How to give sns.clustermap a precomputed distance matrix in Matplotlib?

To give sns.clustermap a dataset, we can take the following steps −

• Set multiple theme parameters in one step.

• Load an example dataset from the online repository (requires Internet).

• Return item and drop from the frame. Raise KeyError if not found, using pop() method.

• Plot a matrix dataset as a hierarchically-clustered heatmap using clustermap() method.

• To display the figure, use show() method.

Example

from matplotlib import pyplot as plt import seaborn as sns plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True sns.set_theme(color_codes=True) iris = sns.load_dataset("iris") species = iris.pop("species") g = sns.clustermap(iris) plt.show()

Output