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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def wishart_pairwise_pvals(self, axis=0):
 """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. """

        if axis != 0:
            raise NotImplementedError("Pairwise comparison only implemented for colums")
        return WishartPairwiseSignificance.pvals(self, axis=axis)