easy SVG drawing in jupyter and elsewhere...
Click on the "brush" icon in the jupyter toolbar to create an SVG cell below the current selection.
To change the label of a shape, double-click on it and type. Hit enter to finish. To use latex, start and finish the label
with $$ as in $$\sum_i i$$.
The egal canvas shows/overlays a window of frames. This window is specified by the two numbers between the left and right arrow icons. The left number is the first frame included in the window, the right number the last frame. Each object (circles, boxes, freestyle shapes etc.) is associated with its own frame window which appears on the right when selecting the object. An object is rendered on the egal canvas when the egal frame window overlaps with the object frame window.
Using this setup, to generate an animate build-in sequence you can:
- set the window of the first object to appear to
(1,100) - set the window of the second object to appear to
(2,100) - etc.
To click through the animation, set the egal window to (1,1). Then click on the right arrow which will move the frame window to (2,2), and so on.
It will look something like this:
egal's focus is on drawing simple graphs:
- Basic Shapes (circles, rectangles, lines)
- Freestyle Drawing
- Connectors
- Labels, with support for Latex
- Alignment hints when dragging and resizing
- Multiple Selection
- Animation (Build-in & Build-out)
- Copy & Paste
egal creates a raw jupyter cell and stores the edited SVG in the source code field of that cell.
Manually by cloning and changing the python path:
git clone https://github.com/uclmr/egal.git
cd egal
export PYTHONPATH=. or (experimental) install python package directly:
pip3 install git+https://github.com/uclmr/egal.gitjupyter nbextension install --py egal
jupyter nbextension enable --py egal If you want to use egal outside of a notebook you need to install the server extensions (which allows clients to save the SVG on the jupyter server):
jupyter serverextension enable --py egal Then you can edit an SVG on the server via accessing http://localhost:8888/files/draw.html (assuming you run
jupyter notebook locally).