Computes Kendall’s rank correlation tau on two variables x and y.
xdata: sequence :
First data list (for example, time).
ydata: sequence :
Second data list.
use_ties: {True, False} optional :
Whether ties correction should be performed.
use_missing: {False, True} optional :
Whether missing data should be allocated a rank of 0 (False) or the average rank (True)
tau : float
Kendall tau prob : float Approximate 2-side p-value.
Kendall tau
Approximate 2-side p-value.
scipy.stats.mstats.hmean
scipy.stats.mstats.kendalltau_seasonal