OS: Ubuntu 18.04.6 LTS
Installation:
After running into this issue trying to use pipenv install jupyterlab, I install everything using pip install from within a fresh pipenv shell using Python 3.8.0.
pipenv shell
pip install --upgrade pip
pip install numpy matplotlib jupyterlab ipympl
You can find the Jupyter Lab install doc here.
Running pip list outputs:
Package Version
-------------------- ---------
anyio 3.5.0
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asttokens 2.0.5
attrs 21.4.0
Babel 2.9.1
backcall 0.2.0
black 21.12b0
bleach 4.1.0
certifi 2021.10.8
cffi 1.15.0
charset-normalizer 2.0.10
click 8.0.3
cycler 0.11.0
debugpy 1.5.1
decorator 5.1.1
defusedxml 0.7.1
entrypoints 0.3
executing 0.8.2
fonttools 4.28.5
idna 3.3
importlib-resources 5.4.0
ipykernel 6.7.0
ipympl 0.8.7
ipython 8.0.1
ipython-genutils 0.2.0
ipywidgets 7.6.5
jedi 0.18.1
Jinja2 3.0.3
json5 0.9.6
jsonschema 4.4.0
jupyter-client 7.1.1
jupyter-core 4.9.1
jupyter-server 1.13.3
jupyterlab 3.2.8
jupyterlab-pygments 0.1.2
jupyterlab-server 2.10.3
jupyterlab-widgets 1.0.2
kiwisolver 1.3.2
MarkupSafe 2.0.1
matplotlib 3.5.1
matplotlib-inline 0.1.3
mistune 0.8.4
mypy-extensions 0.4.3
nbclassic 0.3.5
nbclient 0.5.10
nbconvert 6.4.0
nbformat 5.1.3
nest-asyncio 1.5.4
notebook 6.4.7
numpy 1.22.1
packaging 21.3
pandocfilters 1.5.0
parso 0.8.3
pathspec 0.9.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.0.0
pip 21.3.1
pkg_resources 0.0.0
platformdirs 2.4.1
prometheus-client 0.12.0
prompt-toolkit 3.0.24
ptyprocess 0.7.0
pure-eval 0.2.1
pycparser 2.21
Pygments 2.11.2
pyparsing 3.0.7
pyrsistent 0.18.1
python-dateutil 2.8.2
pytz 2021.3
pyzmq 22.3.0
requests 2.27.1
Send2Trash 1.8.0
setuptools 60.5.0
six 1.16.0
sniffio 1.2.0
stack-data 0.1.4
terminado 0.12.1
testpath 0.5.0
tomli 1.2.3
tornado 6.1
traitlets 5.1.1
typing_extensions 4.0.1
urllib3 1.26.8
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.2.3
wheel 0.37.1
widgetsnbextension 3.5.2
zipp 3.7.0
Notably jupyterlab==3.2.8, matplotlib==3.5.1 and ipympl==0.8.7 satisfy the version lookup table
Now running jupyter lab --ip 0.0.0.0 --no-browser from inside the pipenv shell (--ip 0.0.0.0 --no-browser because I'm accessing the notebook on a different machine).
Opening a new notebook with the default Python 3 (ipykernel) kernel, creating two cells
from matplotlib import pyplot as plt
import ipympl # Confirming it is being found by the kernel
%matplotlib widget
# Example found from https://stackoverflow.com/questions/50149562/jupyterlab-interactive-plot
plt.figure()
x = [1,2,3]
y = [4,5,6]
plt.plot(x,y)
plt.show()
Running both cells gives me the common Error message:
Error displaying widget: model not found
What I've already tried:
Where I downgrade:
ipywidgets==7.0.0
ipympl==0.2.1
matplotlib==3.2.0
And install
jupyter labextension install jupyter-matplotlib@0.3.0
No change, same error.
Edit: Using Jupyter Notebook instead of of Jupyter Lab, which means pip install jupyter instead of jupyterlab fixes the issue.
Its what I'll do in lieu of an answer here, but would still like to know if anyone has a straightforward fix for Jupyter Lab.
