@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.

#ICYMI

Last night, @ruthpozuelo and I found out that #Basemap (the legacy map plotting module of #python) was not dead after all, and that a small team of developers are taking care of it.

This can be of interest for those of you that have not fully transitioned to #Cartopy yet (I have).

https://fediscience.org/@lavergnetho/109428972365252890

@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.

@ruthpozuelo

Yes I saw ! What a plot twist ! Basemap is maintained after all.

I will personally stick to #Cartopy, but #Basemap's users will be happy to know that someone is taking care of them.

https://github.com/matplotlib/basemap/issues/568#issuecomment-1331235348

@ruthpozuelo

Hei Ruth. #Basemap is now deprecated, not maintained anymore, and everyone is advised to use #cartopy.

For example see: https://matplotlib.org/basemap/users/intro.html#deprecation-notice

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

@phil_browne

If this is made with #cartopy, this #python notebook about how to plot the ice sheets and shelves around #Antarctica might be of interest.

https://github.com/TomLav/snippets/blob/main/Cartopy%20Ice%20Sheet%20and%20Shelves.ipynb

#30DayMapChallenge day 23 - movement (update).

After having gone through all of my maps and code again to reformat my github repo, I discovered I actually could use #cartopy after all. For some reason it wont install in my #conda environment but I did get it to work on day 9 using #mambaforge.

When I switched my day 23 kernel to mambaforge it worked perfectly so I'm now able to share the finalised verson of that day's #map.

#DataScience #DataVisualisation #datadon #python

#30DayMapChallenge day 23 - movement

Map depicts global flightpaths.

This didn't quite go to plan as I'm still having issues installing #cartopy and I'm yet to figure out an alternative method of manipulating #shapely linestrings so that they take the curvature of the earth into consideration. I'm marking this one a work in progress, hopefully I'll be able to share a finished version before the end of the challenge 🤞

#DataScience #maps #python

34 Monate #Corona im Film: Die Entwicklung der RKI-Inzidenzen und Altersgruppen seit 1.1.2020 aufgelöst nach Kreisen. Und #python + #matplotlib + #cartopy-Code, der die Filme macht: https://blog.tfiu.de/34-monate-corona-im-film.html
#zuengeln

Wow, beautiful!

QT oceanographer: Antarctic Circumpolar Current - the strongest ocean current on Earth.

Simulated by \@AWI_Media #FESOM ocean model with 3 km resolution in the Southern Ocean. Figure created in python with help of \@xarray_dev \@SciPy_team \@matplotlib and #cartopy.

We are a group of open source scientific programmers that are developing tools for working with data expressed in spherical harmonics. pyshtools is a python frontend that allows you to read public datasets expressed in spherical harmonics, create grids from the coefficients, and to perform various global and local spectral analyses. Publication quality maps can be produced thanks to #pygmt and #cartopy.

If you want to learn more, check out out our web site:
shtools.github.io/shtools/