docs: Better use of computational region in NumPy examples #6315
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The main interface doc for Python now shows how GRASS tools are used with arrays through grass.tools before showing direct conversions between GRASS rasters and NumPy arrays with grass.script.array.
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petrasovaa
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Sep 10, 2025
| tools = Tools() | ||
| tools.g_region(n=elevation_array.shape[0], s=0, | ||
| e=elevation_array.shape[1], w=0, res=1) | ||
| gs.create_project("xy_project") |
echoix
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This improves how computational region is handled in all NumPy examples. Specifically, it creates variables for number of rows and columns and only then sets the computational region to be clear what is happening.
This still has limited applicability as it works without a geographical context. Notably, NumPy arrays are generally not georeferenced, so XY project is applicable and I added creation of the project to the example. Maybe this is enough for the basic example.
While this builds on #6313 (and currently contains also the changes from there), I'm opening a separate PR to allow for a separate discussion on how to handle this.