spectral-cube's reprojection only works with FITS WCS objects at the moment
from ndcube.wcs.wrappers import ResampledLowLevelWCS
from spectral_cube import SpectralCube
import reproject
from astropy.wcs.wcsapi import HighLevelWCSWrapper
# read whatever random cube I have laying around
cube = SpectralCube.read('G000.00+00.00_H2CO_2pol.fits')[:25,:20,:21]
ww = ResampledLowLevelWCS(cube.wcs, [2,2,1])
hw = HighLevelWCSWrapper(ww)
cube.reproject(hw)
yields
Traceback (most recent call last):
File "<ipython-input-39-7934036dabd6>", line 1, in <module>
cube.reproject(HighLevelWCSWrapper(ww))
File "/home/adam/repos/spectral-cube/spectral_cube/utils.py", line 49, in wrapper
return function(self, *args, **kwargs)
File "/home/adam/repos/spectral-cube/spectral_cube/spectral_cube.py", line 2610, in reproject
newwcs = wcs.WCS(header)
File "/home/adam/repos/astropy/astropy/wcs/wcs.py", line 416, in __init__
for dict_key in orig_header.keys():
AttributeError: 'HighLevelWCSWrapper' object has no attribute 'keys'
We should support APE14 HighLevelWCS objects.
The reason reproject takes a header right now is the need to specify an output grid. However, HighLevelWCS's are supposed to have array_shapes defined.
spectral-cube's reprojection only works with FITS WCS objects at the moment
yields
We should support APE14 HighLevelWCS objects.
The reason reproject takes a header right now is the need to specify an output grid. However, HighLevelWCS's are supposed to have
array_shape
s defined.