Changing the color and marker of each point using Seaborn jointplot

To change the color and marker of each point using Seaborn jointplot, we can take the following steps −

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

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

• Use jointplot() method to plot tips data.

• Use cla() method to clear the current axes.

• Make a list of colors and markers for each point.

• Set the axes labels using set_axis_labels() method.

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

Example

from matplotlib import pyplot as plt import seaborn as sns import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True tips = sns.load_dataset("tips") g = sns.jointplot("total_bill", "tip", data=tips, height=4.50) g.ax_joint.cla() colors = np.random.random((len(tips), 3)) markers = ['v', '^', '<', '*', 'o'] * 100 for i, row in enumerate(tips.values):    g.ax_joint.plot(row[0], row[1], color=colors[i], marker=markers[i]) g.set_axis_labels('total bill', 'tip', fontsize=10) plt.show()

Output