小编use*_*523的帖子

我有一个代表网络拓扑结构的关键节点是颜色的networkx春天布局为红色,其余是蓝色边缘与虚线表示的关键节点的路由我怎么可以在指定的时间间隔动画绘制networkx边缘？

#!/usr/bin/env python

import matplotlib.pyplot as plt
import networkx as nx
import matplotlib as mpl

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','d',weight=0.3)

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

#specify an initial position that is not random e.g. use a circular layout
pos=nx.circular_layout(G)
pos=nx.spring_layout(G,dim=2,pos=pos) # positions for all nodes
#pos=nx.spring_layout(G) # positions for all nodes
print "Graph xy positions"
print  pos

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

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

# …

可能重复:
在Python中将列表迭代为对(当前,下一个)

我有一个这样的列表:

list = [A, B, C, D, E, F, G]

如何对此进行分组以获得以下Python输出

[(A,B), (B,C), (C, D), (D,E), (E,F), (F,G)]

所以这些值按secound值分组但订单仍然保留......