Skip to main content

Toolkit to access and manipulate Gaia catalogue tables hosted at ESA's Gaia Archive Core Systems (GACS)

Project description

pygacs
======

**Python toolkit to manipulate Gaia catalogue tables hosted at ESA's Gaia Archive Core Systems (GACS)**

pygacs provides python modules for the access and manipulation (e.g. crossmatch) of
tables in GACS. It employs the TAP command line access tools described
in the 'Help' section of the GACS web pages (`<http://gaia.esac.esa.int/archive/>`_).

Both public and authenticated access have been
implemented.

Please see pygacsExample_publicAccess.py for a demo on how public tables can easily be queried using ADQL.

To fully use pygacs, in particular to upload a table for
crossmatch operations, you will need to be a registered user of GACS
and call the example script pygacsExample.py with your access credentials.



Documentation
-------------

All classes and methods/functions include basic documentation.


Installation notes
------------------

This package was developed in a python 2.7 environment.

The following python packages are required:

* `numpy <http://www.numpy.org/>`_
* `astropy <http://www.astropy.org/>`_
* `xmltodict <https://pypi-hypernode.com/pypi/xmltodict/>`_

Optional (for plotting in the example script):

* `matplotlib <http://matplotlib.org/>`_
* `pylab <http://matplotlib.org/pylab/>`_


How to run the example script
-----------

You may use pip for installation:

> pip install pygacs

Or get the source files, e.g.:

> git clone https://github.com/johannes-sahlmann/pygacs

Install pygacs:

> cd pygacs

> python setup.py install --user

To run the example script, do:

> cd examples/

For public access:
> ./pygacsExample_publicAccess.py

For authenticated access:
> ./pygacsExample.py --help
> ./pygacsExample.py yourGacsUserName yourGacsPassword





Attribution
-----------

Please acknowledge the ESA Science Archives Team and the Gaia Data
Processing and Analysis Consortium (DPAC) if you used this code in your
research.

License
-------

Copyright (c) 2015 Johannes Sahlmann, Gaia Data Processing and Analysis Consortium

pygacs is open source and free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by the
Free Software Foundation, either version 3 of the License, or (at your option)
any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with
this program. If not, see `<http://www.gnu.org/licenses/>`_.


Changelog
---------

.. :changelog:

0.0 (September 2015)
++++++++++++++++++

- Creation.

Project details


Download files

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

Source Distributions

pygacs-0.2.3.zip (25.9 kB view details)

Uploaded Source

pygacs-0.2.3.tar.gz (17.0 kB view details)

Uploaded Source

File details

Details for the file pygacs-0.2.3.zip.

File metadata

  • Download URL: pygacs-0.2.3.zip
  • Upload date:
  • Size: 25.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pygacs-0.2.3.zip
Algorithm Hash digest
SHA256 eba1a6e51676a54ed94409131e868c64211a7f48514feb014c78400db85e8efd
MD5 eeb08d23160024b23e3265055486b33a
BLAKE2b-256 0aab61a35695d157b1bef864d72e3de69759e5499ae886162d8939e0c64c457d

See more details on using hashes here.

Provenance

File details

Details for the file pygacs-0.2.3.tar.gz.

File metadata

  • Download URL: pygacs-0.2.3.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pygacs-0.2.3.tar.gz
Algorithm Hash digest
SHA256 199c55cafe667710b60c7aac9cd98e68b09ae3ff1448160fc255857b7d364290
MD5 3fc770f9839ac8bb6852dbef1a419f16
BLAKE2b-256 8480d0c65eecafefd38bebcb7e64c7624816c8fd57cb8405157bfbe76ff5e735

See more details on using hashes here.

Provenance

Supported by

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