networkx

问题 After 3 days of trying to install networkx for python 3.4, I am on the verge of giving up and I've decided to seek for help from some of you people who had some experience with this perhaps. I managed to install networkx with easy_install or pip_install (I don't even remember anymore of how many times I've tried to install it all), but when I try to compile the very first, most basic piece of code (found in a tutorial): import networkx as nx; Test = nx.Graph(); Test.add_node("Test"); nx.draw

问题 After 3 days of trying to install networkx for python 3.4, I am on the verge of giving up and I've decided to seek for help from some of you people who had some experience with this perhaps. I managed to install networkx with easy_install or pip_install (I don't even remember anymore of how many times I've tried to install it all), but when I try to compile the very first, most basic piece of code (found in a tutorial): import networkx as nx; Test = nx.Graph(); Test.add_node("Test"); nx.draw

问题 I have a list of nodes and edges but I want some edges to be of length two instead of one. So when the distance between the nodes is calculated using the built in algorithm it returns For example, if I have (1, 2), (2*, 3), (4*, 5) as edges between nodes, where the distance between the nodes with an asterisk have length two, the distance between (1, 2) should be 1, (2,3) should be 2 instead of 1 and then the distance between (1,5) should be 5 instead of 3. When adding nodes I've tried G.add

问题 I am trying to create large graph via graph-tool library (near 10^6 - 10^7 vertices) and fill vertex property with vertex name or use names instead of vertex indexes. I have: list of names: ['50', '56', '568'] set of edges, but instead of vertex indexes it consists of their names: edge_list = {frozenset({'568', '56'}), frozenset({'56', '50'}), frozenset({'50', '568'})} Since add_edge_list() allows to create vertices if they are no such vertix in the graph. I'm trying to use it to fill an

问题 I'm working through this tutorial: https://www.datacamp.com/community/tutorials/networkx-python-graph-tutorial import itertools import copy import networkx as nx import pandas as pd import matplotlib.pyplot as plt nodelist = pd.read_csv('https://gist.githubusercontent.com/brooksandrew/f989e10af17fb4c85b11409fea47895b/raw/a3a8da0fa5b094f1ca9d82e1642b384889ae16e8/nodelist_sleeping_giant.csv') g = nx.Graph() for i, nlrow in nodelist.iterrows(): g.node[nlrow['id']] = nlrow[1:].to_dict() ---------

问题 I am trying to add parallel edges between two nodes using NetworkX but it fails with the below error. What am I doing wrong? import networkx as nx import graphviz g1 = nx.MultiGraph() node1 = 'a' node2 = 'b' g1.add_edge(node1,node2,key='one') g1.add_edge(node1,node2,key='two') A = nx.to_agraph(g1) A.add_subgraph() A.draw('test2.png', prog='dot') Error: Traceback (most recent call last): File "test2.py", line 12, in <module> A = nx.to_agraph(g1) File "C:\python27\lib\site-packages\networkx-1

问题 I'm not sure exactly sure what the correct terminology is for my question so I'll just explain what I want to do. I have a directed graph and after I delete a node I want all independently related nodes to be removed as well. Here's an example: Say, I delete node '11', I want node '2' to be deleted as well(and in my own example, they'll be nodes under 2 that will now have to be deleted as well) because its not connected to the main graph anymore. Note, that node '9' or '10' should not be

问题 is anyone familiar with networkx? I try to get a hypergraph, where i want to set the Hyperedges as other colored nodes (size dependent on their value) out of an list. And i want to set the Nodes out of an other list. The documentation and examples on the networkx website are really spare, but i am sure it is possible. I started with this example, but this is only an example for different edges. Can someone tell me how i can put up two different set of nodes with different color/size in

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . like said in the title I have an attribute error. Here is my code: from sympy import * import numpy as np import networkx as nx G=nx.Graph() with open ("testing.txt", "r") as myfile: Matrice=eval(myfile.readline()) Matnum = np.array(np.array(Matrice)) Matnum = Matnum.astype(np.int, copy=False) G.add_node(Matnum

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . like said in the title I have an attribute error. Here is my code: from sympy import * import numpy as np import networkx as nx G=nx.Graph() with open ("testing.txt", "r") as myfile: Matrice=eval(myfile.readline()) Matnum = np.array(np.array(Matrice)) Matnum = Matnum.astype(np.int, copy=False) G.add_node(Matnum