Welcome to gapipes!¶

gapipes is a lightweight collection of routines to fetch and work with the Gaia data.

It provides

• sensible and tested Gaia TAP+ client to fetch the data
• custom accessors to pandas DataFrame and Series to do common operations on the Gaia data such as
  • making astropy coordinates objects
  • calculating renormalized unit weight error
  • making covariance matrix from errors and correlation coeffecients.

NOTE The code is very much under active development.

import gapipes as gp

gp.gaia.query("""
select *
from gaiadr2.gaia_source
where
  1=contains(point('', ra, dec),
             circle('', 130.226, 19.665, 1))
  and parallax between 4.613 and 7.312
""").pipe(gp.add_gMag)\
    .plot.scatter('bp_rp', 'gMag').invert_yaxis();