问题
I have a netcdf file with several values < 0. I would like to replace all of them with a single value (say -1). How do I do that using netCDF4? I am reading in the file like this:
import netCDF4
dset = netCDF4.Dataset('test.nc')
dset[dset.variables['var'] < 0] = -1
回答1:
If you want to keep the data in the netCDF variable object, this should work:
import netCDF4
dset = netCDF4.Dataset('test.nc')
dset['var'][:][dset['var'][:] < 0] = -1
dset.close() # if you want to write the variable back to disk
If you don't want to write back to disk, go ahead and just get the numpy array and slice/assign to it:
data = dset['sea_ice_cover'][:] # data is a numpy array
data[data < 0] = -1
回答2:
For me, the previous answer does not work, I solved it with:
dset = netCDF4.Dataset('test.nc','r+')
dset.variables['var'][:]
... your changes ...
dset.close()
回答3:
I know the OP wants a python solution, but in case anyone wants to perform this task only, there is also a quick way to do it from the command line with nco:
ncap2 -s 'where(x<0.) x=-1;' input.nc -O output.nc
as per this post: setting values below a threshold to the threshold in a netcdf file
来源:https://stackoverflow.com/questions/31865410/python-replacing-values-in-netcdf-file-using-netcdf4