Analyze and Visualize Network Data
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Why it matters
Leverage the NetworkX Python library to create, manipulate, analyze, and visualize complex network and graph data structures. This asset is ideal for tasks involving relationships between entities across various domains.
Outcomes
What it gets done
Generate Python code for graph creation and manipulation.
Perform graph analysis using algorithms like centrality measures and shortest paths.
Create synthetic networks using various generation models.
Read and write graph data from/to multiple file formats and integrate with Pandas DataFrames.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-networkx | bash Overview
NetworkX
A Python package for working with complex networks When you need to create and study network structures in Python
What it does
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Example
Find the shortest path between two nodes in an undirected graph:
import networkx as nx
G = nx.Graph()
G.add_edge("A", "B", weight=4)
G.add_edge("B", "D", weight=2)
G.add_edge("A", "C", weight=3)
G.add_edge("C", "D", weight=4)
nx.shortest_path(G, "A", "D", weight="weight")
# Returns: ['A', 'B', 'D']
Installation
Install the latest released version of NetworkX:
pip install networkx
Install with all optional dependencies:
pip install networkx[default]
Resources
NetworkX provides a website with documentation, a mailing list, GitHub Discussions, and a Discord channel through Scientific Python. The source code is available on GitHub, and the package is released under the 3-clause BSD license. Bug reports can be submitted on GitHub, and the project welcomes pull requests.
Source README
NetworkX is a Python package for the creation, manipulation,
and study of the structure, dynamics, and functions
of complex networks.
FAQ
Common questions
Discussion
Questions & comments · 0
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