반응형
/*******************************************************************************************************************
-- Title : [Py3.5] NetworkX Example (w/ Family Data)
-- Key word : networkx network-x 네트워크 차트 chart 그래프 graph 노드 엣지 node edge
*******************************************************************************************************************/
■ Figures
■ Scripts (on Jupyter Notebook)
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
|
# coding: utf-8
# In[1]:
import pandas as pd
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
df1 = pd.DataFrame(columns=['skey','seq','no'])
df1.skey = ['111','222','222','222','333','333','333','444','444','444','555']
df1.seq = [1,1,2,3,1,2,3,1,2,3,1]
df1.no = ['A','A','B','C','A','B','D','C','D','E','E']
df1
# In[2]:
df2 = pd.DataFrame(columns=df1.no.unique(),index=df1.skey.unique())
for i, [skey,seq,no] in df1.iterrows():
df2.loc[skey,no] = 1
df2 = df2.fillna(0)
df2
# In[3]:
skeys = list(df2.index.get_values())
columns = list(df2.columns.get_values())
print(skeys)
print(columns)
edges = []
for skey,*arg in df2.itertuples():
for i,con in enumerate(arg):
if con:
edges.append((skey, df2.columns[i]))
edges
# In[4]:
get_ipython().magic('time')
G1 = nx.Graph()
G1.add_edges_from( edges )
def circular_pos(n, r):
pos = []
pos.append((0,r))
th = 2*np.pi/n
for i in range(n-1):
x = np.cos(th)*pos[i][0]-np.sin(th)*pos[i][1]
y = np.sin(th)*pos[i][0]+np.cos(th)*pos[i][1]
pos.append((x,y))
return pos
skey_pos = {skey:pos for skey,pos in zip(skeys,circular_pos(len(skeys), 2))}
col_pos = {col:pos for col,pos in zip(columns,circular_pos(len(columns), 1))}
pos = {}
pos.update(skey_pos)
pos.update(col_pos)
labels = {n:n for n in G1.nodes()}
nx.draw_networkx_nodes(G1, pos, nodelist=skeys[:2], node_size=1000, node_color='lightgreen')
nx.draw_networkx_nodes(G1, pos, nodelist=skeys[2:], node_size=1000, node_color='lightblue')
nx.draw_networkx_nodes(G1, pos, nodelist=columns, node_color='yellow')
nx.draw_networkx_edges(G1, pos=pos, alpha=0.5, width=2)
nx.draw_networkx_labels(G1, pos, labels, font_size=10)
plt.axis('off')
plt.show()
# In[5]:
df2
# In[6]:
from itertools import combinations
G2 = nx.Graph()
for col in columns:
tmp = df2[df2[col] == True].index.values.tolist()
edges = list(combinations(tmp, 2))
G2.add_edges_from(edges)
nx.draw_networkx(G2, font_size=10, node_color='lightblue', node_size=800)
plt.axis('off')
plt.show()
|
cs |
반응형