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
1579956621,I_kwDOAMm_X85eLDmN,7519,Selecting variables from Dataset with view on dict keys is of type DataArray,25172489,closed,0,,,7,2023-02-10T16:02:19Z,2024-04-28T21:01:28Z,2024-04-28T21:01:27Z,NONE,,,,"### What happened?

When selecting variables from a Dataset using a view on dict keys, the type returned is a DataArray, whereas the same using a list is a Dataset.

### What did you expect to happen?

The type returned should be a Dataset.

### Minimal Complete Verifiable Example

```Python
import xarray as xr

d = {""a"": (""dim"", range(1, 4)), ""b"": (""dim"", range(2, 5))}

data = xr.Dataset(d)
select_dict = data[d.keys()]
select_list = data[list(d)]

reveal_type(select_dict)
reveal_type(select_list)
```


### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [X] Complete example — the example is self-contained, including all data and the text of any traceback.
- [x] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

```Python
$ mypy test.py
test.py:9: note: Revealed type is ""xarray.core.dataarray.DataArray""
test.py:10: note: Revealed type is ""xarray.core.dataset.Dataset""
Success: no issues found in 1 source file
```


### Anything else we need to know?

_No response_

### Environment

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.10 (main, Mar 15 2022, 15:56:56) 
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.49.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.9.0

xarray: 2022.12.0
pandas: 1.5.2
numpy: 1.23.5
scipy: 1.10.0
netCDF4: 1.6.2
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.6.3
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 58.1.0
pip: 23.0
conda: None
pytest: 7.2.1
mypy: 0.991
IPython: 8.8.0
sphinx: None


</details>
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1461346911,I_kwDOAMm_X85XGmJf,7313,Using scatter with unfilled marker raises matplotlib UserWarning,25172489,closed,0,,,1,2022-11-23T09:17:17Z,2023-02-09T12:56:05Z,2023-02-09T12:56:05Z,NONE,,,,"### What is your issue?

If plotting a scatter plot with an unfilled marker, matplotlib raises a UserWarning. Consider this MWE:

```python
import warnings

import numpy as np
import xarray as xr

warnings.filterwarnings(""error"")

ds = xr.Dataset({""a"": (""dim"", np.arange(3, 10))}, {""dim"": np.arange(7)})
ds.plot.scatter(x=""dim"", y=""a"", marker=""x"")
```

Running this with matplotlib 3.6.2 yields:

```
Traceback (most recent call last):
  File ""/my/path/test.py"", line 9, in <module>
    ds.plot.scatter(x=""dim"", y=""a"", marker=""x"")
  File ""/my/path/.venv/lib/python3.9/site-packages/xarray/plot/accessor.py"", line 1071, in scatter
    return dataset_plot.scatter(self._ds, *args, **kwargs)
  File ""/my/path/.venv/lib/python3.9/site-packages/xarray/plot/dataset_plot.py"", line 916, in scatter
    return da.plot.scatter(*locals_.pop(""args"", ()), **locals_)
  File ""/my/path/.venv/lib/python3.9/site-packages/xarray/plot/accessor.py"", line 305, in scatter
    return dataarray_plot.scatter(self._da, *args, **kwargs)
  File ""/my/path/.venv/lib/python3.9/site-packages/xarray/plot/dataarray_plot.py"", line 1002, in newplotfunc
    primitive = plotfunc(
  File ""/my/path/.venv/lib/python3.9/site-packages/xarray/plot/dataarray_plot.py"", line 1277, in scatter
    primitive = ax.scatter(*[p.to_numpy().ravel() for p in plts], **kwargs)
  File ""/my/path/.venv/lib/python3.9/site-packages/matplotlib/__init__.py"", line 1423, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
  File ""/my/path/.venv/lib/python3.9/site-packages/matplotlib/axes/_axes.py"", line 4571, in scatter
    _api.warn_external(
  File ""/my/path/.venv/lib/python3.9/site-packages/matplotlib/_api/__init__.py"", line 363, in warn_external
    warnings.warn(message, category, stacklevel)
UserWarning: You passed a edgecolor/edgecolors ('w') for an unfilled marker ('x').  Matplotlib is ignoring the edgecolor in favor of the facecolor.  This behavior may change in the future.
```

