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/6758#issuecomment-1177245770,https://api.github.com/repos/pydata/xarray/issues/6758,1177245770,IC_kwDOAMm_X85GK1hK,731499,2022-07-07T08:26:26Z,2022-07-07T08:26:26Z,CONTRIBUTOR,"@dcherian Just to be complete, I thought the following one-liner would work as well:

```sums, x = np.histogram(latitude, bins, weights=array)```

but apparently it produces slightly different results for reasons I don't understand","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1295939038
https://github.com/pydata/xarray/issues/6758#issuecomment-1177163992,https://api.github.com/repos/pydata/xarray/issues/6758,1177163992,IC_kwDOAMm_X85GKhjY,731499,2022-07-07T06:53:52Z,2022-07-07T06:53:52Z,CONTRIBUTOR,"> > the IDL histogram function but in numpy.
> 
> Apparently [not](https://github.com/numpy/numpy/issues/9032) as [awesome!](http://www.idlcoyote.com/tips/histogram_tutorial.html)

Yeah, the present solution is less general, but most of the time I'm just counting stuff, and this is much faster than what I was doing, so I'm happy ;-)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1295939038
https://github.com/pydata/xarray/issues/6758#issuecomment-1176777842,https://api.github.com/repos/pydata/xarray/issues/6758,1176777842,IC_kwDOAMm_X85GJDRy,731499,2022-07-06T21:40:37Z,2022-07-06T21:40:37Z,CONTRIBUTOR,"@dcherian I just tested your numpy suggestions, and I'm getting 100x speedups compared to my naive numpy approach (~200µs vs ~20ms). Thankyouthankyouthankyou!
I've been doing this for years, I can't believe I've never run into that particular solution. It's like the IDL histogram function but in numpy. I'm going to use this like crazy
Thanks again","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1295939038
https://github.com/pydata/xarray/issues/6758#issuecomment-1176701867,https://api.github.com/repos/pydata/xarray/issues/6758,1176701867,IC_kwDOAMm_X85GIwur,731499,2022-07-06T20:37:12Z,2022-07-06T20:37:12Z,CONTRIBUTOR,"@dcherian this means that xarray's groupby_bins will always be slow unless flox is installed, correct? 
I have unfortunately little or no say on what packages are installed on the system that runs my code. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1295939038