G = nx.from_numpy_matrix(dist) mst = nx.minimum_spanning_tree(G) features = pd.Series features['mst_avg_shortest'] = nx.average_shortest_path_length(mst) closeness_centrality = (pd .Series(list(nx .closeness_centrality(mst) .values)) .describe) forstatincloseness_centrality.index[1:]: ...