Skip to main content

Planetary Data Reader

Project description

README.md

The Planetary Data Reader (pdr)

This tool provides a single command---read(‘/path/to/file’)---for ingesting all common planetary data types. It is currently in development. Almost every kind of "primary observational data" product currently archived in the PDS (under PDS3 or PDS4) should be covered eventually. Currently-supported datasets are listed here.

If the software fails while attempting to read from datasets that we have listed as supported, please submit an issue with a link to the file and information about the error (if applicable). There might also be datasets that work but are not listed. We would like to hear about those too. If a dataset is not yet supported that you would like us to consider prioritizing, please fill out this request form.

Attribution

If you use pdr in your work, please cite us using our Zenodo DOI: DOI

Installation

pdr is now on conda and pip. We recommend (and only officially support) installation into a conda environment. You can do this like so:

conda create --name pdrenv
conda activate pdrenv
conda install -c conda-forge pdr

The minimum supported version of Python is 3.9.

Using the conda install will install all dependencies in the environment.yml file (both required and optional) for pdr. If you'd prefer to forego the optional dependencies, please use minimal_environment.yml in your installation. This is not supported through a direct conda install as described above and will reqiore additional steps. Optional dependencies and the added functionality they support are listed below:

  • pvl: allows Data.load("LABEL", as_pvl=True) which will load PDS3 labels as pvl objects rather than plain text
  • astropy: adds support for FITS files
  • jupyter: allows usage of the Example Jupyter Notebook (and other jupyter notebooks you create)
  • pillow: adds support for TIFF files and browse image rendering
  • matplotlib: allows usage of save_sparklines, an experimental browse function

Usage

(You can check out our example Notebook on Binder for a quick interactive demo of functionality: Binder)

Additional information on usage including examples, output data types, notes and caveats, test, etc. can now be accessed in our documentation on readthedocs at: https://pdr.readthedocs.io Documentation Status


This work is supported by NASA grant No. 80NSSC21K0885.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pdr-1.0.4.tar.gz (94.0 kB view details)

Uploaded Source

Built Distribution

pdr-1.0.4-py3-none-any.whl (115.0 kB view details)

Uploaded Python 3

File details

Details for the file pdr-1.0.4.tar.gz.

File metadata

  • Download URL: pdr-1.0.4.tar.gz
  • Upload date:
  • Size: 94.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pdr-1.0.4.tar.gz
Algorithm Hash digest
SHA256 c225aa44758237d68ae59943cc1941101df9590c2a1b08fcb723a8b1b9daaff6
MD5 9603b9b4569c610fafa2ac3933503229
BLAKE2b-256 3ac481888ef9cc73ed186e68b5f5af33250e9ad092534632291e096ce246f00d

See more details on using hashes here.

File details

Details for the file pdr-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: pdr-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 115.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pdr-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 da748423292ef1252638b4dad127678e79f80085f17236ed5f79123bfe54508f
MD5 057fa42ee11d15d2df062cf94dcaccaf
BLAKE2b-256 e0e2a5bfc3f3496bae90588e9e0530b1783855d81e1480cb2074837c0baebb7e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page