Plot is duplicated with repeated calls to plt.show()

Describe the issue

When I use the "%matplotlib ipympl" backend and display a plot with plt.show(), it works fine, but that plot is displayed again for every future call to plt.show(). The expected behavior is for show() to not repeat the plot output. This occurs with a fresh Anaconda (2024.10-1) installation of Python (3.12.7). This does not happen with default backend.

Versions

 3.12.7 | packaged by Anaconda, Inc. | (main, Oct  4 2024, 08:22:19) [Clang 14.0.6 ]
ipympl version: 0.9.6
Selected Jupyter core packages...
IPython          : 8.30.0
ipykernel        : 6.29.5
ipywidgets       : 8.1.5
jupyter_client   : 8.6.0
jupyter_core     : 5.7.2
jupyter_server   : 2.14.1
jupyterlab       : 4.2.5
nbclient         : 0.8.0
nbconvert        : 7.16.4
nbformat         : 5.10.4
notebook         : 7.2.2
qtconsole        : 5.6.0
traitlets        : 5.14.3
usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]
               [--paths] [--json] [--debug]
               [subcommand]

Jupyter: Interactive Computing

positional arguments:
  subcommand     the subcommand to launch

options:
  -h, --help     show this help message and exit
  --version      show the versions of core jupyter packages and exit
  --config-dir   show Jupyter config dir
  --data-dir     show Jupyter data dir
  --runtime-dir  show Jupyter runtime dir
  --paths        show all Jupyter paths. Add --json for machine-readable
                 format.
  --json         output paths as machine-readable json
  --debug        output debug information about paths

Available subcommands: console dejavu events execute kernel kernelspec lab
labextension labhub migrate nbconvert notebook qtconsole run server
troubleshoot trust

Jupyter command `jupyter-nbextension` not found.

I believe that last error is expected for notebook>7, but I'm not certain.

El issue no menciona archivos fuente ni pruebas. Primero reproduce el comportamiento de llamadas repetidas a plt.show() con el backend %matplotlib ipympl en las versiones de Jupyter y Python indicadas, y después compáralo con el backend predeterminado. La tarea estará terminada cuando las llamadas repetidas a show() ya no dupliquen la salida del gráfico existente.