seaborn pairplot in python

To create a pairplot using seaborn, you can use the pairplot() function. The pairplot() function takes in a dataset and creates a grid of pairwise relationships between all the variables of the dataset.

Here is an example code snippet:

main.py
import seaborn as sns
import pandas as pd

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

# Create pairplot
sns.pairplot(tips)
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In this example, the load_dataset() function is used to load the tips dataset from the seaborn dataset repository. Then, the pairplot() function is used to create a grid of pairwise relationships between all the variables in the tips dataset.

You can customize the pairplot() with additional parameters such as hue, diag_kind, and markers. For more information, you can refer to the seaborn documentation.