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scipy.stats.signaltonoise

scipy.stats.signaltonoise(a, axis=0, ddof=0)

The signal-to-noise ratio of the input data.

Returns the signal-to-noise ratio of a, here defined as the mean divided by the standard deviation.

Parameters :

a: array_like :

An array_like object containing the sample data.

axis: int or None, optional :

If axis is equal to None, the array is first ravel’d. If axis is an integer, this is the axis over which to operate. Default is 0.

ddof : int, optional

Degrees of freedom correction for standard deviation. Default is 0.

Returns :

s2n : ndarray

The mean to standard deviation ratio(s) along axis, or 0 where the standard deviation is 0.