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
1828847255,PR_kwDOAMm_X85Wx-7X,8031,change cumproduct to cumprod,25102059,closed,0,,,3,2023-07-31T10:05:19Z,2023-07-31T16:46:02Z,2023-07-31T16:45:59Z,CONTRIBUTOR,,0,pydata/xarray/pulls/8031,"<!-- Feel free to remove check-list items aren't relevant to your change -->

- [x] Closes #8013 

`np.cumproduct ` was just called internally, so no change on documentation or deprecation process necessary.
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8031/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1817880272,I_kwDOAMm_X85sWqbQ,8013,np.cumproduct deprecated,25102059,closed,0,,,4,2023-07-24T08:11:01Z,2023-07-31T16:46:00Z,2023-07-31T16:46:00Z,CONTRIBUTOR,,,,"### What is your issue?

Since numpy version 1.25.0 `np.cumproduct` is deprecated in favor of `np.cumprod`.

The coordinates to_index() method still uses it 
https://github.com/pydata/xarray/blob/971be103d6376d6572d1f12d32526f12f07ae2c7/xarray/core/coordinates.py#L144
which results in an unecessary DeprecationWarning.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/8013/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1613054013,I_kwDOAMm_X85gJUA9,7593,Plotting with time-zone-aware pd.Timestamp axis not possible,25102059,open,0,,,6,2023-03-07T09:32:49Z,2023-05-06T03:24:46Z,,CONTRIBUTOR,,,,"### What is your issue?

When trying to use the plot-method on a DataArray that contains a time axis with time zone aware pandas Timestamps a TypeError is raised.

As a minimal example:
```python
import pandas as pd
import numpy as np
import xarray as xr
time = pd.date_range(""2000-02-02 08:00+01:00"",""2000-02-02 09:00+01:00"", 121)
val = np.arange(121)**2
xar = xr.DataArray(val, coords=dict(time=time))
xar.plot()
```
Results in:

`TypeError: Plotting requires coordinates to be numeric, boolean, or dates of type numpy.datetime64, datetime.datetime, cftime.datetime or pandas.Interval. Received data of type object instead.`

While matplotlib is capable of handling it. Not in a nice way, but at least without crashing:
```python
import matplotlib.pyplot as plt
plt.figure()
plt.plot(xar.time, xar.values)
```
![grafik](https://user-images.githubusercontent.com/25102059/223375381-21182680-5ae0-4527-900c-35c609b87aa3.png)

I tried that the same result can be achieved, if in the method issuing the `TypeError` 
https://github.com/pydata/xarray/blob/830ee6de0d545c997df84fe69b0ac2334bde1d1b/xarray/plot/utils.py#L669-L681
also accepts the pandas [`DatetimeTZDtype`](https://pandas.pydata.org/docs/reference/api/pandas.DatetimeTZDtype.html) as a dtype, i.e. it is added to the tuple `numpy_types`. 

If there are no objections I would issue a PR extending the tuple.

# Related observations
## _ensure_plottable removal
I found discussions on removing the `_ensure_plottable` method entirely (#5762, #5763), which was not followed through but would likely also solve this issue.

## Pandas
Pandas itself is able to even plot the time stamps in a nice way. So, maybe in the long-term it might make sense to use these capabilities.
```python
xar.to_series().plot()
```
![grafik](https://user-images.githubusercontent.com/25102059/223379513-90372884-f509-488c-a548-0c07169096e7.png)
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7593/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue