Calculate Signal to Noise ratio in python scipy ve

Question

I have looked around online and it seems that the signaltonoise ratio function inside the scipy.stats is deprecated and is not available in version 1.1. Is there any other equivalent method inside scipy package since I have not been able to find it online.

And if not scipy then is there any other library recommended for such calculations ?

Answer 1

As indicated in scipy issue #609 on github, the signaltonoise function

[...] is not useful except for backwards compatibility. The reason is that there's a Matlab signal-to-noise function http://www.mathworks.com/help/signal/ref/snr.html which means something different. This is not good, because scipy clones the Matlab interface of other signal-related functions, and this incompatibility apparently has no offsetting benefit.

If you do need this function for backward compatibility, the short implementation can be found in the history of scipy repository as (reproduced here without the documentation comments, license):

def signaltonoise(a, axis=0, ddof=0):
    a = np.asanyarray(a)
    m = a.mean(axis)
    sd = a.std(axis=axis, ddof=ddof)
    return np.where(sd == 0, 0, m/sd)