Jupyter Notebook, netCDF, and Model Results ¶ You can notice that the last part includes the dimensions of the variables along with the type and name of the variables.Import matplotlib.pyplot as plt import numpy as np xvals = np. Variables(dimensions): float64 ap(lev), float64 ap_bnds(lev, bnds), float64 b(lev), float64 b_bnds(lev, bnds), float64 bnds(bnds), float32 ch4(time, lev, lat, lon), float64 lat(lat), float64 lat_bnds(lat, bnds), float64 lev(lev), float64 lev_bnds(lev, bnds), float64 lon(lon), float64 lon_bnds(lon, bnds), float64 time(time), float64 time_bnds(time, bnds) Title: NOAA GFDL GFDL-ESM4 model output prepared for CMIP6 update of RCP8.5 based on SSP5 Or to look at all of the variables in your netcfd4 file, you can just print 'file2read': print(file2read)Īnd the output will include something like this (look at the end specifically): source_id: GFDL-ESM4 Which will give an output like this: dict_keys() To look at all of the variable keys: print(()) I am using Windows, so file directory will be different than for Mac or Linux. Where cwd is my current working directory for getting the file path for the. Var1 = file2read.variables # access a variable in the file

If you want to check the various dimensions of your data so you know what you can plot simply do print(nc.shape)įor netCDF4 files (with python 3), use: import netCDF4įile2read = netCDF4.Dataset(cwd+'ilename.nc','r') Iteration of the vertical slize with y = 0, one of the vertical '''Īccording to what I have said before this will plot the second ''' in this dataset each component will be

Nc = netCDF4.Dataset(fp) # reading the nc file and creating Dataset To answer your question I commented the code: from matplotlib import pyplot as plt # import librariesįp='uwstemp.nc' # your file name with the eventual path Then a quick way to plot say layer z at time t is: plt.contourf(data) Temp = file2read.variables # var can be 'Theta', 'S', 'V', 'U' etc. The easiest way to read the data is: file2read = netcdf.NetCDFFile(path+'state.nc','r') Say you have your state.nc output.įirst of all make sure you import all you need: from scipy.io import netcdf

Read cdf files python