networkx

问题 I don't know how to save a new graph png for each iteration of a loop using NetworkX. I've borrowed the code from this question: in NetworkX cannot save a graph as jpg or png file and manipulated it a bit. Below is the code: import networkx as nx import matplotlib.pyplot as plt fig = plt.figure(figsize=(12,12)) ax = plt.subplot(111) ax.set_title('Graph - Shapes', fontsize=10) G = nx.DiGraph() G.add_node('shape1', level=1) G.add_node('shape2', level=2) G.add_node('shape3', level=2) G.add_node(

问题 I don't know how to save a new graph png for each iteration of a loop using NetworkX. I've borrowed the code from this question: in NetworkX cannot save a graph as jpg or png file and manipulated it a bit. Below is the code: import networkx as nx import matplotlib.pyplot as plt fig = plt.figure(figsize=(12,12)) ax = plt.subplot(111) ax.set_title('Graph - Shapes', fontsize=10) G = nx.DiGraph() G.add_node('shape1', level=1) G.add_node('shape2', level=2) G.add_node('shape3', level=2) G.add_node(

问题 I don't know how to save a new graph png for each iteration of a loop using NetworkX. I've borrowed the code from this question: in NetworkX cannot save a graph as jpg or png file and manipulated it a bit. Below is the code: import networkx as nx import matplotlib.pyplot as plt fig = plt.figure(figsize=(12,12)) ax = plt.subplot(111) ax.set_title('Graph - Shapes', fontsize=10) G = nx.DiGraph() G.add_node('shape1', level=1) G.add_node('shape2', level=2) G.add_node('shape3', level=2) G.add_node(

问题 I'm reading an edgelist using networkX. The edgelist contains entries of the form: 1; 2; 3 2; 3; 5 3; 1; 4 where 3rd column is the weight. When I plot this, it displays the weight 3 as: {'weight': 3} instead of just 3. Ultimately I want to be able to perform operations using the weight (e.g. calculated highest weight, display only the edges which have a weight: 'x', etc., Here is the minimal working code: import networkx as nx import pylab as plt G=nx.Graph() G=nx.read_edgelist('sample_with

问题 I have a question on how to add edges to a graph from a dictionary containing lists as values. I want to define a function that takes a dictionary as an argument and then adding an edge for each key+object in the list of values. I have created the empty graph structure and wonder if there is a smart way to add the entire dictionary. def build_network(dict): G = nx.Graph() After that I just want to return the constructed graph. I know it is a novice question, but any help will be received

问题 I have a question on how to add edges to a graph from a dictionary containing lists as values. I want to define a function that takes a dictionary as an argument and then adding an edge for each key+object in the list of values. I have created the empty graph structure and wonder if there is a smart way to add the entire dictionary. def build_network(dict): G = nx.Graph() After that I just want to return the constructed graph. I know it is a novice question, but any help will be received

问题 I have a question on how to add edges to a graph from a dictionary containing lists as values. I want to define a function that takes a dictionary as an argument and then adding an edge for each key+object in the list of values. I have created the empty graph structure and wonder if there is a smart way to add the entire dictionary. def build_network(dict): G = nx.Graph() After that I just want to return the constructed graph. I know it is a novice question, but any help will be received

问题 import itertools import copy import networkx as nx import pandas as pd import matplotlib.pyplot as plt #-- edgelist = pd.read_csv('https://gist.githubusercontent.com/brooksandrew /e570c38bcc72a8d102422f2af836513b/raw/89c76b2563dbc0e88384719a35cba0dfc04cd522/edgelist_sleeping_giant.csv') edgelist.head(10) #-- nodelist = pd.read_csv('https://gist.githubusercontent.com/brooksandrew/f989e10af17fb4c85b11409fea47895b/raw/a3a8da0fa5b094f1ca9d82e1642b384889ae16e8/nodelist_sleeping_giant.csv')

问题 Say I have two networkx graphs, G and H : G=nx.Graph() fromnodes=[0,1,1,1,1,1,2] tonodes=[1,2,3,4,5,6,7] for x,y in zip(fromnodes,tonodes): G.add_edge(x,y) H=nx.Graph() fromnodes=range(2,8) tonodes=range(8,14) for x,y in zip(fromnodes,tonodes): H.add_edge(x,y) What is the best way to join the two networkx graphs? I'd like to preserve the node names (note the common nodes, 2 to 7). When I used nx.disjoint_union(G,H) , this did not happen: >>> G.nodes() [0, 1, 2, 3, 4, 5, 6, 7] >>> H.nodes() [2

问题 Say I have two networkx graphs, G and H : G=nx.Graph() fromnodes=[0,1,1,1,1,1,2] tonodes=[1,2,3,4,5,6,7] for x,y in zip(fromnodes,tonodes): G.add_edge(x,y) H=nx.Graph() fromnodes=range(2,8) tonodes=range(8,14) for x,y in zip(fromnodes,tonodes): H.add_edge(x,y) What is the best way to join the two networkx graphs? I'd like to preserve the node names (note the common nodes, 2 to 7). When I used nx.disjoint_union(G,H) , this did not happen: >>> G.nodes() [0, 1, 2, 3, 4, 5, 6, 7] >>> H.nodes() [2