astropy tables as semantic tables¤

astropy tables carry a lot of information. the default representation violates html standards. we reuse our accessible table repr on the pandas version of the table. with this installed, astropy tables are accessible.

%matplotlib inline
import astropy
from astropy.coordinates import SkyCoord
from astroquery.mast import Observations

from nbconvert_a11y.tables import *
from nbconvert_a11y.outputs import BeautifulSoup
%reload_ext nbconvert_a11y.outputs

Below are the helper functions we will call for plotting purposes later in the notebook.

# We will pass in the coordinates as a Sky Coord object
coordinates = SkyCoord(289.0979, -29.3370, unit="deg")

obs = Observations.query_criteria(coordinates=coordinates,
                                  target_name='TICA FFI',
                                  dataproduct_type='image',
                                  sequence_number=27)

obs

Table masked=True length=1

intentType	obs_collection	provenance_name	instrument_name	project	filters	wavelength_region	target_name	target_classification	obs_id	s_ra	s_dec	dataproduct_type	proposal_pi	calib_level	t_min	t_max	t_exptime	em_min	em_max	obs_title	t_obs_release	proposal_id	proposal_type	sequence_number	s_region	jpegURL	dataURL	dataRights	mtFlag	srcDen	obsid	objID	objID1	distance
str7	str4	str4	str10	str4	str4	str7	str8	str1	str25	float64	float64	str5	str17	int64	float64	float64	float64	float64	float64	str1	float64	str3	str1	int64	str117	str1	str1	str6	bool	float64	str8	str9	str9	float64
science	HLSP	TICA	Photometer	TESS	TESS	Optical	TICA FFI	--	hlsp_tica_s0027-cam1-ccd4	292.5180823224232	-33.62274382166828	image	Michael Fausnaugh	3	59035.77807636512	59060.13917620387	475.2	600.0	1000.0	--	59246.0	N/A	--	27	POLYGON 298.489297 -26.919235 301.396094 -38.579035 285.694884 -40.219585 285.275975 -28.732615 298.489297 -26.919235	--	--	PUBLIC	False	nan	96814766	185636258	185636258	0.0

import astropy.table
from nbconvert_a11y.outputs import BeautifulSoup
from nbconvert_a11y.tables import repr_semantic, get_table, SHOW_INDEX, repr_semantic_update
@repr_semantic.register(astropy.table.Table)
def repr_astropy_table(table, *args, **kwargs):
    return get_table(obs.to_pandas(), BeautifulSoup(obs._base_repr_(True)).i.text, type_=type(table), ROW_INDEX=SHOW_INDEX.hide)

repr_semantic_update()

obs

Table masked=True length=1
rows
1
columns
35
indexes
rows
0
columns
1
intentType	obs_collection	provenance_name	instrument_name	project	filters	wavelength_region	target_name	target_classification	obs_id	hidden	s_region	jpegURL	dataURL	dataRights	mtFlag	srcDen	obsid	objID	objID1	distance
`science`	`HLSP`	`TICA`	`Photometer`	`TESS`	`TESS`	`Optical`	`TICA FFI`	nan	`hlsp_tica_s0027-cam1-ccd4`	hidden	`POLYGON 298.489297 -26.919235 301.396094 -38.579035 285.694884 -40.219585 285.275975 -28.732615 298.489297 -26.919235`	nan	nan	`PUBLIC`	False	nan	`96814766`	`185636258`	`185636258`	0.0