Comments (5)
Seconded, this would be very nice to have, like in the notebook backend.
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This feature is a must-have. It's quite ugly, but one can write a dirty-and-quick custom widget for resizing the figure, that would give a small slidebar widget:
# fig : a Figure instance
def resize_fig(size):
fig.canvas.layout.width = '%dpx' % size
fig.canvas.layout.height = '%dpx' % size
fig.tight_layout()
import ipywidgets as widgets
widgets.interact(resize_fig, size=(0, 1000, 100))
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I also agree this is an essential feature. The loss of this feature between notebook and widget backends should be considered a regression. Existing functionality was lost.
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I agree that this is an important feature. Unfortunately I do not have the coding skill to contribute it myself.
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+1 for this feature request.
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Related Issues (20)
- Latest version of everything still causes the dreaded Error displaying widget: model not found HOT 11
- An error in use of inset_axes of mpl_toolkits in Jupyter Notebook HOT 2
- [email protected]
- Comptability with mpl cursors
- Failed to load model class 'MPLCanvasModel' from module 'jupyter-matplotlib' Error: No version of module jupyter-matplotlib is registered. HOT 6
- Please remove jupyterlab==3.* requirement so as to allow 4.x to work. HOT 3
- Ability to configure defaults for `Canvas`
- Interactive graph - Saving
- Error: No version of module jupyter-matplotlib is registered HOT 5
- [test-bot] Scheduled Tests are failing
- Matplotlib Fails to Update Axis Limits with ipywidgets in Jupyter Lab HOT 1
- Question: how to use ipympl to simply include axes in ipywidets layout? HOT 1
- Large top/bottom padding for imshow images HOT 5
- Blank figures in Jupyter notebook HOT 13
- Cannot install with pip HOT 2
- %matplotlib widget run time error HOT 5
- Installing ipympl without matplotlib ? HOT 1
- MATLAB-like Vertical/Horizontal Zoom for strictly Vertical/Horizontal Drag HOT 1
- Click handler is broken with matplotlib>=3.5 HOT 1
- Conda Installation Safety Error - Size does not match reported size
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