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# numpy.add

`numpy.``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 : | y : 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.]])

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