hasse-diagram 1.1

Plot Hasse Diagram in Python

Hasse Diagram

This small package helps with plotting Hasse Diagrams and is very useful when presenting results for the MCDA methods.

Installation

pip install hasse-diagram

Example usage

Networkx

import numpy as np
from hassediagram import plot_hasse

data = np.array([
    [0, 1, 1, 1, 1],
    [0, 0, 1, 0, 1],
    [0, 1, 0, 0, 1],
    [0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0]
])
labels = ["node a", "node b", "node c", "node d", "node e"]
plot_hasse(data, labels)

Result:

• Graphviz dotstring

import numpy as np
from hassediagram import hasse_graphviz

data = np.array([
    [0, 1, 1, 1, 1],
    [0, 0, 1, 0, 1],
    [0, 1, 0, 0, 1],
    [0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0]
])
labels = ["node a", "node b", "node c", "node d", "node e"]
print(hasse_graphviz(data, labels))

Result:

digraph {
	graph [bgcolor="#FFFFFF"]
	node [color="#E2E8F0" fontname="Segoe UI" fontsize="15 pt" style=filled]
	edge [arrowhead=vee color=black]
	compound=true
	node1 [label="node a"]
	node2 [label="node b, node c"]
	node3 [label="node d"]
	node4 [label="node e"]
	node1 -> node2
	node1 -> node3
	node2 -> node4
	subgraph cluster_1 {
		rank=same
		peripheries=0
	}
	subgraph cluster_2 {
		rank=same
		node1
		peripheries=0
	}
	subgraph cluster_3 {
		rank=same
		node2
		node3
		peripheries=0
	}
	subgraph cluster_4 {
		rank=same
		node4
		peripheries=0
	}
}

You can optionally turn off the transitive reduction and change the color of nodes and edges.

Testing

pytest --cov=src --cov-report=term-missing

This package is inspired by a similar one for R: hasseDiagram