!python -c"import numpy; numpy.info(numpy.add)"

add(x1, x2[, out])

Add arguments element-wise.

Parameters

----------

x1, x2 : array_like

The arrays to be added. If ``x1.shape != x2.shape``, they must be

broadcastable to a common shape (which may be the shape of one or

the other).

Returns

-------

add : ndarray or scalar

The sum of `x1` and `x2`, element-wise. Returns a scalar if

both `x1` and `x2` are scalars.

Notes

-----

Equivalent to `x1` + `x2` in terms of array broadcasting.

Examples

--------

>>> np.add(1.0, 4.0)

5.0

>>> x1 = np.arange(9.0).reshape((3, 3))

>>> x2 = np.arange(3.0)

>>> np.add(x1, x2)

array([[ 0., 2., 4.],

[ 3., 5., 7.],

[ 6., 8., 10.]])