如何在 python 的 netcdf 文件中读取变量的值？

Question

I have a NetCDF file called air.sig995.2012.nc . it has four variables: ('lat','lon','time','air') .

I am trying to read the values of any of the variables, lets say the variable air using below line:

import scipy.io.netcdf as S
fileobj=S.netcdf_file('air.sig995.2012.nc','r')
data=fileobj.variables['air'].getValue()

but it gives me below error:

ValueError: can only convert an array of size 1 to a Python scalar

I am fairly new to python. Can anyone help me on this one.

Answer 1

The output you're expecting is quite ambiguous but both methods should work depending on your specific goal in mind.

`import xarray as xr `
### open netcdf file ###
df = xr.open_dataset('path/file.nc')

### extract values of variable 'air' ####
air = df['air'][:]
air_flat = df['air'].values.flatten() # 1-d data

Answer 2

If not xarray, you can do this with the netcdf4-python library with the same slice syntax:

from netCDF4 import Dataset

nc = Dataset('air.sig995.2012.nc')
my_array = nc.variables['air'][:]