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  • lusewell · 5 ✖

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  • CONTRIBUTOR · 5 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
917924524 https://github.com/pydata/xarray/pull/5640#issuecomment-917924524 https://api.github.com/repos/pydata/xarray/issues/5640 IC_kwDOAMm_X842tmqs lusewell 3801015 2021-09-13T07:39:22Z 2021-09-13T07:39:22Z CONTRIBUTOR

Fixed other usages and added to whats-new.rst

 
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   Fix performance bug from cftime import 954574705
916837170 https://github.com/pydata/xarray/pull/5640#issuecomment-916837170 https://api.github.com/repos/pydata/xarray/issues/5640 IC_kwDOAMm_X842pdMy lusewell 3801015 2021-09-10T11:36:35Z 2021-09-10T11:36:35Z CONTRIBUTOR

@spencerkclark

RE perfomance.

Its only a performance issue to attempt to import cftime repeatedly. Having it fail once in the top level import is not a big problem. The issue comes when it does it thousands of times every time you try and .sel or .isel, which then adds up to a huge performance hit. Given xarray takes a while to import anyway, the marginal cost of search ing the full pythonpath 3 times in import is minimal - only an issue when done repeatedly.

I've fixed this for some other cases I've found that were causing me slowness - would like me to changeanythinng else before this can be merged?

 
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   Fix performance bug from cftime import 954574705
916834298 https://github.com/pydata/xarray/pull/5640#issuecomment-916834298 https://api.github.com/repos/pydata/xarray/issues/5640 IC_kwDOAMm_X842pcf6 lusewell 3801015 2021-09-10T11:30:47Z 2021-09-10T11:30:47Z CONTRIBUTOR

So i've found another instance of this which causes a performance issue - this one with groupby.

 
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   Fix performance bug from cftime import 954574705
888122071 https://github.com/pydata/xarray/pull/5640#issuecomment-888122071 https://api.github.com/repos/pydata/xarray/issues/5640 IC_kwDOAMm_X84076rX lusewell 3801015 2021-07-28T08:32:44Z 2021-07-28T08:32:44Z CONTRIBUTOR

I'd also like to append this to tag 14.1 and make tag 14.2 if possible - would this be ok?

 
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   Fix performance bug from cftime import 954574705
852334068 https://github.com/pydata/xarray/issues/5424#issuecomment-852334068 https://api.github.com/repos/pydata/xarray/issues/5424 MDEyOklzc3VlQ29tbWVudDg1MjMzNDA2OA== lusewell 3801015 2021-06-01T18:01:05Z 2021-06-01T18:01:05Z CONTRIBUTOR

Annoyingly the bug affects pretty much every bottleneck function, not just max, and I'm dealing with a large codebase where lots of the code just uses the methods attached to the xr.DataArrays.

Is there a way of disabling use of bottleneck inside xarray without uninstalling bottleneck? And if so do you know if this is expected to give the same results? Pandas (probably a few versions ago now) had a situation where if you uninstalled bottleneck it would use some other routine, but the nan-handling was then different - I think it caused the all-nan sum to flick between nan and zero if I recall.

Quick response appreciated though, and I might have a delve into fixing bottleneck myself if I get the free time.

 
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   Bottleneck bug with unusual strides - causes segfault or wrong number 908464731

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