"Error displaying widget" using Jupyter Lab 1.0.2

Open
#130 12 comments 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
25/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
jupyter-notebook, node.js, python
Domain
frontend, tooling

Research direction

Start by reproducing the example with the listed ipympl, JupyterLab, Node.js, and Jupyter package versions and the shown labextension commands. Check the JupyterLab widget-extension setup and version compatibility; done means the example displays the plotted widget instead of "Error displaying widget".

Written by the indexing model from the issue text.

Description

Possibly related to #124, I am trying to run a super simple example after following the installation instructions:

pip install ipympl

# If using JupyterLab
# Install nodejs: https://nodejs.org/en/download/
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib

nodejs info:

$ node -v
v10.16.0
$ npm version
{ npm: '6.9.0',
...
}

Jupyter info:

$ jupyter --version
jupyter core     : 4.5.0
jupyter-notebook : 6.0.0
qtconsole        : not installed
ipython          : 7.6.1
ipykernel        : 5.1.1
jupyter client   : 5.3.1
jupyter lab      : 1.0.2
nbconvert        : 5.5.0
ipywidgets       : 7.5.0
nbformat         : 4.4.0
traitlets        : 4.3.2

Simple example:

# Enabling the `widget` backend.
# This requires jupyter-matplotlib a.k.a. ipympl.
# ipympl can be install via pip or conda.
%matplotlib widget
# aka import ipympl
 
import matplotlib.pyplot as plt
 
plt.plot([0, 1, 2, 2])
plt.show()

Error:

Error displaying widget

Not sure what else I need, or where a version mismatch is, any help is appreciated. Thank you!

Dominant language
Jupyter Notebook
Stars
1.7k
Forks
234
PR merge metrics
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from matplotlib/ipympl

All issues in matplotlib/ipympl

Similar issues

More Web Dev issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.