code: def _pairwise_chisq(self):
          
          return self._chi_squared(self._proportions, self._margin, self._observed)
docs: Pairwise comparisons (Chi-Square) along axis, as numpy.ndarray.
  
          Returns a square, symmetric matrix of test statistics for the null
          hypothesis that each vector along *axis* is equal to each other.