Comments (8)
Switching to inline means none of the interactive examples will work. To get them to work under jupyterlab (rather than the classic notebooks) the magics should be switched to %matplotlib widget
and the install instruction should be updated to make sure ipympl
is installed (on both the js and python sides).
from anatomyofmatplotlib.
I am able to run all examples by switching to inline and removing backend at the same time. Also %matplotlib widget
, after installing ipympl
, results in the following error in the Test Install.ipynb
.
Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …
I am using Python 3.6.8.
from anatomyofmatplotlib.
I believe you have to restart your server after installing ipympl. One of the strenghts of Matplotlib is that it is interactive (you can pan / zoom, add lines iteratively etc). Switching to the inline backend throws all of that out and replaces the plots to static png that must be generated all in one cell so I am very reluctant to change the tutorial to be based on 'inline'.
from anatomyofmatplotlib.
I already restarted after installing it. Still results in the same error. Additionally, running the cell more than once results in another error:
KeyError: '97acd0c8fb504a2288834b349003b4ae'
from anatomyofmatplotlib.
That still sounds like installation issues. Can you open an issue with https://github.com/matplotlib/jupyter-matplotlib ?
from anatomyofmatplotlib.
You can find the issue at #148. Any workarounds for the backend issue? Not sure if this matplotlib.use('nbagg')
is needed anymore.
from anatomyofmatplotlib.
As I said above, we need to update the notebooks and install instructions to work with ipypmpl rather than nbagg
.
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Requesting a review for #33
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