Seaborn · Function
clustermap
Create a heatmap that hierarchically clusters the rows and columns of a rectangular dataset. The function can also normalize or standardize one dimension before plotting.
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Syntax
seaborn.clustermap(data, *, pivot_kws=None, method='average', metric='euclidean', z_score=None, standard_scale=None, figsize=(10, 10), cbar_kws=None, row_cluster=True, col_cluster=True, row_linkage=None, col_linkage=None, row_colors=None, col_colors=None, mask=None, dendrogram_ratio=0.2, colors_ratio=0.03, cbar_pos=(0.02, 0.8, 0.05, 0.18), tree_kws=None, **kwargs)In-depth API docs are only for subscribers: parameters, examples, common mistakes and interview practice.
SubscribeRelated
heatmapClusterGridscipy.cluster.hierarchy.linkagescipy.spatial.distance.pdist