如何使用networkx和matplotlib繪制重量標簽？

Question

我正在研究圖，所以我試圖使用networkx和matplotlib在python中給定字典繪制圖，這是我的代碼：

import networkx as nx
import matplotlib.pyplot as plt
G = nx.Graph()
graph = {
    "A":["B","C"],
    "B":["D","E"],
    "C":["E","F"],
    "D":["B","G"],
    "E":["B","C"],
    "F":["C","G"],
    "G":["D","F"]
}
x=10
for vertex, edges in graph.items():
    G.add_node("%s" % vertex)
    x+=2
    for edge in edges:
        G.add_node("%s" % edge)
        G.add_edge("%s" % vertex, "%s" % edge, weight = x)
        print("'%s' it connects with '%s'" % (vertex,edge))
nx.draw(G,with_labels=True)

plt.show()

我已經嘗試過函數draw_networkx_edge_labels，但是由於我動態添加節點，因此我似乎需要一個我沒有的位置，因此我需要一種方法來繪制適合當前實現的邊緣標簽。

Answer 1

添加完所有節點后即可繪制圖形，以便可以計算位置並根據它們使用nx.draw_networkx_edge_labels(...) ：

import networkx as nx
import matplotlib.pyplot as plt
G = nx.Graph()
graph = {
    "A":["B","C"],
    "B":["D","E"],
    "C":["E","F"],
    "D":["B","G"],
    "E":["B","C"],
    "F":["C","G"],
    "G":["D","F"]
}
x=10
for vertex, edges in graph.items():
    G.add_node("%s" % vertex)
    x+=2
    for edge in edges:
        G.add_node("%s" % edge)
        G.add_edge("%s" % vertex, "%s" % edge, weight = x)
        print("'%s' it connects with '%s'" % (vertex,edge))
# ---- END OF UNCHANGED CODE ----

# Create positions of all nodes and save them
pos = nx.spring_layout(G)

# Draw the graph according to node positions
nx.draw(G, pos, with_labels=True)

# Create edge labels
labels = {e: str(e) for e in G.edges}

# Draw edge labels according to node positions
nx.draw_networkx_edge_labels(G, pos, edge_labels=labels)

plt.show()