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
818944970,MDU6SXNzdWU4MTg5NDQ5NzA=,4975,scatter plot with row or col gets hue wrong,5637662,closed,0,,,3,2021-03-01T14:54:57Z,2023-03-13T19:47:51Z,2023-03-13T19:47:51Z,CONTRIBUTOR,,,,"**What happened**:
The colorbar/hue is only for the last subplot, the colorbar for the other figures is ignored.

**What you expected to happen**:
hue/colorbar is correct - the total min/max values are calculated and used instead.

**Minimal Complete Verifiable Example**:

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

ds=xr.Dataset()
ds[""a""]=(""x"",""y""), np.arange(4).reshape(2,2)

ds.plot.scatter(""a"",""a"",row=""x"", hue=""a"")
import matplotlib.pyplot as plt
plt.show()
```

**Anything else we need to know?**:
replacing col for row yields same wrong result

I verified this is in master (5735e163bea43ec9bc3c2e640fbf25a1d4a9d0c0) and 0.16.2

**Environment**:

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

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.1 (default, Jan 20 2021, 00:00:00) 
[GCC 10.2.1 20201125 (Red Hat 10.2.1-9)]
python-bits: 64
OS: Linux
OS-release: 4.12.14-122.57-default
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.6
libnetcdf: 4.7.3

xarray: 0.16.2
pandas: 1.0.5
numpy: 1.19.4
scipy: 1.5.2
netCDF4: 1.5.3
pydap: None
h5netcdf: None
h5py: 3.1.0
Nio: None
zarr: None
cftime: 1.1.3
nc_time_axis: 1.2.0
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: 2021.01.1
distributed: None
matplotlib: 3.3.4
cartopy: None
seaborn: None
numbagg: None
pint: None
setuptools: 49.1.3
pip: 20.2.2
conda: None
pytest: None
IPython: 7.18.1
sphinx: 3.2.1


</details>
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4975/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
987551524,MDU6SXNzdWU5ODc1NTE1MjQ=,5762,Plotting of labelled data fails,5637662,closed,0,,,3,2021-09-03T08:45:34Z,2023-03-10T20:01:19Z,2023-03-10T20:01:18Z,CONTRIBUTOR,,,,"**What happened**:
Xarray has some assumption what is or is not plottable. Xarray should not do that, and just ask the plotting library, if it actually can.

**What you expected to happen**:
No additional checking, just plot it.

If something cannot be plotted, matplotlib (or whatever backend is used) will anyway check, and know better.

**Minimal Complete Verifiable Example**:

