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07_​Visualisation_​with_​Python_​View_​using_​Matplotlib_​Seaborn_​package

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, seaborn and many more are supported by this node. The node comes with a bundled environment, which means the users can generate matplotlib and seaborn based visualisations in KNIME even without custom installation of Python

Adopting Python Bundled Packages : Download and open this workflow to auto-install requirements and execute the Python scripts. This workflow uses the Python View nodefrom KNIME Python Integration, which installs Python and a number of pre-defined packages on your system. Supported on KNIMEAnalytics Platform 4.7 or higher. Configure the Python View node for visualisationsThe Python View node can be provide with a table or an object as input portand it generates a view which can output be exported using an imageoutput port based on the user's choiceStep 1: Drag the Python View node to KNIME Analytics PlatformStep 2: Write a visualisation Python snippet using Matplotlib or Seabornpackage in the "Script" tab.Step 3: Press "execute script" to check if the execution was successful. Iris FlowerdatasetGrouped bar ChartPairplotswith Seaborn PackageMeanPetal lengthandSepal length CSV Reader Python View Column Filter Python View GroupBy Adopting Python Bundled Packages : Download and open this workflow to auto-install requirements and execute the Python scripts. This workflow uses the Python View nodefrom KNIME Python Integration, which installs Python and a number of pre-defined packages on your system. Supported on KNIMEAnalytics Platform 4.7 or higher. Configure the Python View node for visualisationsThe Python View node can be provide with a table or an object as input portand it generates a view which can output be exported using an imageoutput port based on the user's choiceStep 1: Drag the Python View node to KNIME Analytics PlatformStep 2: Write a visualisation Python snippet using Matplotlib or Seabornpackage in the "Script" tab.Step 3: Press "execute script" to check if the execution was successful. Iris FlowerdatasetGrouped bar ChartPairplotswith Seaborn PackageMeanPetal lengthandSepal length CSV Reader Python View Column Filter Python View GroupBy

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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: Mahantesh Pattadkal
Created at: 2022-12-08
On NodePit since: 2023-12-14
Last update: 2024-05-03
Created with KNIME version: v4.7.0
Tags: PythonPython ViewPython ScriptMatplotlibSeabornVisualisation

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