https://github.com/anras5/hasse-diagram
Plot Finite Partially Ordered Sets in Python
https://github.com/anras5/hasse-diagram
algorithms graphs mcda pypi python
Last synced: 10 months ago
JSON representation
Plot Finite Partially Ordered Sets in Python
- Host: GitHub
- URL: https://github.com/anras5/hasse-diagram
- Owner: anras5
- Created: 2024-06-18T19:21:29.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2025-05-11T17:50:27.000Z (about 1 year ago)
- Last Synced: 2025-05-11T18:35:04.761Z (about 1 year ago)
- Topics: algorithms, graphs, mcda, pypi, python
- Language: Python
- Homepage: https://pypi.org/project/hasse-diagram/
- Size: 39.1 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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
```python
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
```python
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](https://github.com/kciomek/hasseDiagram)