dpnp.proj

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

Computes projection of each element x_i for input array x.

Parameters:

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

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

  • 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 element-wise projection. The returned array has the same data type as 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.absolute

Returns the magnitude of a complex number, element-wise.

dpnp.conj

Return the complex conjugate, element-wise.

Examples

>>> import dpnp as np
>>> np.proj(np.array([1, -2.3, 2.1-1.7j]))
array([ 1. +0.j, -2.3+0.j,  2.1-1.7.j])

>>> np.proj(np.array([complex(1,np.inf), complex(1,-np.inf), complex(np.inf,-1),]))
array([inf+0.j, inf-0.j, inf-0.j])