multidim.SimplicialComplex.from_distances

classmethod SimplicialComplex.from_distances(dists, max_length=-1.0, points=None)

Construct a SimplicialComplex from a symmetric matrix of distances.

Parameters:

dists : numpy.ndarray

An N-by-N symmetric array, with 0s on the diagonal, as obtained from scipy.spatial.distances.squareform()

max_length : float

If max_length >= 0, store only those edges of length less than max_length. Default: -1, store all edges.

points : pandas.DataFrame

A fully-formed DataFrame of point information for stratum[0]. But, if you have that info, you probably want to use PointCloud instead.

Returns:

`SimplicialComplex`