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# scipy.stats.signaltonoise

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

  Calculates the signal-to-noise ratio, defined as the ratio between the mean and 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. Defaults to None???0 ddof : integer, optional, default 0 degrees of freedom correction for standard deviation
  Returns : | array containing the value of the ratio of the mean to the standard : deviation along axis, or 0, when the standard deviation is equal to 0 :

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