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

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

Notes

conj is an alias for conjugate :

>>> np.conj is np.conjugate
True

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

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`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 <ufuncs.kwargs> .

Returns

y : ndarray

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

Return the complex conjugate, element-wise.

Examples

This example is valid syntax, but we were not able to check execution

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

This example is valid syntax, but we were not able to check execution

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

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.core.conjugate

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