Create a Bubble Plot with Seaborn

Posted on By Pythoneo

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

  1. Import Seaborn: First, make sure you have Seaborn installed. You can import it into your Python script with:
import seaborn as sns
import matplotlib.pyplot as plt
  1. Prepare Your Data: Load or prepare your dataset. It should contain the data you want to visualize, including x and y coordinates and a third variable that determines the size of the markers (bubbles).
  1. Create the Bubble Plot: Use the sns.scatterplot function to create the bubble plot. Specify the x and y coordinates, and use the size parameter to map the marker sizes to a third variable:
x = [1, 2, 3, 4, 5]
y = [10, 15, 20, 25, 30]
sizes = [50, 100, 150, 200, 250]  # Marker sizes

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

plt.xlabel('X-axis')
plt.ylabel('Y-axis')
  1. Customize Your Plot: Customize the appearance of your bubble plot by adding labels, adjusting colors, and specifying other formatting options.
  1. Show the Plot: Finally, use plt.show() to display your bubble plot.
See also  Changing Seaborn Lineplot Color

Bubble plots are effective for visualizing the relationships between three variables, where two are represented by the x and y coordinates, and the third is represented by the marker size. You can further enhance your bubble plot with features like color mapping and tooltips to provide more insights into your data.

Seaborn