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
https://github.com/pydata/xarray/issues/2216#issuecomment-394771642,https://api.github.com/repos/pydata/xarray/issues/2216,394771642,MDEyOklzc3VlQ29tbWVudDM5NDc3MTY0Mg==,731499,2018-06-05T16:19:38Z,2018-06-05T16:19:38Z,CONTRIBUTOR,"Apparently not. 
https://stackoverflow.com/questions/48227792/how-to-change-dpi-of-my-pandas-dataframe-plot","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329483009
https://github.com/pydata/xarray/issues/1719#issuecomment-371970858,https://api.github.com/repos/pydata/xarray/issues/1719,371970858,MDEyOklzc3VlQ29tbWVudDM3MTk3MDg1OA==,731499,2018-03-09T23:06:20Z,2018-03-09T23:06:20Z,CONTRIBUTOR,Has this behavior been fixed by the change to NetCDF4 ? https://github.com/Unidata/netcdf4-python/issues/743,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,274298111
https://github.com/pydata/xarray/pull/1198#issuecomment-287099757,https://api.github.com/repos/pydata/xarray/issues/1198,287099757,MDEyOklzc3VlQ29tbWVudDI4NzA5OTc1Nw==,731499,2017-03-16T15:46:14Z,2017-03-16T15:46:14Z,CONTRIBUTOR,"with that keyword the open_mfdataset goes through !
my code crashes later because the data is too big to fit in memory, but that's another problem ;-)","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,199900056
https://github.com/pydata/xarray/pull/1198#issuecomment-287058651,https://api.github.com/repos/pydata/xarray/issues/1198,287058651,MDEyOklzc3VlQ29tbWVudDI4NzA1ODY1MQ==,731499,2017-03-16T13:37:05Z,2017-03-16T13:37:05Z,CONTRIBUTOR,"Hey @pwolfram, I installed your branch and tried to `open_mfdataset` on 1474 hdf5 files.

I got the following:
```
  File ""/users/noel/.conda/envs/python3/lib/python3.6/site-packages/xarray/backends/api.py"", line 524, in open_mfdataset
  File ""/users/noel/.conda/envs/python3/lib/python3.6/site-packages/xarray/backends/api.py"", line 524, in <listcomp>
  File ""/users/noel/.conda/envs/python3/lib/python3.6/site-packages/xarray/backends/api.py"", line 299, in open_dataset
  File ""/users/noel/.conda/envs/python3/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 203, in __init__
  File ""/users/noel/.conda/envs/python3/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 178, in _open_netcdf4_group
  File ""netCDF4/_netCDF4.pyx"", line 1848, in netCDF4._netCDF4.Dataset.__init__ (netCDF4/_netCDF4.c:13992)
OSError: Too many open files
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,199900056
https://github.com/pydata/xarray/pull/1291#issuecomment-284435076,https://api.github.com/repos/pydata/xarray/issues/1291,284435076,MDEyOklzc3VlQ29tbWVudDI4NDQzNTA3Ng==,731499,2017-03-06T15:46:23Z,2017-03-06T15:46:23Z,CONTRIBUTOR,I hope everything's ok now. Thanks for the hand-holding,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,211391408
https://github.com/pydata/xarray/pull/1291#issuecomment-283930759,https://api.github.com/repos/pydata/xarray/issues/1291,283930759,MDEyOklzc3VlQ29tbWVudDI4MzkzMDc1OQ==,731499,2017-03-03T11:25:06Z,2017-03-03T11:25:06Z,CONTRIBUTOR,Can anyone knowledgeable tell me how to fix the appveyor build? It's complaining of a failing `test_dask_distributed_integration_test`...,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,211391408
https://github.com/pydata/xarray/pull/1291#issuecomment-283694163,https://api.github.com/repos/pydata/xarray/issues/1291,283694163,MDEyOklzc3VlQ29tbWVudDI4MzY5NDE2Mw==,731499,2017-03-02T15:59:49Z,2017-03-02T16:51:10Z,CONTRIBUTOR,"thanks ! Do we need to worry about the ""appveyor"" build fails? The failure seems to happen somewhere unrelated","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,211391408
https://github.com/pydata/xarray/pull/1291#issuecomment-283682931,https://api.github.com/repos/pydata/xarray/issues/1291,283682931,MDEyOklzc3VlQ29tbWVudDI4MzY4MjkzMQ==,731499,2017-03-02T15:22:03Z,2017-03-02T15:22:03Z,CONTRIBUTOR,I have added a couple of exceptions to the `_infer_xy_labels` function and updated the tests as best I could,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,211391408
