- from_pandas_adjacency(df, create_using=None)[source]#
Returns a graph from Pandas DataFrame.
The Pandas DataFrame is interpreted as an adjacency matrix for the graph.
- dfPandas DataFrame
An adjacency matrix representation of a graph
- create_usingNetworkX graph constructor, optional (default=nx.Graph)
Graph type to create. If graph instance, then cleared before populated.
For directed graphs, explicitly mention create_using=nx.DiGraph, and entry i,j of df corresponds to an edge from i to j.
dfhas a single data type for each entry it will be converted to an appropriate Python data type.
dfhas a user-specified compound data type the names of the data fields will be used as attribute keys in the resulting NetworkX graph.
Simple integer weights on edges:
>>> import pandas as pd >>> pd.options.display.max_columns = 20 >>> df = pd.DataFrame([[1, 1], [2, 1]]) >>> df 0 1 0 1 1 1 2 1 >>> G = nx.from_pandas_adjacency(df) >>> G.name = "Graph from pandas adjacency matrix" >>> print(G) Graph named 'Graph from pandas adjacency matrix' with 2 nodes and 3 edges