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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 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. """

        return [slice_.wishart_pairwise_pvals(axis=axis) for slice_ in self.slices]