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# scipy.spatial.cKDTree.sparse_distance_matrix

`cKDTree.``sparse_distance_matrix`(self, other, max_distance, p=2.)

  Compute a sparse distance matrix

  Computes a distance matrix between two KDTrees, leaving as zero any distance greater than max_distance.

  Parameters: | other : cKDTree max_distance : positive float p : float, 1<=p<=infinity Which Minkowski p-norm to use.
  Returns: | result : dok_matrix Sparse matrix representing the results in “dictionary of keys” format. FIXME: Internally, built as a COO matrix, it would be more efficient to return this COO matrix.