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 don't know why it's not built in. I like

def rms(x, axis=None):
    return sqrt(mean(x**2, axis=axis))

If you have nans in your data, you can do

def nanrms(x, axis=None):
    return sqrt(nanmean(x**2, axis=axis))