#cartopy — Public Fediverse posts

#Projections for #30DayMapChallenege

An animation of 24 hours (from midnight at UTC+00:00) on Earth today, in four different projections: Left to right, top to bottom: #Orthographic, #Stereographic, Interrupted Goode Homolosine and #Spilhaus.

Plotted with #cartopy 's Nightshade function (repeated calls to get the different twilight zones) and #matplotlib at 15 minute time steps and then stacked together in #gimp

Background image is cartopy's `stock_img()`.

re-used some code I threw together recently to make a thing for changing my desktop background: https://tlohde.com/blog/2025/10/because-i-cant-afford-a-geochron/

#theTerminator #twilightZones #blog #geochron

Fyi, @ruthpozuelo (and others)

The #python #matplotlib #basemap module is now fully back on track, and the deprecation warning on their documentation page was removed. Congrats to the maintainer.

https://matplotlib.org/basemap/stable/index.html

Python has now once again two major map-plotting libraries: #basemap and #cartopy.

@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.

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

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

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

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

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

#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