xorbits.numpy.conjugate#

xorbits.numpy.conjugate(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])#

Return the complex conjugate, element-wise.

The complex conjugate of a complex number is obtained by changing the sign of its imaginary part.

参数

  • x (array_like) – Input value.

  • out (ndarray, None, or tuple of ndarray and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

  • where (array_like, optional) – This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

  • **kwargs – For other keyword-only arguments, see the ufunc docs.

返回

y – The complex conjugate of x, with same dtype as y. This is a scalar if x is a scalar.

返回类型

ndarray

提示

conj is an alias for conjugate:

>>> np.conj is np.conjugate  
True

实际案例

>>> np.conjugate(1+2j)  
(1-2j)

>>> x = np.eye(2) + 1j * np.eye(2)  
>>> np.conjugate(x)  
array([[ 1.-1.j,  0.-0.j],
       [ 0.-0.j,  1.-1.j]])

This docstring was copied from numpy.