Engineering-oriented tool to interactively build, work and perform shading simulations with 3D geometries.
pyny3d in GitHub
pyny3d is a Python3 tyny 3D tool for build and generate information from simple and light geometry models based on polygons. Furthermore, it is possible to perform solar shading simulations and timeseries data projections (radiation, for example) over them. The whole library can be used interactively or coded autonomously or alongside with other codes.
It is built on top of numpy, scipy, matplotlib and shapely. It uses two
well-known 2D geometry objects (
shapely.geometry.Polygon) to safely compute a wide range of planar operations
at reasonable speed, without the need for the user to worry about the low-level
It has been designed to be a tool for scientific and engineering applications. It could hardly be useful in other areas such as computer graphics.
Very simple example using some basic funtionalities:
import numpy as np import pyny3d.geoms as pyny # Geometry creation ## Polygons by their vertices base = np.array([[0,0], [10,0], [10,10], [0,10]]) # Base square on the floor pillar = np.array([[4,4,8], [6,4,8], [6,6,8], [4,6,8]]) # Top obtacle polygon (to extrude) ## Obstacle place = pyny.Place(base) place.add_extruded_obstacles(pillar) space = pyny.Space(place) # Shadows S = space.shadows(init='auto', resolution='high') # Viz S.viz.exposure_plot()
pyny3d is developing in a educational and reseach environment by
civil engineers in order to create a very easy to use and intuitive
library. For these reason, I do not recommend to use it in applications
where geometries could be very complex or if the performance is a determinant
On the other hand, it is actually a great tool for prototype more general purpose programs, working inside them to automate operations on 3D geometries (like translations, rotations, arbitrary projections, shading…) and then return this information back.
- Python >=3.x
- Shapely >=1.5.x <https://pypi.python.org/pypi/Shapely>
- matplotlib >=1.5.x <http://matplotlib.org/faq/installing_faq.html#installation>
- scipy >=0.17.x <http://www.scipy.org/install.html>
- numpy >=1.10.x <http://www.scipy.org/install.html>
Use the pip install way: $ pip install pyny3d
pyny3d is far from be the full-featured and optimized library I expect.
Releasing v0.1 allows me to start receiving feedback from users and will help
me to continue developing better and faster.
On the other hand, I want to advice that the inclusion of non-straight lines or non-planar surfaces are not expected. In the same way, all the computations will be guaranteed only for convex polygons and bodies.
- .stretch() method.
- Compute volumes and areas.
- Extrude polyhedra on arbitrary directions.
- Rotate about arbitrary axes.
Overlapping plots (Official matplotlib explanation)
Visualizations generated with
matplotlibfrequently have overlapping problems. This is because
matplotlibinitially was not designed to be a great 3D graph plotter. When it is required to plot a 2D projection of a 3D multi-body representation, it has problems to figure out which objects are in front and which ones are behind. It is important to remark that this is only a visualization problem that DO NOT affects internal ‘pyny3d’ calculations, indeed, all the
plotcommands are no-return paths.
I am studying to implement
Mayavito solve that problem and, at the same time, increase the quality and the possiblities of
pyny3dplots. But, for now, in order to keep the intallation and usage as simple as possible for the users, I will keep
matplotlibas the only visualization tool.