scipy.cluster.hierarchy.
leaves_list#
- scipy.cluster.hierarchy.leaves_list(Z)[source]#
- Return a list of leaf node ids. - The return corresponds to the observation vector index as it appears in the tree from left to right. Z is a linkage matrix. - Parameters:
- Zndarray
- The hierarchical clustering encoded as a matrix. Z is a linkage matrix. See - linkagefor more information.
 
- Returns:
- leaves_listndarray
- The list of leaf node ids. 
 
 - See also - dendrogram
- for information about dendrogram structure. 
 - Examples - >>> from scipy.cluster.hierarchy import ward, dendrogram, leaves_list >>> from scipy.spatial.distance import pdist >>> from matplotlib import pyplot as plt - >>> X = [[0, 0], [0, 1], [1, 0], ... [0, 4], [0, 3], [1, 4], ... [4, 0], [3, 0], [4, 1], ... [4, 4], [3, 4], [4, 3]] - >>> Z = ward(pdist(X)) - The linkage matrix - Zrepresents a dendrogram, that is, a tree that encodes the structure of the clustering performed.- scipy.cluster.hierarchy.leaves_listshows the mapping between indices in the- Xdataset and leaves in the dendrogram:- >>> leaves_list(Z) array([ 2, 0, 1, 5, 3, 4, 8, 6, 7, 11, 9, 10], dtype=int32) - >>> fig = plt.figure(figsize=(25, 10)) >>> dn = dendrogram(Z) >>> plt.show() 