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.
Workflow
Data Manipulation Using Pandas and PyArrow
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.7.0
- Go to item
- Go to item
- Go to item
Legal
By using or downloading the workflow, you agree to our terms and conditions.