我有一些列表列表格式的关系数据,我想将其导入到 iGraph.Graph()
中。列表列表包含重复边,最终,我想为重复边添加边权重。但是,目前,我无法弄清楚在尝试将边添加到图形时我做错了什么,减去权重因子。
我认为问题在于我必须先将所有顶点导入图中,然后我才能在顶点之间添加边,但事实并非如此。
我在将这些边加载到图中时做错了什么?
*我如何修改我的边加载过程以首先在图中查找边,如果没有找到,则添加边,如果找到,则将该边的权重增加 1,*
数据
In [60]: edges
Out[60]: [['a', 'b'],
['a', 'b'],
['a', 'b'],
['b', 'a'],
['a', 'c'],
['c', 'a'],
['c', 'd'],
['c', 'd'],
['d', 'c'],
['d', 'c']]
将边加载到图形中并出错的 IGRAPH 代码
In [61]: # extract vertices for edges list
vertices = []
for line in edges:
nodes.append(line[0])
nodes.append(line[1])
# find unique vertices
uniq_vertices = set(sorted(nodes))
In [62]: # create an empty graph
g = igraph.Graph()
In [63]: # add vertices to the graph
g.add_vertices(uniq_vertices)
In [64]: # for each line in the edges list, check to see if it's already in the graph, and if not, add it to the graph.
for line in edges:
if not line in g.get_edgelist():
g.add_edges(edges)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-64-04a376c78860> in <module>()
2 for line in edges:
3 if not line in g.get_edgelist():
----> 4 g.add_edges(edges)
C:\Users\Curtis\Anaconda\lib\site-packages\igraph\__init__.pyc in add_edges(self, es)
228 endpoints. Vertices are enumerated from zero.
229 """
--> 230 return GraphBase.add_edges(self, es)
231
232 def add_vertex(self, name=None, **kwds):
ValueError: no such vertex: 'a'
最佳答案
问题大概就在这里(至少这部分代码对我来说没有意义):
for line in edges:
if not line in g.get_edgelist():
g.add_edges(edges)
这里检查line
是否在g.get_edgelist()
中,放心不会是因为你的edges
列表包含列表,而 g.get_edgelist()
返回 元组。然后添加所有边,而不仅仅是您检查过的边。
我附上了您的代码的另一个版本,它似乎可以为我完成这项工作。请注意,我在创建图形时并没有消除多条边 - 我添加了它们,然后简单地要求 igraph 将它们折叠成一个并将它们的权重加在一起:
import igraph
edges = [['a', 'b'],
['a', 'b'],
['a', 'b'],
['b', 'a'],
['a', 'c'],
['c', 'a'],
['c', 'd'],
['c', 'd'],
['d', 'c'],
['d', 'c']]
# collect the set of vertex names and then sort them into a list
vertices = set()
for line in edges:
vertices.update(line)
vertices = sorted(vertices)
# create an empty graph
g = igraph.Graph()
# add vertices to the graph
g.add_vertices(vertices)
# add edges to the graph
g.add_edges(edges)
# set the weight of every edge to 1
g.es["weight"] = 1
# collapse multiple edges and sum their weights
g.simplify(combine_edges={"weight": "sum"})
关于python - 将列表列表(表示边)中的数据加载到 python 中的 igraph 图中,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/25835976/