#### Previous topic

numpy.imag

#### Next topic

numpy.convolve

# numpy.conj

`numpy.``conj`(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'conjugate'>

  Return the complex conjugate, element-wise.

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

  Parameters: | 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 Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see the ufunc docs.
  Returns: | y : ndarray The complex conjugate of x, with same dtype as y.

  Examples

      >>> 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]])