Skip to main content

Small python package to read .xnet (compleX NETwork format) files used in my other scripts.

Project description

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.

Links


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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xnetwork-1.0.4.tar.gz (7.7 kB view details)

Uploaded Source

File details

Details for the file xnetwork-1.0.4.tar.gz.

File metadata

  • Download URL: xnetwork-1.0.4.tar.gz
  • Upload date:
  • Size: 7.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.13

File hashes

Hashes for xnetwork-1.0.4.tar.gz
Algorithm Hash digest
SHA256 503886f38c19feb167dc6779f05940d4050c65127451e4c4a42cbdbd542c4bbe
MD5 9705a5ce0ebd0b04c4c6913b3df15d6b
BLAKE2b-256 95f89e3a3ccb845121b9dd11df70b33eb3d966a524a77d429439f023b312f2e9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page