如何在networkx图形中显示连接列表？

如何解决如何在networkx图形中显示连接列表？

我目前为我的networkx加权图使用以下代码：

import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()

G.add_edge("sam","ben",weight=0.6)
G.add_edge("sam","ted",weight=0.2)
G.add_edge("ted","may",weight=0.1)
G.add_edge("ted","chris",weight=0.7)
G.add_edge("ted","nick",weight=0.9)
G.add_edge("sam",weight=0.3)

elarge = [(u,v) for (u,v,d) in G.edges(data=True) if d["weight"] > 0.5]
esmall = [(u,d) in G.edges(data=True) if d["weight"] <= 0.5]

pos = nx.circular_layout(G)  # positions for all nodes

# nodes
nx.draw_networkx_nodes(G,pos,node_size=700)

# edges
nx.draw_networkx_edges(G,edgelist=elarge,width=6)
nx.draw_networkx_edges(
    G,edgelist=esmall,width=6,alpha=0.5,edge_color="b",style="dashed"
)

# labels
nx.draw_networkx_labels(G,font_size=20,font_family="sans-serif")

plt.axis("off")
plt.show()

哪个给出以下输出：

我一直在搜索，但是找不到一种将鼠标悬停在节点上并列出其所有连接的方法。例如：如果我将鼠标悬停在节点A上，我会知道它已连接到B，C和D及其各自的权重。我在Bokeh上看到了this和this的悬停功能。 关于如何将其嵌入代码中的任何想法？谢谢！

解决方法

请参阅教程here。这是根据您的数据提供的解决方案。

import matplotlib.pyplot as plt
import networkx as nx

G = nx.Graph()

G.add_edge("a","b",weight=0.6)
G.add_edge("a","c",weight=0.2)
G.add_edge("c","d",weight=0.1)
G.add_edge("c","e",weight=0.7)
G.add_edge("c","f",weight=0.9)
G.add_edge("a",weight=0.3)

elarge = [(u,v) for (u,v,d) in G.edges(data=True) if d["weight"] > 0.5]
esmall = [(u,d) in G.edges(data=True) if d["weight"] <= 0.5]

fig,ax = plt.subplots(figsize=(7.2,7.2))
pos = nx.circular_layout(G)  # positions for all nodes
names = np.array(list("abcdef"))

# nodes
# you have to return sc to for interaction to work
sc = nx.draw_networkx_nodes(G,pos,node_size=700)

# edges
nx.draw_networkx_edges(G,edgelist=elarge,width=6)
nx.draw_networkx_edges(
    G,edgelist=esmall,width=6,alpha=0.5,edge_color="b",style="dashed"
)

# labels
nx.draw_networkx_labels(G,font_size=20,font_family="sans-serif")

annot = ax.annotate("",xy=(0,0),xytext=(20,20),textcoords="offset points",bbox=dict(boxstyle="round",fc="w"),arrowprops=dict(arrowstyle="->"))
annot.set_visible(False)

def update_annot(ind):

    pos = sc.get_offsets()[ind["ind"][0]]
    annot.xy = pos
    es = [e for e in G[names[ind["ind"]][0]]]
    text = "{}".format(es)
    annot.set_text(text)
    annot.get_bbox_patch().set_alpha(0.4)


def hover(event):
    vis = annot.get_visible()
    if event.inaxes == ax:
        cont,ind = sc.contains(event)
        if cont:
            update_annot(ind)
            annot.set_visible(True)
            fig.canvas.draw_idle()
        else:
            if vis:
                annot.set_visible(False)
                fig.canvas.draw_idle()

fig.canvas.mpl_connect("motion_notify_event",hover)

关键点：

• 返回散点（PathCollection）以便进行交互。