Skip to main content

XNET File format (xnetwork)

xnetwork is a small python package that allows you to read .xnet files (compleX NETwork format), a format designed to easily handle graph data with multiple attributes.

This file format is used across several of my other projects, including Helios-Web.

Installation

You can easily install xnetwork by using pip:

pip install xnetwork

Usage

Loading a Graph

To read a Graph from a .xnet formatted file, simply use the load function:

from xnetwork import load

graph = load("path_to_file.xnet")

Saving a Graph

To save a graph object to .xnet format:

from xnetwork import save
from igraph import Graph

# Your igraph graph object
g = Graph()

save(g, "output_file.xnet")

.xnet Format

A brief overview of the .xnet format:

#vertices <number_of_vertices>
<Vertex 0 name>
<Vertex 1 name>
...

#edges weighted|nonweighted undirected|directed
<source_vertex> <target_vertex> [weight]
...

#v "<vertex_attribute_name>" s|n|v2|v3
<attribute_value>
...

#e "<edge_attribute_name>" s|n|v2|v3
<attribute_value>
...
  • The #vertices tag specifies the number of vertices in the graph, followed by their labels.

  • The #edges tag specifies if edges are weighted or non-weighted and whether they are directed or undirected. Each subsequent line lists an edge by its source and target vertices, optionally followed by a weight in square brackets.

  • The #v and #e tags specify vertex and edge attributes respectively. These tags are followed by the attribute name and its type. The type can be a string (s), number (n), 2D vector (v2), or 3D vector (v3).

Example

Consider the following .xnet file:

#vertices 4 
"Label 0"
"Label 1"
...
#edges weighted undirected
0 1 [0.1]
0 2 [0.2]
...
#v "A string property" s
"A string value"
"Another string value"
...

This represents a graph with 4 vertices and 2 weighted, undirected edges.

API Reference

load(fileName='test.xnet', compressed=False)

Read a Graph from a xnet formatted file.

Parameters

  • fileName : string Input file path.
  • compressed : bool If True, input file is compressed using gzip.

Returns

  • igraph.Graph : The graph object loaded from the file.

save(g, fileName='test.xnet', ignoredNodeAtts=[], ignoredEdgeAtts=[], compressed=False)

Write igraph object to .xnet format.

Vertex attributes 'name' and 'weight' are treated in a special manner. They correspond to attributes assigned inside the #vertices tag. Edge attribute 'weight' is assigned to edges inside the #edges tag.

Parameters

  • g : igraph.Graph Input graph.
  • fileName : string Output file.
  • ignoredNodeAtts : list List of node attributes to ignore when writing graph.
  • ignoredEdgeAtts : list List of edge attributes to ignore when writing graph.
  • compressed : bool If True, output file will be compressed using gzip.

Returns

  • None : The function saves the graph object to the specified file.

Special network attribute names

Some attribute names are interpreted by certain software in different ways.

  • Node attribute named Label is interpreted as vertex label.
  • Node attribute named Position is interpreted as vertex position (can be v2 or v3).
  • Node attribute named weight is interpreted as edge weight.

Authors

  • Filipi N. Silva (filipinascimento.github.io)
  • Cesar H. Comin

License

This project is licensed under the MIT License.


Feel free to contribute and raise issues on the GitHub repository.

Metadata

Release files for tpdistance 0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tpdistance 0.1
File Size Uploaded
tpdistance-0.1.tar.gz 6.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tpdistance 0.1
File Interpreter ABI Platform
tpdistance-0.1-py3-none-any.whl Python 3 none any Details

Total release size: 12.6 kB

Release files / tpdistance-0.1.tar.gz

Download URL tpdistance-0.1.tar.gz
Size 6.1 kB
Tags Source
SHA-256 checksum
How to use checksums
b6e976e7811c094d9467abbf7a29320ebb8b304c75c2471b89484aaad8b847bb
BLAKE2b-256 checksum
How to use checksums
57ce2abfe7b370483f3de171d4d95ffee460cda9f06dd50db66e7ec403292760
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.13

Release files / tpdistance-0.1-py3-none-any.whl

Download URL tpdistance-0.1-py3-none-any.whl
Size 6.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6891c3ce7672fa9335a00684397197652606b54544a5d849230d50ceca1c33ba
BLAKE2b-256 checksum
How to use checksums
bb86b5aadaaa4eb607fab8a9578afc95194ad5f241a9c1d6d4d6c988a9eb618b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.8.13

Release history Release notifications | RSS feed

This release

0.1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page