Conda Environment Propagation
This node ensures the existence of a specific configurable Conda environment and propagates the environment to Python, R, or other Conda-aware downstream nodes. This is useful to make workflows that … Learn more
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Getting started with KNIME's Python integration
The KNIME Python Integration allows you to run Python scripts inside KNIME workflows seamlessly. This allows you to tap into the vast ecosystem of Python data analysis tools and leverage Python-based data visualizations. Browse this collection to get an overview of the Python script nodes and examples how they can be used.
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Python script nodes
Use the Python Script node to manipulate KNIME tables or the Python View node to generate visualizations using Python libraries.
To simplify the setup, the KNIME Python Integration includes a Python installation that contains commonly used Python libraries. However, if needed, the Conda Environment Propagation node can take care of deploying custom Python environments when sharing Python scripts in KNIME workflows or components with others.
Workflow examples
Below, find examples for the most common use cases of Python scripts in KNIME. They are ordered by complexity, from simple use cases to sharing Python scripts that require custom environments.
Getting Started
The workflows will help you understand how to add/remove various input and output ports and access the input table or objects.
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This workflow shows how to write a Pandas DataFrame or a PyArrow Table as a KNIME table using the Python Script node. After writi…
knime > Python Script Space > 01_Getting_Started > 02_Output_Data_Tables
1
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This workflow demonstrates how to use the Python Script node to load an existing pickle object in the workflow data area and tran…
knime > Python Script Space > 01_Getting_Started > 03_Input_Output_Objects
0
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This workflow shows how to use the Python Visualization packages to output images using the Python Script node. In this workflow,…
knime > Python Script Space > 01_Getting_Started > 04_Image_Output
4
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This workflow shows how to pass a flow variable to the Python Script node and then use it in the script. In this workflow, a tabl…
knime > Python Script Space > 01_Getting_Started > 05_Input_Output_Flow_Variables
1
Using Bundled Python Packages
The workflows demonstrate the usage of bundled packages like NumPy, pandas, scikit-learn etc.
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This workflow demonstrates the usage of Python Seaborn library in Python Script for visualisation. The popular correlation matrix…
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 01_Visualize_Correlation_Matrix_using_Seaborn_Package
2
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This workflow demonstrates creating overlaying plots using matplotlib python package in Python Script node. In this example, a hi…
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 02_Create_Overlaying_Plots_using_Matplotlib_package
0
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This workflow demonstrates the use of matplotlib library to visualise subplots using Python Script node. The subplots created in …
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 03_Visualizing_Subplots_using_Matplotlib_package
1
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This workflow demonstrates the usage of Python Numpy package for matrix multiplication using Python Script node. The data is read…
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 04_Matrix_Multiplication_using_Numpy_Arrays
1
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This workflow demonstrates the usage of python package pandas and pyarrow for data manipulation. The KNIME Table is read as panda…
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 05_Data_Manipulation_Using_Pandas_and_PyArrow
0
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This workflow shows how to read the data in as KNIME tables and perform various data manipulations and transformations. Further a…
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 06_Train_Machine_Learning_Model_using_Scikit-learn_package
0
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Workflow
Visualise with Python View using Matplotlib and Seaborn package
This workflow shows how to create visulisation using the Python View node. Python packages for visualisations like Matplotlib, se…
knime > Python Script Space > 02_Using_Bundled_Python_Packages > 07_Visualisation_with_Python_View_using_Matplotlib_Seaborn_package
0
Using Custom Python Packages
The workflows demonstrate the usage of other python packages that are unavailable in the bundled environment and custom-defined python classes.
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This worklow demonstrates the usage of geopy python package for distance calculation given the GPS coordinates. The Python Script…
knime > Python Script Space > 03_Using_Custom_Python_Packages > 01_Geo_Distance_Calculation_using_GeoPy_package
0
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This worklow demonstrates the usage of netwokx python package for graph creation and network visualisation. The Python Script nod…
knime > Python Script Space > 03_Using_Custom_Python_Packages > 02_Graph_Creation_and_Visualisation_using_Networkx_package
0
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Workflow
Include Python Custom Class defined by user inside KNIME Workflow
This workflow showcases the usage of custom class inside KNIME. The user has to define the custom python class in a (.py) file an…
knime > Python Script Space > 03_Using_Custom_Python_Packages > 03_Include_Custom_Python_Class_in_Workflow
0
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Workflow
Interactive Scatter Plot Visualisation with Python View node using Plotly package
This workflow is built to showcase the usage of Python View node that can be used to generate interactive view. The workflow trai…
knime > Python Script Space > 03_Using_Custom_Python_Packages > 04_Interactive_Scatter_Plot_Visualisation_with_Python_View_node_using_Plotly_package
0
Sharing Python Scripts in Components
The workflows showcase the creation of Scripted Components with Python.
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This worklow demonstrates the creation of Geo Distance Component that uses geopy python package for distance calculation given th…
knime > Python Script Space > 04_Sharing_Python_Scripts_in_Components > Sharing_Component_with_Custom_Python_Packages
1
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Workflow
Sharing Component with Interactive Visualisation using Python view node with Plotly package
This workflow is built to showcase the Component that uses Python View node to generate interactive view. The component trains a …
knime > Python Script Space > 04_Sharing_Python_Scripts_in_Components > Sharing_Component_with_Interactive_Visualisation_with_Python_view_node
0
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Workflow
Sharing Component with Bundled Python Packages (kNN Regression)
This workflow demonstrates the process of Scripted Component creation. In this example, a Component is created for kNN Regression…
knime > Python Script Space > 04_Sharing_Python_Scripts_in_Components > Sharing_Components_with_Bundled_Python_packages
0
Jupyter Notebook
The workflow demonstrates the usage of Jupyter Notebook inside the KNIME workflow
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This Workflow showcases how the Jupyter Notebooks can be integrated in KNIME. The Jupyter Notebook is responsible for feature tra…
knime > Python Script Space > 05_Jupyter_Notebook > 01_Run_Jupyter_Notebook_in_KNIME
0
Blog posts
Read our blog posts to find more information around various topics of using the KNIME Python Integration
Developing KNIME nodes in Python
To make Python functionality available to no-code KNIME users there is an alternative to sharing KNIME components – you can develop KNIME nodes directly in Python! See the following links for more details:
Legacy Python 2 script support
If you still need Python 2 support, you can use the KNIME Python 2 Integration (legacy).