Trying to untangle my pycharm files. Decided to run other map code in the Maps project
by simply creating additional .python files, which get run just like main.py. Copilot nailed
it for me: 'main' is only a convention, there is nothing magical about it:
Cartopy supports a wide range of map projections, including cylindrical, conic, azimuthal, and globe-like views. You can choose among them depending on whether you want accuracy (equal-area, conformal) or aesthetics (compromise projections like Robinson).
🌍 Major Projections in Cartopy
Here’s a breakdown of the most commonly used ones:
⚖️ Choosing the Right Projection
Global thematic maps: Robinson, Mollweide, Goode Homolosine.
Navigation: Mercator, Transverse Mercator.
Area accuracy: Albers Equal Area, Lambert Azimuthal Equal Area.
Polar studies: Stereographic, Orthographic.
Quick lat/lon plotting: PlateCarree.
📌 Takeaway: Cartopy supports dozens of projections, from simple PlateCarree to advanced equal-area and conformal systems. You can swap projections by changing the projection argument in your plotting code.
You can explore the full list in the Cartopy documentation.
Cartopy projection list — cartopy 0.15.0 documentation
Would you like me to show you a side-by-side example of the same dataset plotted in three different projections (say PlateCarree, Robinson, and Mollweide) so you can see how the choice changes the look and feel?






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