Bug when static plotting

[chrisg564]

🤓 Before submitting the issue

• I have visited the Troubleshooting section.
• I have searched among the existing issues.
• I am using a Python virtual environment.
• I am using the latest version of PyMAPDL and its dependencies (fully updated virtual environment). You can update them using pip install --upgrade --upgrade-strategy eager ansys-mapdl-core in your activated virtual environment.

🔍 Description of the bug

Static plots render interactively.

🕵️ Steps To Reproduce

# # PyMAPDL Example: Perform thermal analysis of a rectangular plate subjected to constant temperature 100 degree as a boundary condition. Compute nodal temperature as a output.
# ## Create MAPDL Instance
from ansys.mapdl.core import launch_mapdl
import pandas as pd
mapdl = launch_mapdl()
print(mapdl)
# ## Set Up Model
mapdl.prep7()
# ## Define material properties and specify 3D 20 node thermal element (Solid90)
mapdl.mp('kxx', 1, 45)
mapdl.et(1, 90)
# ## Create a rectangular plate and Mesh
mapdl.block(-0.3, 0.3, -0.46, 1.34, -0.2, -0.2 + 0.02)
mapdl.vsweep(1)
p = mapdl.eplot(return_plotter=True)
p.show(jupyter_backend='static')
# ## Set up Constraints
mapdl.asel('S', vmin=3)
mapdl.nsla()
mapdl.d('all', 'temp', 5)
mapdl.asel('S', vmin=4)
mapdl.nsla()
mapdl.d('all', 'temp', 100)
out = mapdl.allsel()
mapdl.vsweep(1)
# ## Finish Pre-processing processor
mapdl.finish()
# ## Run the Solve
mapdl.slashsolu()
output = mapdl.solve()
print(output)
# ## Finish solution processor
mapdl.finish()
# ## Process the Results (Visually)
mapdl.post1()
mapdl.set(1, 1)
p = mapdl.post_processing.plot_nodal_temperature(return_plotter=True)
p.show(jupyter_backend='static')
# ## Process the Results (Programmatically)
result = mapdl.result
nnum, temp = result.nodal_temperature(0)
print(nnum)
# ## Finish post-processing processor
mapdl.finish()
# ## Bring the Nodal Results in to Pandas
d = pd.DataFrame({'Node Number': nnum, 'Temperature': temp}, columns=['Node Number', 'Temperature'])
print(d)
# ## Terminate the MAPDL instance
mapdl.exit()
# ## End of Example

💻 Which Operating System are you using?

Linux

🐍 Which Python version are you using?

3.11

💾 Which MAPDL version are you using?

2025R1

📝 PyMAPDL Report

Show the Report!

# PASTE HERE THE OUTPUT OF `python -c "from ansys.mapdl import core as pymapdl; print(pymapdl.Report())"` here

📝 Installed packages

Show the installed packages!

