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  • mrocklin · 3 ✖

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  • bad conda solve with pandas 2 · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1510444389 https://github.com/pydata/xarray/issues/7716#issuecomment-1510444389 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85aB41l mrocklin 306380 2023-04-16T17:57:26Z 2023-04-16T17:57:26Z MEMBER

That makes sense. Just following up, but this fails today:

yaml name: test-1 channels: - conda-forge dependencies: - xarray - pandas=2

It sounds like this will work itself out though and no further work here needs to be done (unless someone wants to go press some green buttons on conda-forge somewhere)

 
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   bad conda solve with pandas 2 1654022522
1510434421 https://github.com/pydata/xarray/issues/7716#issuecomment-1510434421 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85aB2Z1 mrocklin 306380 2023-04-16T17:10:12Z 2023-04-16T17:10:12Z MEMBER

This was the environment, solved on M1 Mac

yaml name: coiled channels: - conda-forge - defaults dependencies: - python==3.10 - dask - dask-ml - coiled - pyarrow - s3fs - matplotlib - ipykernel - dask-labextension - xgboost - pandas=2 - optuna - xarray - geogif - zarr - pip - pip: - git+https://github.com/optuna/optuna

I can try to minify this in a bit, although I'm on airport wifi right now, and it has started to kick me off, I suspect due to these sorts of activities. 

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   bad conda solve with pandas 2 1654022522
1510432559 https://github.com/pydata/xarray/issues/7716#issuecomment-1510432559 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85aB18v mrocklin 306380 2023-04-16T17:01:50Z 2023-04-16T17:01:50Z MEMBER

I'm still running into this today when using only conda-forge

Encountered problems while solving: - package xarray-2023.1.0-pyhd8ed1ab_0 requires pandas >=1.3,<2a0, but none of the providers can be installed

When I add defaults the problem goes away

yaml channels: - conda-forge - defaults

 
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   bad conda solve with pandas 2 1654022522

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