Open gerritholl opened 2 months ago
gerritholl
commented
2 months ago When I search for it in the readers list , I can't find it ValueError: No reader named: li_l2_nc
Make sure you have the latest satpy and installed necessary dependencies. You can use satpy.available_readers() to check for warnings on missing dependencies.
markjinz
commented
2 months ago When I search for it in the readers list , I can't find it ValueError: No reader named: li_l2_nc
Make sure you have the latest satpy and installed necessary dependencies. You can use
satpy.available_readers()to check for warnings on missing dependencies.
Thank you gerrit when i run the next cell i got this error :
KeyError: "No dataset matching 'DataQuery(name='accumulated_flash_area_airmass')' found"
This is my code :
fnames={'li_l2_nc' : first_file,
'seviri_l1b_native': seviri_files
}
scn= Scene(filenames=fnames)
LIdict={'1': 'flash_accumulation','2': 'accumulated_flash_radiance', '3': 'accumulated_flasharea' }
RGBdict={'1': 'airmass' }
ch="%s%s" %(LIdict['3'],RGBdict['1'])
scn.load([ch],upper_right_corner="NE")
ameraner
commented
2 months ago Hi @markjinz , I believe your code and error is coming from the Eumetlab jupyter notebooks, which are not maintained here, but rather by the EUM trainer team. Please report issues specific to those notebooks on the according EUM Gitlab. This issue by Gerrit is related to a fully different problem, so let's try not to confuse things:)
gerritholl
commented
2 months ago Hi @ameraner , thank you for the clarification but I believe we can discuss all issues related to SATPY here ?!
If you have a satpy question/bug report/feature request that is not the same as this one, please open a new issue using "New issue" button on the top right.
Describe the bug
Resampling
flash_durationfails withValueErrorimmediately upon callingresample. This is probably becauseflash_durationis a timedelta (dtypem8[ns]), although fundamentally operations that work on ints or floats should also work on timedelta, so resampling should be possible in principle.To Reproduce
Expected behavior
I expect an output with a resampled flash duration.
Actual results
Environment Info:
Additional context
It does not depend on the resampler.
It might be caused by this numpy issue, where
np.issubdtype("m8", np.integer)returnsTrue, but at the same time a timedelta is invalid (ValueError) to pass tonp.iinfo.https://github.com/numpy/numpy/issues/26861