The Mann-Kendall Trend Test is used to analyze time series data for consistently increasing or decreasing trends.

See Examples

Three datasets are used for the demonstrating to use of this package.

https://github.com/mmhs013/pyMannKendall/blob/master/Examples/Example_pyMannKendall.ipynb

1. If your data is in excel you can do the Mann-kendall test directly.

https://www.real-statistics.com/time-series-analysis/time-series-miscellaneous/mann-kendall-test/

2. If you want to use python, then you have few options,

you can use python library pymannkendall for your task,

https://pypi.org/project/pymannkendall/

3. Or mkt module,

https://up-rs-esp.github.io/mkt/

Check this for code explanation,

https://up-rs-esp.github.io/mkt/_modules/mkt.html

4. But if you want to do it from scratch, check this peace of code.

https://github.com/mps9506/Mann-Kendall-Trend/blob/master/mk_test.py

Indrani Sarker By the way which plants are using for your experiments and how are you getting your data?

Thank you

@Abid Hussain actually it's my varsity project .My supervisor gave me the data...

you can use An Excel template MAKESENS (Mann-Kendall test for trend and Sen's slope estimates) in the following download link

http://mathcs.holycross.edu/~little/Montserrat/MAKESENS.xls

For Python see with this link

https://pypi.org/project/pymannkendall/

or

Article pyMannKendall: a python package for non parametric Mann Kend...

You can use pyMannKendall package.

https://github.com/mmhs013/pyMannKendall

Article pyMannKendall: a python package for non parametric Mann Kend...