networkx

问题 I have two lists of coordinates: first for x-coordinates and second for y-coordinates. I trying to use them as nodes of a graph. import networkx as nx list_of_coordinates_x = list(4.5 , 4, 67, 578, 68) #random numbers list_of_coordinates_y = list(6.7, 3, 12, 45.555, 692) G=nx.MultiGraph() for i in range(len(list_of_coordinates_x)): G.add_node(i, x = list_of_coordinates_x[i], y = list_of_coordinates_y[i]) if i > 0: G.add_edge(i-1,i) nx.draw(G,node_size=10,with_labels=False) But the all graphs

问题 In order to remove attributes from a networkx graph I have the following code: for (n1,n2) in graph.edges(data=False): for att in att_list: graph[n1][n2].pop(att, None) Is there a more pythonic way to do so? 回答1: If you only want to delete a few attributes in some list, say att_list for n1, n2, d in graph.edges(data=True): for att in att_list: d.pop(att, None) Or you can replace the last line with if att in d: del d[att] if it bothers you that pop returns something that you aren't using. The

问题 So I look onto docs and see that they use Graphviz, yet do not use any files... And I have a 4mil+ .dot (70mb) graph file I want to render. How to open and render GraphViz Dot file via holoviz and NetworkX? ##Update: Tested @GijsWobben sample: shows nada on even small 6kb file Something similar was expected for the small file: 回答1: How about this: import hvplot.networkx as hvnx import networkx as nx import holoviews as hv # Read the file G = nx.drawing.nx_agraph.read_dot("./figure.dot") #

问题 Just started learning Network Science and I'm a novice in Python so I've been having a hard time figuring this out even after reading a good bit of the networkx documentation. I need to compare the distance between all the nodes and generate an edge in the event the distance is less than d. 1) How to I compare node 1 to nodes (2...99) and then compare node 2 to nodes (3...99), etc. If there's a better way to do it than O(n^2) please show me. 2) How can I use the x,y coordinates stored in node

问题 I would need to build a nice network using the following data: result_set = {('name1', 'job1'), ('name2', 'job2'), ('name3', 'job3'), ('name4', 'job4'), ('name5', 'job5'), ('name6', 'job6'), ('name7', 'job7'), ('name8', 'job8'), ('name9', 'job3'), ('name10', 'job6'), ('name11', 'job3'), ('name12', 'job1'), ('name13', 'job5'), ('name14', 'job9'), ('name15', 'job10'), ('name16', 'job6'), ('name17', 'job7'), ('name18', 'job11'), ('name19', 'job12'), ('name20', 'job13'), ('name21', 'job7'), (

问题 I have a fairly large and messy network of nodes that I wish to display as neatly as possible. This is how it's currently being displayed: First, I tried playing with the layout to see if it could generate a good output automatically. I have tried many different nx layouts, but they all display similar results. I have also tried answers from all of these stack exchange questions: How to increase node spacing for networkx.spring_layout Drawing a huge graph with networkX and matplotlib NetworkX

问题 I'm using NetworkX to calculate 4 separate centrality metrics for a large network and now I would like to write the results to a CSV file. I don't want to write a single CSV file for each of the 4 metrics, but would rather have something like below: Id, degree, between, close, eigen 1, 0.4, 0.0, 0.5, 0.45 2, 0.4, 0.0, 0.5, 0.45 3, 0.6, 0.6, 0.71, 0.58 4, 0.6, 0.7, 0.71, 0.47 5, 0.2, 0.0, 0.45, 0.18 6, 0.2, 0.0, 0.45, 0.18 Below is the my code to show what I've done so far: import networkx as

问题 I'm using NetworkX to calculate 4 separate centrality metrics for a large network and now I would like to write the results to a CSV file. I don't want to write a single CSV file for each of the 4 metrics, but would rather have something like below: Id, degree, between, close, eigen 1, 0.4, 0.0, 0.5, 0.45 2, 0.4, 0.0, 0.5, 0.45 3, 0.6, 0.6, 0.71, 0.58 4, 0.6, 0.7, 0.71, 0.47 5, 0.2, 0.0, 0.45, 0.18 6, 0.2, 0.0, 0.45, 0.18 Below is the my code to show what I've done so far: import networkx as

问题 I'm using NetworkX to calculate 4 separate centrality metrics for a large network and now I would like to write the results to a CSV file. I don't want to write a single CSV file for each of the 4 metrics, but would rather have something like below: Id, degree, between, close, eigen 1, 0.4, 0.0, 0.5, 0.45 2, 0.4, 0.0, 0.5, 0.45 3, 0.6, 0.6, 0.71, 0.58 4, 0.6, 0.7, 0.71, 0.47 5, 0.2, 0.0, 0.45, 0.18 6, 0.2, 0.0, 0.45, 0.18 Below is the my code to show what I've done so far: import networkx as

问题 I'm using NetworkX to calculate 4 separate centrality metrics for a large network and now I would like to write the results to a CSV file. I don't want to write a single CSV file for each of the 4 metrics, but would rather have something like below: Id, degree, between, close, eigen 1, 0.4, 0.0, 0.5, 0.45 2, 0.4, 0.0, 0.5, 0.45 3, 0.6, 0.6, 0.71, 0.58 4, 0.6, 0.7, 0.71, 0.47 5, 0.2, 0.0, 0.45, 0.18 6, 0.2, 0.0, 0.45, 0.18 Below is the my code to show what I've done so far: import networkx as