, x2, ddof=0, axis=0)[source]

variance of error


x1, x2 : array_like

The performance measure depends on the difference between these two arrays.

axis : int

axis along which the summary statistic is calculated


vare : ndarray or float

variance of difference along given axis.


If x1 and x2 have different shapes, then they need to broadcast. This uses numpy.asanyarray to convert the input. Whether this is the desired result or not depends on the array subclass.