Closed Figure's state is silently changed in HTML export when plotting asynchronously

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## Describe the issue
I know, this is a seemingly contrived example, but it's a real-world problem for me.

See attached Notebook and according HTML export
[issue.zip](https://github.com/user-attachments/files/18343071/issue.zip)

I'm running the notebook cell by cell, where I only start the next cell when the previous animation has been finished. The animation stops automatically. The code for animation is:

```python
def runPlot(duration):
plt.close('all')
fig = plt.figure(1)
t = np.linspace(0, 1, 100)
data_line = plt.plot(t, np.sin(6.28*2*t))[0]

def _impl():
start = time.time()
it = 0
while time.time() - start < duration:
freq = time.time() - start
if it == 0:
data_line.set_ydata(t)
else:
data_line.set_ydata(np.sin(6.28*t*freq))
it = it + 1

fig.canvas.draw()
time.sleep(0.03)


T = threading.Thread(target=_impl)
T.start()
```

Within this code, a thread is started which shows a figure and continuously updates the ydata of the plotted line. The cell immediately returns, but the thread runs for the given amount of seconds. This leads to an animation in the notebook. Note that in the first iteration, a linear line is plotted instead of the sine wave. After running all cells, the notebook looks like this:

Upon pressing save and exporting to HTML, the exported HTML looks like this:

Apparently, for the HTML export, the state of the first plot widget has been replaced by the data that was first set by `set_ydata`. Adding more calls to `runPlot` only keeps the last figure in the correct shape for export, whereas the other figures contain the data initially set by `set_ydata`.

The problem does not happen when I create a new figure without a number all the time, i.e. replace this

```
plt.close('all')
fig = plt.figure(1)
```

with

```
fig = plt.figure()
```

However, as all figures are closed by `close('all')`, no data should be changed in previously open figures anymore.

## Versions

```
$ python -c "import sys; print('\n',sys.version); import ipympl; print('ipympl version:', ipympl.__version__)" && jupyter --version && jupyter nbextension list && jupyter labextension list

3.13.1 (main, Dec 19 2024, 10:35:14) [GCC 11.1.0]
ipympl version: 0.9.5
Selected Jupyter core packages...
IPython : 8.30.0
ipykernel : 6.29.5
ipywidgets : 8.1.5
jupyter_client : 8.6.3
jupyter_core : 5.7.2
jupyter_server : 2.14.2
jupyterlab : 4.3.4
nbclient : 0.10.2
nbconvert : 7.16.4
nbformat : 5.10.4
notebook : 7.3.1
qtconsole : not installed
traitlets : 5.14.3
```

Start with the attached notebook and HTML export, using the reported Python, ipympl, Jupyter, and ipywidgets versions. Reproduce the asynchronous animation with numbered figures and compare it with creating a new figure each time. Done means exported HTML preserves each previously closed figure's final state instead of showing the first set_ydata value.

Written by the indexing model from the issue text.