Changing photometry dtype to be np.float32.

sedkit/sed.py

@@ -200,7 +200,7 @@ def __init__(self, name='My Target', verbose=True, method_list=None, substellar=
         # Make empty photometry table
         self.mag_system = 'Vega'
         phot_cols = ('band', 'eff', 'app_magnitude', 'app_magnitude_unc', 'app_flux', 'app_flux_unc', 'abs_magnitude', 'abs_magnitude_unc', 'abs_flux', 'abs_flux_unc', 'bandpass', 'ref')
-        phot_typs = ('U16', np.float16, np.float16, np.float16, float, float, np.float16, np.float16, float, float, 'O', 'O')
+        phot_typs = ('U16', np.float16, np.float32, np.float32, float, float, np.float32, np.float32, float, float, 'O', 'O')
         self._photometry = at.QTable(names=phot_cols, dtype=phot_typs)
         for col in ['app_flux', 'app_flux_unc', 'abs_flux', 'abs_flux_unc']:
             self._photometry[col].unit = self._flux_units
@@ -310,7 +310,7 @@ def add_photometry(self, band, mag, mag_unc=None, system='Vega', ref=None, **kwa
             # Make a dict for the new point
             mag = round(mag, 3)
             mag_unc = mag_unc if np.isnan(mag_unc) else round(mag_unc, 3)
-            eff = bp.wave_eff.astype(np.float16)
+            eff = bp.wave_eff.astype(np.float32)
             new_photometry = {'band': band, 'eff': eff, 'app_magnitude': mag, 'app_magnitude_unc': mag_unc, 'bandpass': bp, 'ref': ref}
 
             # Add the kwargs
@@ -361,8 +361,8 @@ def add_photometry_row(self, row, bands=None, rename=None, unc_wildcard='e_*', r
         # Add photometry to phot table
         for idx, band in enumerate(bands):
             if band in row.colnames:
-                goodmag = isinstance(row[band], (float, np.float16, np.float32))
-                goodunc = isinstance(row[unc_wildcard.replace('*', band)], (float, np.float16, np.float32))
+                goodmag = isinstance(row[band], (float, np.float32, np.float32))
+                goodunc = isinstance(row[unc_wildcard.replace('*', band)], (float, np.float32, np.float32))
                 if goodmag:
                     mag = row[band]
                     unc = row[unc_wildcard.replace('*', band)] if goodunc else np.nan