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  • User guide
  • API reference
  • Contributing
  • Changelog

Site Navigation

  • User guide
  • API reference
  • Contributing
  • Changelog

Section Navigation

Getting started

  • Installation

Usage

  • Tutorials
    • Crystal reference frame
    • Visualizing point groups
    • Crystal directions
    • Inverse pole figures
    • Uniform sampling of orientation space
    • Stereographic projection
    • Sampling unit vectors
    • Visualizing Crystal Poles in the Pole Density Function
    • Clustering across fundamental region boundaries
    • Clustering orientations
    • Clustering misorientations
    • Crystal map
  • Examples
    • Select and modify data
    • Inverse pole density function
    • Misorientation from aligning directions
    • Orientation from aligning directions
    • Subplots
    • Wulff net
    • Plot symmetry operations
    • Restrict to fundamental sector
    • Zoom region inset

Resources

  • Bibliography
  • Applications
  • Related projects
  • License
  • User guide
  • Related projects

Related projects#

This is a non-exhaustive list of related, open-source projects that users of orix might find useful:

  • pyxem: Python library for multi-dimensional diffraction microscopy. pyxem depends on orix for handling of crystal orientations.

  • diffsims: Python library for simulating diffraction. diffsims depends on orix for orientation sampling and handling of crystal orientations and directions.

  • kikuchipy: Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns. kikuchipy depends on orix for orientation sampling and handling of crystal orientations and directions.

  • MTEX: MATLAB toolbox for analyzing and modelling crystallographic textures by means of EBSD or pole figure data.

  • DefDAP: Python package for correlating EBSD and high-resolution digital image correlation data.

  • numpy-quaternion: Python package that adds a built in quaternion data dtype to numpy. orix depends on numpy-quaternion for quaternion multiplication.

  • texture: Python scripts for analysis of crystallographic texture.

  • pymicro: Python package to work with material microstructures and 3D data sets.

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