pyintergraph 1.3.1

Converts Graph Objects between networkX, graph_tools and igraph

pyintergraph

Convert Python-Graph-Objects between networkx, python-igraph and graph-tools.

Installation

This package can be installed via:

pip install pyintergraph

For the note on imports and dependencies, see the section at the bottom of the page.

Usage

import networkx as nx
import pyintergraph

nx_graph = nx.karate_club_graph()

graph_tool_graph = pyintergraph.nx2gt(nx_graph, labelname="node_label")
igraph_graph = pyintergraph.gt2igraph(graph_tool_graph, labelname="node_label")
reversed_nx_graph = pyintergraph.igraph2nx(igraph_graph)

# or

Graph = pyintergraph.InterGraph.from_networkx(nx_graph)
graph_tool_graph = Graph.to_graph_tool(labelname="node_label")
igraph_graph = Graph.to_igraph()
reversed_nx_graph = Graph.to_networkx()

assert list(nx_graph.nodes(data=True)) == list(reversed_nx_graph.nodes(data=True))
assert list(nx_graph.edges(data=True)) == list(reversed_nx_graph.edges(data=True))
assert type(nx_graph) == type(reversed_nx_graph)

Versions and dependencies

This package ist built and tested with the following configuration:

• python 3.7.6
• networkX 2.4
• igraph 0.8.0
• graph_tool 2.29

A note on imports and dependencies

Because the installation of python-igraph and graph_tool can be tricky, they are not set as required dependencies for this package. As not everyone has all three packages installed, imports happen just when the two functions of interest are called. That way it is possible to convert networkX-Graphs to igraph-Graphs even when graph_tool is not installed.

Docker container

If any problems with the installation of python-igraph oder graph_tool arise, the Docker-Container, which is used for testing here, can be used: registry.gitlab.com/luerhard/pyintergraph.

This arch container contains a fully working installation of python 3.7 and the three network-libraries which can be converted with this tool. A Dockerfile to rebuild this image can be found in the pacakge-repository on gitlab.com/luerhard/pyintergraph