/Python/Networkx node attribute from a dataframe

Networkx node attribute from a dataframe

import networkx as nx
import pandas as pd

# Build a sample dataframe (with 2 edges: 0 -> 1, 0 -> 2, node 0 has attr_1 value of 'a', node 1 has 'b', node 2 has 'c')
d = {'node_from': [0, 0], 'node_to': [1, 2], 'src_attr_1': ['a','a'], 'tgt_attr_1': ['b', 'c']}
df = pd.DataFrame(data=d)
G = nx.from_pandas_edgelist(df, 'node_from', 'node_to')

# Iterate over df rows and set the source and target nodes' attributes for each row:
for index, row in df.iterrows():
    G.nodes[row['node_from']]['attr_1'] = row['src_attr_1']
    G.nodes[row['node_to']]['attr_1'] = row['tgt_attr_1']

print(G.edges())
print(G.nodes(data=True))

Source: stackoverflow.com

Similar codes

0 vote227 views1 answer
Sort strings as numbers python
Python
0 vote211 views1 answer
Python remove second occurrence of character in string
Python
8 votes223 views3 answers
Save plot in python
Python
3 votes221 views2 answers
Multiple variable input in python
Python
-1 vote219 views1 answer
Matplotlib limit number of ticks
Python
49 votes224 views6 answers
Sort dictionary
Python
0 vote237 views2 answers
How to play a mp3 file in python
Python
0 vote237 views1 answer
Numpy convolution stride tricks
Python
2 votes234 views2 answers
Tkinter mainloop
Python
10 votes273 views5 answers
Zip python
Python