How to remove outliers from Seaborn boxplot charts
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.
Boxplot with outliers
Let’s start with plotting the data I already have.
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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.
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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.
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sb.boxplot(x = 'Value', data = with_merged, flierprops = dict(markerfacecolor = '0.50', markersize = 2))

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Bartosz Mikulski
- MLOps engineer by day
- AI and data engineering consultant by night
- Python and data engineering trainer
- Conference speaker
- Contributed a chapter to the book "97 Things Every Data Engineer Should Know"
- Twitter: @mikulskibartosz
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