to_pandas_edgelist#

to_pandas_edgelist(G, source='source', target='target', nodelist=None, dtype=None, order=None, edge_key=None)[source]#

Returns the graph edge list as a Pandas DataFrame.

Parameters:

Ggraph: The NetworkX graph used to construct the Pandas DataFrame.
sourcestr or int, optional: A valid column name (string or integer) for the source nodes (for the directed case).
targetstr or int, optional: A valid column name (string or integer) for the target nodes (for the directed case).
nodelistlist, optional: Use only nodes specified in nodelist
dtypedtype, default None: Use to create the DataFrame. Data type to force. Only a single dtype is allowed. If None, infer.
orderNone: An unused parameter mistakenly included in the function.

Deprecated since version 2.6: This is deprecated and will be removed in NetworkX v3.0.
edge_keystr or int or None, optional (default=None): A valid column name (string or integer) for the edge keys (for the multigraph case). If None, edge keys are not stored in the DataFrame.

Returns:

dfPandas DataFrame: Graph edge list

Examples

>>> G = nx.Graph(
...     [
...         ("A", "B", {"cost": 1, "weight": 7}),
...         ("C", "E", {"cost": 9, "weight": 10}),
...     ]
... )
>>> df = nx.to_pandas_edgelist(G, nodelist=["A", "C"])
>>> df[["source", "target", "cost", "weight"]]
  source target  cost  weight
0      A      B     1       7
1      C      E     9      10

>>> G = nx.MultiGraph([('A', 'B', {'cost': 1}), ('A', 'B', {'cost': 9})])
>>> df = nx.to_pandas_edgelist(G, nodelist=['A', 'C'], edge_key='ekey')
>>> df[['source', 'target', 'cost', 'ekey']]
  source target  cost  ekey
0      A      B     1     0
1      A      B     9     1