What is the correct way of passing parameters to stats.friedmanchisquare based on a DataFrame?
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Chapters
00:00 What Is The Correct Way Of Passing Parameters To Stats.Friedmanchisquare Based On A Dataframe?
02:18 Answer 1 Score 2
02:43 Accepted Answer Score 1
02:54 Thank you
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Full question
https://stackoverflow.com/questions/3119...
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Tags
#python #numpy #pandas #scipy
#avk47
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and get $2,000 discount on your first invoice
--------------------------------------------------
Music by Eric Matyas
https://www.soundimage.org
Track title: Puzzling Curiosities
--
Chapters
00:00 What Is The Correct Way Of Passing Parameters To Stats.Friedmanchisquare Based On A Dataframe?
02:18 Answer 1 Score 2
02:43 Accepted Answer Score 1
02:54 Thank you
--
Full question
https://stackoverflow.com/questions/3119...
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #numpy #pandas #scipy
#avk47
ANSWER 1
Score 2
The problem I see with your first attempt is that you end up passing one list with multiple dataframes inside of it.
The stats.friedmanchisquare needs multiple array_like arguments, not one list
Try using the * (star/unpack) operator to unpack the list
Like this
df = df.as_matrix()
print stats.friedmanchisquare(*[df[x, :] for x in np.arange(df.shape[0])])
ACCEPTED ANSWER
Score 1
You could pass it using the "star operator", similarly to this:
a = np.array([[1, 2, 3], [2, 3, 4] ,[4, 5, 6]])
friedmanchisquare(*(a[i, :] for i in range(a.shape[0])))