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Published September 3, 2018 | Version v1.1.0+1
Software Open

hyperspy/hyperspy: HyperSpy 1.4

  • 1. University of Cambridge
  • 2. Simula Research Laboratory
  • 3. EPFL
  • 4. University of Manchester/SuperSTEM Laboratory
  • 5. University of Warsaw
  • 6. Forschungszentrum Jülich
  • 7. @ContinuumIO
  • 8. National Institute of Standards and Technology (@usnistgov)
  • 9. Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons, Peter Grünberg Institute, Forschungszentrum Jülich, Germany
  • 10. Research Centre Jülich / Ernst Ruska Centre
  • 11. University of Oxford
  • 12. University of Manchester
  • 13. Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C), Forschungszentrum Jülich
  • 14. Entropy Reduction Algorithmics
  • 15. The University of Virginia
  • 16. Empa
  • 17. Unicamp

Description

This is the same as v1.1.0 but the distribution file size is smaller because one large file required for the tests was removed and is now downloaded when running the test

This is a minor release. Follow the following links for details on all the bugs fixed, enhancements and new features.

NEW
  • Support for three new file formats:

    • Reading FEI's Velox EMD file format based on the HDF5 open standard.
    • Reding Burcker's SPX format.
    • Reading and writing the mrcz open format.
  • New artificial data module which contains functions for generating artificial data, for use in things like docstrings or for people to test HyperSpy functionalities.

  • New fft and ifft signal methods.
  • New statistics method to compute useful hologram parameters.
  • Automatic axes units conversion and better units handling using pint.
  • New Line2DROI.angle().
Enhancements
  • plot_images improvements:
    • The cmap option of plot_images now supports iterable types, allowing the user to specify different colormaps for the different images that are plotted by providing a list or other generator.
    • Clicking on an individual image updates it.
  • New customizable keyboard shortcuts to navigate multi-dimensional datasets.
  • The remove_background method now operates much faster in multi-dimensional datasets and adds the options to interatively plot the remainder of the operation and to set the removed background to zero.
  • The Signal2D.plot method now takes a norm keyword that can be "linear", "log","auto" or a matplotlib norm. Moreover, there are three new extra keyword arguments, fft_shift and power_spectrum, that are useful whe plotting fourier transforms.
  • The Signal2D.align2D and Signal2D.estimate_shift2D can operate with sub-pixel accuracy using skimage's upsampled matrix-multiplication DFT.

Files

hyperspy/hyperspy-v1.1.0+1.zip

Files (42.5 MB)

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