I am new to netCDF4
but I have the following:
import netCDF4
nc = netCDF4.Dataset('test.nc','w',format='NETCDF4_CLASSIC')
lat = nc.createVariable('lat','d')
lon = nc.createVariable('lon','d')
place = nc.createVariable('place','c')
lat[:]=17.002
lon[:]=-81.501
#place[:]='test'
nc.close()
I want to assign the variable 'place' with a value that is more than 1 character. how do you do it without using attributes (e.g. place.name='test'
)?
The key is to use the netCDF4.stringtochar function to convert a string array to a character array.
import netCDF4
import numpy as np
str_out = netCDF4.stringtochar(np.array(['test'], 'S4'))
nc = netCDF4.Dataset('./test.nc', 'w', format='NETCDF4_CLASSIC')
nc.createDimension('lat', 1)
nc.createDimension('lon', 1)
nc.createDimension('nchar', 4)
lat = nc.createVariable('lat', 'f4', ('lat',))
lon = nc.createVariable('lon', 'f4', ('lon',))
place = nc.createVariable('place', 'S1', ('nchar'))
lat[:] = 17.002
lon[:] = -81.501
place[:] = str_out
nc.close()
You can check the output with
>>> ncks test.nc
...
lat[0]=17.002
lon[0]=-81.501
nchar[0] place[0--3]='test'
Note that by removing the format of 'NETCDF4_CLASSIC', you can accomplish this another way:
str_out = np.array(['test'], dtype='object')
nc = netCDF4.Dataset('./test.nc', 'w')
nc.createDimension('lat', 1)
nc.createDimension('lon', 1)
nc.createDimension('str_dim', 1)
lat = nc.createVariable('lat', 'f4', ('lat',))
lon = nc.createVariable('lon', 'f4', ('lon',))
# Now we can use the data type of 'str'
place = nc.createVariable('place', str, ('str_dim',))
lat[:] = 17.002
lon[:] = -81.501
place[:] = str_out
nc.close()
>>> ncks test.nc
...
lat[0]=17.002
lon[0]=-81.501
str_dim[0] place[0]=test
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