html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6875#issuecomment-1206383107,https://api.github.com/repos/pydata/xarray/issues/6875,1206383107,IC_kwDOAMm_X85H5_ID,7092865,2022-08-05T12:20:09Z,2022-08-05T12:20:09Z,NONE,"> Do people really look into the `setup.cfg` file when installing a package?

yes, especially people like me who do central software installations in a HPC cluster (for example with EasyBuild) and who want to have full control over the package versions that are installed (which is essential for scientific reproducibility).
this is indeed a small minority, but note that a lot of people are using our centrally installed packages.

","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1328259769
https://github.com/pydata/xarray/issues/6875#issuecomment-1206362047,https://api.github.com/repos/pydata/xarray/issues/6875,1206362047,IC_kwDOAMm_X85H55-_,43316012,2022-08-05T11:53:31Z,2022-08-05T11:53:31Z,COLLABORATOR,"> maybe you could add a comment to the setup.cfg file along the lines of ""recommended numpy version >= 1.22"" to better indicate this?

Do people really look into the `setup.cfg` file when installing a package? I would assume >99% of the people simply do `pip/conda install xarray`
But I guess a comment does not hurt anyone.

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1328259769
https://github.com/pydata/xarray/issues/6875#issuecomment-1205334996,https://api.github.com/repos/pydata/xarray/issues/6875,1205334996,IC_kwDOAMm_X85H1_PU,7092865,2022-08-04T14:28:37Z,2022-08-04T14:28:37Z,NONE,"> As clearly stated in the documentation that you linked the supported methods depend on your installed numpy version.

indeed, I should have read the docs more carefully.

it's a bit annoying though: from the requirements I expected that numpy 1.19 would provide full support for all methods that xarray provides. maybe you could add a comment to the setup.cfg file along the lines of  ""recommended numpy version  >= 1.22"" to better indicate this?

I am not a direct user of this package, I just install it for our HPC users, but your suggestions to improve the error message and docs seem good to me.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1328259769
https://github.com/pydata/xarray/issues/6875#issuecomment-1205292116,https://api.github.com/repos/pydata/xarray/issues/6875,1205292116,IC_kwDOAMm_X85H10xU,14808389,2022-08-04T13:54:32Z,2022-08-04T14:00:09Z,MEMBER,"we could probably have a nicer error message, the one from `numpy` might be a bit confusing:
```pytb
ValueError: interpolation can only be 'linear', 'lower' 'higher', 'midpoint', or 'nearest'
```
Maybe something like this?
```pytb
ValueError: interpolation method '{method}' requires numpy >= 1.22
```

Edit: while we're at it, we could also make that caveat in the docstring a bit easier to see by moving it to its own paragraph within the the parameter description, and actually add a literal `*` somewhere","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1328259769
https://github.com/pydata/xarray/issues/6875#issuecomment-1205282926,https://api.github.com/repos/pydata/xarray/issues/6875,1205282926,IC_kwDOAMm_X85H1yhu,43316012,2022-08-04T13:47:44Z,2022-08-04T13:47:44Z,COLLABORATOR,"What exactly is the problem?
As clearly stated in the documentation that you linked the supported methods depend on your installed numpy version.

The oldest numpys version that will be supported is at least 18 month old, so 1.19 is still correct.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1328259769