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, 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 element-wise projection.
- 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])