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/3951#issuecomment-610615886,https://api.github.com/repos/pydata/xarray/issues/3951,610615886,MDEyOklzc3VlQ29tbWVudDYxMDYxNTg4Ng==,6815844,2020-04-07T20:56:07Z,2020-04-07T20:56:07Z,MEMBER,"Thanks, @delgadom, for reporting this issue.
Reproduced.

I'll take a look.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,596115014
https://github.com/pydata/xarray/issues/3951#issuecomment-610615488,https://api.github.com/repos/pydata/xarray/issues/3951,610615488,MDEyOklzc3VlQ29tbWVudDYxMDYxNTQ4OA==,3698640,2020-04-07T20:55:11Z,2020-04-07T20:55:11Z,CONTRIBUTOR,"Here's a test script I'm using for this:

```bash

echo '$ conda create -n py37xr14 -c conda-forge --yes python=3.7 xarray=0.14.1'
conda create -n py37xr14 -c conda-forge --yes python=3.7 xarray=0.14.1 > /dev/null

echo '$ conda create -n py37xr15 -c conda-forge --yes python=3.7 xarray=0.15.1'
conda create -n py37xr15 -c conda-forge --yes python=3.7 xarray=0.15.1 > /dev/null

echo '$ conda run -n py37xr14 python test.py'
conda run -n py37xr14 python test.py

echo

echo '$ conda run -n py37xr15 python test.py'
conda run -n py37xr15 python test.py

echo
echo '$ conda list -n py37xr14'
conda list  -n py37xr14

echo
echo '$ conda list -n py37xr15'
conda list  -n py37xr15

conda env remove -n py37xr14 > /dev/null 2>&1
conda env remove -n py37xr15 > /dev/null 2>&1
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,596115014
https://github.com/pydata/xarray/issues/3951#issuecomment-610612332,https://api.github.com/repos/pydata/xarray/issues/3951,610612332,MDEyOklzc3VlQ29tbWVudDYxMDYxMjMzMg==,3698640,2020-04-07T20:47:51Z,2020-04-07T20:47:51Z,CONTRIBUTOR,yeah I use this pattern all the time - df.stack().to_xarray() seems to now fail unless your columns were sorted alphabetically. not sure yet where this is happening but it does result in some pernicious bad data errors that can be hard to debug if you catch them at all.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,596115014
https://github.com/pydata/xarray/issues/3951#issuecomment-610598791,https://api.github.com/repos/pydata/xarray/issues/3951,610598791,MDEyOklzc3VlQ29tbWVudDYxMDU5ODc5MQ==,5635139,2020-04-07T20:17:24Z,2020-04-07T20:17:24Z,MEMBER,Thanks for the issue @delgadom . This looks like a fairly significant bug. I'll try and look more at it later; if anyone else can @pydata/xarray that would be great.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,596115014