dpnp.negative

dpnp.negative(x, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)[source]

Numerical negative, element-wise.

For full documentation refer to numpy.negative.

Returns:: out – The numerical negative of each element of x.
Return type:: dpnp.ndarray

Limitations

Parameters x is only supported as either dpnp.ndarray or dpctl.tensor.usm_ndarray. Parameters where, dtype and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

See also

dpnp.positive: Return the numerical positive of each element of x.
dpnp.copysign: Change the sign of x1 to that of x2, element-wise.

Examples

>>> import dpnp as np
>>> np.negative(np.array([1, -1]))
array([-1, 1])

The - operator can be used as a shorthand for negative on dpnp.ndarray.

>>> x = np.array([1., -1.])
>>> -x
array([-1.,  1.])