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# scipy.cluster.hierarchy.to_tree

`scipy.cluster.hierarchy.``to_tree`(Z, rd=False)

  Converts a hierarchical clustering encoded in the matrix `Z` (by linkage) into an easy-to-use tree object.

  The reference r to the root ClusterNode object is returned.

  Each ClusterNode object has a left, right, dist, id, and count attribute. The left and right attributes point to ClusterNode objects that were combined to generate the cluster. If both are None then the ClusterNode object is a leaf node, its count must be 1, and its distance is meaningless but set to 0.

  Note: This function is provided for the convenience of the library user. ClusterNodes are not used as input to any of the functions in this library.

  Parameters: | Z : ndarray The linkage matrix in proper form (see the `linkage` function documentation). rd : bool, optional When False, a reference to the root ClusterNode object is returned. Otherwise, a tuple (r,d) is returned. `r` is a reference to the root node while `d` is a dictionary mapping cluster ids to ClusterNode references. If a cluster id is less than n, then it corresponds to a singleton cluster (leaf node). See `linkage` for more information on the assignment of cluster ids to clusters.
  Returns: | L : list The pre-order traversal.