# scipy.stats.circstd¶

scipy.stats.circstd(samples, high=6.283185307179586, low=0, axis=None)[source]

Compute the circular standard deviation for samples assumed to be in the range [low to high].

Parameters
samplesarray_like

Input array.

lowfloat or int, optional

Low boundary for circular standard deviation range. Default is 0.

highfloat or int, optional

High boundary for circular standard deviation range. Default is 2*pi.

axisint, optional

Axis along which standard deviations are computed. The default is to compute the standard deviation of the flattened array.

Returns
circstdfloat

Circular standard deviation.

Notes

This uses a definition of circular standard deviation that in the limit of small angles returns a number close to the ‘linear’ standard deviation.

Examples

>>> from scipy.stats import circstd
>>> circstd([0, 0.1*np.pi/2, 0.001*np.pi, 0.03*np.pi/2])
0.063564063306


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