Interactive plot cannot be shown in Jupyter about pyvista

[jourdain]

probably you did not installed pyvista with the jupyter option (pip install "pyvista[jupyter]")

[lstngr]

Had the same issue with a conda install. Installing pyvista with conda install -c conda-forge pyvista jupyterlab ipywidgets trame did not automatically add trame-vtk as a dependency, and I was getting the same error as @YongcaiHuang.
After installing trame-vtk and trame-vuetify as suggested by @savindi-wijenayaka, I'm able to load the widgets in Jupyterlab.

[savindi-wijenayaka]

@jxfruit For me keeping the normal pyvista installation with additional packages trame-vtk , trame-vuetify and ipywidgets fixed the issue. Had to restart the kernal though. However, I am using the VSCode to run the notebook.

[jxfruit]

Finally, after use jupyter-server-proxy and set export PYVISTA_TRAME_SERVER_PROXY_PREFIX='/proxy/', and make sure the jupyter-server-proxy extension plugin is enabled, we can see it by jupyter UI:nbextensions module, which made my codes work.
Before this setting, it cannot work for the sake of my 2 different environments, which cannot be installed jupyter-server-proxy.

thanks again @jourdain @savindi-wijenayaka

[jxfruit]

I got the similar problem, which shown in the following picture.

If I install trame-vtk and trame-vuetify, a new problem will be here:

my environment running with jupyter-notebook in docker container:
pip list| grep jupyter imjoy-jupyter-extension 0.3.0 jupyter-client 8.6.1 jupyter-core 5.7.2 jupyter-events 0.10.0 jupyter-server 2.13.0 jupyter-server-proxy 4.1.2 jupyter-server-terminals 0.5.3 jupyterlab-pygments 0.1.2 jupyterlab-widgets 3.0.10
pip list| grep trame trame 3.5.4 trame-client 2.16.5 trame-server 2.17.2 trame-vtk 2.8.5 trame-vuetify 2.4.3

pyvista 0.43.4
python:3.8.5 ubuntu18.04

[jxfruit]

probably you did not installed pyvista with the jupyter option (pip install "pyvista[jupyter]")

@jourdain
thanks for yoour reply. After installing with the jupyter option (pip install "pyvista[jupyter]"), I found the trame-vtk and trame-vuetify will be installed too. I would get the error

And I found some requests in F12 like "http://localhost:41349/index.html?ui=P_0x7f245835a970_0&reconnect=auto", a new port will be generated dynamically ? In container, the dynamic port cannot be forwarded to outside. Is there a solution? thks again

[jourdain]

You can install trame-jupyter-extension or leverage the jupyter proxy server.

[YongcaiHuang]

probably you did not installed pyvista with the jupyter option (pip install "pyvista[jupyter]")

thanks for your comments! it works in JupyterLab browser. However, I found it cannot be shown on JupyterLab desktop. I am not sure if the problem is with the JupyterLab desktop.

Error handling request
Traceback (most recent call last):
  File "[/opt/homebrew/anaconda3/envs/pip/lib/python3.10/site-packages/aiohttp/web_protocol.py", line 350](http://localhost:56562/opt/homebrew/anaconda3/envs/pip/lib/python3.10/site-packages/aiohttp/web_protocol.py#line=349), in data_received
    messages, upgraded, tail = self._request_parser.feed_data(data)
  File "aiohttp[/_http_parser.pyx", line 557](http://localhost:56562/_http_parser.pyx#line=556), in aiohttp._http_parser.HttpParser.feed_data
  File "aiohttp[/_http_parser.pyx", line 732](http://localhost:56562/_http_parser.pyx#line=731), in aiohttp._http_parser.cb_on_header_value
aiohttp.http_exceptions.LineTooLong: 400, message:
  Got more than 8190 bytes (55572) when reading Header value is too long.

[jourdain]

Might be an issue with message size on the websocket. You can try to bump trame>=3.6 which should fix message size.

[YongcaiHuang]

Might be an issue with message size on the websocket. You can try to bump trame>=3.6 which should fix message size.

Hi, I tried to upgrade the trame, but it still cannot be rendered.

