Seaborn

data visualization

Links

Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn integrates closely with Pandas data structures and offers a variety of plot types, including scatter plots, box plots, violin plots, and heatmaps, making it a powerful tool for exploratory data analysis.

oaicite:0

---

Usage Example

Here’s an example of using Seaborn to create a scatter plot:

import seaborn as sns
import matplotlib.pyplot as plt

# Load an example dataset
tips = sns.load_dataset("tips")

# Create a scatter plot
sns.scatterplot(data=tips, x="total_bill", y="tip", hue="time")

# Show the plot
plt.show()

In this example, Seaborn is used to load the ‘tips’ dataset and create a scatter plot of total bill amounts versus tips, with points colored based on the time of day (Lunch or Dinner).