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Chi Square Test of Independence in Python

On Ubuntu 10.04.4, using Python 2.6.5, NumPy, and SciPy, is it possible to perform a square independence check? In R this is achieved with the following:

 > row1 = c(91,90,51) > row2 = c(150,200,155) > row3 = c(109,198,172) > data.table = rbind(row1,row2,row3) > chisq.test(data.table)

How can I do this in Python?

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 from scipy.stats import chi2_contingency row1 = [91,90,51] row2 = [150,200,155] row3 = [109,198,172] data=[row1,row2,row3] print chi2_contingency(data)

Output:

 (25.085973274234959, 4.8346447416999636e-05, 4, array([[ 66.77631579, 93.10526316, 72.11842105], [ 145.35361842, 202.66447368, 156.98190789], [ 137.87006579, 192.23026316, 148.89967105]]))

R Output:

  Pearson Chi-squared test data: data.table X-squared = 25.086, df = 4, p-value = 4.835e-05
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Source: https://habr.com/ru/post/956625/

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