dpnp.positive

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

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

For full documentation refer to numpy.positive.

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 positive 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.negative

Return the numerical negative of each element of x.

dpnp.copysign

Change the sign of x1 to that of x2, element-wise.

Note

Equivalent to x.copy(), but only defined for types that support arithmetic.

Examples

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

The + operator can be used as a shorthand for positive on dpnp.ndarray.

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