Package Details: python-ipympl 0.5.8-1

Git Clone URL: https://aur.archlinux.org/python-ipympl.git (read-only, click to copy)
Package Base: python-ipympl
Description: Matplotlib Jupyter Extension
Upstream URL: https://pypi.org/project/ipympl/
Licenses: BSD
Submitter: flipflop97
Maintainer: deep_thought
Last Packager: deep_thought
Votes: 6
Popularity: 0.24
First Submitted: 2019-01-02 15:51
Last Updated: 2020-09-12 18:20

Latest Comments

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tinux commented on 2020-03-03 09:56

@deep_thought Thank you for the super fast updates :-D!

deep_thought commented on 2019-11-15 12:56

sry, I didn't want to sound harsh.

I do not use it regularly (I'm just the admin of the computer where it is used), so I cannot speak about the past, but I just tried tinux's example below and it works (though, I'm still on python 3.7.4 and python 2.7.17, because some other python packages need to be rebuilt first, yet).

iyanmv commented on 2019-11-15 12:47

@deep_thought ok ok! Anyway, does it work for you right now? Even before the python-3.8 upgrade was not working for me, but now still the same.

deep_thought commented on 2019-11-15 12:29

three reasons:

  1. official PKGBUILDs do the same

  2. how would I determine the content of python-ipympl-common?

  3. it uses the same source for all parts, so a split-package seems perfect

iyanmv commented on 2019-11-15 12:25

Why not split this packages into two: python-ipympl and python2-ipympl?

deep_thought commented on 2019-11-14 21:52

sure it works with python-3.8 - I will update the PKGBUILD.

tinux commented on 2019-11-14 20:04

This package works fine with python-3.8. I simply remove the corresponding line.

tinux commented on 2019-07-10 19:58

Yesterday, before the update to jupyterlab-1.0.2, which happened just now, ipympl was actually working, even for me. But just now when I upgraded jupyterlab it doesn't anymore. There are no error messages, just in the notebook I'm getting this now:

%matplotlib widget

import matplotlib.pyplot as plt
import numpy as np
import funcs

fig, ax = plt.subplots()
ax.plot([1, 2])

Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …

[<matplotlib.lines.Line2D at 0x7fb5db35a240>]

Do you guys have a special update routine?

tinux commented on 2019-07-01 14:13

@alleut: Yes, that's what's written on github. Still, I have nodejs installed and it doesn't work (for me). Is it working for you?

Anonymous comment on 2019-07-01 14:08

It seems that the extension needs more components to work properly:

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