PyGPlates 0.36 released

PyGPlates 0.36 released

PyGPlates enables access to GPlates functionality via the Python programming language.

Download PyGPlates 0.36:-

Download PyGPlates 0.36 from the Download page.

What's new in PyGPlates 0.36:-

  • Versioning scheme changed:
    • This release is version 0.36 (instead of revision 36).
  • Separate binary packages for macOS on Intel (x84_64) and macOS on M1 (arm64).
    • Unlike GPlates, pyGPlates typically needs to be compiled separately for these two architectures.
  • New class topological model:
  • File I/O:
  • New ways to create a rotation between two points, or between two lines:
  • Interior holes supported in polygons (including dateline-wrapped polygons).
  • All geometry types support get_centroid().
    • Avoids having to first test if geometry is a point, multi-point, polyline or polygon.
  • Support all NumPy integer and float scalar types as arguments in pyGPlates:
    • For example, a pyGPlates function accepting a float will also accept a numpy.float64.
  • Bug fixes.

Coming soon:-

  • Anaconda support:
    • conda install pygplates

What's next:-

  • Improve velocities:
    • Make velocities generally easier to calculate.
    • Query velocities (and strain rates) inside deforming networks.
    • Query velocities on topological boundaries (rigid and deforming).
  • Improve the reconstruction/deformation of points using topogical plates and deforming networks:
    • Support creating deforming mesh points within a specific deforming network.
      • Similar to the "Generate Deforming Mesh Points" dialog in GPlates.
    • Query velocities, strain rates and accumulated strain at reconstructed/deformed points.
      • Currently can query their positions and scalars (eg, crustal stretching and tectonic subsidence).


Documentation and tutorials are available on the User Documentation page, and include:

  • an introduction to pyGPlates,
  • an installation guide,
  • a 'Getting Started' tutorial,
  • documented sample code,
  • foundations of pyGPlates, and
  • a detailed reference of pyGPlates functions and classes.

The pyGPlates tutorials are Jupyter Notebooks that analyse and visualise real-world data using pyGPlates. These tutorials complement the sample code in the pyGPlates documentation by providing a more research-oriented focus.