ENH: query_sia and query_ssa to return QTable

CHANGES.rst

@@ -8,14 +8,18 @@ New Tools and Services
 API changes
 -----------
 
-
 esa.euclid
 ^^^^^^^^^^^^
 
 - New module to access the ESA Euclid Archive. [#3216]
 
 - Tests remove temp directories. [#3226]
 
+ipac.irsa
+^^^^^^^^^
+
+- ``query_sia`` now returns the results as an astropy QTable. [#3252]
+
 mast
 ^^^^
 

astroquery/ipac/irsa/core.py

@@ -102,10 +102,10 @@
 
         Returns
         -------
-        Results in `pyvo.dal.SIAResults` format.
-        result.to_table() in Astropy table format
+        Results in `~astropy.table.QTable` format.
+
         """
-        return self.sia.search(
+        results = self.sia.search(
             pos=pos,
             band=band,
             time=time,
@@ -126,6 +126,8 @@
             maxrec=maxrec,
             **kwargs)
 
+        return results.to_qtable()
+
     query_sia.__doc__ = query_sia.__doc__.replace('_SIA2_PARAMETERS', SIA2_PARAMETERS_DESC)
 
     def query_ssa(self, *, pos=None, radius=None, band=None, time=None, collection=None):
@@ -151,17 +153,17 @@
 
         Returns
         -------
-        Results in `pyvo.dal.SSAResults` format.
-        result.to_table() in Astropy table format
+        Results in `~astropy.table.QTable` format.
         """
 
         if radius is None:
             diameter = None
         else:
             diameter = 2 * radius
 
-        return self.ssa.search(pos=pos, diameter=diameter, band=band, time=time,
-                               format='all', collection=collection)
+        results = self.ssa.search(pos=pos, diameter=diameter, band=band, time=time,
+                                  format='all', collection=collection)
+        return results.to_qtable()
 
     def list_collections(self, servicetype=None):
         """
@@ -302,10 +304,10 @@
         Parameters
         ----------
         full : bool
-            If True returns the full schema VOTable. If False returns a dictionary of the table names and
-            their description.
+            If True returns the full schema as a `~astropy.table.Table`.
+            If False returns a dictionary of the table names and their description.
         """
-        tap_tables = Irsa.query_tap("SELECT * FROM TAP_SCHEMA.tables")
+        tap_tables = Irsa.query_tap("SELECT * FROM TAP_SCHEMA.tables").to_table()
 
         if full:
             return tap_tables

astroquery/ipac/irsa/tests/test_irsa_remote.py

@@ -92,5 +92,5 @@ def test_ssa(self):
         coord = SkyCoord.from_name("Eta Carina")
         result = Irsa.query_ssa(pos=coord)
         assert len(result) > 260
-        collections = set(result.to_table()['dataid_collection'])
+        collections = set(result['dataid_collection'])
         assert {'champ', 'iso_sws', 'sofia_forcast', 'sofia_great', 'spitzer_sha'}.issubset(collections)

docs/ipac/irsa/irsa.rst

@@ -271,7 +271,7 @@ Simple image access queries
 
 `~astroquery.ipac.irsa.IrsaClass.query_sia` provides a way to access IRSA's Simple
 Image Access VO service. In the following example we are looking for Spitzer
-Enhanced Imaging products in the centre of the COSMOS field as an `~astropy.table.Table`.
+Enhanced Imaging products in the centre of the COSMOS field as a `~astropy.table.QTable`.
 
 .. doctest-remote-data::
 
@@ -280,7 +280,7 @@ Enhanced Imaging products in the centre of the COSMOS field as an `~astropy.tabl
    >>> from astropy import units as u
    >>>
    >>> coord = SkyCoord('150.01d 2.2d', frame='icrs')
-   >>> spitzer_images = Irsa.query_sia(pos=(coord, 1 * u.arcmin), collection='spitzer_seip').to_table()
+   >>> spitzer_images = Irsa.query_sia(pos=(coord, 1 * u.arcmin), collection='spitzer_seip')
 
 To list available collections for SIA queries, the
 `~astroquery.ipac.irsa.IrsaClass.list_collections` method is provided, and
@@ -342,7 +342,7 @@ Now plot the cutout.
    from astropy.wcs import WCS
    import matplotlib.pyplot as plt
    coord = SkyCoord('150.01d 2.2d', frame='icrs')
-   spitzer_images = Irsa.query_sia(pos=(coord, 1 * u.arcmin), collection='spitzer_seip').to_table()
+   spitzer_images = Irsa.query_sia(pos=(coord, 1 * u.arcmin), collection='spitzer_seip')
    science_image = spitzer_images[spitzer_images['dataproduct_subtype'] == 'science'][0]
    with fits.open(science_image['access_url'], use_fsspec=True) as hdul:
         cutout = Cutout2D(hdul[0].section, position=coord, size=2 *
@@ -356,7 +356,7 @@ Simple spectral access queries
 
 `~astroquery.ipac.irsa.IrsaClass.query_ssa` provides a way to access IRSA's Simple
 Spectral Access VO service. In the following example we are looking for Spitzer
-Enhanced Imaging products in the centre of the COSMOS field as an `~astropy.table.Table`.
+Enhanced Imaging products in the centre of the COSMOS field as a `~astropy.table.QTable`.
 
 .. doctest-remote-data::
 
@@ -365,7 +365,7 @@ Enhanced Imaging products in the centre of the COSMOS field as an `~astropy.tabl
    >>> from astropy import units as u
    >>>
    >>> coord = pos = SkyCoord.from_name('Arp 220')
-   >>> arp220_spectra = Irsa.query_ssa(pos=coord).to_table()
+   >>> arp220_spectra = Irsa.query_ssa(pos=coord)
 
 Without specifying the collection, the query returns results from multiple
 collections. For example this target has spectra from SOFIA as well as from