Prerequisite: Seaborn Programming Basics
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps resolve the two major issues while working with Matplotlib:
- Default Matplotlib parameters
- Working with data frames
As Seaborn compliments and enhances Matplotlib, the learning curve is quite gradual. If you are familiar with Matplotlib, you are already halfway done with Seaborn.
seaborn.pairplot() :
To plot multiple pairwise bivariate distributions in a dataset, you can use the .pairplot() function.
The diagonal plots are the univariate plots, and this displays the relationship for the (n, 2) combination of variables in a DataFrame as a matrix of plots.
seaborn.pairplot( data, \*\*kwargs )
Seaborn.pairplot uses many arguments as input, main of which are described below in form of table:
| Arguments | Description | Value |
| data | Tidy (long-form) dataframe where each column is a variable, and each row is an observation. | DataFrame |
| hue | Variable in “data“ to map plot aspects to different colors. | string (variable name), optional |
| palette | Set of colors for mapping the “hue“ variable. In case of a dict, the keys should be values in the “hue“ variable. vars: list of variable names, optional | dict or seaborn color palette |
| {x, y}_vars | Variables within “data“ to use separately for the rows and columns of the figure, i.e., to make a non-square plot. | lists of variable names, optional |
| dropna | Drop missing values from the data before plotting. | boolean, optional |
Below is the implementation of above method:
Example 1:
Python3
# importing packagesimport seabornimport matplotlib.pyplot as plt############# Main Section ############# loading dataset using seaborndf = seaborn.load_dataset('tips')# pairplot with hue sexseaborn.pairplot(df, hue ='sex')# to showplt.show()# This code is contributed by Deepanshu Rustagi. |
Output :
Example 2:
Python3
# importing packagesimport seabornimport matplotlib.pyplot as plt############# Main Section ############# loading dataset using seaborndf = seaborn.load_dataset('tips')# pairplot with hue dayseaborn.pairplot(df, hue ='day')# to showplt.show()# This code is contributed by Deepanshu Rustagi. |
Output :
