How to adjust the branch lengths of a dendrogram in Matplotlib?

To adjust the branch length of a dendrogram in Matplotlib, we can take the following steps −

• Set the figure size and adjust the padding between and around the subplots.

• Draw random samples (a and b) from a multivariate normal distribution.

• Join a sequence of arrays along an existing axis, using concatenate() method.

• Perform hierarchical/agglomerative clustering.

• Create a new figure or activate an existing figure using figure() method.

• Add an axes to the figure as part of a subplot arrangement.

• Plot the hierarchical clustering as a dendrogram using dendrogram() method.

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

Example

from matplotlib import pyplot as plt from scipy.cluster.hierarchy import dendrogram, linkage import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True a = np.random.multivariate_normal([0, 10], [[3, 1], [1, 4]], size=[2, ]) b = np.random.multivariate_normal([0, 10], [[3, 1], [1, 4]], size=[3, ]) X = np.concatenate((a, b), ) Z = linkage(X) fig = plt.figure() ax = fig.add_subplot(1, 1, 1) dendrogram(Z, ax=ax) plt.show()

Output