Figure basic knowledge code

import networkx as nx
edges=pd.DataFrame()
edges['sources']=[1,1,1,2,2,3,3,4,4,5,5,5]
edges['targets']=[2,4,5,3,1,2,5,1,5,1,3,4]
edges['weights']=[1,1,1,1,1,1,1,1,1,1,1,1]
G=nx.from_pandas_edgelist(edges,source='sources',target='targets',edge_attr='weights')
#degree
print(nx.degree(G))
# Centrality 
print(nx.degree_centrality(G))
# Figure radius 
print(nx.diameter(G))
# Centrality of eigenvectors 
print(' Centrality of eigenvectors :')
print(nx.eigenvector_centrality(G))
#betweenes
print("betweenes:")
print(nx.betweenness_centrality(G))
#closeness
print("closeness:")
print(nx.closeness_centrality(G))
#Pagerank
print('Pagerank')
print(nx.pagerank(G))
#HITS
print("hits")
print(nx.hits(G))