aiohappyeyeballs==2.4.0
aiohttp==3.10.5
aiosignal==1.3.1
alembic @ file:///home/conda/feedstock_root/build_artifacts/alembic_1694690212886/work
annotated-types==0.7.0
ans.protocol.amk==0.1.0b9
ansys-acp-core==0.1.0
ansys-additive-core==0.19.1
ansys-additive-widgets==0.2.1
ansys-api-acp==0.2.0
ansys-api-additive==2.2.1
ansys-api-dbu==0.3.13
ansys-api-dyna==0.4.2
ansys-api-edb==1.0.10
ansys-api-fluent==0.3.35
ansys-api-geometry==0.4.42
ansys-api-mapdl==0.5.2
ansys-api-mechanical==0.1.2
ansys-api-meshing-prime==0.1.4
ansys-api-modelcenter==0.3.1
ansys-api-platform-instancemanagement==1.1.0
ansys-api-pyensight==0.4.7
ansys-api-sherlock==0.1.35
ansys-api-systemcoupling==0.2.0
ansys-api-tools-filetransfer==0.1.0
ansys-api-workbench==0.2.0
ansys-cloud-core==1.2.0
ansys-conceptev-core==0.8
ansys-dpf-composites==0.6.2
ansys-dpf-core==0.13.4
ansys-dpf-post==0.9.2
ansys-dyna-core==0.7.1
ansys-dynamicreporting-core==0.9.0
ansys-edb-core==0.1.9
ansys-engineeringworkflow-api==0.1.0
ansys-fluent-core==0.29.0
ansys-fluent-visualization==0.18.0
ansys-geometry-core==0.9.1
ansys-grantami-bomanalytics==2.2.0
ansys-grantami-bomanalytics-openapi==3.1.0
ansys-grantami-jobqueue==1.1.0
ansys-grantami-recordlists==1.3.0
ansys-grantami-serverapi-openapi==4.0.0
ansys-hps-client==0.9.1
ansys-lab==0.1.69
ansys-mapdl-core==0.68.6
ansys-mapdl-reader==0.54.2
ansys-materials-manager==0.2.3
ansys-math-core==0.2.2
ansys-mechanical-core==0.11.13
ansys-mechanical-env==0.1.9
ansys-mechanical-stubs==0.1.6
ansys-meshing-prime==0.7.0
ansys-modelcenter-workflow==0.1.1
ansys-motorcad-core==0.7.0
ansys-openapi-common==2.1.1
ansys-optislang-core==0.9.4
ansys-platform-instancemanagement==1.1.2
ansys-pyensight-core==0.9.10
ansys-pythonnet==3.1.0rc6
ansys-rocky-core==0.3.2
ansys-seascape==0.2.0
ansys-sherlock-core==0.8.2
ansys-simai-core==0.2.6
ansys-simbuilder-core==2.80.0
ansys-sound-core==0.1.3
ansys-systemcoupling-core==0.8.0
ansys-tools-filetransfer==0.1.1
ansys-tools-local-product-launcher==0.1.1
ansys-tools-path==0.7.1
ansys-tools-visualization-interface==0.8.3
ansys-turbogrid-api==0.4.3
ansys-turbogrid-core==0.4.1
ansys-units==0.3.5
ansys-workbench-core==0.8.0
ansyscodefest @ file:///home/jovyan/ansyscodefest-0.1.18-py3-none-any.whl#sha256=8b26cc10fe2679c2182e5f1f2c79364ddfcde63d4e4ec403e2921f4763058dd5
ansysedt-adaptors==24.1.418
anyio==3.7.1
appdirs==1.4.4
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1696128962909/work
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asttokens==2.4.1
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backoff==2.2.1
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backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1687772187254/work
backports.tarfile==1.2.0
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boto3==1.35.24
botocore==1.35.24
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build==1.2.2
CacheControl==0.13.1
cached-property @ file:///home/conda/feedstock_root/build_artifacts/cached_property_1615209429212/work
cachetools==5.5.0
Cartopy==0.22.0
certifi==2024.8.30
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cffi==1.17.1
charset-normalizer==3.3.2
cleo==2.1.0
click==8.1.7
clr-loader==0.2.6
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
comm==0.2.2
conda @ file:///home/conda/feedstock_root/build_artifacts/conda_1696225914875/work
conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1691048088238/work
conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/conda-package-streaming_1691009212940/work
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cryptography==43.0.1
cycler==0.12.1
dataclasses-json==0.6.7
debugpy==1.8.5
decorator==5.1.1
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Deprecated==1.2.14
dill==0.3.8
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distro==1.9.0
Django==4.2.18
django-guardian==2.4.0
djangorestframework==3.15.2
docker==7.1.0
dotnetcore2==3.1.23
dulwich==0.21.7
ecdsa==0.19.0
elementpath==4.5.0
entrypoints==0.4
exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1692026125334/work
executing==2.1.0
fabric==3.2.2
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filelock==3.16.1
flatbuffers==24.3.25
flexcache==0.3
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fonttools==4.53.1
fpdf2==2.7.9
fqdn @ file:///home/conda/feedstock_root/build_artifacts/fqdn_1638810296540/work/dist
frozenlist==1.4.1
geomdl==5.3.1
gmsh==4.13.1
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google-api-python-client==2.146.0
google-auth==2.35.0
google-auth-httplib2==0.2.0
googleapis-common-protos==1.65.0
greenlet @ file:///home/conda/feedstock_root/build_artifacts/greenlet_1696597334170/work
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grpcio-health-checking==1.48.2
grpcio-status==1.48.2
h11==0.14.0
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httplib2==0.22.0
httpx==0.26.0
idna==3.10
importlib-resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1695414790617/work
importlib_metadata==8.5.0
installer==0.7.0
invoke==2.2.0
ipycanvas==0.13.3
ipydatawidgets==4.3.5
