Clustermap - Seaborn

python

import seaborn as sns
sns.set_theme()

python

iris = sns.load_dataset("iris")
species = iris.pop("species")
sns.clustermap(iris)

python

sns.clustermap(
    iris,
    figsize=(7, 5),
    row_cluster=False,
    dendrogram_ratio=(.1, .2),
    cbar_pos=(0, .2, .03, .4)
)

python

lut = dict(zip(species.unique(), "rbg"))
row_colors = species.map(lut)
sns.clustermap(iris, row_colors=row_colors)

python

sns.clustermap(iris, cmap="mako", vmin=0, vmax=10)

python

sns.clustermap(iris, metric="correlation", method="single")

python

sns.clustermap(iris, standard_scale=1)

python

sns.clustermap(iris, z_score=0, cmap="vlag", center=0)