dpnp.negative

dpnp.negative(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Computes the numerical negative for each element x_i of input array x.

For full documentation refer to numpy.negative.

Parameters:

  • x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have numeric data type.

  • out ({None, dpnp.ndarray, usm_ndarray}, optional) -- Output array to populate. Array must have the correct shape and the expected data type. Default: None.

  • order ({"C", "F", "A", "K"}, optional) -- Memory layout of the newly output array, if parameter out is None. Default: "K".

Returns:

out -- An array containing the negative of x.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise NotImplementedError exception will be raised.

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.])