circmean¶

astropy.stats.
circmean
(data, axis=None, weights=None)[source]¶ Computes the circular mean angle of an array of circular data.
 Parameters
 datanumpy.ndarray or Quantity
Array of circular (directional) data, which is assumed to be in radians whenever
data
isnumpy.ndarray
. axisint, optional
Axis along which circular means are computed. The default is to compute the mean of the flattened array.
 weightsnumpy.ndarray, optional
In case of grouped data, the ith element of
weights
represents a weighting factor for each group such thatsum(weights, axis)
equals the number of observations. See [1], remark 1.4, page 22, for detailed explanation.
 Returns
 circmeannumpy.ndarray or Quantity
Circular mean.
References
 1
S. R. Jammalamadaka, A. SenGupta. “Topics in Circular Statistics”. Series on Multivariate Analysis, Vol. 5, 2001.
 2
C. Agostinelli, U. Lund. “Circular Statistics from ‘Topics in Circular Statistics (2001)’”. 2015. <https://cran.rproject.org/web/packages/CircStats/CircStats.pdf>
Examples
>>> import numpy as np >>> from astropy.stats import circmean >>> from astropy import units as u >>> data = np.array([51, 67, 40, 109, 31, 358])*u.deg >>> circmean(data) <Quantity 48.62718088722989 deg>