Updated On : Jan-23,2019 Time Investment : ~12 mins

Seaborn - Working On Visualising Pairwise Relationship

Datasets under real-time study contain many variables. In such cases, the relation between each and every variable should be analyzed. Plotting Bivariate Distribution for (n,2) combinations will be a very complex and time taking process.

To plot multiple pairwise bivariate distributions in a dataset, you can use the pairplot() function. This shows the relationship for (n,2) combination of a variable in a DataFrame as a matrix of plots and the diagonal plots are the univariate plots.

Axes In this section, we will learn what are Axes, their usage, parameters, and so on.




Following table lists down the parameters for Axes −

Sr.No. Parameter & Description

  • Data


  • Hue

Variable in data to map plot aspects to different colors.

  • Palette

Set of colors for mapping the hue variable

  • Kind

Kind of plot for the non-identity relationships. {‘scatter’, ‘reg’}

  • Diag_kind

Kind of plot for the diagonal subplots. {‘hist’, ‘kde’}

Except data, all other parameters are optional. There are few other parameters which pairplot can accept. The above mentioned are often used params.

import pandas as pd
import seaborn as sb
from matplotlib import pyplot as plt
df = sb.load_dataset('iris')
sb.pairplot(df,hue = 'species',diag_kind = "kde",kind = "scatter",palette = "husl")
Dolly Solanki  Dolly Solanki

YouTube Subscribe Comfortable Learning through Video Tutorials?

If you are more comfortable learning through video tutorials then we would recommend that you subscribe to our YouTube channel.

Need Help Stuck Somewhere? Need Help with Coding? Have Doubts About the Topic/Code?

When going through coding examples, it's quite common to have doubts and errors.

If you have doubts about some code examples or are stuck somewhere when trying our code, send us an email at coderzcolumn07@gmail.com. We'll help you or point you in the direction where you can find a solution to your problem.

You can even send us a mail if you are trying something new and need guidance regarding coding. We'll try to respond as soon as possible.

Share Views Want to Share Your Views? Have Any Suggestions?

If you want to

  • provide some suggestions on topic
  • share your views
  • include some details in tutorial
  • suggest some new topics on which we should create tutorials/blogs
Please feel free to contact us at coderzcolumn07@gmail.com. We appreciate and value your feedbacks. You can also support us with a small contribution by clicking DONATE.

Subscribe to Our YouTube Channel

YouTube SubScribe

Newsletter Subscription