Metadata-Version: 1.1
Name: numpy-stl
Version: 1.0.2
Summary: 
Library to make reading, writing and modifying both binary and ascii STL files
easy.

Home-page: https://github.com/WoLpH/numpy-stl/
Author: Rick van Hattem
Author-email: Wolph@Wol.ph
License: BSD
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.
        
        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
        ==============================================================================
        
        .. code-block:: python
        
           from stl import stl
           
           mesh = stl.StlMesh('some_file.stl')
           # The mesh normals (calculated automatically)
           mesh.normals
           # The mesh vectors
           mesh.v0, mesh.v1, mesh.v2
           # Accessing individual points (concatenation of v0, v1 and v2 in triplets)
           mesh.points[0] == mesh.v0[0]
           mesh.points[1] == mesh.v1[0]
           mesh.points[2] == mesh.v2[0]
           mesh.points[3] == mesh.v0[1]
           
           mesh.save('new_stl_file.stl')
           
        
        .. _numpy: http://numpy.org/
        .. _python-utils: https://github.com/WoLpH/python-utils 
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
