[英]directed graph with python dataframe
I have a data frame like below:
df=
Parent Child
1087 4
1087 5
1087 25
1096 25
1096 26
1096 27
1096 4
1144 25
1144 26
1144 27
I have tried this below code.. but not providing directed graph just giving graph which is not clear picture
import pandas as pd
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
# Build a dataframe with 4 connections
df = pd.DataFrame([[k, i] for k, v in data.items() for i in v],
columns=['parent', 'child'])
# Build your graph
G = nx.from_pandas_edgelist(df, 'parent', 'child')
# Plot it
nx.draw(G,pos=nx.spring_layout(G), with_labels=True)
plt.show()
I would like like to convert this data frame into directed graph where source is parent and target is child. 我想将此数据框转换为有向图,其中源是父级,目标是子级。
Thanks in advance.... 提前致谢....
You need to specify the create_using
parameter in from_pandas_edgelist : 您需要在from_pandas_edgelist中指定
create_using
参数:
G = nx.from_pandas_edgelist(df, 'parent', 'child', create_using=nx.DiGraph())
The type of G
after is <class 'networkx.classes.digraph.DiGraph'>
and the edges are: 之后的
G
的类型为<class 'networkx.classes.digraph.DiGraph'>
,并且边为:
(1144, 25)
(1144, 26)
(1144, 27)
(1096, 25)
(1096, 26)
(1096, 27)
(1096, 4)
(1087, 25)
(1087, 4)
(1087, 5)
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