Tearing on interactive ROI

Open

#318 opened on Apr 13, 2021 3 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty: 4/5
Estimated time: 3-5 days
Newbie friendliness: 35/100

Issue type: Bug
Clarity: Mostly clear
Activity status: Stale
Tech stack: jupyter-notebook, python
Domain: data-visualization, frontend

Research direction

Reproduce the tearing with the provided conda environment, ipympl 0.7.0, JupyterLab 3.0.14, and the linked Matplotlib RectangleSelector example, testing both useblit=True and useblit=False. Trace whether the problem is in the interactive ROI rendering or the Jupyter widget integration; done means the plot no longer tears in the reported setup.

Written by the indexing model from the issue text.

Description

Describe the issue

The plots tear heavily when using interactive rois after creating a new environment (conda create --name testplot ipympl matplotlib jupyterlab).

First noticed in hyperspy/hyperspy#2706, it appears to be a problem with both mpl 3.3/3.4 and ipympl 0.6/0.7.

This matplotlib interactive example results in the following output, both with useblit=True and =False.

Versions

 3.9.2 | packaged by conda-forge | (default, Feb 21 2021, 04:59:43) [MSC v.1916 64 bit (AMD64)]
ipympl version: 0.7.0
jupyter core     : 4.7.1
jupyter-notebook : 6.3.0
qtconsole        : not installed
ipython          : 7.22.0
ipykernel        : 5.5.3
jupyter client   : 6.1.12
jupyter lab      : 3.0.14
nbconvert        : 6.0.7
ipywidgets       : 7.6.3
nbformat         : 5.1.3
traitlets        : 5.0.5
Known nbextensions:
  config dir: C:\Users\thomasaar\Miniconda3\envs\testplot\etc\jupyter\nbconfig
    notebook section
      jupyter-matplotlib/extension enabled
      - Validating: ok
      jupyter-js-widgets/extension enabled
      - Validating: ok
JupyterLab v3.0.14
C:\Users\thomasaar\Miniconda3\envs\testplot\share\jupyter\labextensions
        jupyter-matplotlib v0.9.0 enabled ok
        @jupyter-widgets/jupyterlab-manager v3.0.0 enabled ok (python, jupyterlab_widgets)

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

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