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More graceful handling of outliers in plots

Project description


More graceful handling of outliers in plots. Currently supports most of seaborn categorical scatter, distributional and estimate plots.


handle_outliers remove outliers from the plot and show them as text boxes. It can be used with most seaborn plotting function that works with long-form data as well as kdeplot.

Notable exceptions are:

  • countplot
  • lineplot
  • scatterplot

Please not that only inliers are passed into the plotting function, consequently density estimates and functionals are only computed on that subset and not representative of the whole data.


from outlier_plotting.sns import handle_outliers
import seaborn as sns
from matplotlib import pyplot as plt

plt.title('Showing Outliers')
sns.boxplot(data=df, y = 'type', x='value')

plt.title('With Outlier Handling')
handle_outliers(data=df, y = 'type', x='value', plotter=sns.boxplot)



For more examples, see examples.ipynb.



conda env create -f environment.yml


pip install outlier-plotting

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