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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
Updated on: 12-May-2021
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