8000 Proplot in jupyterlab generate continuous cpu usage · Issue #222 · proplot-dev/proplot · GitHub
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ghislainp opened this issue Aug 26, 2020 · 1 comment
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Proplot in jupyterlab generate continuous cpu usage #222

ghislainp opened this issue Aug 26, 2020 · 1 comment
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@ghislainp
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Description

Proplot plots make busy jupyterlab all the time.

Steps to reproduce

A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you.

import proplot as pp
%matplotlib widget

f, axs = pp.subplots()

axs.plot([1, 5], [6, 7])

Expected behavior: Once plotted, jupyterlab should return to "idle" mode (when the mouse is not moving)

Actual behavior: Once plotted, jupyterlab switches between idle and busy very rapidly and loads the CPU.

Equivalent steps in matplotlib

Please make sure this bug is related to a specific proplot feature. If you're not sure, try to replicate it with the native matplotlib API. Matplotlib bugs belong on the matplotlib github page.

import matplotlib.pyplot as plt
%matplotlib widget

plt.plot([1, 5], [6, 7])

Proplot version

Proplot: 0.6.1
Matplotlib: 3.3.1
jupyterlab: 2.2.6
ipympl: 0.5.7
@lukelbd
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lukelbd commented Jun 30, 2021 •
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Hi, this is probably related to #76. The problem proplot has with these interactive backends is its complicated geometry/layout algorithm updates subplot positions and figure sizes automatically... but the backends trigger these updates constantly.

I added support for %matplotlib notebook backend by (necessarily) disabling auto figure resizing, but after an hour of trying I couldn't get ipympl installed on my machine. However I think 38290e7 might solve the issue -- it disables auto-figure-sizing when ipympl is the backend.

Try out the development branch with pip install git+https://github.com/lukelbd/proplot.git if you're still interested.

@lukelbd lukelbd added the bug label Jun 30, 2021
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@ghislainp @lukelbd
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