pyfca
https://github.com/pyfca/pyfca
Python Formal Concept Analysis (FCA).
The purpose is to collect algoritms for FCA.
Algorithms
So far:
lattice construction:
AddIntent
implications basis:
Koenig
lattice drawing:
create lattice diagram and output in
svg
tkinter
Plan
Create a basic lattice data structure:
Merge existing sources available online.
Lattice construction:
FCbO
InClose2
…
Implications basis:
Closure
LinClosure
Wild’s Closure
…
Usage
It can be used to create a concept lattice and to draw it either using tkinter() or svg().
import pyfca
fca = pyfca.Lattice([{1,2},{2},{1,3}])
diagram = pyfca.LatticeDiagram(fca,4*297,4*210)
diagram.svg().saveas('tmp.svg')
import cairosvg
cairosvg.svg2png(url="file:///<path to tmp.svg>", write_to='tmp.png')
The AddIntent algorithm is from the paper:
AddIntent: A New Incremental Algorithm for Constructing Concept Lattices
The lattice drawing algorithm is from:
Implications
This uses the python int as a bit field to store the FCA context.
See this blog for more.
Metadata
Release files for pyfca 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfca-0.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Release files / pyfca-0.3.3-py3-none-any.whl
| Download URL | pyfca-0.3.3-py3-none-any.whl |
|---|---|
| Size | 13.2 kB |
| Tags | Python 3 |
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