10.5281/zenodo.54004
https://zenodo.org/records/54004
oai:zenodo.org:54004
Francisco de la Peña
Francisco de la Peña
University of Cambridge
Vidar Tonaas Fauske
Vidar Tonaas Fauske
Simile Research Laboratory
Pierre Burdet
Pierre Burdet
EPFL
Tomas Ostasevicius
Tomas Ostasevicius
University of Cambridge
Mike Sarahan
Mike Sarahan
Continuum Analytics
Magnus Nord
Magnus Nord
Josh Taillon
Josh Taillon
University of Maryland
Duncan Johnstone
Duncan Johnstone
University of Cambridge
Katherine E. MacArthur
Katherine E. MacArthur
Forschungszentrum Jülich
Alberto Eljarrat
Alberto Eljarrat
Stefano Mazzucco
Stefano Mazzucco
Jan Caron
Jan Caron
Research Centre Jülich / Ernst Ruska Centre
Tom Furnival
Tom Furnival
University of Cambridge
Michael Walls
Michael Walls
Eric Prestat
Eric Prestat
University of Manchester
Gaël Donval
Gaël Donval
Ben
Ben
Luiz Fernando Zagonel
Luiz Fernando Zagonel
Unicamp
Petras
Petras
Thomas Aarholt
Thomas Aarholt
University of Oxford
Andreas Garmannslund
Andreas Garmannslund
iygr
iygr
hyperspy: HyperSpy 0.8.5
Zenodo
2016
2016-06-01
https://github.com/hyperspy/hyperspy/tree/v0.8.5
10.5281/zenodo.592838
v0.8.5
Other (Open)
HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multi-dimensional datasets that can be described as multi-dimensional arrays of a given signal (e.g. a 2D array of spectra a.k.a spectrum image).
HyperSpy aims at making it easy and natural to apply analytical procedures that operate on an individual signal to multi-dimensional arrays, as well as providing easy access to analytical tools that exploit the multi-dimensionality of the dataset.
Its modular structure makes it easy to add features to analyze different kinds of signals.
This is a maintenance release.