Rosmontis
Rosmontis is a lightweight library that outputs a graph image using graphviz based on the adjacency list, dictionary, or matrix. This module simplified the steps of creating a graph, where it adds the nodes and edges automatically from the input data to graphviz, creating the graph in one function call.
Installation
- Currently,
rosmontisonly supports Python 3. Usepipto install:
$ pip install --upgrade rosmontis- You also need to have
graphvizinstalled in order to generate the image based on the.dotfiles. See the official website for the installation process: Graphviz.org.
Usage & Examples
Unweighted Undirected Graph in Adjacency List
import rosmontis
g = [['A', ['B', 'E']], # node A is connected to node B and node E
['B', ['E', 'C']], # node B is connected to node E and node C
['C', ['D']],
['D', ['E', 'F']]]
# output a png image representing the graph in the same
# directory of this file.
rosmontis.renderGraphList(graph=g, graphName="example1", weighted=False, directed=False)
Weighted Undirected Graph in Adjacency Dictionary
import rosmontis
# node A is connected to node B with weight of 2, and node E with weight of 0.5
# node B is connected to node E with weight of 0.2, and node C with weight of 3
# ... etc
g = {'A': [['B', 2], ['E', 0.5]],
'B': [['E', 0.2], ['C', 3]],
'C': [['D', 7]],
'D': [['E', 0.15], ['F', 1.6]]}
rosmontis.renderGraphDict(graph=g, graphName="example2", weighted=True, directed=False)
Unweighted Undirected Graph in Adjacency Matrix
import rosmontis
# Note column 0 and row 0 are the headers/labels of each node. The actual weight
# starts from row 1 column 1
# 1 indicates there is an edge, 0 indicates no connection
g = [[None, "A", "B", "C", "D", "E", "F"],
["A", 0, 0, 0, 0, 1, 1 ],
["B", 0, 0, 1, 0, 0, 1 ],
["C", 0, 1, 0, 1, 0, 0 ],
["D", 0, 0, 1, 0, 1, 1 ],
["E", 1, 0, 0, 1, 0, 1 ],
["F", 1, 1, 0, 1, 1, 0 ]]
rosmontis.renderGraphMatrix(graph=g, graphName="example3", weighted=False, directed=False)
Weighted Directed Graph in Adjacency Matrix
import rosmontis
# Change the numbers from 1 to the weight value. Numbers other than 0 represents
# a connection, vice versa.
g = [[None, "A", "B", "C", "D", "E", "F" ],
["A", 0, 2, 0, 0, 0, 3 ],
["B", 0, 0, 0, 0, 0.2, 0 ],
["C", 0, 0, 0, 7.5, 0, 13 ],
["D", 0, 0, 0, 0, 0, 1.6 ],
["E", 0, 0, 0, 0, 0, -4 ],
["F", 0, 0, 0, 0, 0, 0 ]]
rosmontis.renderGraphMatrix(graph=g, graphName="example4", weighted=True, directed=True)
See more examples in the examples/ folder.
