# 在networkx中将节点组合在一起

## 最小的工作发电机

import string, random
import networkx as nx
import matplotlib.pyplot as plt
from scipy.sparse import random as sparse_random

# Random string generator
def rand_string(size=6, chars=string.ascii_uppercase):
return ''.join(random.choice(chars) for _ in range(size))

# Set up a nodes and networks randomly
nodes = [rand_string() for _ in range(30)]
networks = [rand_string() for _ in range(5)]
networks_list = networks*6
random.shuffle(networks_list)

# Define what nodes belong to what network and what their color should be
node_network_map = dict(zip(nodes, networks_list))
colors = ['green', 'royalblue', 'red', 'orange', 'cyan']
color_map = dict(zip(networks, colors))

graph = nx.Graph()
nodes_by_color = {val: [node for node in graph if color_map[node_network_map[node]] == val]
for val in colors}

# Take random sparse matrix as adjacency matrix
mat = sparse_random(30, 30, density=0.3).todense()
for row, row_val in enumerate(nodes):
for col, col_val in enumerate(nodes):
if col > row and mat[row, col] != 0.0: # Stick to upper half triangle, mat is not symmetric

# Choose a layout to visualize graph
pos = nx.spring_layout(graph)
edges = graph.edges()

# Get the edge weights and normalize them
weights = [abs(graph[u][v]['weight']) for u, v in edges]
weights_n = [5*float(i)/max(weights) for i in weights] # Change 5 to control thickness

# First draw the nodes
plt.figure()
for color, node_names in nodes_by_color.items():
nx.draw_networkx_nodes(graph, pos=pos, nodelist=node_names, node_color=color)

# Then draw edges with thickness defined by weights_n
nx.draw_networkx_edges(graph, pos=pos, width=weights_n)
nx.draw_networkx_labels(graph, pos=pos)
plt.show()
python-3.x networkx
##### 1个回答
2

# --- Begin_myhack ---
# All this code should replace original `pos=nx.spring_layout(graph)`
import numpy as np
pos = nx.circular_layout(graph)   # replaces your original pos=...
# prep center points (along circle perimeter) for the clusters
angs = np.linspace(0, 2*np.pi, 1+len(colors))
repos = []
for ea in angs:
if ea > 0:
for ea in pos.keys():
#color = 'black'
posx = 0
if ea in nodes_by_color['green']:
#color = 'green'
posx = 0
elif ea in nodes_by_color['royalblue']:
#color = 'royalblue'
posx = 1
elif ea in nodes_by_color['red']:
#color = 'red'
posx = 2
elif ea in nodes_by_color['orange']:
#color = 'orange'
posx = 3
elif ea in nodes_by_color['cyan']:
#color = 'cyan'
posx = 4
else:
pass
#print(ea, pos[ea], pos[ea]+repos[posx], color, posx)
pos[ea] += repos[posx]
# --- End_myhack ---

# --- Begin_my_hack ---
# All this code should replace original `pos=nx.spring_layout(graph)`
import numpy as np
pos = nx.circular_layout(graph)
radii = [7,15,30,45,60]  # for concentric circles

for ea in pos.keys():
new_r = 1
if ea in nodes_by_color['green']: