import networkx as nx
import os
dir = r'd:\YandexDisk\Projects\Bali'
os.chdir(dir)
G = nx.read_shp(r'Rivers_network.shp')
nodes = nx.nodes(G)
edges = nx.edges(G)
total_dict = nx.get_edge_attributes(G, 'Total')
for node in nodes:
ancestors = list(nx.ancestors(G, node))
sum_weight = 0
for coords in ancestors:
for edge in edges:
if tuple([edge[0][0], edge[0][1]]) == tuple([coords[0], coords[1]]):
sum_weight += int(total_dict[edge])
print(sum_weight)
for edge in edges:
if edge[0] == node:
accum_edge = {edge: sum_weight}
nx.set_edge_attributes(G, accum_edge, 'Accum')
nx.write_shp(G, dir)
我已经用算法解决了这个问题。它似乎处理节点并返回节点集,我们可以对其进行总结。这不是很方便,因为我们需要从流到节点获得权重,然后将它们从节点到流关联起来。但它确实起作用了。你知道吗
相关问题 更多 >
编程相关推荐