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ipython==8.27.0
ipython-genutils==0.2.0
ipyvtklink==0.2.3
ipywidgets==7.8.4
isoduration @ file:///home/conda/feedstock_root/build_artifacts/isoduration_1638811571363/work/dist
jaraco.classes==3.4.0
jedi==0.19.1
jeepney==0.8.0
Jinja2==3.1.4
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json5==0.9.25
jsonpatch @ file:///home/conda/feedstock_root/build_artifacts/jsonpatch_1695536281965/work
jsonpointer @ file:///home/conda/feedstock_root/build_artifacts/jsonpointer_1695397236330/work
jsonschema==4.23.0
jsonschema-specifications==2023.12.1
jupyter==1.1.1
jupyter-ansys-commands==0.1.68
jupyter-ansys-docmanager==0.1.2
jupyter-console==6.6.3
jupyter-events @ file:///home/conda/feedstock_root/build_artifacts/jupyter_events_1697461661078/work
jupyter-lsp @ file:///home/conda/feedstock_root/build_artifacts/jupyter-lsp-meta_1685453365113/work/jupyter-lsp
jupyter-server==1.24.0
jupyter-telemetry @ file:///home/conda/feedstock_root/build_artifacts/jupyter_telemetry_1605173804246/work
jupyter_client==8.6.3
jupyter_core==5.7.2
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jupyter_server_terminals @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_terminals_1673491454549/work
jupyterhub @ file:///home/conda/feedstock_root/build_artifacts/jupyterhub-feedstock_1691671359799/work
jupyterlab==3.4.0
jupyterlab-ansys-theme==0.1.5
jupyterlab-topbar==0.6.1
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
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keyring==24.3.1
kiwisolver==1.4.7
libmambapy @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1697482692941/work/libmambapy
linkify-it-py==2.0.3
lxml==5.3.0
Mako @ file:///home/conda/feedstock_root/build_artifacts/mako_1668568582731/work
mamba @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1697482692941/work/mamba
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.5
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marshmallow-oneofschema==3.1.1
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matplotlib-inline==0.1.7
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mdurl==0.1.2
meshio==5.3.5
mistune==0.8.4
more-itertools==10.5.0
msal==1.31.1
msal-extensions==1.2.0
msgpack==1.1.0
multidict==6.1.0
mypy-extensions==1.0.0
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nbclient==0.10.0
nbconvert==6.5.4
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.4.2
nltk==3.9.1
notebook==6.5.4
notebook_shim==0.2.4
numpy==1.26.4
oauthlib @ file:///home/conda/feedstock_root/build_artifacts/oauthlib_1666056362788/work
overrides==7.7.0
packaging==24.1
pamela @ file:///home/conda/feedstock_root/build_artifacts/pamela_1691565434937/work
pandas==2.2.3
pandocfilters==1.5.1
panel==1.4.4
param==2.1.1
paramiko==3.5.0
parso==0.8.4
patsy==1.0.1
pexpect==4.9.0
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
pillow==10.4.0
Pint==0.24.3
pkginfo==1.12.1.2
pkgutil_resolve_name @ file:///home/conda/feedstock_root/build_artifacts/pkgutil-resolve-name_1694617248815/work
platformdirs==4.3.6
plotly==5.24.1
pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1693086607691/work
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poetry==1.7.1
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protobuf==3.20.3
psutil==6.1.1
ptyprocess==0.7.0
pure_eval==0.2.3
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pyansys-tools-versioning==0.6.0
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pyasn1_modules==0.4.1
pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1696355758146/work
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python-json-logger @ file:///home/conda/feedstock_root/build_artifacts/python-json-logger_1677079630776/work
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pyvistaqt==0.11.1
pyviz_comms==3.0.3
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pyzmq==26.2.0
QtPy==2.4.1
RapidFuzz==3.12.2
referencing==0.35.1
regex==2024.9.11
requests==2.32.3
requests-toolbelt==1.0.0
requests_ntlm==1.3.0
rfc3339-validator @ file:///home/conda/feedstock_root/build_artifacts/rfc3339-validator_1638811747357/work
rfc3986-validator @ file:///home/conda/feedstock_root/build_artifacts/rfc3986-validator_1598024191506/work
rich==13.8.1
rpds-py==0.20.0
rpyc==6.0.0
rsa==4.9
Rtree==1.3.0
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ruamel.yaml.clib @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml.clib_1695996834452/work
rustworkx==0.12.0
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Send2Trash==1.8.3
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six==1.16.0
sniffio==1.3.1
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truststore==0.10.1
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uc-micro-py==1.0.3
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vtk==9.3.1
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wcwidth==0.2.13
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XlsxWriter==3.2.2
xmlschema==3.4.3
xyzservices==2024.9.0
yarl==1.11.1
zipp==3.20.2
zstandard==0.21.0

