root mean square in numpy and complications of matrix and arrays of numpy

Question

Can anyone direct me to the section of numpy manual where i can get functions to accomplish root mean square calculations ... (i know this can be accomplished using np.mean and

Answer 1

I use this for RMS, all using NumPy, and let it also have an optional axis similar to other NumPy functions:

import numpy as np   
rms = lambda V, axis=None: np.sqrt(np.mean(np.square(V), axis))