/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

4 votes266 views1 answer
Return python meaning
Python
-1 vote262 views1 answer
Gdscript iterate over dictionary
Python
0 vote252 views1 answer
Beautiful triplets hackerrank solution in python
Python
6 votes253 views4 answers
Pandas rename multiple columns
Python
0 vote271 views2 answers
Doing math in python
Python
1 vote280 views1 answer
Multiprocessing join python
Python
5 votes292 views4 answers
Scikit learn decision tree
Python
6 votes285 views5 answers
How to redirect in django
Python Django
29 votes384 views3 answers
Django admin create project
Python Django
1 vote297 views3 answers
Python venv flask
Python Flask