GTable¶
- class grizli.utils.GTable(data=None, masked=False, names=None, dtype=None, meta=None, copy=True, rows=None, copy_indices=True, units=None, descriptions=None, **kwargs)[source]¶
Bases:
Table
Extend
Table
class with more automatic IO and other helper methods.Methods Summary
add_aladdin
([rd_cols, fov, size, default_view])Add AladinLite DIV column to the table
gread
(file[, sextractor, format])Assume
ascii.commented_header
by defaultgwrite
(output[, format])Assume a format for the output table
match_to_catalog_sky
(other[, self_radec, ...])Compute
SkyCoord
projected matches between twoGTable
tables.match_triangles
(other[, self_wcs, x_column, ...])x_column = 'X_IMAGE' y_column = 'Y_IMAGE' mag_column = 'MAG_AUTO' pixel_index=1 pad=100
parse_radec_columns
(self[, rd_pairs])Parse column names for RA/Dec and set to
degree
units if not already setwrite_sortable_html
(output[, ...])Wrapper around
write(format='jsviewer')
.Methods Documentation
- add_aladdin(rd_cols=['ra', 'dec'], fov=0.5, size=(400, 200), default_view='P/DSS2/color')[source]¶
Add AladinLite DIV column to the table
fov : fov in degrees size : size of DIVs (w, h) in pixels (w, h)
- classmethod gread(file, sextractor=False, format=None)[source]¶
Assume
ascii.commented_header
by default
- gwrite(output, format='ascii.commented_header')[source]¶
Assume a format for the output table
- Parameters
- outputstr
Output filename
- formatstr
Format string passed to
write
.
- match_to_catalog_sky(other, self_radec=None, other_radec=None, nthneighbor=1, get_2d_offset=False)[source]¶
Compute
SkyCoord
projected matches between twoGTable
tables.- Parameters
- other
Table
,GTable
, orlist
. Other table to match positions from.
- self_radec, other_radecNone or [str, str]
Column names for RA and Dec. If None, then try the following pairs (in this order):
>>> rd_pairs = OrderedDict() >>> rd_pairs['ra'] = 'dec' >>> rd_pairs['ALPHA_J2000'] = 'DELTA_J2000' >>> rd_pairs['X_WORLD'] = 'Y_WORLD'
- nthneighborint
See
match_to_catalog_sky
.
- other
- Returns
- idxint array
Indices of the matches as in
>>> matched = self[idx] >>> len(matched) == len(other)
- drfloat array
Projected separation of closest match.
Examples
>>> import astropy.units as u
>>> ref = GTable.gread('input.cat') >>> gaia = GTable.gread('gaia.cat') >>> idx, dr = ref.match_to_catalog_sky(gaia) >>> close = dr < 1*u.arcsec
>>> ref_match = ref[idx][close] >>> gaia_match = gaia[close]
- match_triangles(other, self_wcs=None, x_column='X_IMAGE', y_column='Y_IMAGE', mag_column='MAG_AUTO', other_ra='X_WORLD', other_dec='Y_WORLD', pixel_index=1, match_kwargs={}, pad=100, show_diagnostic=False, auto_keep=3, maxKeep=10, auto_limit=3, ba_max=0.99, scale_density=10)[source]¶
x_column = ‘X_IMAGE’ y_column = ‘Y_IMAGE’ mag_column = ‘MAG_AUTO’ pixel_index=1 pad=100
auto_keep=3 maxKeep=10 auto_limit=3 ba_max = 0.99
- static parse_radec_columns(self, rd_pairs=None)[source]¶
Parse column names for RA/Dec and set to
degree
units if not already set- Parameters
- rd_pairs
OrderedDict
or None Pairs of {ra:dec} names to search in the column list. If None, then uses the following by default.
>>> rd_pairs = OrderedDict() >>> rd_pairs['ra'] = 'dec' >>> rd_pairs['ALPHA_J2000'] = 'DELTA_J2000' >>> rd_pairs['X_WORLD'] = 'Y_WORLD'
NB: search is performed in order of
rd_pairs.keys()
and stops if/when a match is found.
- rd_pairs
- Returns
- rd_pair[str, str]
Column names associated with RA/Dec. Returns False if no column pairs found based on
rd_pairs
.
- write_sortable_html(output, replace_braces=True, localhost=True, max_lines=50, table_id=None, table_class='display compact', css=None, filter_columns=[], buttons=['csv'], toggle=True, use_json=False, with_dja_css=False, timestamp=True)[source]¶
Wrapper around
write(format='jsviewer')
.- Parameters
- outputstr
Output filename.
- replace_bracesbool
Replace ‘<’ and ‘>’ characters that are converted automatically from “<>” by the
write
method. There are parameters for doing this automatically withwrite(format='html')
but that don’t appear to be available withwrite(format='jsviewer')
.- localhostbool
Use local JS files. Otherwise use files hosted externally.
- filter_columnslist
Add option to limit min/max values of column data
- buttonslist
Add buttons for exporting data. Allowed options are ‘copy’, ‘csv’, ‘excel’, ‘pdf’, ‘print’.
- togglebool
Add links at top of page for toggling columns on/off
- use_jsonbool
Write the data to a JSON file and strip out of the HTML header. Use this for large datasets or if columns include rendered images.
- etc…
Additional parameters passed through to
write
.