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
- 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.
- 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
- variationndarray
The calculated variation along the requested axis.
References
- 1
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