[英]Loading data from a list of lists (representing edges) into an igraph graph in python
我有一些列表格式的關系數據,我想導入到iGraph.Graph()
。 列表列表包含重復的邊,最終,我想為重復邊添加邊權重。 然而,目前,當我試圖將圖形邊緣添加到減去權重因子時,我無法弄清楚我做錯了什么。
我認為問題是我必須首先將所有頂點導入到圖形中,然后我可以在頂點之間添加邊緣,但似乎並非如此。
將這些邊加載到圖中我做錯了什么?
*如何修改邊緣加載過程以首先查找圖形中的邊緣,如果未找到,則添加邊緣,如果找到,則將該邊緣的權重增加1,*
數據
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']]
IGRAPH代碼將圖形加載到圖形和錯誤中
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'
問題可能就在這里(至少這部分代碼對我來說沒有意義):
for line in edges:
if not line in g.get_edgelist():
g.add_edges(edges)
在這里檢查line
是否在g.get_edgelist()
,並確保它不會是因為你的edges
列表包含列表,而g.get_edgelist()
返回元組 。 然后添加所有邊,而不僅僅是已檢查的邊。
我附加了代碼的替代版本,似乎可以幫我完成工作。 請注意,在創建圖形時我沒有消除多個邊緣 - 我添加它們然后只需要求igraph將它們折疊成一個並將它們的權重相加:
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"})
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