Create a Bubble Plot with Seaborn

You will learn how to create a bubble chart in Seaborn.

  1. Import Seaborn: Begin by ensuring Seaborn is installed and import it into your Python script alongside Matplotlib:
import seaborn as sns
import matplotlib.pyplot as plt
  1. Prepare Your Data: Your dataset should include variables for x and y coordinates and a third variable to determine bubble sizes.
  1. Create the Bubble Plot: Utilize sns.scatterplot to visualize your data, specifying the x and y values while employing the size parameter to dictate the bubble sizes:
x = [1, 2, 3, 4, 5]
y = [10, 15, 20, 25, 30]
sizes = [50, 100, 150, 200, 250]  # Determines the diameter of each bubble

sns.scatterplot(x=x, y=y, size=sizes, sizes=(50, 250))

plt.xlabel('X-axis')
plt.ylabel('Y-axis')
  1. Customize Your Plot: Refine your bubble plot by adding descriptive labels, customizing colors, and applying additional formatting options for a polished look.
  1. Show the Plot: Display your bubble plot with plt.show().

Bubble plots are useful for visualizing the relationships among three variables, with the third variable represented by bubble size. Enhancements like color mapping and tooltips can provide additional data insights.

See also  Diverging Color Palettes in Seaborn