For what it's worth, Rasterio has required Numpy for a few versions, and there's never been a single complaint about it. The footprint and extra complexity of numpy is just a drop in the bucket.
I suppose that someone using only the OGR parts of the Python bindings might be inconvenienced, but not by much. And I suspect that the number of these people who don't already have Numpy in their environment via GeoPandas or Shapely is pretty small. On Mon, Dec 4, 2023 at 3:52 PM Daniel Evans via gdal-dev < gdal-dev@lists.osgeo.org> wrote: > Agree with Kurt - it's always struck me as a little surprising that it was > optional. There's also not very much of a Python stack you can build that > involves GDAL but doesn't pull in Numpy through another dependency, as Even > said. > > I would've thought that in any constrained environment where GDAL is > required, but Numpy is too much of a overhead, that using Python would be a > somewhat unusual choice to go with over the many other bindings that GDAL > offers. > > Cheers, > Daniel > > On Mon, 4 Dec 2023, 18:50 Kurt Schwehr via gdal-dev, < > gdal-dev@lists.osgeo.org> wrote: > >> I lean towards just requiring numpy. It's super common and once a system >> brings in gdal python, it can't be a super constrained env where keeping >> things really small is critical. Just requiring numpy simplifies a number >> of aspects. >> >> I think the setup.py topic as a whole is somewhat separate.l. So >> whichever way the numpy dep goes (required or optional), switching to >> pyproject.toml seems important. I'm fairly new to pyproject.toml, so I >> might be missing something. >> >> -Kurt >> >> On Mon, Dec 4, 2023 at 10:38 AM Even Rouault via gdal-dev < >> gdal-dev@lists.osgeo.org> wrote: >> >>> Hi, >>> >>> The current situation where numpy is an optional dependency of the GDAL >>> Python bindings is quite cumbersome to deal with our setup.py's >>> setuptools . All details (a bit tricky) in >>> https://github.com/OSGeo/gdal/issues/8069 . It seems it would be >>> simpler >>> if the bindings just required numpy, which is the confugration most >>> people using the bindings likely actually end up using anyway. >>> >>> Any opposition to that? >>> >>> Even >>> >>> -- Sean Gillies
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