ECDF plot, aka, Empirical Cumulative Density Function plot is one of the ways to visualize one or more distributions.

In this post, we will learn how to make ECDF plot using Seaborn in Python. Till recently, there was no out of the box function to make ECDF plot easily in Seaborn. With the Seaborn version 0.11.0 that became available we have function ecdfplot to make ECDF plot.

The ECDF plot has two key advantages. Unlike the histogram or KDE, it directly represents each datapoint. That means there is no bin size or smoothing parameter to consider. Additionally, because the curve is monotonically increasing, it is well-suited for comparing multiple distributions:

With the new Seaborn version we have two functions available to make ECDF plot. We will first use ecdfplot() function in Seaborn to ECDF plot and then also use Seaborn’s displot() function to ECDF plot. Let us load the libraries needed for making ECDF plot.

#ecdf plot #python #seaborn displot() #seaborn ecdfplot() #seaborn