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  • 02_Using_Bundled_Python_Packages
  • 05_Data_Manipulation_Using_Pandas_and_PyArrow
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Data Manipulation Using Pandas and PyArrow

Python Python Script PyArrow Pandas Data manipulation
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This workflow demonstrates the usage of python package pandas and pyarrow for data manipulation. The KNIME Table is read as pandas dataframe in the first branch of the workflow in the Python Script node, while it is read as a PyArrow table in the second branch in the Python Script node. Further the data is normalised using the python commands of the respective python packages.

External resources

  • KNIME Python API Documentation
  • Data Transfer between KNIME and Python Just Got Faster
  • KNIME Python Integration Guide

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    KNIME profile image
    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    KNIME profile image
    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    KNIME profile image
    knime
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