scipy.stats.circstd#
- scipy.stats.circstd(samples, high=6.283185307179586, low=0, axis=None, nan_policy='propagate')[source]#
Compute the circular standard deviation for samples assumed to be in the range [low to high].
- Parameters
- samplesarray_like
Input array.
- highfloat or int, optional
High boundary for circular standard deviation range. Default is
2*pi.- lowfloat or int, optional
Low boundary for circular standard deviation range. Default is 0.
- axisint, optional
Axis along which standard deviations are computed. The default is to compute the standard deviation of the flattened array.
- 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
- 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