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Reporting Data with Jupyter Notebooks

Last Modified: February 14, 2020

Develop interactive reports with Jupyter notebooks. Use the reports to visualize and analyze your test and measurement data and asset management.

When you install Jupyter Notebook for SystemLink, predefined Jupyter notebooks (.ipynb) install on your server. The Jupyter notebooks contain Python code and instructions for leveraging the SystemLink Python APIs to obtain, analyze, and process data. When you execute notebooks in JupyterHub, Test Monitor, or Asset Manager, the notebooks communicate the results as graphical reports in the environment you executed them.

Depending on your reporting goal(s), complete any of the following tasks.
Goal Task
Modify installed Jupyter notebooks (.ipynb) to obtain data important to my team. Customize test execution and asset reports in JupyterHub.
Create and document my own Jupyter notebook from scratch. Create a new Jupyter notebook and use the SystemLink Python APIs to develop your own report or analysis.
Visualize graphical reports to quickly consume important information about my data Generate graphical reports in Test Monitor and Asset Manager.
Visualize reports on my dashboard Bind test or asset notebook sources to display the report data on dashboards.
To learn about JupyterHub or Jupyter Notebooks, NI recommends you refer to Jupyter.org for more information.

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