To customize the axis label in a Seaborn jointplot, we can take the following steps
- Set the figure size and adjust the padding between and around the subplots.
- Create x and y data points using numpy.
- Use jointplot() method to plot a joint plot in Seaborn.
- To set the customized axis label, we can use LaTex representation or set_xlabel() method properties.
- To display the figure, use show() method.
Example
import seaborn as sns import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.randn(1000,) y = 0.2 * np.random.randn(1000) + 0.5 h = sns.jointplot(x, y, height=3.50) h.ax_joint.set_xlabel('$\\bf{X-Axis\ Label}$') plt.show()