Environment:
```
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.10 (main, Mar 15 2022, 15:56:56) 
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.49.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.9.0

xarray: 2022.11.0
pandas: 1.5.1
numpy: 1.23.5
scipy: 1.9.3
netCDF4: 1.6.2
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.6.2
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 65.6.0
pip: 22.3.1
conda: None
pytest: 7.2.0
IPython: 8.6.0
sphinx: None

```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7313/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1461231016,I_kwDOAMm_X85XGJ2o,7312,polyval doesn't bind the output type,25172489,closed,0,,,3,2022-11-23T07:55:45Z,2022-11-26T15:42:52Z,2022-11-26T15:42:52Z,NONE,,,,"### What happened?

We recently updated our package requirements to current xarray, and while some typing things got better for us, `xarray.polyval` seems to not allow mypy to correctly infer its output type.

### What did you expect to happen?

Output type should depend on the input types.

### Minimal Complete Verifiable Example

```Python
from __future__ import annotations


import numpy as np
import xarray as xr

coeffs = xr.DataArray([1, 1])
xvals = xr.DataArray(np.arange(10))

result = xr.polyval(xvals, coeffs=coeffs)
reveal_type(result)
```


### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [X] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

```Python
test.py:11: note: Revealed type is ""Union[xarray.core.dataset.Dataset, xarray.core.dataarray.DataArray]""
```


### Anything else we need to know?

_No response_

### Environment

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.10 (main, Mar 15 2022, 15:56:56) 
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.49.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.9.0

xarray: 2022.11.0
pandas: 1.5.1
numpy: 1.23.5
scipy: 1.9.3
netCDF4: 1.6.2
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.6.2
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 65.6.0
pip: 22.3.1
conda: None
pytest: 7.2.0
IPython: 8.6.0
sphinx: None

</details>
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7312/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1405752975,I_kwDOAMm_X85TyhaP,7156,Plotting empty DataArray oddly raises ImportError,25172489,closed,0,43316012,,7,2022-10-12T08:00:13Z,2022-10-28T16:44:32Z,2022-10-28T16:44:32Z,NONE,,,,"### What happened?

When calling the `xarray.DataArray.plot()` method on empty DataArrays raises an `ImportError` about a required, but missing, `nc-time-axis` package. This is at least confusing.

### What did you expect to happen?

Either a more appropriate exception (to the effect of ""don't try to plot nothing plz""). Or just get an empty plot returned.

### Minimal Complete Verifiable Example

```Python
>>> import xarray as xr
>>> xr.DataArray([])
<xarray.DataArray (dim_0: 0)>
array([], dtype=float64)
Dimensions without coordinates: dim_0
>>> xr.DataArray([]).plot()
Traceback (most recent call last):
  File ""<stdin>"", line 1, in <module>
  File ""foo/env/lib/python3.9/site-packages/xarray/plot/plot.py"", line 866, in __call__
    return plot(self._da, **kwargs)
  File ""foo/env/lib/python3.9/site-packages/xarray/plot/plot.py"", line 332, in plot
    return plotfunc(darray, **kwargs)
  File ""foo/env/lib/python3.9/site-packages/xarray/plot/plot.py"", line 438, in line
    _ensure_plottable(xplt_val, yplt_val)
  File ""foo/env/lib/python3.9/site-packages/xarray/plot/utils.py"", line 648, in _ensure_plottable
    raise ImportError(
ImportError: Plotting of arrays of cftime.datetime objects or arrays indexed by cftime.datetime objects requires the optional `nc-time-axis` (v1.2.0 or later) package.
```


### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [X] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

