scipy.stats.circmean#
- scipy.stats.circmean(samples, high=6.283185307179586, low=0, axis=None, nan_policy='propagate')[source]#
Compute the circular mean for samples in a range.
- Parameters
- samplesarray_like
Input array.
- highfloat or int, optional
High boundary for the sample range. Default is
2*pi.- lowfloat or int, optional
Low boundary for the sample range. Default is 0.
- axisint, optional
Axis along which means are computed. The default is to compute the mean 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
- circmeanfloat
Circular mean.
Examples
>>> from scipy.stats import circmean >>> circmean([0.1, 2*np.pi+0.2, 6*np.pi+0.3]) 0.2
>>> from scipy.stats import circmean >>> circmean([0.2, 1.4, 2.6], high = 1, low = 0) 0.4