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Cell In[941], line 1
spec_test = Spectrum1D.read(fname+'.fits', format='tabular-fits')
File ~/anaconda3/lib/python3.10/site-packages/astropy/nddata/mixins/ndio.py:59 in call
return self.registry.read(self._cls, *args, **kwargs)
File ~/anaconda3/lib/python3.10/site-packages/astropy/io/registry/core.py:218 in read
data = reader(*args, **kwargs)
File ~/anaconda3/lib/python3.10/site-packages/specutils/io/default_loaders/tabular_fits.py:87 in tabular_fits_loader
return generic_spectrum_from_table(tab, wcs=wcs, **kwargs)
File ~/anaconda3/lib/python3.10/site-packages/specutils/io/parsing_utils.py:258 in generic_spectrum_from_table
raise IOError("Could not identify column containing the flux")
OSError: Could not identify column containing the flux
The text was updated successfully, but these errors were encountered:
Thanks for reaching out, sorry for the delayed reply. I just tested this with a dummy spectrum (see below) and can't reproduce your error - can you provide some more detail (or the code) on how you created spec? And can you confirm that you're working with an up-to-date version of specutils?
The code I tested with is:
import astropy.units as u
from specutils import Spectrum1D
f = [10,15,20,18] * u.Jy
sa = [3000,3010,3020,3030] * u.AA
spec = Spectrum1D(f, spectral_axis=sa)
spec.write('test_tabular.fits', format='tabular-fits', overwrite=True)
spec_test = Spectrum1D.read('test_tabular.fits', format='tabular-fits')
spec_test
<Spectrum1D(flux=<Quantity [10., 15., 20., 18.] Jy>, spectral_axis=<SpectralAxis [3000., 3010., 3020., 3030.] Angstrom>)>
I am using specutils and I am having a problem doing a simple thing.
I made a spectrum, call it "spec" and I saved it to a fits file using:
spec.write(fname+'.fits', format='tabular-fits', overwrite=True)
Then I read the exact same file using:
spec_test = Spectrum1D.read(fname+'.fits', format='tabular-fits')
However, this does not work. Any ideas?
I get the following errors, see below:
spec.write(fname+'.fits', format='tabular-fits', overwrite=True)
spec_test = Spectrum1D.read(fname+'.fits', format='tabular-fits')
Traceback (most recent call last):
Cell In[941], line 1
spec_test = Spectrum1D.read(fname+'.fits', format='tabular-fits')
File ~/anaconda3/lib/python3.10/site-packages/astropy/nddata/mixins/ndio.py:59 in call
return self.registry.read(self._cls, *args, **kwargs)
File ~/anaconda3/lib/python3.10/site-packages/astropy/io/registry/core.py:218 in read
data = reader(*args, **kwargs)
File ~/anaconda3/lib/python3.10/site-packages/specutils/io/default_loaders/tabular_fits.py:87 in tabular_fits_loader
return generic_spectrum_from_table(tab, wcs=wcs, **kwargs)
File ~/anaconda3/lib/python3.10/site-packages/specutils/io/parsing_utils.py:258 in generic_spectrum_from_table
raise IOError("Could not identify column containing the flux")
OSError: Could not identify column containing the flux
The text was updated successfully, but these errors were encountered: