graphml

问题 I have an example of a graph with a graph property named random that has a value of 23 . Is there a way to represent say a list of values as a graph attribute in this format without violating the core format? <?xml version="1.0" encoding="UTF-8"?> <graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd"> <key id="g_random" for=

问题 I'm trying to read a GraphML file containing a single directed Graph into a Haskell Data.Graph in order to run an analysis using the Math.Combinatorics.Graph module. However, I can't find any module that allows me to read a GraphML file, producing a Data.Graph . One related module I found is ForSyDe.Backend.GraphML. However, this seems to be specific to the ForSyDe DSL and I currently can't think of a way to use it to read a plain Data.Graph . Could you point me to a library allowing me to

问题 Hi have a simple graphML file composed of 3 nodes and 2 connections and I would like to convert it so that the internal structure of tags and attribute is differently organized. The original file is the following: <?xml version="1.0" encoding="utf-8"?><graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd"> <graph edgedefault=

问题 Probably a silly question, but I can't find any answer online. My application reads a topology from a custom file and builds a boost::graph out of it. I'm in the process of moving to a more standard graphml representation. I can read/write node properties using a vertex_descriptor as a key, and similarly I can use an edge_descriptor for edge attributes, but what about graph attributes? To which key type will they be associated when they are read in the graphml file? To explain my doubt, here

问题 I'm using NetworkX 1.9.1. I have a graph that I need to organize with positions and I then export to graphml format. I've tried code in this question. It does not work, here is my example import networkx as nx import matplotlib.pyplot as plt G = nx.read_graphml("colored.graphml") pos=nx.spring_layout(G) # an example of quick positioning nx.set_node_attributes(G, 'pos', pos) nx.write_graphml(G, "g.graphml") nx.draw_networkx(G, pos) plt.savefig("g.pdf") Here are the errors I get, the problem is

问题 I have a dataframe consisting of possible network connections in the format df = pd.DataFrame(["A", "B", "Count", "some_attribute"]) . This dataframe represents connections like this: A has a connection with B This connection occurred "Count" times This connection has a specific attribute (i.e. a specific type of contact) I want to export this Dataframe to the graphml format. It works fine using the following code: import networkx as nx G = nx.Graph() G.add_weighted_edges_from(df[["A", "B",

问题 I recently found a .graphml file but have no idea how to open it from command line. Do I need to install something to view such files in ubuntu from command line? I tried google but could not find any result related to this topic. 回答1: Graphml is the standard file format for graph yED editor. This editor can be downloaded on any platform (linux, mac ,windows). The documentation about the graphml format itself, xml-based, can be found here. 来源： https://stackoverflow.com/questions/30928008/view

问题 I have compiled a dataset consisting of thousands of tweets using R. The dataset basically looks like this: Data <- data.frame( X = c(1,2), text = c("Hello @User1 #hashtag1, hello @User2 and @User3, #hashtag2", "Hello @User2 #hashtag3, hello @User1 and @User3, #hashtag4"), screenname = c("author1", "author2") ) Now I want to export this dataset to a Gephi supported graph format (see Supported Graph Formats - Gephi) Whenever an "author" mentions a @user in the text, there should be a direct

问题 I'm saving a graph with node positions in graphml format. I want to load it and draw its nodes in the same positions as before. Data saved in the graphml file consists of primitive types, whereas data used by mathplotlib to draw the graph is a dictionary {string: array([x, y]), dtype=float32} , where the array is most probably a numpy array. I'm using NetworkX 1.9.1, and this is my code. I guess the problem may be due messy iteration. Plus, I can't build from scratch the structure used to

问题 I have a adjacency list of type boost::adjacency_list<boost::setS, boost::vecS, boost::directedS, GraphData> Where GraphData is a structure contains name struct GraphItem { std::string Name; } I am able to write graph to xml void WriteGraph() { boost::dynamic_properties dp; dp.property("Name", make_transform_value_property_map(&Name, boost::get(vertex_bundle, graph))); boost::write_graphml(filename, graph, dp, true); } std::string Name(boost::vertex_bundle_type<Graph>::type v) { std: