id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
671108068,MDExOlB1bGxSZXF1ZXN0NDYxMzM1NDAx,4296,Increase support window of all dependencies,6213168,closed,0,6213168,,7,2020-08-01T18:55:54Z,2020-08-14T09:52:46Z,2020-08-14T09:52:42Z,MEMBER,,0,pydata/xarray/pulls/4296,"Closes #4295

Increase width of the sliding window for minimum supported version:
- setuptools from 6 months sliding window to hardcoded >= 38.4, and to 42 months sliding window starting from July 2021
- dask and distributed from 6 months sliding window to hardcoded >= 2.9, and to 12 months sliding window starting from January 2021
- all other libraries from 6 months to 12 months sliding window","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4296/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
522935511,MDExOlB1bGxSZXF1ZXN0MzQxMDM3NTg5,3533,2x~5x speed up for isel() in most cases,6213168,closed,0,,,7,2019-11-14T15:34:24Z,2019-12-05T16:45:40Z,2019-12-05T16:39:40Z,MEMBER,,0,pydata/xarray/pulls/3533,"Yet another major improvement for #2799.

Achieve a 2x to 5x boost in isel performance when slicing small arrays by int, slice, list of int, scalar ndarray, or 1-dimensional ndarray.

```python
import xarray

da = xarray.DataArray([[1, 2], [3, 4]], dims=['x', 'y'])
v = da.variable
a = da.variable.values
ds = da.to_dataset(name=""d"")

ds_with_idx = xarray.Dataset({
    'x': [10, 20],
    'y': [100, 200],
    'd': (('x', 'y'), [[1, 2], [3, 4]])
})
da_with_idx = ds_with_idx.d

# before -> after
%timeit a[0] # 121 ns
%timeit v[0] # 7 µs
%timeit v.isel(x=0) # 10 µs
%timeit da[0]  # 65 µs -> 15 µs
%timeit da.isel(x=0)  # 63 µs -> 13 µs
%timeit ds.isel(x=0)  # 48 µs -> 24 µs
%timeit da_with_idx[0]  # 209 µs -> 82 µs
%timeit da_with_idx.isel(x=0, drop=False)  # 135 µs -> 34 µs
%timeit da_with_idx.isel(x=0, drop=True)  # 101 µs -> 34 µs
%timeit ds_with_idx.isel(x=0, drop=False)  # 90 µs -> 49 µs
%timeit ds_with_idx.isel(x=0, drop=True)  # 65 µs -> 49 µs
```

Marked as WIP because this commands running the asv suite to verify there are no regressions for large arrays.
(on a separate note, we really need to add the small size cases to asv - as discussed in #3382).

This profoundly alters one of the most important methods in xarray and I must confess it makes me nervous, particularly as I am unsure if the test coverage of  DataArray.isel() is as through as that for Dataset.isel().","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3533/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
497945632,MDExOlB1bGxSZXF1ZXN0MzIwOTgwNzIw,3340,CI environments overhaul,6213168,closed,0,,,7,2019-09-24T22:01:10Z,2019-09-25T01:50:08Z,2019-09-25T01:40:55Z,MEMBER,,0,pydata/xarray/pulls/3340,"Propaedeutic CI work to #3222.

- py36 and py37 are now identical
- Many optional dependencies were missing in one test suite or another (see details below)
- Tests that require hypothesis now always run if hypothesis is installed
- py37-windows.yml requirements file has been rebuilt starting from py37.yml
- Sorted requirements files alphabetically for better maintainability
- Added black. This is not needed by CI, but I personally use these yaml files to deploy my dev environment and I would expect many more developers to do the same.
  Alternatively, we could go the other way around and remove flake8 from everywhere and mypy from py36 and py37-windows. IMHO the marginal speedup would not be worth the complication.

Added packages to py36.yml (net of changes in order):
+ black
+ hypothesis
+ nc-time-axis
+ numba
+ numbagg
+ pynio (https://github.com/pydata/xarray/issues/3154 seems to be now fixed upstream)
+ sparse

Added packages to py37.yml (net of changes in order):

+ black
+ cdms2
+ hypothesis
+ iris>=1.10
+ numba (previously implicitly installed from pip by numbagg; now installed from conda)
+ pynio

Added packages to py37-windows.yml (net of changes in order):

+ black
+ bottleneck
+ flake8
+ hypothesis
+ iris>=1.10
+ lxml
+ mypy==0.720
+ numba
+ numbagg
+ pseudonetcdf>=3.0.1
+ pydap
+ sparse
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3340/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
462401539,MDExOlB1bGxSZXF1ZXN0MjkzMTAxODQx,3065,kwargs.pop() cleanup,6213168,closed,0,,,7,2019-06-30T12:47:07Z,2019-07-09T20:06:13Z,2019-07-01T01:58:50Z,MEMBER,,0,pydata/xarray/pulls/3065,"- Clean up everywhere the pattern
```
def my_func(*args, **kwargs):
    my_optional_arg = kwargs.pop('my_optional_arg', None)
```
which was inherited from not being able to put named keyword arguments after ``*args`` in Python 2.

- Fix bug in SplineInterpolator where the ``__init__`` method would write to the class attributes of BaseInterpolator.
- ``map_dataarray`` was unintentionally and subtly relying on ``_process_cmap_cbar_kwargs`` to modify the kwargs in place. ``_process_cmap_cbar_kwargs`` is now strictly read-only and the modifications in kwargs have been made explicit in the caller function.
- Rename all 'kwds' to 'kwargs' for sake of coherency","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3065/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
254841785,MDExOlB1bGxSZXF1ZXN0MTM5MDI5NzMx,1551,Load nonindex coords ahead of concat(),6213168,closed,0,,2415632,7,2017-09-02T23:19:03Z,2017-10-09T23:32:50Z,2017-10-09T21:15:31Z,MEMBER,,0,pydata/xarray/pulls/1551," - [x] Closes #1521
 - [x] Tests added / passed
 - [x] Passes ``git diff upstream/master | flake8 --diff``
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1551/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull