我一直在嘗試顯示一個圖表，我希望我的邊緣寬度與它們的重量有些相關，這意味著當重量更小時很小，而當重量更大時則更大。它使所有邊緣的寬度完全相同。amizade 方法是一個回傳權重的方法。我已經匯入了 csv、networkx 和 mathplotlib.pyplot。到目前為止，這是我的代碼：
def nx_teste(graf, show_plot=False):
nx_g = nx.Graph()
for i in graf.edges():
# print(i)
# print(i._pessoa_1)
# print(i._pessoa_2)
nx_g.add_edge(i._pessoa_1._pessoa, i._pessoa_2._pessoa,
weight=i._amizade)
print(i._pessoa_1, "->", i._pessoa_2, "=", i._amizade)
if show_plot:
desenho = nx.spring_layout(nx_g)
nx.draw_networkx_nodes(nx_g, desenho, node_size=20,
node_color="#32CD32", edgecolors="#8DEEEE")
nx.draw_networkx_labels(nx_g, desenho, font_size=7)
for f in graf.edges():
nx.draw_networkx_edges(nx_g, desenho, width=f.amizade()**0.01)
nx.draw_networkx_edge_labels(nx_g, desenho, font_size=6)
plt.axis("off")
plt.show()
謝謝您的幫助！
uj5u.com熱心網友回復：
在您的代碼中，您只需將每個邊的權重傳遞給draw()函式中的寬度引數。
你可以參考下面的代碼。由于您的代碼不可重現，因此我創建了一個隨機圖
import networkx as nx
import random
G=nx.gnm_random_graph(5,10,seed=42) #creating random graph with 5 nodes and 10 edges
#assigning random weights to each edge
for (u, v) in G.edges():
G.edges[u,v]['weight'] = random.randint(0,5)
#weight of each of the edge
weights = nx.get_edge_attributes(G,'weight').values()
#drawing the graph
nx.draw(G,pos=nx.spring_layout(G),width=list(weights))
該圖如下所示：
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標籤：Python CSV matplotlib 图形 网络x