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Python implementation persistent images representation of persistence diagrams.

Project description

Build Status codecov License: MIT


Persim is a Python implementation of Persistence Images as first introduced in

It is designed to interface with Ripser, though any persistence diagram should work fine.


Currently, the only option is to install the library from source:

pip install persim


First, construct a diagram. In this example, we will use Ripser.

import numpy as np
from ripser import Rips

data = np.random.random((100,2))
rips = Rips()
dgm = rips.fit_transform(data)
diagram = dgm[1] # Just diagram for H1

Then from this diagram, we construct the persistence image

from persim import PersImage

pim = PersImage(diagram)
img = pim.transform()


  • The API needs a little work, not quite sklearn compliant. Please do offer any suggestions.
  • Implement more varieties of weighting and kernel functions.
  • Build tests.

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