Hi all, I'm trying to compute the distance between two persistence diagrams calculated from different adjacency matrices.

I compute a persistence diagram from an adjacency matrix as follows:

matrix = x.to_numpy()
matrix = matrix.astype('float64')
VR = VietorisRipsPersistence(metric="precomputed")
ppdd = VR.fit_transform([matrix])[0]
plot_diagram(ppdd)

and I do this for another diagram, ppdd2.

Then I try to compute the distance between the two as follows:

PD = PairwiseDistance(metric='landscape', metric_params=None, order=2.0, n_jobs=None)
X_distance = PD.fit_transform(np.asarray([ppdd, ppdd_2]))

and I get the error: setting an array element with a sequence.

I think this is because each diagram has a different number of points for each homology dimension.

Is there a way to compute a distance between such diagrams?