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Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'
See original GitHub issueDescribe the issue
This example plot is failing:
%matplotlib ipympl
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(3*x)
ax.plot(x, y)
[Open Browser Console for more detailed log - Double click to close this message]
Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib'
Error: No version of module jupyter-matplotlib is registered
at WidgetManager.loadClass (http://localhost:8888/lab/extensions/@jupyter-widgets/jupyterlab-manager/static/lib_index_js.c47facf974cffc1de06d.js:942:19)
at WidgetManager.loadModelClass (http://localhost:8888/lab/extensions/@jupyter-widgets/jupyterlab-manager/static/packages_base-manager_lib_index_js.dcca134bd5d3eec26948.js:819:34)
at WidgetManager._make_model (http://localhost:8888/lab/extensions/@jupyter-widgets/jupyterlab-manager/static/packages_base-manager_lib_index_js.dcca134bd5d3eec26948.js:651:36)
at WidgetManager.new_model (http://localhost:8888/lab/extensions/@jupyter-widgets/jupyterlab-manager/static/packages_base-manager_lib_index_js.dcca134bd5d3eec26948.js:495:35)
at WidgetManager.handle_comm_open (http://localhost:8888/lab/extensions/@jupyter-widgets/jupyterlab-manager/static/packages_base-manager_lib_index_js.dcca134bd5d3eec26948.js:405:21)
at LabWidgetManager._handleCommOpen (http://localhost:8888/lab/extensions/@jupyter-widgets/jupyterlab-manager/static/lib_index_js.c47facf974cffc1de06d.js:815:24)
at b._handleCommOpen (http://localhost:8888/static/lab/jlab_core.3ff62e44d3544d23c59e.js?v=3ff62e44d3544d23c59e:2:925131)
at async b._handleMessage (http://localhost:8888/static/lab/jlab_core.3ff62e44d3544d23c59e.js?v=3ff62e44d3544d23c59e:2:927121)
Versions
3.8.5 (default, Sep 4 2020, 02:22:02)
[Clang 10.0.0 ]
ipympl version: 0.8.8
Selected Jupyter core packages...
IPython : 7.28.0
ipykernel : 6.4.1
ipywidgets : 8.0.0rc0
jupyter_client : 7.0.6
jupyter_core : 4.8.1
jupyter_server : 1.11.1
jupyterlab : 3.1.18
nbclient : 0.5.4
nbconvert : 6.2.0
nbformat : 5.1.3
notebook : 6.4.4
qtconsole : not installed
traitlets : 5.1.0
Known nbextensions:
config dir: /Users/davidlaxer/.jupyter/nbconfig
notebook section
jupyter-js-widgets/extension enabled
- Validating: OK
bqplot/extension enabled
- Validating: OK
config dir: /Users/davidlaxer/tensorflow-metal/etc/jupyter/nbconfig
notebook section
catboost-widget/extension enabled
- Validating: OK
jupyter-matplotlib/extension enabled
- Validating: OK
jupyterlab-plotly/extension enabled
- Validating: OK
jupyter-js-widgets/extension enabled
- Validating: OK
JupyterLab v3.1.18
/Users/davidlaxer/tensorflow-metal/share/jupyter/labextensions
@jupyter-widgets/jupyterlab-manager v5.0.0-rc.0 enabled OK
Other labextensions (built into JupyterLab)
app dir: /Users/davidlaxer/tensorflow-metal/share/jupyter/lab
jupyter-matplotlib v0.11.0 enabled OK
jupyterlab-plotly v5.7.0 enabled OK
Issue Analytics
- State:
- Created a year ago
- Reactions:1
- Comments:24 (4 by maintainers)
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I am experiencing a very similar issue: In a new environment with
ipympl==0.9.2,ipywidgets==8.0.2initially the matplotlib figure is displayed correctly in Jupyterlab with the minimal example:A different extension needed an update though and that triggered a Jupyterlab build. After the build finished without errors the same example only yields the error message in the cell output:
This seems to indicate that something is still not working in the built process. This reminds me of similar issues in the past where in a new environment everything worked but for unclear reasons after an update it became impossible to recover.
A workaround seems to be the complete cycle of
conda uninstall jupyterlab ipympl,conda install -c conda-forge jupyterlab ipympl. Just reinstalling ipympl is not enough.I’m still experiencing this issue with ipywidgets 8.0.1 and ipympl 0.9.2, which is the latest release and includes gh-461. Should I open a new one, or continue the conversation here?
This uses
jupyterlab-widgets==3.0.2on the JupyterLab environment (we have 2 separate environments because we’re using https://github.com/jupyter-server/enterprise_gateway/).