dpnp.proj¶

dpnp.proj = <DPNPUnaryFunc 'proj'>¶

Computes the complex projection of each element \(x_i\) for input array x.

Parameters:

x{dpnp.ndarray, usm_ndarray}

Input array, expected to have a complex floating-point 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 element-wise projection.

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])