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

See Also

equal

greater

greater_equal

less_equal

not_equal

Examples

This example is valid syntax, but we were not able to check execution

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

The < operator can be used as a shorthand for np.less on ndarrays.

This example is valid syntax, but we were not able to check execution

>>> a = np.array([1, 2])
... b = np.array([2, 2])
... a < b
array([ True, False])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.equal numpy.ma.core.greater_equal numpy.ma.core.not_equal numpy.ma.core.less_equal numpy.ma.core.greater

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