Add vec_table as an API Parameter for JPL Horizons

astroquery/jplhorizons/__init__.py

@@ -229,6 +229,36 @@ class Conf(_config.ConfigNamespace):
                    'VX': ('vx', 'AU/d'),
                    'VY': ('vy', 'AU/d'),
                    'VZ': ('vz', 'AU/d'),
+
+                   'X_s': ('x_s', 'AU'),
+                   'Y_s': ('y_s', 'AU'),
+                   'Z_s': ('z_s', 'AU'),
+                   'VX_s': ('vx_s', 'AU/d'),
+                   'VY_s': ('vy_s', 'AU/d'),
+                   'VZ_s': ('vz_s', 'AU/d'),
+
+                   'A_s': ('a_s', 'AU'),
+                   'C_s': ('c_s', 'AU'),
+                   'N_s': ('n_s', 'AU'),
+                   'VA_s': ('va_s', 'AU/d'),
+                   'VC_s': ('vc_s', 'AU/d'),
+                   'VN_s': ('vn_s', 'AU/d'),
+
+                   'R_s': ('r_s', 'AU'),
+                   'T_s': ('t_s', 'AU'),
+                   # N_s is repeated here.
+                   'VR_s': ('vr_s', 'AU/d'),
+                   'VT_s': ('vt_s', 'AU/d'),
+                   # VN_s is repeated here.
+
+                   # Note: A_s is duplicated for POS (p) and ACN (a) uncertainties. It 
+                   # is up to the user to differentiate them! (They have the same units.)
+                   'D_s': ('d_s', 'AU'),
+                   # R_s is repeated here.
+                   'VA_RA_s': ('va_ra_s', 'AU/d'),
+                   'VD_DEC_s': ('va_dec_s', 'AU/d'),
+                   # VR_s is repeated here.
+
                    'LT': ('lighttime', 'd'),
                    'RG': ('range', 'AU'),
                    'RR': ('range_rate',

astroquery/jplhorizons/core.py

@@ -959,8 +959,8 @@
     def vectors_async(self, *, get_query_payload=False,
                       closest_apparition=False, no_fragments=False,
                       get_raw_response=False, cache=True,
-                      refplane='ecliptic', aberrations='geometric',
-                      delta_T=False,):
+                      refplane='ecliptic', vector_table="3", 
+                      aberrations='geometric', delta_T=False,):
         """
         Query JPL Horizons for state vectors.
 
@@ -1057,6 +1057,14 @@
 
             See :ref:`Horizons Reference Frames <jpl-horizons-reference-frames>`
             in the astroquery documentation for details.
+
+        vector_table : string, optional
+            Selects the table of vectors to be returned. Options are numbers 1-6,
+            followed by any string of characters in the list [``'x'``, ``'a'``,
+            ``'r'``, ``'p'``]. Default: ``'3'``.
+
+            See `Horizons User Manual <https://ssd-api.jpl.nasa.gov/doc/horizons.html#vec_table>`_
+            for details.
 
         aberrations : string, optional
             Aberrations to be accounted for: [``'geometric'``,
@@ -1156,6 +1164,7 @@
             ('VEC_CORR', {'geometric': '"NONE"',
                           'astrometric': '"LT"',
                           'apparent': '"LT+S"'}[aberrations]),
+            ('VEC_TABLE', vector_table),
             ('VEC_DELTA_T', {True: 'YES', False: 'NO'}[delta_T]),
             ('OBJ_DATA', 'YES')]
         )
@@ -1314,16 +1323,19 @@
             elif (self.query_type == 'elements' and "JDTDB," in line):
                 headerline = str(line).split(',')
                 headerline[-1] = '_dump'
-            # read in vectors header line
-            elif (self.query_type == 'vectors' and "JDTDB," in line):
-                headerline = str(line).split(',')
-                headerline[-1] = '_dump'
             # identify end of data block
             if "$$EOE" in line:
                 data_end_idx = idx
             # identify start of data block
             if "$$SOE" in line:
                 data_start_idx = idx + 1
+
+                # read in vectors header line
+                # reading like this helps fix issues with commas after JDTDB
+                if self.query_type == 'vectors':
+                    headerline_raw = str(src[idx - 2]).replace("JDTDB,", "JDTDB")
+                    headerline = ["            JDTDB", *str(headerline_raw).split("JDTDB")[1].split(',')]
+                    headerline[-1] = '_dump'
             # read in targetname
             if "Target body name" in line:
                 targetname = line[18:50].strip()
@@ -1404,6 +1416,20 @@
         # strip whitespaces from column labels
         headerline = [h.strip() for h in headerline]
 
