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Experimental 3D axis for matplotlib

License: BSD 2-Clause "Simplified" License

Python 100.00%
python matplotlib 3d-engine scientific-visualization

matplotlib-3d's Introduction

Experimental 3d axis for matplotlib

Multiviews

This experimental project is an attempt at providing a better and more versatile 3d axis for Matplotlib. The heart of the code is explained in this blog post: Custom 3D engine in Matplotlib.

Note that we cannot have a full 3d engine because we do not have a proper zbuffer that allows to test individual pixels. This means we need to sort our points/lines/triangles in order to draw them from back to front. Most of the time, this does the trick but there exist some situations where it is impossible to avoid problems. For example, consider two triangles that intersect each other. In in such a case, we have to decide arbitrarily which triangle will be drawn on top of the other.

Read the documentation

Install

You can install by pip command.

pip install git+https://github.com/rougier/matplotlib-3d

matplotlib-3d's People

Contributors

lhoupert avatar r03ert0 avatar rougier avatar slabko avatar tkoyama010 avatar

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matplotlib-3d's Issues

in a jupyter notebook: how to force Mesh display to be a png and not an svg?

hello ๐Ÿ‘‹
I'm using matplotlib-3d to display meshes inside a jupyter notebook. The meshes are ~20k vertices, and Mesh() produces very large svg files (my notebooks end up with file sizes on the ~100 MB!). Is there a way of forcing the resulting image to be a png instead of an svg? I know I can save the image as a png using plt.savefig() -- and that works great -- but I'd like somehow to replace the svg in the notebook by that png...
thank you in advance!

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