生成邻接矩阵 在NetworkX中,我们可以使用nx.adjacency_matrix函数来生成邻接矩阵。该函数将图作为参数,并返回一个稀疏矩阵对象。 # 生成邻接矩阵adj_matrix=nx.adjacency_matrix(G) 1. 2. 保存邻接矩阵 接下来,我们可以将生成的邻接矩阵保存到文件中。在Python中,我们可以使用numpy库来处理矩阵,并使用scipy库来保存矩...
Weighted_Adjacency(matrix, mode=ADJ_DIRECTED, attr="weight",loops=True)根据连接矩阵产生图,matrix为连接矩阵,mode为图的模式 import igraph as ig g=ig.Graph.Weighted_Adjacency(matrix=[[0,1,2,3],[1,0,1,2],[1,1,0,4],[1,1,1,0]],mode="DIRECTED") g.layout_grid() ig.plot(g,"d:\...
igraph 支持为节点、连边、图对象添加属性。首先,我们创建一个简单的社会网络: >>> g = ig.Graph([(0,1), (0,2), (2,3), (3,4), (4,2), (2,5), (5,0), (6,3), (5,6)]) 假设我们要为节点(人)添加姓名、年龄、性别属性,同时对于连边(社会联系)添加是否为正式联系的标注属性。对于...
The following table summarises the formats |igraph| can read or write:FormatShort nameReader methodWriter method Adjacency list lgl :meth:`Graph.Read_Lgl` :meth:`Graph.write_lgl` (a.k.a. LGL) Adjacency matrix adjacency :meth:`Graph.Read_Adjacency` :meth:`Graph.write_adjacency` D...
library("igraph")#赋权图的构建A =matrix(c(0,0,11,5,0,0,0,0,9,13,0,0,11,9,0,9,7,0,5,13,9,0,15,5,0,0,7,15,0,9,0,0,0,5,9,0), nrow=6, ncol=6,byrow =TRUE) g<- graph.adjacency(A,weighted=TRUE, mode =c("undirected")) ...
总的来说,Networkx、igraph 和 Graph-tool 都是优秀的网络分析工具,各有优劣。Networkx 的 API 简单易用,适合初学者和小规模网络分析;而 igraph 和 Graph-tool 在处理大规模网络数据时,性能更优,但学习和安装难度相对较大。用户可以根据自己的需求和情况,选择最适合自己的工具。
tl.leiden(adata,flavor="igraph",n_iterations=2) sc.pl.umap(adata, color=["leiden"], legend_loc="on data", size=5) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 running Leiden clustering finished: found 8 clusters and added 'leiden', the cluster labels (adata.obs, categorical) (0...
rigraph:只计算所有顶点对的子集的最短路径 因为有偶数个顶点要配对,所以可以将所有顶点分成两组,即偶数或奇数,如下所示 v_even <- subset(V(g), !V(g) %% 2)v_odd <- subset(V(g), !!V(g) %% 2) 然后运行shortest_paht和mapply生成最短路径 > mapply(function(x, y) shortest_paths(g, x,...
scipy (adjacency matrix as sparse matrix) tqdm (progressbar) Cython (10-100x speedup) networkx (To use the NetworkX wrapper function, you obviously need NetworkX) python-igraph (To use the igraph wrapper) Spatialize a 2D Grid Usage from fa2 import ForceAtlas2 ...
igraph ihaskell iis iis-7 ijulia-notebook image image-augmentation image-classification image-compression image-file image-masking image-preprocessing image-processing image-quality image-recognition image-registration image-resizing image-rotation image-segmentation image-size image-text image-thresholding ...