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.
scipy.stats.mstats.hmean
scipy.stats.mstats.kendalltau_seasonal
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