Love it or hate it, barplots are often useful in a quick exploratory data analysis to understand the variables in a dataset. In this post, we will see multiple examples on how to make barplots/countplot using Seaborn’s catplot() function. A couple of years ago Seaborn introduced catplot() function that provides a common framework to make […]
Seaborn
Lesser known Seaborn Tips and Tricks
Want to learn lesser known Seaborn tips and tricks from Micheal Waskom, the developer of Seaborn? Check out his periodical tweets since early this year. Stumbled upon this thread while searching for a specific Seaborn help and worked through some of the tips. Here are a few examples of lesser known Seaborn tips and tricks. […]
Seaborn Version 0.11.0 is here with displot, histplot and ecdfplot
Seaborn, one of the data visualization libraries in Python has a new version, Seaborn version 0.11, with a lot of new updates. One of the biggest changes is that Seaborn now has a beautiful logo. Jokes apart, the new version has a lot of new things to make data visualization better. This is a quick […]
How To Make Lower Triangle Heatmap with Correlation Matrix in Python?
Visualizing data as a heatmap is a great data exploration technique for high dimensional data. Sometimes you would like to visualize the correlation as heatmap instead of the raw data to understand the relationship between the variables in your data. In this post we will see examples of visualizing correlation matrix as a heatmap in […]
Heatmaps with Seaborn’s ClusterMap
Just recently stumbled on to Seaborn’s ClusterMap function for making heatmaps. Till now relied on Seaborn’s heatmap function for making simple heatmaps with Seaborn heatmap() function and using pheatmap package in R for anything bit complex. Seaborn’s Clustermap function is great for making simple heatmaps and hierarchically-clustered heatmaps with dendrograms on both rows and/or columns. […]