Python Graphics - BoxPlot and ViolinPlot with Statistics

Combined Violin–Boxplot Visualization with Statistical Summary and Custom Graphic Annotations

https://forum.knime.com/t/box-plot-resorting-x-axis-based-on-condition/90706/2?u=mlauber71

KNIME and Python — Setting up and managing Conda environments

https://medium.com/p/2ac217792539

Exploring the Power of Python Graphics with KNIME: A Collection of Examples

https://medium.com/p/841df87b5563

This Python Script for a KNIME node generates a combined violin + boxplot visualization for a selected categorical (x-axis) and numerical (y-axis) variable. It automatically computes detailed statistics per category (count, mean, median, quartiles, whiskers, min/max) and outputs them as a second KNIME data table.

The graphic is fully customizable via KNIME flow variables, including:

• Selection of x and y columns

• Sorting of categories (alphabetical or by count)

• Text scaling factor

• A custom title and footnote

• An automatically appended UTC timestamp

The final figure is exported as a PNG image to an image output port.

This script is ideal for exploratory data analysis, audit-ready reporting, comparisons across categories, or reusable KNIME components that create standardized statistical graphics.