dpnp.negative¶

dpnp.negative = <DPNPUnaryFunc 'negative'>¶

Computes the numerical negative of each element \(x_i\) (i.e., \(y_i = -x_i\)) of the input array x.

For full documentation refer to numpy.negative.

Parameters:

x{dpnp.ndarray, usm_ndarray}

Input array, expected to have a numeric data type.

out{None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional

Output array to populate. Array must have the correct shape and the expected data type. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

Default: None.

order{None, "C", "F", "A", "K"}, optional

Memory layout of the newly output array, if parameter out is None.

Default: "K".

Returns:

outdpnp.ndarray: An array containing the negative of x.

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.])