Example Jupyter Notebooks - Exploring Data Products
Content Migration
WARNING: This page has been deprecated and the content migrated to JWST Pipeline Notebooks. Please update your links accordingly.
JWST data products contain metadata that can be accessed via Python code. Example code, in the form of Jupyter notebooks, to extract and explore the information stored in JWST data products is provided in this article. These Jupyter notebooks have been created in the context of the JWebbinars.
Words in bold are GUI menus/
panels or data software packages;
bold italics are buttons in GUI
tools or package parameters.
Notebook (in PDF and Github) | Content | Video demonstration (when available) |
---|---|---|
Using an uncalibrated (raw) JWST exposure:
| ||
Using JWST datamodels:
| ||
Using the final data products from the pipeline:
|
These notebooks have been written using version 1.1.0 of the JWST Science Calibration Pipeline.