Interactive Juypyter Notebook figures dont work on Windows about defdap HOT 5 CLOSED

Running
%matplotlib qt
before
import matplotlib.pyplot as plt
seems to work on both Windows and OSX from my experience. I changed the example workbook accordingly.

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Does the qt backend work for you on Windows 10 @merrygoat? I'm currently using it on OSX and it works nicely. Would be good to have an unified backend for Windows and OSX.

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I am getting super inconsistent results, with some backends the plots aren't showing at all and it makes a difference if the plots are inline or not. I'm away for a couple of weeks now but we should look at this again when I get back.

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Qt still not working for me - my guess would be that the difference is due to us having different library versions. Overall it isn't a big deal since %matplotlib notebook works.

A small correction for the notebook:

In cell 4
DicMap.plotMaxShear(plotColourBar=True, scaleBar=True, vmin=0, vmax=0.1)
should be
DicMap.plotMaxShear(plotColourBar=True, plotScaleBar=True, vmin=0, vmax=0.1)

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EDIT: %matplotlib qt is working well for me at the moment, im not sure what changed but I now get a figure popup outside of the notebook.
For reference I will leave the below information as an alternative method should anyone want interactive inline plots.

I have managed to get interactive figures working in windows using %matplotlib ipympl (instead of widget). The installation steps are as below:

14

Complete steps
Install nodejs, e.g. conda install nodejs.
Install ipympl, e.g. pip install ipympl.
[Optional, but recommended; update JupyterLab, e.g.
pip install --upgrade jupyterlab.]
[Optional, but recommended; for a local user installation, run:
export JUPYTERLAB_DIR="$HOME/.local/share/jupyter/lab".]
Install extensions:

jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib
Enable widgets: jupyter nbextension enable --py widgetsnbextension.

Restart JupyterLab.
Decorate with %matplotlib widget (I had to use %matplotlib IPYMPL)

Source: https://stackoverflow.com/questions/50149562/jupyterlab-interactive-plot

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