code: def weight_statistics(self):
          
  
          all_weights = [d.get('weight', None) for u, v, d
                         in self.graph.edges(data=True)]
          stats = describe(all_weights, nan_policy='omit')
  
          return {
              'all_weights': all_weights,
              'min': stats.minmax[0],
              'max': stats.minmax[1],
              'mean': stats.mean,
              'variance': stats.variance
          }
docs: Extract a statistical summary of edge weights present in
          the graph.
  
          :return: A dict with an 'all_weights' list, 'minimum',
          'maximum', 'median', 'mean', 'std_dev'