Showing a matplotlib plot while an existing PyFluent PyVista plot is already displayed causes Python to hang

[ansjsia]

🔍 Before submitting the issue

• I have searched among the existing issues
• I am using a Python virtual environment

🐞 Description of the bug

Calling display() on a PyFluent PyVista graphics object then calling show() on a matplotlib plot causes Python to hang.

📝 Steps to reproduce

1. Create a graphics object using PyVista and display it:

graphics = Graphics(session=solver)
mesh1 = graphics.Meshes["mesh-1"]
mesh1.show_edges = True
mesh1.surfaces_list = [
    "in1",
    "in2",
    "in3",
    "out1",
    "solid_up:1",
    "solid_up:1:830",
    "solid_up:1:830-shadow",
]
mesh1.display("window-1")

2. Create a matplotlib plot and display it:

x = np.array([0, 1, 2, 3, 4])
y = np.array([1, 2, 4, 8, 16])
plt.plot(x, y)
plt.show()

3. Python hangs.

See this script attached to reproduce: pyvista_matplotlib_test.zip

💻 Which operating system are you using?

Windows

📀 Which ANSYS version are you using?

Fluent 24R1

🐍 Which Python version are you using?

3.11

📦 Installed packages

aiohttp==3.8.6
aiosignal==1.3.1
ansys-api-fluent==0.3.18
ansys-api-platform-instancemanagement==1.0.0
ansys-api-systemcoupling==0.1.0
-e git+https://github.com/ansys/pyfluent.git@c812ed4ce4fd03c4c02af9d88a2d47912c2c38a5#egg=ansys_fluent_core
ansys-fluent-visualization==0.7.1
ansys-platform-instancemanagement==1.1.2
-e git+https://github.com/ansys/pysystem-coupling.git@a445b8a153839b0abbe518be9b87099dde9470e2#egg=ansys_systemcoupling_core
anyio==4.0.0
appdirs==1.4.4
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
async-lru==2.0.4
async-timeout==4.0.3
attrs==23.1.0
Babel==2.13.1
beautifulsoup4==4.12.2
bleach==6.1.0
certifi==2023.7.22
cffi==1.16.0
charset-normalizer==3.3.2
colorama==0.4.6
comm==0.1.4
contourpy==1.2.0
cycler==0.12.1
debugpy==1.8.0
decorator==5.1.1
defusedxml==0.7.1
docker==6.1.3
executing==2.0.1
fastjsonschema==2.18.1
fonttools==4.44.0
fqdn==1.5.1
frozenlist==1.4.0
googleapis-common-protos==1.61.0
grpcio==1.59.2
grpcio-health-checking==1.48.2
grpcio-status==1.48.2
idna==3.4
importlib-metadata==6.8.0
ipycanvas==0.13.1
ipyevents==2.0.2
ipykernel==6.26.0
ipympl==0.9.3
ipython==8.17.2
ipython-genutils==0.2.0
ipyvtklink==0.2.3
ipywidgets==7.8.1
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.2
json5==0.9.14
jsonpointer==2.4
jsonschema==4.19.2
jsonschema-specifications==2023.7.1
jupyter-events==0.9.0
jupyter-lsp==2.2.0
jupyter_client==8.5.0
jupyter_core==5.5.0
jupyter_server==2.10.0
jupyter_server_terminals==0.4.4
jupyterlab==4.0.8
jupyterlab-pygments==0.2.2
jupyterlab-widgets==1.1.7
jupyterlab_server==2.25.1
kiwisolver==1.4.5
lxml==4.9.3
MarkupSafe==2.1.3
matplotlib==3.8.1
matplotlib-inline==0.1.6
mistune==3.0.2
multidict==6.0.4
nbclient==0.9.0
nbconvert==7.11.0
nbformat==5.9.2
nest-asyncio==1.5.8
notebook==7.0.6
notebook_shim==0.2.3
numpy==1.26.1
overrides==7.4.0
packaging==23.2
pandas==2.1.2
pandocfilters==1.5.0
parso==0.8.3
Pillow==10.1.0
platformdirs==3.11.0
pooch==1.8.0
prometheus-client==0.18.0
prompt-toolkit==3.0.39
protobuf==3.20.3
psutil==5.9.6
pure-eval==0.2.2
pycparser==2.21
Pygments==2.16.1
pyparsing==3.1.1
PySide6==6.6.0
PySide6-Addons==6.6.0
PySide6-Essentials==6.6.0
python-dateutil==2.8.2
python-json-logger==2.0.7
pytz==2023.3.post1
pyvista==0.42.3
pyvistaqt==0.11.0
pywin32==306
pywinpty==2.0.12
PyYAML==6.0.1
pyzmq==25.1.1
QtPy==2.4.1
referencing==0.30.2
requests==2.31.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.12.0
scooby==0.9.2
Send2Trash==1.8.2
shiboken6==6.6.0
six==1.16.0
sniffio==1.3.0
soupsieve==2.5
stack-data==0.6.3
terminado==0.18.0
tinycss2==1.2.1
tornado==6.3.3
traitlets==5.13.0
trame==3.3.0
trame-client==2.12.6
trame-server==2.12.1
types-python-dateutil==2.8.19.14
tzdata==2023.3
uri-template==1.3.0
urllib3==2.0.7
vtk==9.2.6
wcwidth==0.2.9
webcolors==1.13
webencodings==0.5.1
websocket-client==1.6.4
widgetsnbextension==3.6.6
wslink==1.12.4
yarl==1.9.2
zipp==3.17.0