_No response_

### Anything else we need to know?

_No response_

### Environment

<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.10 (main, Mar 15 2022, 15:56:56) 
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.49.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.0
libnetcdf: 4.7.4

xarray: 0.21.1
pandas: 1.4.0
numpy: 1.21.5
scipy: 1.8.1
netCDF4: 1.5.8
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.5.1
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
setuptools: 49.2.1
pip: 22.2.2
conda: None
pytest: 7.1.2
IPython: 8.0.1
sphinx: None
</details>","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7156/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
991144834,MDU6SXNzdWU5OTExNDQ4MzQ=,5779,Coordinates have wrong number of elements after a Dataset/DataArray is split by np.split(),25172489,open,0,,,4,2021-09-08T13:32:49Z,2021-09-13T04:34:02Z,,NONE,,,,"<!-- Please include a self-contained copy-pastable example that generates the issue if possible.

Please be concise with code posted. See guidelines below on how to provide a good bug report:

- Craft Minimal Bug Reports: http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports
- Minimal Complete Verifiable Examples: https://stackoverflow.com/help/mcve

Bug reports that follow these guidelines are easier to diagnose, and so are often handled much more quickly.
-->

**What happened**:

Tried to split a DataArray containing coordinates using numpy. Surprisingly, coordinates along another dimension than the axis specified to numpy are split. The resulting DataArray is broken since now the number of elements in all coordinates are different from the corresponding dimensions.

**What you expected to happen**:

Coordinates along the correct dimension should be split.

**Minimal Complete Verifiable Example**:

```python
>>> import xarray as xr
>>> import numpy as np
>>> testarr = xr.DataArray(np.zeros((4, 6)), coords={""dim_0"": np.arange(4), ""aux_0"": (""dim_0"", [""a"", ""b"", ""c"", ""d""]), ""aux_1"": (""dim_1"", np.arange(6))})
>>> np.split(testarr, 3, axis=1)
[<xarray.DataArray (dim_0: 4, dim_1: 2)>
/-- array of shape (4, 2), all zero --/
Coordinates:
  * dim_0    (dim_0) int64 0 1
    aux_0    (dim_0) <U1 'a' 'b'
    aux_1    (dim_1) int64 0 1 2 3 4 5
Dimensions without coordinates: dim_1, <xarray.DataArray (dim_0: 4, dim_1: 2)>
/-- array of shape (4, 2), all zero --/
Coordinates:
  * dim_0    (dim_0) int64 2 3
    aux_0    (dim_0) <U1 'c' 'd'
    aux_1    (dim_1) int64 0 1 2 3 4 5
Dimensions without coordinates: dim_1, <xarray.DataArray (dim_0: 4, dim_1: 2)>
/-- array of shape (4, 2), all zero --/
Coordinates:
  * dim_0    (dim_0) int64 
    aux_0    (dim_0) <U1 
    aux_1    (dim_1) int64 0 1 2 3 4 5
Dimensions without coordinates: dim_1]
```

**Anything else we need to know?**:

Yes I know there's probably a better way to achieve what I need using xarray, probably `xarray.apply_ufunc()` or sth. Still, the observed behavior is unexpected.

**Environment**:

<details><summary>Output of <tt>xr.show_versions()</tt></summary>

```python
>>> xr.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.1 (default, Jan 13 2021, 15:21:08) 
[GCC 4.8.5 20150623 (Red Hat 4.8.5-44)]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.6.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.0
libnetcdf: 4.7.4

xarray: 0.18.2
pandas: 1.2.5
numpy: 1.20.3
scipy: 1.6.3
netCDF4: 1.5.6
pydap: None
h5netcdf: None
h5py: 3.2.1
Nio: None
zarr: None
cftime: 1.5.0
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: 2021.06.0
distributed: None
matplotlib: 3.4.2
cartopy: None
seaborn: None
numbagg: None
pint: None
setuptools: 49.2.1
pip: 21.2.4
conda: None
pytest: 6.2.4
IPython: 7.24.1
sphinx: None
```


</details>
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