BUG: Series.plot.hist segfault for timedelta64 
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [ ] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
import pandas as pd

t = pd.to_datetime(["2021-01-01", "2021-01-03", "2021-01-04"])
print(t)

dt = t.to_series().diff()
print(dt)

dt.plot.hist()
```


### Issue Description

I get this crash from the `dt.plot.hist()` call:

```
% python crash.py
DatetimeIndex(['2021-01-01', '2021-01-03', '2021-01-04'], dtype='datetime64[ns]', freq=None)
2021-01-01      NaT
2021-01-03   2 days
2021-01-04   1 days
dtype: timedelta64[ns]
zsh: segmentation fault  python crash.py
```

### Expected Behavior

No segfault. Give a plot or some informative exception.

### Installed Versions

This is with Python 3.9 on MacOS installed via conda-forge.

<details>

% cat environment.yml 
name: cement

channels:
- conda-forge
- nodefaults

dependencies:
- python==3.9
- jupyterlab==3.1
- pandas==1.3
- scikit-learn==1.0
- missingno
- matplotlib
- seaborn==0.11
- dtale==1.56
- pandas-profiling
- sweetviz==2.1
- hcrystalball==0.1.10
- pip
- pip:
    - flaml

</details>

<details>

>>> pd.show_versions()

INSTALLED VERSIONS
------------------
commit           : f00ed8f47020034e752baf0250483053340971b0
python           : 3.9.0.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 20.6.0
Version          : Darwin Kernel Version 20.6.0: Mon Aug 30 06:12:21 PDT 2021; root:xnu-7195.141.6~3/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : None.UTF-8

pandas           : 1.3.0
numpy            : 1.21.2
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.2.4
setuptools       : 58.0.4
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 3.0.1
IPython          : 7.28.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : 3.0.9
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : 0.19.0
xlrd             : 2.0.1
xlwt             : None
numba            : 0.53.1

</details>
