search-api-notebook
Jupyter notebooks for demonstrating and utilizing the Planetary Data System (PDS) Search API
Science Score: 26.0%
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Low similarity (14.7%) to scientific vocabulary
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Repository
Jupyter notebooks for demonstrating and utilizing the Planetary Data System (PDS) Search API
Basic Info
Statistics
- Stars: 3
- Watchers: 7
- Forks: 5
- Open Issues: 8
- Releases: 0
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Metadata Files
README.md
Planetary Data System API Notebook
This repository contains example JupyterLab notebooks for the application programmer's interface (API) of the Planetary Data System. You can incorporate these into your existing JupiyterLab notebooks for the plotting and exhibition of planetary and other scientific data, and use them as springboards for new notebooks. You can also run these notebooks directly on any Python-capable computer with a web browser.
🖥 Prerequisites
To run these notebooks locally, you'll need Python 3.7 or later as well as a web browser.
🏃♀️ Getting Started
Run the following commands from a terminal and your default web browser should launch:
console
$ # Create a virtual Python environment to isolate Jupyter and PDS dependencies
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install --upgrade --quiet pip
$ # Install the dependencies
$ pip install --requirement requirements.txt
$ # Start it up
$ jupyter-lab
At this point you'll have a locally running JupyterLab server and your browser opened to it. (If not, point your browser to http://localhost:8888/lab).
From here, you can try out the PDS API notebooks in the /notebooks/ folder in the file tree on the left side:
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ovirscontains demonstration notebooks for the OSIRIS-REx Visible and InfraRed Spectrometer, OVIRS. Within this folder are two sub-folders with the actual demonstration notebooks:-
part1has the notebookexplore-a-collection.ipynbthat shows how to get a get and explore a data collection with the API. -
part2has a notebookfind-data-standalone.ipynbthat extracts a specific data collection subset. A demo video of this notebook is available.
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galileo magnetometerexhibits using PDS data in WWT via the PDS API. Run the following commands to configure your notebook to run pyWWT.
console
$ jupyter labextension install --no-build @jupyter-widgets/jupyterlab-manager
$ jupyter labextension install --no-build @wwtelescope/jupyterlab
$ jupyter lab build
$ # To start up
$ jupyter-lab
Note that to interact with the pyWWT window, you must open a new tab in the jupyter notebook and select the AAS WorldWide Telescope icon. For further instructions and troubleshooting, see the pyWWT installation page.
👥 Contributing
Within the NASA Planetary Data System, we value the health of our community as much as the code. Towards that end, we ask that you read and practice what's described in these documents:
- Our contributor's guide delineates the kinds of contributions we accept.
- Our code of conduct outlines the standards of behavior we practice and expect by everyone who participates with our software.
📃 License
The project is licensed under the Apache version 2 license.
Owner
- Name: NASA Planetary Data System Software
- Login: NASA-PDS
- Kind: organization
- Email: pds-operator@jpl.nasa.gov
- Website: https://nasa-pds.github.io/
- Repositories: 106
- Profile: https://github.com/NASA-PDS
GitHub Events
Total
- Issues event: 6
- Watch event: 1
- Issue comment event: 18
- Push event: 21
- Pull request review comment event: 10
- Pull request review event: 21
- Pull request event: 13
- Fork event: 3
- Create event: 8
Last Year
- Issues event: 6
- Watch event: 1
- Issue comment event: 18
- Push event: 21
- Pull request review comment event: 10
- Pull request review event: 21
- Pull request event: 13
- Fork event: 3
- Create event: 8
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 18
- Total pull requests: 58
- Average time to close issues: 4 months
- Average time to close pull requests: about 2 months
- Total issue authors: 3
- Total pull request authors: 6
- Average comments per issue: 2.5
- Average comments per pull request: 1.09
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 42
Past Year
- Issues: 2
- Pull requests: 1
- Average time to close issues: 9 days
- Average time to close pull requests: 8 days
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- tloubrieu-jpl (7)
- jordanpadams (7)
- joaq-ram (3)
Pull Request Authors
- dependabot[bot] (70)
- tloubrieu-jpl (12)
- joaq-ram (3)
- nutjob4life (2)
- collinss-jpl (2)
- jordanpadams (2)
- al-niessner (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- astropy ==4.2
- ipywidgets ==7.6.3
- jupyterlab ==3.0.17
- matplotlib ==3.3.4
- pds.api-client ==0.5.0
- tqdm ==4.59.0
- actions/checkout v4 composite
- actions/upload-artifact v3 composite
- github/codeql-action/analyze v2 composite
- github/codeql-action/autobuild v2 composite
- github/codeql-action/init v2 composite