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I have a large dataset that looks something like this:

                    genus  R11P4_BS   R13P1_BS   R34P1_BS2  R34P3_BS2  R34P4_BS2
0             Abiotrophia  0.000000   3.214080   0.000000   0.002874   0.004310
1            Abyssicoccus  0.454829   0.013240   0.000000   0.000000   0.053738
2           Acaryochloris  8.715696  10.864986   5.097655   4.741577   0.571400
3      Acetilactobacillus  0.000000   0.147575   0.546956   0.062951   0.000000
4         Acetoanaerobium  1.947189  16.833632   6.661447  13.277388   8.145325

Would like to perform Kolmogorov-Smirnov test to know if its normally distributed based on the p-value. I would like to get p-value for each of the genus. Any help on how i can perform this with python?

Thank you so much

sumitra sivaprakasam
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  • See [Why is “Can someone help me?” not an actual question?](http://meta.stackoverflow.com/q/284236) – AlexK Apr 05 '23 at 06:58

0 Answers0