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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. mathause 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)

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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     xarray 13221727 issue
975385095 MDU6SXNzdWU5NzUzODUwOTU= 5721 pandas deprecates Index.get_loc with method mathause 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.

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.

@benbovy @spencerkclark 

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   completed xarray 13221727 issue
407864596 MDU6SXNzdWU0MDc4NjQ1OTY= 2754 silence warning for decode_cf_datetime? mathause 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()

# 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 
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   completed xarray 13221727 issue

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