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Python View Example

KDE Plot Seaborn Python
Markus Lauber profile image

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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. please also see the Jupyter notebook in the sub-folder: /script/kn_forum_37957_python_view_example.ipynb Requirements: - KNIME Python Integration - seaborn package (how to install: https://seaborn.pydata.org/installing.html)

External resources

  • forum entry
  • Meta Collection about KNIME and Python
  • Basic Analysis of the Iris Data set Using Python

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

    knime
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    KNIME SVG Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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