+        # add numbers to duplicates
+        headerline_seen = {} # format - column_name: [headerline_idx, count]
+        dup_col_to_orig = {} # format - remapped_column_name: [original_column_name, index], used for later processing
+        for i, col in enumerate(headerline):
+            if col in headerline_seen:
+                headerline_seen[col][1] += 1
+                headerline[headerline_seen[col][0]] = f"{col}_1"
+                dup_col_to_orig[f"{col}_1"] = [col, 1]
+
+                headerline[i] = f"{col}_{headerline_seen[col][1]}"
+                dup_col_to_orig[headerline[i]] = [col, headerline_seen[col][1]]
+            else:
+                headerline_seen[col] = [i, 1]
+
         # remove all 'Cut-off' messages
         raw_data = [line for line in src[data_start_idx:data_end_idx]
                     if 'Cut-off' not in line]
@@ -1469,14 +1495,22 @@
         # set column units
         rename = []
         for col in data.columns:
-            data[col].unit = column_defs[col][1]
-            if data[col].name != column_defs[col][0]:
+            # fetch from original definition, not remapped
+            col_unit = column_defs[dup_col_to_orig[col][0] if col in dup_col_to_orig.keys() else col]
+
+            data[col].unit = col_unit[1]
+            if data[col].name != col_unit[0]:
                 rename.append(data[col].name)
 
         # rename columns
         for col in rename:
             try:
-                data.rename_column(data[col].name, column_defs[col][0])
+                if col in dup_col_to_orig.keys(): # preserve index on duplicate columns
+                    to_rename = f"{column_defs[dup_col_to_orig[col][0]][0]}_{dup_col_to_orig[col][1]}"
+                else:
+                    to_rename = column_defs[col][0]
+
+                data.rename_column(data[col].name, to_rename)
             except KeyError:
                 pass
 

astroquery/jplhorizons/tests/test_jplhorizons.py

@@ -268,6 +268,7 @@ def test_vectors_query_payload():
         ('TP_TYPE', 'ABSOLUTE'),
         ('VEC_LABELS', 'YES'),
         ('VEC_CORR', '"NONE"'),
+        ('VEC_TABLE', '3'),
         ('VEC_DELTA_T', 'NO'),
         ('OBJ_DATA', 'YES'),
         ('CENTER', "'500@10'"),

astroquery/jplhorizons/tests/test_jplhorizons_remote.py

@@ -353,6 +353,42 @@ def test_vectors_query(self):
              res['vz'],
              res['lighttime'], res['range'],
              res['range_rate']], rtol=1e-3)
+
+    def test_vectors_query_two(self):
+        # check values of Ceres for a given epoch, with vector_table="2xarp" to get all possible information
+        # orbital uncertainty of Ceres is basically zero
+        res = jplhorizons.Horizons(id='Ceres', location='500@10',
+                                   id_type='smallbody',
+                                   epochs=2451544.5).vectors(vector_table="2xarp",)[0]
+
+        assert res['targetname'] == "1 Ceres (A801 AA)"
+        assert res['datetime_str'] == "A.D. 2000-Jan-01 00:00:00.0000"
+
+        assert_quantity_allclose(
+          [2451544.5, 
+           -2.377530292832982E+00, 8.007772359639206E-01,
+           4.628376133882323E-01, -3.605422228805115E-03, 
+           -1.057883336698096E-02, 3.379790443661611E-04,  
+           1.69636278E-10, 4.38650236E-10, 1.97923277E-10, 
+           1.94851194E-12, 5.56918627E-13, 2.05288488E-12, 
+           4.69444042E-10, 2.17944530E-11, 1.98774780E-10, 
+           8.81447488E-14, 1.83081418E-12, 2.22745222E-12, 
+           2.54838011E-11, 4.69258226E-10, 1.98774780E-10, 
+           1.83140694E-12, 7.48243991E-14, 2.22745222E-12, 
+           4.68686492E-10, 2.00119134E-10, 2.54838011E-11,
+           1.17091788E-13, 2.22563061E-12, 1.83140694E-12,],
+           [res['datetime_jd'],
+            res['x'], res['y'],
+            res['z'], res['vx'],
+            res['vy'], res['vz'],
+            res['x_s'], res['y_s'], res['z_s'],
+            res['vx_s'], res['vy_s'], res['vz_s'],
+            res['a_s_1'], res['c_s'], res['n_s_1'],
+            res['va_s'], res['vc_s'], res['vn_s_1'],
+            res['r_s_1'], res['t_s'], res['n_s_2'],
+            res['vr_s_1'], res['vt_s'], res['vn_s_2'],
+            res['a_s_2'], res['d_s'], res['r_s_2'],
+            res['va_ra_s'], res['va_dec_s'], res['vr_s_2'],], rtol=1e-3)
 
     def test_vectors_query_raw(self):
         # deprecated as of #2418