A boxen plot is another plot to view distribution and summary statistics. The plot creates more quantiles when compared to a simple box plot. These extra quantiles allow for more detail over the distribution. In this article, we will learn how to create a Boxen Plot in Seaborn.
To create a Boxen Plot we use the
boxenplot method and pass a list of data to the x named parameter. The example below creates a boxen plot using a list of bill totals.
import seaborn as sns tips = sns.load_dataset("tips") sns.boxenplot(x = tips["total_bill"])
We can also create boxen plots groupped by a category. To do this, we specify a category to the x named parameter and the continous variable to the y named parameter. In the example below we displat the distribution of bill totals groupped by day.
import seaborn as sns tips = sns.load_dataset("tips") sns.boxenplot(x = "day", y = "total_bill", data = tips)