Python mann kendall test

# credit to the post in the source link
# create dataset
data = [31, 29, 28, 28, 27, 26, 26, 27, 27, 27, 28, 29, 30, 29, 30, 29, 28]

# perform Mann-Kendall Trend Test
import pymannkendall as mk
mk.original_test(data)
>>> Mann_Kendall_Test(trend='no trend', h=False, p=0.422586268671707,
                      z=0.80194241623, Tau=0.147058823529, s=20.0,
                      var_s=561.33333333, slope=0.0384615384615, intercept=27.692307692)

# trend: increasing, decreasing, or no trend.
# h: True if trend is present. False if no trend is present.
# p: The p-value of the test. The lower the better
##### Mann - Kendall parameters
# z: The normalize test statistic.
# Tau: Kendall Tau.
# s: Mann-Kendal’s score
# var_s: Variance S
# slope: Theil-Sen estimator/slope
# intercept: Intercept of Kendall-Theil Robust Line

Source: statology.org

Similar codes

7 votes382 views3 answers
List of list to numpy array
Python
0 vote336 views1 answer
Python from string to bytes to hex
Python
0 vote297 views1 answer
Jupyter_ascending
Python
0 vote308 views1 answer
Print pattern a shape in python
Python
0 vote312 views1 answer
Snapchat api in python
Python
4 votes306 views2 answers
Python sort dictionary alphabetically by key
Python
1 vote311 views1 answer
Make csv lowercase python
Python
0 vote323 views1 answer
Ssl server python
Python
0 vote293 views1 answer
Récupérer l'extension d'un fichier en python
Python
1 vote347 views1 answer
Python define an array with length
Python