sum¶
- mipylib.numeric.minum.sum(x, axis=None)¶
Sum of array elements over a given axis.
- Parameters
x – (array_like or list) Input values.
axis – (int) Axis along which the standard deviation is computed. The default is to compute the standard deviation of the flattened array.
returns: (array_like) Sum result
Examples
>>> a = array([[0, 1], [0, 5]]) >>> sum(a) 6.0 >>> sum(a, axis=0) array([0.0, 6.0]) >>> sum(a, axis=1) array([1.0, 5.0])