https://github.com/pydata/xarray/issues/1249#issuecomment-277969098,https://api.github.com/repos/pydata/xarray/issues/1249,277969098,MDEyOklzc3VlQ29tbWVudDI3Nzk2OTA5OA==,731499,2017-02-07T11:14:42Z,2017-02-07T11:14:42Z,CONTRIBUTOR,"ok, I see. In case there's a vote, I vote for raising an error in 1D too :-)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1249#issuecomment-277767832,https://api.github.com/repos/pydata/xarray/issues/1249,277767832,MDEyOklzc3VlQ29tbWVudDI3Nzc2NzgzMg==,731499,2017-02-06T18:22:08Z,2017-02-06T18:22:08Z,CONTRIBUTOR,"I don't understand the ""raise an error"" option. Would it mean that creating a Dataset with 1D arrays with no named dimension would raise an error? That would be very impractical. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1247#issuecomment-277336569,https://api.github.com/repos/pydata/xarray/issues/1247,277336569,MDEyOklzc3VlQ29tbWVudDI3NzMzNjU2OQ==,731499,2017-02-03T19:17:09Z,2017-02-03T19:17:09Z,CONTRIBUTOR,"you mean, within numpy?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205215815
https://github.com/pydata/xarray/pull/1198#issuecomment-277276242,https://api.github.com/repos/pydata/xarray/issues/1198,277276242,MDEyOklzc3VlQ29tbWVudDI3NzI3NjI0Mg==,731499,2017-02-03T15:27:04Z,2017-02-03T15:27:04Z,CONTRIBUTOR,"I'm just chiming in to signify my interest in seeing this issue solved. I have just hit ""OSError: Too many open files"". The data itself is not even huge, but it's scattered across many files and it's a PITA to revert to manual concatenation -- I've grown used to dask doing the work for me ;-)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,199900056
https://github.com/pydata/xarray/pull/1205#issuecomment-272415578,https://api.github.com/repos/pydata/xarray/issues/1205,272415578,MDEyOklzc3VlQ29tbWVudDI3MjQxNTU3OA==,731499,2017-01-13T10:52:32Z,2017-01-13T10:52:32Z,CONTRIBUTOR,"As it is, the xarray code becomes tied up with cartopy. If cartopy somehow changes its syntax (e.g. by renaming the `transform` kw) this code won't work. 

Maybe there's another, more abstract way to do this?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200593854
https://github.com/pydata/xarray/pull/1205#issuecomment-272414593,https://api.github.com/repos/pydata/xarray/issues/1205,272414593,MDEyOklzc3VlQ29tbWVudDI3MjQxNDU5Mw==,731499,2017-01-13T10:47:28Z,2017-01-13T10:47:28Z,CONTRIBUTOR,"One concern I have is that it is conceivable that one might pass a `transform` keyword to `plot()` intended to interact with another library that hijacks matplotlib (i.e. not cartopy). In that case, matplotlib will get an unintended `projection` argument. That is a corner case though.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200593854
https://github.com/pydata/xarray/issues/1201#issuecomment-272409178,https://api.github.com/repos/pydata/xarray/issues/1201,272409178,MDEyOklzc3VlQ29tbWVudDI3MjQwOTE3OA==,731499,2017-01-13T10:19:08Z,2017-01-13T10:19:08Z,CONTRIBUTOR,I don't understand what you mean by 'adding you own to the signature'. Adding my own what to what signature?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200364693
https://github.com/pydata/xarray/issues/1201#issuecomment-272395987,https://api.github.com/repos/pydata/xarray/issues/1201,272395987,MDEyOklzc3VlQ29tbWVudDI3MjM5NTk4Nw==,731499,2017-01-13T09:14:30Z,2017-01-13T09:14:30Z,CONTRIBUTOR,"I am confused. 

I planned to identify the plotting function that accepted the `transform` keyword (used in the code sample above), and add its value in `subplot_kws` if it wasn't already.

However it looks like no xarray code contains the `transform` keyword. However I definitely can use it in calls to `plot()`. I don't understand what is going on. Can someone enlighten me?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200364693
https://github.com/pydata/xarray/issues/1202#issuecomment-272173661,https://api.github.com/repos/pydata/xarray/issues/1202,272173661,MDEyOklzc3VlQ29tbWVudDI3MjE3MzY2MQ==,731499,2017-01-12T14:16:29Z,2017-01-12T14:16:29Z,CONTRIBUTOR,I have found in issue #604 a example of how to do this. I have submitted in issue #1203 a change to the docs.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,200369077
https://github.com/pydata/xarray/pull/1088#issuecomment-258854045,https://api.github.com/repos/pydata/xarray/issues/1088,258854045,MDEyOklzc3VlQ29tbWVudDI1ODg1NDA0NQ==,731499,2016-11-07T14:45:24Z,2016-11-07T14:45:24Z,CONTRIBUTOR,"I was briefly confused by the examples as at first they seemed to me to do nothing -- read data and forget it. This change prevents any similar confusion :-)
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187661575