Changing the color and marker of each point using Seaborn jointplot

MatplotlibPythonData Visualization

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.


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)


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)


Updated on 03-Jun-2021 12:38:49