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/pull/3713#issuecomment-578314288,https://api.github.com/repos/pydata/xarray/issues/3713,578314288,MDEyOklzc3VlQ29tbWVudDU3ODMxNDI4OA==,2448579,2020-01-24T21:45:43Z,2020-01-24T21:46:46Z,MEMBER,"> the most recent version released more than X months ago.
To me, this seems most sensible.
EDIT: crusaderky's 1 year proposal sounds good too","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552994673
https://github.com/pydata/xarray/pull/3713#issuecomment-578231137,https://api.github.com/repos/pydata/xarray/issues/3713,578231137,MDEyOklzc3VlQ29tbWVudDU3ODIzMTEzNw==,2448579,2020-01-24T17:47:10Z,2020-01-24T17:47:10Z,MEMBER,"bumping the following seems a little excessive to me.
```
bottleneck 1.2 (2017-09-18) 1.3 (2019-11-13) <
iris 2.2 (2018-10-12) 2.3 (2019-12-21) <
numba 0.44 (2019-06-18) 0.46 (2019-10-25) <
pseudonetcdf 3.0 (2019-07-18) 3.1 (2019-10-18) <
rasterio 1.0 (2018-12-21) 1.1 (2019-10-15) <
zarr 2.3 (2019-03-25) 2.4 (2020-01-11) <
```
Is anyone opposed to merging this PR in its current form and bumping up minimum versions at the next major release?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552994673
https://github.com/pydata/xarray/pull/3713#issuecomment-577253423,https://api.github.com/repos/pydata/xarray/issues/3713,577253423,MDEyOklzc3VlQ29tbWVudDU3NzI1MzQyMw==,2448579,2020-01-22T15:55:19Z,2020-01-22T15:55:19Z,MEMBER,"This output is confusing to me. It hasn't been 6 months since bottleneck 1.3 was released. Why is that the ""policy version"". Similarly for zarr 2.4
```
Package Required Policy Status
------------- -------------------- -------------------- ------
python 3.6 (2016-12-23) 3.6 (2016-12-23) =
boto3 1.9 (2018-09-10) 1.10 (2019-10-22) <
bottleneck 1.2 (2017-09-18) 1.3 (2019-11-13) <
cartopy 0.17 (2018-11-17) 0.17 (2018-11-17) =
cdms2 3.1 (2018-11-02) 3.1 (2018-11-02) =
cfgrib 0.9 (2019-02-25) 0.9 (2019-02-25) =
cftime 1.0 (2018-04-27) 1.0 (2018-04-27) =
dask 1.2 (2019-04-13) 2.2 (2019-08-01) <
distributed 1.27 (2019-04-12) 2.2 (2019-08-01) <
h5netcdf 0.7 (2019-02-27) 0.7 (2019-02-27) =
h5py 2.9 (2018-12-20) 2.10 (2019-09-10) <
hdf5 1.10 (2017-09-18) 1.10 (2017-09-18) =
iris 2.2 (2018-10-12) 2.3 (2019-12-21) <
lxml 4.4 (2019-07-27) 4.4 (2019-07-27) =
matplotlib 3.1 (2019-05-18) 3.1 (2019-05-18) =
nc-time-axis 1.2 (2019-01-25) 1.2 (2019-01-25) =
netcdf4 1.4 (2018-05-08) 1.4 (2018-05-08) =
numba 0.44 (2019-06-18) 0.46 (2019-10-25) <
numpy 1.15 (2018-07-27) 1.15 (2018-07-27) =
pandas 0.25 (2019-07-18) 0.25 (2019-07-18) =
pseudonetcdf 3.0 (2019-07-18) 3.1 (2019-10-18) <
pydap 3.2 (2018-10-16) 3.2 (2018-10-16) =
pynio 1.5 (2017-12-01) 1.5 (2017-12-01) =
rasterio 1.0 (2018-12-21) 1.1 (2019-10-15) <
scipy 1.3 (2019-05-28) 1.3 (2019-05-28) =
seaborn 0.9 (2018-07-17) 0.9 (2018-07-17) =
toolz 0.10 (2019-07-12) 0.10 (2019-07-12) =
zarr 2.3 (2019-03-25) 2.4 (2020-01-11) <
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552994673
https://github.com/pydata/xarray/pull/3713#issuecomment-576784963,https://api.github.com/repos/pydata/xarray/issues/3713,576784963,MDEyOklzc3VlQ29tbWVudDU3Njc4NDk2Mw==,2448579,2020-01-21T17:15:22Z,2020-01-21T17:15:22Z,MEMBER,"> as @jthielen said, it does not since I never realized we used nanquantile (did we change that recently?).
I changed it in this PR. But I guess I could just revert that bit","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552994673
https://github.com/pydata/xarray/pull/3713#issuecomment-576779512,https://api.github.com/repos/pydata/xarray/issues/3713,576779512,MDEyOklzc3VlQ29tbWVudDU3Njc3OTUxMg==,2448579,2020-01-21T17:03:15Z,2020-01-21T17:03:15Z,MEMBER,"@keewis: looks like pint doesn't have `nanquantile`? https://dev.azure.com/xarray/xarray/_build/results?buildId=1989&view=logs&jobId=78b48a04-306f-5a15-9ac3-dd2fdb28db5e&j=acc1347f-8235-55b0-95c7-0e2189e61659&t=7284452c-b1fa-561e-b473-09e477cf0d79
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,552994673