Description:
outlierplotting 0.2.1
outlier_plotting
More graceful handling of outliers in plots. Currently supports most of seaborn categorical scatter, distributional and estimate plots.
Functionality
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.
Example
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.show()
plt.title('With Outlier Handling')
handle_outliers(data=df, y = 'type', x='value', plotter=sns.boxplot)
plt.show()
For more examples, see examples.ipynb.
Installation
conda
conda env create -f environment.yml
##PyPI
pip install outlier-plotting
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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