```python
import xarray as xr
import matplotlib.pyplot as plt

da = xr.DataArray(data=[1, 2], coords={""x"": [""abc"", ""cde""]}, dims=""x"")
print(da)
try:
    da.plot()
except TypeError:
    plt.plot(da.x, da)
    print(""But it is possible"")
plt.show()
```

**Anything else we need to know?**:
I can submit a PR to remove `_ensure_plottable`

**Environment**:

<details><summary>Output of <tt>xr.show_versions()</tt></summary>
INSTALLED VERSIONS
------------------
commit: fcebe5e5f3bcd2d93df614966431c845384a3b2f
python: 3.9.7 (default, Aug 30 2021, 00:00:00) 
[GCC 11.2.1 20210728 (Red Hat 11.2.1-1)]
python-bits: 64
OS: Linux
OS-release: 5.13.12-200.fc34.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.6
libnetcdf: 4.7.3

xarray: 0.18.2
pandas: 1.2.5
numpy: 1.20.1
scipy: 1.6.2
netCDF4: 1.5.5.1
pydap: None
h5netcdf: None
h5py: 3.1.0
Nio: None
zarr: None
cftime: 1.4.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: 2021.08.1
distributed: None
matplotlib: 3.4.3
cartopy: None
seaborn: None
numbagg: None
pint: 0.16.1
setuptools: 54.2.0
pip: 21.0.1
conda: None
pytest: 6.2.2
IPython: 7.20.0
sphinx: 3.4.3
</details>
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1412895383,I_kwDOAMm_X85UNxKX,7181,xarray 2022.10.0 much slower then 2022.6.0,5637662,closed,0,,,17,2022-10-18T09:38:52Z,2022-11-30T23:36:56Z,2022-11-30T23:36:56Z,CONTRIBUTOR,,,,"### What is your issue?

[xbout](https://github.com/boutproject/xBOUT)'s test suite finishes with 2022.6.0 in less than an our, with 2022.10.0 it gets aborted after 6 hours.

I haven't managed to debug what is the issue.

Git bisect will not work, as 2022.9.0 is broken due to #7111 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7181/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
819030802,MDExOlB1bGxSZXF1ZXN0NTgyMTk4MjUx,4978,ensure all plots share the same hue,5637662,closed,0,,,3,2021-03-01T16:23:45Z,2021-05-14T17:24:18Z,2021-05-14T17:24:18Z,CONTRIBUTOR,,0,pydata/xarray/pulls/4978,"by specifing vmin and vmax, the colorbar is the correct one for all
subplots

<!-- Feel free to remove check-list items aren't relevant to your change -->

- [x] Closes #4975 
- [ ] Tests added
- [ ] Passes `pre-commit run --all-files`
- [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst`
- [ ] New functions/methods are listed in `api.rst`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4978/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
805389572,MDU6SXNzdWU4MDUzODk1NzI=,4885,Dataset.mean changes variables without specified dimension,5637662,closed,0,,,2,2021-02-10T10:37:07Z,2021-04-24T20:00:45Z,2021-04-24T20:00:45Z,CONTRIBUTOR,,,,"<!-- 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**:
If I apply `mean(dim='time')` on a dataset, variables without that dimension are changed.

**What you expected to happen**:
Variables without the dimension are not changed.

**Minimal Complete Verifiable Example**:

```python
import xarray as xr

ds = xr.Dataset()
ds[""pos""] = [1, 2, 3]
ds[""data""] = (""pos"", ""time""), [[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]
ds[""var""] = ""pos"", [2, 3, 4]
print(ds.mean(dim=""time""))
```

**Anything else we need to know?**:
That makes it unnecessarily slow, as variables without that dimensions wouldn't need to be read from disk.
It is easy enough to work around:
```python
ds2 = ds.copy()
for k in ds:
    if ""time"" in ds[k].dims:
        ds2[k] = ds[k].mean(dim=""time"")
```
However I cannot see why dataset should change the variables without the specified dim.

**Environment**:

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

commit: None
python: 3.9.1 (default, Jan 20 2021, 00:00:00) 
[GCC 10.2.1 20201125 (Red Hat 10.2.1-9)]
python-bits: 64
OS: Linux
OS-release: 5.10.13-200.fc33.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.6
libnetcdf: 4.7.3

xarray: 0.16.2
pandas: 1.0.5
numpy: 1.19.4
scipy: 1.5.2
netCDF4: 1.5.3
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.1.3
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: None
distributed: None
matplotlib: 3.3.4
cartopy: None
seaborn: None
numbagg: None
pint: 0.13
setuptools: 49.1.3
pip: 20.2.2
conda: None
pytest: 6.0.2
IPython: 7.18.1
sphinx: 3.2.1

</details>
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865002281,MDExOlB1bGxSZXF1ZXN0NjIxMTM2NzUw,5207,Skip mean over empty axis,5637662,closed,0,,,3,2021-04-22T14:13:33Z,2021-04-24T20:00:45Z,2021-04-24T20:00:45Z,CONTRIBUTOR,,0,pydata/xarray/pulls/5207,"Avoids changing the datatype if the data does not have the requested
axis.

<!-- Feel free to remove check-list items aren't relevant to your change -->

- [x] Closes #4885
- [x] Tests added
- [ ] Passes `pre-commit run --all-files`
- [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst`

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