To label and change the scale of a Seaborn kdeplot's axes, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create random data points using numpy.
- Plot Kernel Density Estimate (KDE) using kdeplot() method.
- Set Y-axis tscale and label.
- To display the figure, use show() method.
Example
import numpy as np import seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.randn(10) k = sns.kdeplot(x=data, shade=True) plt.yticks(k.get_yticks(), k.get_yticks()) plt.ylabel('Y', fontsize=7) plt.show()