How to remove outliers from Seaborn boxplot charts
Data Science

How to remove outliers from Seaborn boxplot charts

Hide outliers when displaying boxplot in Seaborn
Bartosz Mikulski
Bartosz Mikulski – 1 min read

In this article, I am going to show you how to remove outliers from Seaborn boxplots. First, I am going to plot a boxplot without modifications. Then, I will remove all of the outliers. In the end, I am going to restore outliers, but this time I am going to make them less prominent.

Table of Contents

  1. Boxplot with outliers
  2. Boxplot without outliers
  3. Change the outliers style

Boxplot with outliers

Let’s start with plotting the data I already have.

import seaborn as sb

sb.boxplot(x = 'Value', data = with_merged)

Boxplot without outliers

To remove the outliers from the chart, I have to specify the “showfliers” parameter and set it to false.

sb.boxplot(x = 'Value', data = with_merged, showfliers = False)

Change the outliers style

In the next example, I am going to change the size of the outliers markers to make them less distracting for people who look at the chart.

sb.boxplot(x = 'Value', data = with_merged, flierprops = dict(markerfacecolor = '0.50', markersize = 2))
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