code: def wishart_pairwise_pvals(self, axis=0):
          
          return [slice_.wishart_pairwise_pvals(axis=axis) for slice_ in self.slices]
docs: Return matrices of column-comparison p-values as list of numpy.ndarrays.
  
          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.