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
594669577,MDU6SXNzdWU1OTQ2Njk1Nzc=,3937,"compose weighted with groupby, coarsen, resample, rolling etc.",10194086,open,0,,,7,2020-04-05T22:00:40Z,2023-07-27T18:10:10Z,,MEMBER,,,,"It would be nice to make `weighted` work with `groupby` - e.g. [#3935 (comment)](https://github.com/pydata/xarray/pull/3935/files#r403742055)

However, it is not entirely clear to me how that should be done. One way would be to do:
```python
da.groupby(...).weighted(weights).mean()
```
this would require that the `groupby` operation is applied over the `weights` (how would this be done?)
Or should it be

```python
da.weighted(weights).groupby(...).mean()
```
but this seems less intuitive to me.

Or
```python
da.groupby(..., weights=weights).mean()
```


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975385095,MDU6SXNzdWU5NzUzODUwOTU=,5721,pandas deprecates Index.get_loc with method,10194086,closed,0,,,7,2021-08-20T08:24:16Z,2022-01-27T21:06:40Z,2022-01-27T21:06:40Z,MEMBER,,,,"pandas deprecates the `method` keyword in `Index.get_loc`, see pandas-dev/pandas#42269. Therefore we end up with about 5000 warnings in our upstream tests:

`FutureWarning: Passing method to Index.get_loc is deprecated and will raise in a future version. Use index.get_indexer([item], method=...) instead`

We should fix this before pandas releases because the warning will not be silent (`FutureWarning`) or ask pandas to give us more time and use a `DeprecationWarning` at the moment.

<details>

We use this here:


https://github.com/pydata/xarray/blob/4bb9d9c6df77137f05e85c7cc6508fe7a93dc0e4/xarray/core/indexes.py#L233-L235

Is this only ever called with one item? Then we might be able to use 

```python
 indexer = self.index.get_indexer( 
     [label_value], method=method, tolerance=tolerance 
 ).item()
if indexer == -1:
    raise KeyError(label_value)
```

---

https://github.com/pydata/xarray/blob/3956b73a7792f41e4410349f2c40b9a9a80decd2/xarray/core/missing.py#L571-L572
This one could be easy to fix (replace with `imin = index.get_indexer([minval], method=""nearest"").item()`)

---

It is also defined in `CFTimeIndex`, which complicates things:

https://github.com/pydata/xarray/blob/eea76733770be03e78a0834803291659136bca31/xarray/coding/cftimeindex.py#L461-L466

because `get_indexer` expects an iterable and thus the `if isinstance(key, str)` test no longer works.

</details>

@benbovy @spencerkclark ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5721/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
407864596,MDU6SXNzdWU0MDc4NjQ1OTY=,2754,silence warning for decode_cf_datetime?,10194086,closed,0,,,7,2019-02-07T19:38:38Z,2019-02-19T20:47:26Z,2019-02-19T20:47:26Z,MEMBER,,,,"#### Code Sample, a copy-pastable example if possible

```python
import xarray as xr
import numpy as np

x = np.arange(100) * 365
x = xr.coding.times.decode_cf_datetime(x, 'days since 2400-01-01', 
        calendar='proleptic_gregorian')

```
#### Problem description

xarray still throws an error when decoding out-of-bounds dates for proleptic_gregorian - should this be silenced?

#### Output of ``xr.show_versions()``

<details>
# Paste the output here xr.show_versions() here
NSTALLED VERSIONS
------------------
commit: None
python: 3.7.1 | packaged by conda-forge | (default, Nov 13 2018, 18:33:04) 
[GCC 7.3.0]
python-bits: 64
OS: Linux
OS-release: 4.4.172-86-default
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8
libhdf5: 1.10.4
libnetcdf: 4.6.2

xarray: 0.11.3
pandas: 0.24.1
numpy: 1.16.1
scipy: 1.2.0
netCDF4: 1.4.2
pydap: None
h5netcdf: 0.6.2
h5py: 2.9.0
Nio: None
zarr: None
cftime: 1.0.3.4
PseudonetCDF: None
rasterio: 1.0.17
cfgrib: None
iris: None
bottleneck: 1.2.1
cyordereddict: None
dask: 1.1.1
distributed: 1.25.3
matplotlib: 3.0.2
cartopy: 0.17.0
seaborn: 0.9.0
setuptools: 40.7.3
pip: 19.0.1
conda: None
pytest: 4.2.0
IPython: 7.2.0
sphinx: 1.8.4
</details>
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