code: def wishart_pairwise_pvals(self, axis=0):
          
          if axis != 0:
              raise NotImplementedError("Pairwise comparison only implemented for colums")
          return WishartPairwiseSignificance.pvals(self, axis=axis)
docs: Return square symmetric matrix of pairwise column-comparison p-values.
  
          Square, symmetric matrix along *axis* of pairwise p-values for the
          null hypothesis that col[i] = col[j] for each pair of columns.
  
          *axis* (int): axis along which to perform comparison. Only columns (0)
          are implemented currently.