Hi, I'm loading directed weighted graph from csv file into graph-tool graph graph. The organization of the input csv file is: 1,2,300 2,4,432 3,89,1.24 ... Where the fist two entries of a line identify source and target of an edge and the third number is the weight of the edge. Currently I'm using: import csv g = gt.Graph() e_weight = g.new_edge_property("float") f_network = open(in_file_directory+ '/'+network_input, 'r') reader_network = csv.reader(f_network, delimiter=delimiter) for edge in reader_network: e = g.add_edge(int(edge[0]), int(edge[1])) e_weight[e] = float(edge[2]) f_network.close() However it takes quite long to load the data (I have network of 10 millions of nodes). I have tried to make it faster by using g.add_edge_list, but this works only for unweighted graphs. Any suggestion how to make it faster? -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/... Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.