📝 Logger output file

Show the logger output file.

# PASTE HERE THE CONTENT OF THE LOGGER OUTPUT FILE.

[germa89]

Hi @chrisg564

Let's first make sure it is not a pyvista issue.

I believe the following code should plot on static:

import pyvista
mesh = pyvista.read('bunny.stl')
mesh.plot(jupyter_backend='static')

Can you run this code and let me know if it is using static or not?

Ref: https://docs.pyvista.org/api/plotting/_autosummary/pyvista.plotter.show#pyvista-plotter-show

pyvista.Plotter.show — PyVista 0.44.2 documentation

[chrisg564]

@germa89 I can confirm that using pyvista directly I can get a static plot.

I should note that we saw this in the Ansys Notebook environment, specifically when we bumped the pyansys metapackage to 2025R1. This made pymapdl upgrade from 0.68.4 to 0.68.6. Pyvista also jumped from 0.43.4 to 0.44.2 among other packages

[germa89]

Indeed the ansys-tools-visualization-interface is a dependency introduced in #2799 (PyMAPDL release v0.68.5).

Hence definitely this might be related.

Pinging @AlejandroFernandezLuces to see if he has capacity to assume this, or should I.

[AlejandroFernandezLuces]

I'll take care of it 🙂

[germa89]

Thank you @AlejandroFernandezLuces. Ping me if you need anything!

[chrisg564]

@germa89 @AlejandroFernandezLuces thatnks for getting this fixed. When can do you think this will be released, will this be in a patch release for 25R1 or will you wait for 25R2 metapackage (asking to see if we should update Ansys Notebook documentation)?

[germa89]

Hi @chrisg564

Metapackage patch releases are made on demand, so I wouldn't expect any patch release anytime soon. You can always contact metapackage mantainers (pyansys-core team) and request for this patch.

However, if it is only a PyMAPDL update what you are looking for, you can always for pymapdl update using:

pip install -U ansys-mapdl-core

[chrisg564]

@germa89 thanks. I will probably request a patch because we keep all our packages linked to the metapackage and try to stay away from individual versioning.