scipy.stats.mstats.variation

scipy.stats.mstats.variation(a, axis=0)

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

Parameters

aarray_like

Input array.

axisint or None, optional

Axis along which to calculate the coefficient of variation. Default is 0. If None, compute over the whole array a.

Returns

variationndarray

The calculated variation along the requested axis.

Notes

For more details about variation, see stats.variation.

Examples

>>> from scipy.stats.mstats import variation
>>> a = np.array([2,8,4])
>>> variation(a)
0.5345224838248487
>>> b = np.array([2,8,3,4])
>>> c = np.ma.masked_array(b, mask=[0,0,1,0])
>>> variation(c)
0.5345224838248487

In the example above, it can be seen that this works the same as stats.variation except ‘stats.mstats.variation’ ignores masked array elements.