/NumPy 1.17

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

#### Notes

`conj` is an alias for `conjugate`:

```>>> np.conj is np.conjugate
True
```

#### 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]])
```

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