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/3222#issuecomment-537862374,https://api.github.com/repos/pydata/xarray/issues/3222,537862374,MDEyOklzc3VlQ29tbWVudDUzNzg2MjM3NA==,6213168,2019-10-03T09:18:41Z,2019-10-03T09:18:41Z,MEMBER,scipy 1.1 and 1.2 break numpy 1.14 due to a conflict on openblas. We're stuck with 1.0 at least until the next numpy upgrade.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,481250429
https://github.com/pydata/xarray/issues/3222#issuecomment-537853919,https://api.github.com/repos/pydata/xarray/issues/3222,537853919,MDEyOklzc3VlQ29tbWVudDUzNzg1MzkxOQ==,6213168,2019-10-03T08:55:56Z,2019-10-03T08:55:56Z,MEMBER,"Ok, bumping pandas to >=0.24 and scipy to >=1.2","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,481250429
https://github.com/pydata/xarray/issues/3222#issuecomment-537131190,https://api.github.com/repos/pydata/xarray/issues/3222,537131190,MDEyOklzc3VlQ29tbWVudDUzNzEzMTE5MA==,6213168,2019-10-01T17:03:28Z,2019-10-01T17:03:28Z,MEMBER,"I slightly misinterpreted NEP-29. The above should be rectified:

**pandas:** 24 months (>=0.21)
**scipy:** 24 months (>=1.0)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,481250429
https://github.com/pydata/xarray/issues/3222#issuecomment-536772940,https://api.github.com/repos/pydata/xarray/issues/3222,536772940,MDEyOklzc3VlQ29tbWVudDUzNjc3Mjk0MA==,6213168,2019-09-30T22:08:27Z,2019-09-30T22:08:27Z,MEMBER,"Revised proposal (in parenthesis: minimum version if this policy were to be applied right now):

* **Python:** NEP-29; 42 months (>=3.6)
* **numpy:** NEP-29; 24 months (>=1.14)
* **pandas:** 24 months (>=0.20)
* **scipy:** 24 months (>=0.19)
* **NEP18 packages** (sparse, pint, etc.): very latest available only, at least until the technology has reasonably matured across the whole ecosystem. This extends to dask when used in conjunction with any of these packages. numpy >=1.17. A very recent version of pandas may also be required if necessary.
* **all other packages:** 6 months or the latest available in the anaconda (not conda-forge) repository if it exists, whatever is older.

*Note:* patch versions are not pinned. This means that the minimum python version that is guaranteed to work is actually 3.6.7 or 3.6.9, not 3.6.0.

What are people's thoughts?

It may also be a cool idea to write a script that parses the requirements yml files and generates .rst documentation out of them.
","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,481250429
https://github.com/pydata/xarray/issues/3222#issuecomment-535432625,https://api.github.com/repos/pydata/xarray/issues/3222,535432625,MDEyOklzc3VlQ29tbWVudDUzNTQzMjYyNQ==,6213168,2019-09-26T09:59:50Z,2019-09-26T09:59:50Z,MEMBER,"@shoyer that sounds sensible, but only covers python and numpy. What about the rest? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,481250429
https://github.com/pydata/xarray/issues/3222#issuecomment-535115143,https://api.github.com/repos/pydata/xarray/issues/3222,535115143,MDEyOklzc3VlQ29tbWVudDUzNTExNTE0Mw==,6213168,2019-09-25T16:57:36Z,2019-09-25T17:06:29Z,MEMBER,"How does this sound as a rolling policy?
- **Python**: latest 2 major versions published in official anaconda releases (as opposed to just the conda repository), plus the latest major version available version in conda-forge. Latest available minimum versions. This today translates to =3.6 and =3.7 (with no minor versions, so actually 3.6.7 and 3.7.4); 3.8 to be added as soon as conda-forge rebuilds its own stack with it.
- **numpy, pandas, scipy**: latest major version at least 1 year old; latest available minor version (which may be newer than 1 year old). Today this translates to numpy=1.15, pandas=0.23, scipy=1.1.
- **all other non-NEP18 packages**: 6 months old major versions, or the latest available in the anaconda (not conda-forge) repository if it exists, whatever is older
- **NEP18 packages** (sparse, pint, etc.): very latest available only, at least until the technology has reasonably matured across the whole ecosystem. This extends to dask when used to wrap NEP18 arrays. numpy >=1.17.
- **In all cases**: older versions than those stated by the above policy can remain officially supported indefinitely, but only as long as doing so can be achieved trivially and doesn't slow development down.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,481250429