ipympl not working nicely with interact
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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, jupyter-notebook, python
- Domain
- data-visualization, frontend
Research direction
Run the supplied ipympl and interact reproducer, then compare its figure-update behavior with the inline backend. Trace the ipympl backend and widget update path involved in repeated interact calls; done means updates keep one plot visible without erasing the figure.
Written by the indexing model from the issue text.
Description
Trying to follow some simple examples of Jupyter widgets with matplotlib, but I'm having issues when using the ipympl backend. The first update to a plot produces a second plot (overplotted), and the second update just erases the figure window altogether. This does not happen when using inline.
Here's some simple code to reproduce the issue:
%matplotlib ipympl
import matplotlib.pyplot as plt
from ipywidgets import interact
def f(n):
plt.plot([0,1,2],[0,1,n])
plt.show()
interact(f,n=(0,10));
If I use inline, this will update the line plot. With ipympl it fails.
I am using ipympl 0.1.0 from Anaconda, together will other packages:
ipywidgets 7.0.0 py36_intel_0 [intel] intel
ipympl 0.1.0 py36_1 conda-forge
matplotlib 2.0.2 np113py36_intel_1 [intel] intel
ipython 6.1.0 py36_intel_0 [intel] intel
jupyter 1.0.0 py36_intel_5 [intel] intel
jupyter_client 5.1.0 py36_intel_0 [intel] intel
jupyter_console 5.1.0 py36_intel_0 [intel] intel
jupyter_core 4.3.0 py36_intel_1 [intel] intel
- Dominant language
- Jupyter Notebook
- Stars
- 1.7k
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
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