Software Open Access
Francisco de la Peña; Tomas Ostasevicius; Vidar Tonaas Fauske; Pierre Burdet; Eric Prestat; Petras Jokubauskas; Magnus Nord; Katherine E. MacArthur; Mike Sarahan; Duncan N. Johnstone; Joshua Taillon; Alberto Eljarrat; Vadim Migunov; Jan Caron; Tom Furnival; Stefano Mazzucco; Thomas Aarholt; Michael Walls; Tom Slater; Florian Winkler; Ben Martineau; Gaël Donval; Robert McLeod; Eric R. Hoglund; Ivo Alxneit; Ida Hjorth; Trond Henninen; Luiz Fernando Zagonel; Andreas Garmannslund; 5ht2
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
Support for three new file formats:
New artificial data module which contains functions for generating artificial data, for use in things like docstrings or for people to test HyperSpy functionalities.
statisticsmethod to compute useful hologram parameters.
plot_imagesnow supports iterable types, allowing the user to specify different colormaps for the different images that are plotted by providing a list or other generator.
remove_backgroundmethod 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.
Signal2D.plotmethod now takes a norm keyword that can be
"auto"or a matplotlib norm. Moreover, there are three new extra keyword arguments,
power_spectrum, that are useful whe plotting fourier transforms.
Signal2D.estimate_shift2Dcan operate with sub-pixel accuracy using skimage's upsampled matrix-multiplication DFT.