
ipycanvas: Interactive Canvas in Jupyter
ipycanvas: Interactive Canvas in Jupyter # Try it online # You can try ipycanvas, without the need of installing anything on your computer, using mybinder by clicking on this badge: Or you can …
ipycanvas-drawing · PyPI
Feb 13, 2023 · Small utility to make simple drawings in Jupyter notebooks with ipycanvas and ipywidgets. Useful for getting quick user input in research prototypes, e.g., for masking or …
ipycanvas: A Python Canvas for Jupyter - Medium
Oct 25, 2019 · ipycanvas exposes the Canvas API to IPython, making it possible to draw anything you want on a Jupyter Notebook directly in Python! Anything is possible, you can draw custom …
python - Jupyter notebook: let a user inputs a drawing - Stack Overflow
Apr 8, 2019 · Is there a simple and user friendly tool that can be used within a jupyter-notebook to let the user draw something in black on a white space (let say of size (x,y) pixels) after running …
How to draw in a python jupyter notebook? - Stack Overflow
Jun 9, 2016 · I'm connecting to a remote jupyter server, so I think everything needs to be inline. I've read some stuff about bokeh, and it seems like it might be useful, but I don't know where …
Jupyter Notebook: interactive plot with widgets - Stack Overflow
interact(plot_func, freq = widgets.FloatSlider(value=7.5, min=1, max=5.0, step=0.5)) After moving the slider to 4.0, I have: while I just want one figure to change as I move the slider. How can I …
Basic usage — ipycanvas documentation
Optimizing drawings # By default, the Python Canvas object sends all the drawings commands like fill_rect and arc one by one through the widgets communication layer.
ipycanvas · PyPI
ipycanvas Interactive Canvas in Jupyter ipycanvas is a lightweight, fast and stable library exposing the browser's Canvas API to IPython. It allows you to draw simple primitives directly …
jupyter-widgets-contrib/ipycanvas: Interactive Canvas in Jupyter - GitHub
It allows you to draw simple primitives directly from Python like text, lines, polygons, arcs, images etc. This simple toolset allows you to draw literally anything!
Try it online! — jupyter-widgets-contrib 1.0.0 documentation
Draw data directly from a NumPy array. Create your own plotting library fully in Python.
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