networkx

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import networkx as nx
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from matplotlib import pyplot as plt
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g = nx.Graph()
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g.add_node(1)
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list(g.nodes())
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g.add_nodes_from([3, 4])
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print(g.nodes)
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nx.draw(g)
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nx.draw(g, with_labels=True)
51 collapsed lines
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plt.show()
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g.add_node('coin')
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g.add_edge(1, 2)
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e = (2, 3)
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g.add_edge(*e)
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g.add_edges_from([(1, 3), (1, 4), (1, 5)])
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G.remove_node(2)
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G.remove_nodes_from([4, 5, H, 'coin'])
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print("les sommets de G sont : ", G.nodes)
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edgelist = [(0, 1), (1, 2), (2, 3)]
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I = nx.Graph(edgelist)
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edgelist1 = [(0, 1), (0, 2), (0, 3)]
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edgelist2 = [(0, 4), (0, 5), (0, 6)]
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G1 = nx.Graph(edgelist1)
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G2 = nx.Graph(edgelist2)
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H1 = nx.disjoint_union(G1, G2) # make two graph in the same one
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H2 = nx.compose(G1, G2) # make the same considering the node id
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g = nx.petersen_graph() # a special graph
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nx.draw_shell(g, nlist=[range(5, 10), range(5)]) # make 0, 1, 2, 3, 4 in a shell
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options = {
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    'node_color': 'yellow',
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    'node_size': 500,
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    'width': 2,
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    'with_labels': True
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}
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nx.draw_random(G, **options)
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plt.show()
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nx.draw_circular(G, **options)
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plt.show()
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nx.draw_shell(G, nlist=[range(5, 10), range(5)], **options)
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plt.show()
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nx.draw(G)
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plt.savefig("graph.png")
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G2= nx.DiGraph ()
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G2.add_edges_from([(0, 1),(1,0), (0, 2), (0, 3)])
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nx.draw_random(G2, with_labels=True, font_weight='bold')
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plt.show()

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G=nx.Graph()
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G.add_edges_from([[1,2],[2,3],[3,1]])
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position={1:[0,2],2:[2,0],3:[0,0]} #dictionnaire où on précise les coordonnées de chacun des sommets
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nx.draw(G,pos=position)