@phil_browne @SigneAaboe I understand. I've mostly reprojected the data (using #pyresample) before plotting. But it is an overhead one might want to avoid.

@EL_Uatu @ruthpozuelo if you know the lat/lon of each of you crime "cell", and the projection information to go from x/y to lat/lon you can use #pyresample (from the #pytroll ecosystem).

That's what I use for plotting satelitte and weather data. But #cartopy or #basemap can probably do the transform for you if the ony thing you want is plotting.

@ruthpozuelo

Sure. I deal with operational, near-real-time applications that should be up-and-running 24/7. I cannot rely on non-maintained modules that will not install out-of-the-box (e.g. on recent #python3).

Thus, I was pushed from #Basemap to #Cartopy. Now I like it there, and I like the seamless integration with matplotlib and #pyresample (another tool I use a lot).

So essentially I moved already and will not turn back even if a small team now carries Basemap further.

Today, I stumbled upon a #python / #pyresample tutorial I had made for @oceanographer 's #earthpy back in 2013 😄 . These were my early #python and #notebook days...

It seems quite valid today, except for the py2.7 syntax and the use of Basemap.

Should I post an update with #cartopy and #py3 ?

http://earthpy.org/interpolation_between_grids_with_pyresample.html

Interpolation between grids with pyresample