Library to make reading, writing and modifying both binary and ascii STL files easy.
Project description
stl-numpy
Simple library to make working with STL files (and 3D objects in general) fast and easy.
Due to all operations heavily relying on numpy this is one of the fastest STL editing libraries for Python available.
Links
The source: https://github.com/WoLpH/numpy-stl
Project page: https://pypi-hypernode.com/pypi/numpy-stl
Reporting bugs: https://github.com/WoLpH/numpy-stl/issues
Documentation: http://numpy-stl.readthedocs.org/en/latest/
My blog: http://w.wol.ph/
Requirements for installing:
numpy any recent version
python-utils version 1.6 or greater
Installation:
pip install numpy-stl
Initial usage:
stl2bin your_ascii_stl_file.stl new_binary_stl_file.stl
stl2ascii your_binary_stl_file.stl new_ascii_stl_file.stl
stl your_ascii_stl_file.stl new_binary_stl_file.stl
Quickstart
import numpy
from stl import mesh
# Using an existing stl file:
your_mesh = mesh.Mesh.from_file('some_file.stl')
# Or creating a new mesh (make sure not to overwrite the `mesh` import by
# naming it `mesh`):
VERTICE_COUNT = 100
data = numpy.zeros(VERTICE_COUNT, dtype=mesh.Mesh.dtype)
your_mesh = mesh.Mesh(data, remove_empty_areas=False)
# The mesh normals (calculated automatically)
your_mesh.normals
# The mesh vectors
your_mesh.v0, your_mesh.v1, your_mesh.v2
# Accessing individual points (concatenation of v0, v1 and v2 in triplets)
assert (your_mesh.points[0][0:3] == your_mesh.v0[0]).all()
assert (your_mesh.points[0][3:6] == your_mesh.v1[0]).all()
assert (your_mesh.points[0][6:9] == your_mesh.v2[0]).all()
assert (your_mesh.points[1][0:3] == your_mesh.v0[1]).all()
your_mesh.save('new_stl_file.stl')Plotting using matplotlib is equally easy:
from stl import mesh
from mpl_toolkits import mplot3d
from matplotlib import pyplot
# Create a new plot
figure = pyplot.figure()
axes = mplot3d.Axes3D(figure)
# Load the STL files and add the vectors to the plot
your_mesh = mesh.Mesh.from_file('tests/stl_binary/HalfDonut.stl')
axes.add_collection3d(mplot3d.art3d.Poly3DCollection(your_mesh.vectors))
# Auto scale to the mesh size
scale = your_mesh.points.flatten(-1)
axes.auto_scale_xyz(scale, scale, scale)
# Show the plot to the screen
pyplot.show()Release history Release notifications | RSS feed
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