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Python View Example

This workflow shows how to create complex plots using your favorite python package. In this example, seaborn python package is used to create a 2D kernel density estimate (KDE) plot.

Requirements:
- KNIME Python Integration
- seaborn package
How to install: https://seaborn.pydata.org/installing.html

Python View ExampleThis workflow shows how to create complex plots using your favorite python package. In this example, seaborn python package is used to create a 2D kernel density estimate (KDE) plot.Requirements:- KNIME Python Integration- seaborn package (how to install: https://seaborn.pydata.org/installing.html) kde plotusing seaborn packageload Iris datasetNode 2397Python View Python Source Excel SheetAppender (XLS) Python View ExampleThis workflow shows how to create complex plots using your favorite python package. In this example, seaborn python package is used to create a 2D kernel density estimate (KDE) plot.Requirements:- KNIME Python Integration- seaborn package (how to install: https://seaborn.pydata.org/installing.html) kde plotusing seaborn packageload Iris datasetNode 2397Python View Python Source Excel SheetAppender (XLS)

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: dadi
Created at: 2021-05-18
On NodePit since: 2022-02-06
Last update: 2026-01-07
Created with KNIME version: v4.2.5
Tags: KDE Plotseabornpython

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