env list

abirami-hide-code 4.0.5
aiohttp 3.9.5
aiosignal 1.3.1
anyio 4.3.0
appnope 0.1.4
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 23.2.0
Babel 2.14.0
beautifulsoup4 4.12.3
bleach 6.1.0
bqplot 0.12.43
certifi 2024.2.2
cffi 1.16.0
charset-normalizer 3.3.2
comm 0.2.2
contourpy 1.2.1
cycler 0.12.1
debugpy 1.8.1
decorator 5.1.1
defusedxml 0.7.1
exceptiongroup 1.2.1
executing 2.0.1
fastjsonschema 2.19.1
fonttools 4.51.0
fqdn 1.5.1
frozenlist 1.4.1
h11 0.14.0
httpcore 1.0.5
httpx 0.27.0
idna 3.7
imageio 2.34.1
ipydatawidgets 4.3.5
ipykernel 6.29.4
ipympl 0.9.4
ipython 8.24.0
ipython-genutils 0.2.0
ipyvolume 0.6.1
ipyvue 1.11.1
ipyvuetify 1.9.4
ipywebrtc 0.6.0
ipywidgets 8.1.2
isoduration 20.11.0
itables 2.0.1
jedi 0.19.1
Jinja2 3.1.3
joblib 1.4.2
json5 0.9.25
jsonpointer 2.4
jsonschema 4.22.0
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.1
jupyter-console 6.6.3
jupyter_core 5.7.2
jupyter-events 0.10.0
jupyter-lsp 2.2.5
jupyter_server 2.14.0
jupyter_server_proxy 4.1.2
jupyter_server_terminals 0.5.3
jupyterlab 4.1.8
jupyterlab-execute-time 3.1.2
jupyterlab-lsp 5.1.0
jupyterlab_pygments 0.3.0
jupyterlab_server 2.27.1
jupyterlab_widgets 3.0.10
jupytext 1.16.1
kiwisolver 1.4.5
lazy_loader 0.4
lckr_jupyterlab_variableinspector 3.2.1
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.8.4
matplotlib-inline 0.1.7
mdit-py-plugins 0.4.0
mdurl 0.1.2
mistune 3.0.2
more-itertools 10.2.0
msgpack 1.0.8
multidict 6.0.5
nbclient 0.10.0
nbconvert 7.16.4
nbformat 5.10.4
nest-asyncio 1.6.0
networkx 3.3
notebook 7.1.3
notebook_shim 0.2.4
numpy 1.26.4
overrides 7.7.0
packaging 24.0
pandas 2.2.2
pandas-flavor 0.6.0
pandocfilters 1.5.1
parso 0.8.4
patsy 0.5.6
pexpect 4.9.0
pillow 10.3.0
pingouin 0.5.4
pip 24.0
platformdirs 4.2.1
plotly 5.22.0
pooch 1.8.1
prometheus_client 0.20.0
prompt-toolkit 3.0.43
psutil 5.9.8
ptyprocess 0.7.0
pure-eval 0.2.2
pycparser 2.22
Pygments 2.17.2
pyparsing 3.1.2
PySide6 6.7.0
PySide6_Addons 6.7.0
PySide6_Essentials 6.7.0
python-dateutil 2.9.0.post0
python-json-logger 2.0.7
pythreejs 2.4.2
pytz 2024.1
pyvista 0.43.6
PyYAML 6.0.1
pyzmq 26.0.3
qtconsole 5.5.1
QtPy 2.4.1
referencing 0.35.1
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.18.0
scikit-image 0.23.2
scikit-learn 1.4.2
scipy 1.13.0
scooby 0.9.2
seaborn 0.13.2
Send2Trash 1.8.3
setuptools 69.5.1
shiboken6 6.7.0
simpervisor 1.0.0
SimpleITK 2.3.1
six 1.16.0
sniffio 1.3.1
soupsieve 2.5
stack-data 0.6.3
statsmodels 0.14.2
tabulate 0.9.0
tenacity 8.2.3
terminado 0.18.1
threadpoolctl 3.5.0
tifffile 2024.4.24
tinycss2 1.3.0
toml 0.10.2
tomli 2.0.1
tornado 6.4
traitlets 5.14.3
traittypes 0.2.1
trame 3.6.0
trame-client 3.0.2
trame-server 3.0.0
trame-vtk 2.8.7
trame-vuetify 2.4.3
types-python-dateutil 2.9.0.20240316
typing_extensions 4.11.0
tzdata 2024.1
uri-template 1.3.0
urllib3 2.2.1
vtk 9.3.0
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.8.0
wheel 0.43.0
widgetsnbextension 4.0.10
wslink 2.0.2
xarray 2024.3.0
yarl 1.9.4

[jourdain]

Thanks for trying, I guess I'm not sure where that issue with JupyterLab desktop is coming from.

[jxfruit]

@jxfruit For me keeping the normal pyvista installation with additional packages trame-vtk , trame-vuetify and ipywidgets fixed the issue. Had to restart the kernal though. However, I am using the VSCode to run the notebook.

It works in local environment. However, I use it in k8s container, a specific port is necessary.

[jxfruit]

You can install trame-jupyter-extension or leverage the jupyter proxy server.

it looks like that does not work in Jupyter notebook. It get the same error

[jourdain]

When you are dealing with remote services, the default setting is not enough. Either you need to use jupyter-server-proxy or trame-jupyter-extension. With jupyter-server-proxy when not used within JupyterHub (which setup some ENV variable) you will need to set os.environ["TRAME_IFRAME_BUILDER"] = "serverproxy".