remove load_apokasc()

docs/source/tools_apogee.rst

@@ -354,20 +354,6 @@ Or you can use `load_apogee_rc()` to load the data by
    # 'fakemag' for astroNN's k-band fakemag scale
    RA, DEC, array = load_apogee_rc(dr=16, unit='distance', extinction=True)  # extinction only effective if not unit='distance'
 
------------------------------------------
-APOKASC in the Kepler Fields
------------------------------------------
-
-.. code-block:: python
-   :linenos:
-
-   from astroNN.datasets import load_apokasc
-
-   ra, dec, logg = load_apokasc()
-
-   # OR you want the gold and basic standard separately
-   gold_ra, gold_dec, gold_logg, basic_ra, basic_dec, basic_logg = load_apokasc(combine=False)
-
 -----------------------------------------
 APOGEE Distance Estimations
 -----------------------------------------

src/astroNN/datasets/__init__.py

@@ -1,4 +1,4 @@
-from astroNN.datasets.apogee import load_apogee_distances, load_apogee_rc, load_apokasc
+from astroNN.datasets.apogee import load_apogee_distances, load_apogee_rc
 from astroNN.datasets.galaxy10 import load_data as load_galaxy10
 from astroNN.datasets.galaxy10sdss import load_data as load_galaxy10sdss
 from astroNN.datasets.h5 import H5Loader

src/astroNN/datasets/apogee.py

@@ -149,34 +149,3 @@ def load_apogee_rc(dr=None, unit="distance", extinction=True):
         raise ValueError("Unknown unit")
 
     return ra, dec, output
-
-
-def load_apokasc(combine=True):
-    """
-    Load APOKASC asteroseismic surface gravity measurement
-
-    :param combine: True to combine gold and basic standard, otherwise only get gold standard log(g)
-    :type combine: boolean
-    :return: numpy array of ra, dec, array
-    :rtype: ndarrays
-    :History:
-        | 2017-Dec-23 - Written - Henry Leung (University of Toronto)
-    """
-    catalog_list = Vizier.find_catalogs("apokasc")
-    Vizier.ROW_LIMIT = 99999
-    catalogs_gold = Vizier.get_catalogs(catalog_list.keys())[1]
-    catalogs_basic = Vizier.get_catalogs(catalog_list.keys())[2]
-    gold_ra = catalogs_gold["_RA"]
-    gold_dec = catalogs_gold["_DE"]
-    gold_logg = catalogs_gold["log_g_"]
-    basic_ra = catalogs_basic["_RA"]
-    basic_dec = catalogs_basic["_DE"]
-    basic_logg = catalogs_basic["log.g2"]
-
-    if combine is True:
-        ra = np.append(np.array(gold_ra), np.array(basic_ra))
-        dec = np.append(np.array(gold_dec), np.array(basic_dec))
-        logg = np.append(np.array(gold_logg), np.array(basic_logg))
-        return ra, dec, logg
-    else:
-        return gold_ra, gold_dec, gold_logg, basic_ra, basic_dec, basic_logg

tests/test_datasets.py

@@ -26,12 +26,6 @@ def test_xmatch(self):
         self.assertEqual(len(idx_1), len(idx_2))
         self.assertEqual(np.all(sep==0.), True)
 
-    def test_apokasc(self):
-        from astroNN.datasets.apogee import load_apokasc
-
-        ra, dec, logg = load_apokasc()
-        gold_ra, gold_dec, gold_logg, basic_ra, basic_dec, basic_logg = load_apokasc(combine=False)
-
     def test_galaxy10(self):
         from astroNN.datasets.galaxy10 import galaxy10cls_lookup, galaxy10_confusion
         # make sure galaxy10 exists on astro's server