metricgraph 0.1.1

Generate and plot metric and weighted graphs

MetricGraph

metricgraph is a Python package to generate, manipulate, and visualize metric graphs in 2D and 3D. It supports directed/undirected graphs, self-loops, connectivity constraints, and interactive plotting.

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📚 Documentation

Full documentation is available at: https://metricgraph.readthedocs.io/en/latest/

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⚡ Installation

You can install the package via pip:

pip install metricgraph

Or install from source:

git clone https://github.com/ploki99/metricgraph.git
cd metricgraph
pip install -e .

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🚀 Examples

import numpy as np
import random

from metricgraph import MetricGraph, WeightedGraph

# Construct 3D MetricGraph and plot it
vertices = [[0, 0, 0.1],
            [0, 0.8, -0.1],
            [1, 0, 0.4],
            [0.7, 0.4, 0.3]]

edges = [[0, 1], [0, 2], [1, 1], [2, 3], [3, 2]]
graph = MetricGraph(vertices, edges)
print(graph)
print(graph.get_properties())
graph.plot(directed=True)

# Generate 2D WeightedGraph and plot edges/vertices weights 
random.seed(42)
graph2 = WeightedGraph.generate_graph(n_vertices=10, n_dim=2)
graph2.set_edges_weight('edge_test', np.arange(9))
graph2.plot_weight('edge_test', title='test edges weight')
graph2.set_vertices_weight('vert_test', np.arange(10))
graph2.plot_weight('vert_test', title='test vertices weight')

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🛠 Features

• Generate graphs with specified number of vertices, dimensions, and connectivity constraints
• Compute graph metrics and boundary nodes
• Interactive 2D/3D plotting
• Weighted graphs support
• Fully documented API

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📄 License

MIT License