3

我编写了一个简单的代码来使用 networkx 库在给定的图 G 中生成随机游走。现在，当我散步时，我希望边缘被着色并使用 matplotlib 绘制。说在一个循环中。例如：假设我从连接边从节点 1 走到节点 2，我希望该边的颜色与其他边不同。继承人的代码：

def unweighted_random_walk(starting_point,ending_point, graph):
'''
starting_point: String that represents the starting point in the graph
ending_point: String that represents the ending point in the graph
graph: A NetworkX Graph object
'''
##Begin the random walk
current_point=starting_point
#current_node=graph[current_point]
current_point_neighors=graph.neighbors(current_point)
hitting_time=0

#Determine the hitting time to get to an arbitrary neighbor of the
#starting point
while current_point!=ending_point:
    #pick one of the edges out of the starting_node with equal probs
    possible_destination=current_point_neighbors[random.randint(0,current_point_neighors)]
    current_point=possible_destination
    current_point_neighbors=graph.neighbors(current_point)
    hitting_time+=1
return hitting_time
4

2 回答 2

3

这是我使用的：

def colors(G):
    colors = []
    for edge,data in G.edges_iter(data=True):
        # return a color string based on whatever property you want
        return 'red' if data['someproperty'] else 'blue'

        # alternatively you could store a 'color' key on the edge
        # return data['color']

    return colors

# When you invoke the draw command pass a list of edge colors
nx.draw_spectral(G, edge_color=colors(G))
于 2011-04-16T17:01:27.733 回答
0

这项工作很好......但是，请注意用适当的值填充列表。对有效代码的修改是：

def colors(G, attrib):
   colors = []    
   for node,data in G.nodes_iter(data=True):
     # return a color string based on whatever property you want
     if data['someproperty'] != attrib:
        colors.append('AliceBlue')
     else:
        colors.append('Crimson')
   return colors
于 2012-08-08T23:25:38.020 回答