介紹幾個python networks繪製的例子

這部分國內CSDN質量太差了，官網抄都抄不好，這裏做個搬運工。

import networkx as nx
import numpy as np
import matplotlib.pyplot as plt

G = nx.Graph()
G.add_edges_from(
    [('A', 'B'), ('A', 'C'), ('D', 'B'), ('E', 'C'), ('E', 'F'),
     ('B', 'H'), ('B', 'G'), ('B', 'F'), ('C', 'G')])

val_map = {'A': 1.0,
           'D': 0.5714285714285714,
           'H': 0.0}

values = [val_map.get(node, 0.25) for node in G.nodes()]

nx.draw(G, cmap = plt.get_cmap('jet'), node_color = values)
plt.show()

import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
import pylab

G = nx.DiGraph()

G.add_edges_from([('A', 'B'),('C','D'),('G','D')], weight=1)
G.add_edges_from([('D','A'),('D','E'),('B','D'),('D','E')], weight=2)
G.add_edges_from([('B','C'),('E','F')], weight=3)
G.add_edges_from([('C','F')], weight=4)


val_map = {'A': 1.0,
                   'D': 0.5714285714285714,
                              'H': 0.0}

values = [val_map.get(node, 0.45) for node in G.nodes()]
edge_labels=dict([((u,v,),d['weight'])
                 for u,v,d in G.edges(data=True)])
red_edges = [('C','D'),('D','A')]
edge_colors = ['black' if not edge in red_edges else 'red' for edge in G.edges()]

pos=nx.spring_layout(G)
nx.draw_networkx_edge_labels(G,pos,edge_labels=edge_labels)
nx.draw(G,pos, node_color = values, node_size=1500,edge_color=edge_colors,edge_cmap=plt.cm.Reds)
pylab.show()

# Author: Aric Hagberg ([email protected])

#    Copyright (C) 2007-2019 by
#    Aric Hagberg <[email protected]>
#    Dan Schult <[email protected]>
#    Pieter Swart <[email protected]>
#    All rights reserved.
#    BSD license.

try:  # Python 3.x
    import urllib.request as urllib
except ImportError:  # Python 2.x
    import urllib
import io
import zipfile

import matplotlib.pyplot as plt
import networkx as nx

url = "http://www-personal.umich.edu/~mejn/netdata/football.zip"

sock = urllib.urlopen(url)  # open URL
s = io.BytesIO(sock.read())  # read into BytesIO "file"
sock.close()

zf = zipfile.ZipFile(s)  # zipfile object
txt = zf.read('football.txt').decode()  # read info file
gml = zf.read('football.gml').decode()  # read gml data
# throw away bogus first line with # from mejn files
gml = gml.split('\n')[1:]
G = nx.parse_gml(gml)  # parse gml data

print(txt)
# print degree for each team - number of games
for n, d in G.degree():
    print('%s %d' % (n, d))

options = {
    'node_color': 'black',
    'node_size': 50,
    'line_color': 'grey',
    'linewidths': 0,
    'width': 0.1,
}
nx.draw(G, **options)
plt.show()

# Author: Rodrigo Dorantes-Gilardi ([email protected])

import matplotlib as mpl
import matplotlib.pyplot as plt
import networkx as nx

G = nx.generators.directed.random_k_out_graph(10, 3, 0.5)
pos = nx.layout.spring_layout(G)

node_sizes = [3 + 10 * i for i in range(len(G))]
M = G.number_of_edges()
edge_colors = range(2, M + 2)
edge_alphas = [(5 + i) / (M + 4) for i in range(M)]

nodes = nx.draw_networkx_nodes(G, pos, node_size=node_sizes, node_color='blue')
edges = nx.draw_networkx_edges(G, pos, node_size=node_sizes, arrowstyle='->',
                               arrowsize=10, edge_color=edge_colors,
                               edge_cmap=plt.cm.Blues, width=2)
# set alpha value for each edge
for i in range(M):
    edges[i].set_alpha(edge_alphas[i])

pc = mpl.collections.PatchCollection(edges, cmap=plt.cm.Blues)
pc.set_array(edge_colors)
plt.colorbar(pc)

ax = plt.gca()
ax.set_axis_off()
plt.show()

# Author: Aric Hagberg ([email protected])
import matplotlib.pyplot as plt
import networkx as nx

G = nx.cubical_graph()
pos = nx.spring_layout(G)  # positions for all nodes

# nodes
nx.draw_networkx_nodes(G, pos,
                       nodelist=[0, 1, 2, 3],
                       node_color='r',
                       node_size=500,
                       alpha=0.8)
nx.draw_networkx_nodes(G, pos,
                       nodelist=[4, 5, 6, 7],
                       node_color='b',
                       node_size=500,
                       alpha=0.8)

# edges
nx.draw_networkx_edges(G, pos, width=1.0, alpha=0.5)
nx.draw_networkx_edges(G, pos,
                       edgelist=[(0, 1), (1, 2), (2, 3), (3, 0)],
                       width=8, alpha=0.5, edge_color='r')
nx.draw_networkx_edges(G, pos,
                       edgelist=[(4, 5), (5, 6), (6, 7), (7, 4)],
                       width=8, alpha=0.5, edge_color='b')


# some math labels
labels = {}
labels[0] = r'$a$'
labels[1] = r'$b$'
labels[2] = r'$c$'
labels[3] = r'$d$'
labels[4] = r'$\alpha$'
labels[5] = r'$\beta$'
labels[6] = r'$\gamma$'
labels[7] = r'$\delta$'
nx.draw_networkx_labels(G, pos, labels, font_size=16)

plt.axis('off')
plt.show()

還有需要其他模板的可以與我聯繫。