Ridgeline plots are great to visualize numerical distributions corresponding to multiple groups or categorical variables. Ridgeline plots make density plots or histograms for each group one on top of each other and thus making it look like "a mountain range". They are great for … [Read more...] about How To Make Ridgeline plot in Python with Seaborn?
Seaborn
How To Make Grouped Boxplot with Seaborn Catplot?
When you have a multiple groups and subgroups within each groups with associated numerical values, we can use Grouped boxplots to visualize. With Seaborn we can make grouped boxplots using boxplot() function and much newer function Catplot(). Seaborn Catplot is a function that … [Read more...] about How To Make Grouped Boxplot with Seaborn Catplot?
How To Manually Order Boxplot in Seaborn?
In this post we will learn how to manually sort boxes in boxplot when using Seaborn's boxplot function in Python. Earlier we saw how to order a boxplot in Python by another variable, for example we ordered boxplot by mean/median using Seaborn. Sometimes, you may already know … [Read more...] about How To Manually Order Boxplot in Seaborn?
How to Make Horizontal Violin Plot with Seaborn in Python?
In this tutorial, we will learn how to make horizontal violin plot in Seaborn with Python. With Seaborn, we can use two similar functions, catplot() and violinplot() to make violin plots. Making a violinplot horizontal with Seaborn is pretty simple. All we need to do is specify … [Read more...] about How to Make Horizontal Violin Plot with Seaborn in Python?
Scatter Plot with Marginal Histograms in Python with Seaborn
Sometimes when you make a scatter plot between two variables, it is also useful to have the distributions of each of the variables on the side as histograms. Scatter plots with marginal histograms on the side is a great way to do that. We can use Seaborn jointplot() function in … [Read more...] about Scatter Plot with Marginal Histograms in Python with Seaborn