scipy.stats.variation¶

scipy.stats.variation(a, axis=0, nan_policy='propagate')[source]¶

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

Parameters:

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.

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

[R709]

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

Examples

>>> from scipy.stats import variation
>>> variation([1, 2, 3, 4, 5])
0.47140452079103173

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