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  • max-sixty · 3 ✖

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  • .sel return errors when using floats for no apparent reason · 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
1263807395 https://github.com/pydata/xarray/issues/7108#issuecomment-1263807395 https://api.github.com/repos/pydata/xarray/issues/7108 IC_kwDOAMm_X85LVCuj max-sixty 5635139 2022-09-30T16:59:06Z 2022-09-30T16:59:06Z MEMBER

Float indexes are often a source of pain, unfortunately!

...also for my ability to know what's going on, apparently :). Thanks a lot @benbovy .

Yes, that would be great to raise a more informative error. We could also put an issue in upstream if pandas itself has the same issue.

 
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   .sel return errors when using floats for no apparent reason 1391699976
1263070017 https://github.com/pydata/xarray/issues/7108#issuecomment-1263070017 https://api.github.com/repos/pydata/xarray/issues/7108 IC_kwDOAMm_X85LSOtB max-sixty 5635139 2022-09-30T03:49:51Z 2022-09-30T03:49:51Z MEMBER

Ah, right. Does it select a value with just nc_bug.sel(lon = 161.001, tolerance=0.1)? Because the lon value which that selects is probably the value you need to use in the slice.

Float indexes are often a source of pain, unfortunately!

 
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   .sel return errors when using floats for no apparent reason 1391699976
1263040310 https://github.com/pydata/xarray/issues/7108#issuecomment-1263040310 https://api.github.com/repos/pydata/xarray/issues/7108 IC_kwDOAMm_X85LSHc2 max-sixty 5635139 2022-09-30T02:47:13Z 2022-09-30T02:47:13Z MEMBER

Generally this is because the floats aren't exactly the same value — does passing tolerance=0.1 help?

 
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   .sel return errors when using floats for no apparent reason 1391699976

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