Python work flow for 1 GLM netCDF File to output the 6-panel plot
Hello, I have a question referring to your 6-panel plots. I'm trying to replicate your example script but for just one GLM netCDF file, and my end product is just a white (blank) figure. I've read all of the README files and the Doc's, however I'm still confused as how the data flow works. I know we must grid the data first, then can we make the 6-panel plots? Any help will suffice, I really like your plots, that's why I really want to figure this out!
Also I get an error that there is no module called 'from glmtools.io.dataset import GLMDataset
Hi @cnairy, the import error ("no module") might be because you haven't activated the conda environment (usually global) into which you installed glmtools.
Regarding the overall data flow, have you looked at plot_glm_test_data.ipynb in the examples directory? It should be a complete, self-contained example of basic processing.
Thanks for the reply! I got the 6 panel plots to work. However, when i try to complete the whole work flow i encounter a problem:
ModuleNotFoundError: No module named 'glmtools.plot.mapscale'
I do not see any module named mapscale in /glmtools/plot/
Thanks for your help!