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  • keewis · 3 ✖

issue 1

  • ds = xr.tutorial.load_dataset("air_temperature") with 0.18 needs engine argument · 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
841428388 https://github.com/pydata/xarray/issues/5291#issuecomment-841428388 https://api.github.com/repos/pydata/xarray/issues/5291 MDEyOklzc3VlQ29tbWVudDg0MTQyODM4OA== keewis 14808389 2021-05-14T18:37:02Z 2021-05-14T18:37:02Z MEMBER

It is pretty light but pulls in a few additional dependencies. For normal python package managers (i.e. pip / poetry / etc.) we can probably take advantage of the options.extra_requires setting.

We could also change the current message ("using the tutorial data requires pooch") to something like

the tutorial.open_* functions depend on pooch to download and manage datasets. To proceed please install it from PyPI or conda / conda-forge.

 
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   ds = xr.tutorial.load_dataset("air_temperature") with 0.18 needs engine argument 889162918
839317175 https://github.com/pydata/xarray/issues/5291#issuecomment-839317175 https://api.github.com/repos/pydata/xarray/issues/5291 MDEyOklzc3VlQ29tbWVudDgzOTMxNzE3NQ== keewis 14808389 2021-05-12T00:12:26Z 2021-05-12T00:17:58Z MEMBER

I think there's something wrong with your environment: I can't reproduce in a environment created by mamba create -n test python=3.9 mamba xarray=0.18 pooch=1.3 netcdf4=1.5 zarr=2.8

Edit: you could also try clearing ~/.xarray_tutorial_data / ~/.cache/xarray_tutorial_data

 
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   ds = xr.tutorial.load_dataset("air_temperature") with 0.18 needs engine argument 889162918
839319221 https://github.com/pydata/xarray/issues/5291#issuecomment-839319221 https://api.github.com/repos/pydata/xarray/issues/5291 MDEyOklzc3VlQ29tbWVudDgzOTMxOTIyMQ== keewis 14808389 2021-05-12T00:15:29Z 2021-05-12T00:15:29Z MEMBER

we could definitely improve the error message, though. Something like "unknown engine {engine}, please choose one of the installed engines: {engines}", maybe?

 
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   ds = xr.tutorial.load_dataset("air_temperature") with 0.18 needs engine argument 889162918

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