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# scipy.stats.variation

`scipy.stats.``variation`(a, axis=0, nan_policy='propagate')

  Computes the coefficient of variation, the ratio of the biased standard deviation to the mean.

  Parameters: | a : array_like Input array. axis : int or None, optional Axis along which to calculate the coefficient of variation. Default is 0. If None, compute over the whole array a. nan_policy : {‘propagate’, ‘raise’, ‘omit’}, optional Defines how to handle when input contains nan. ‘propagate’ returns nan, ‘raise’ throws an error, ‘omit’ performs the calculations ignoring nan values. Default is ‘propagate’.
  Returns: | variation : ndarray The calculated variation along the requested axis.

  References

  [R647] | Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probability and Statistics Tables and Formulae. Chapman & Hall: New York. 2000.