Path to this page:
./
wip/py-hyperspy,
Multidimensional data analysis toolbox
Branch: CURRENT,
Version: 0.7.2,
Package name: py27-hyperspy-0.7.2,
Maintainer: jihbed.researchHyperSpy is an open source Python library which provides tools to facilitate
the interactive data analysis of multidimensional datasets that can be
described as multidimensional arrays of a given signal (e.g. a 2D array of
spectra a.k.a spectrum image)
Hyperpsy aims at making it easy and natural to apply analytical procedures that
operate on an individual signal to multidimensional arrays, as well as
providing easy access to analytical tools that exploit the multidimensionality
of the dataset.
Its modular structure makes it easy to add features to analyze different kinds
of signals. Currently there are specialized tools to analyze electron
energy-loss spectroscopy (EELS) and energy dispersive X-rays (EDX) data.
Required to run:[
graphics/py-matplotlib] [
math/py-scipy] [
lang/python27] [
math/py-numpy16]
Required to build:[
pkgtools/cwrappers]
Master sites:
RMD160: 35d26a35104c6ea50e08cc12bf3ae511a046bb96
Filesize: 942.815 KB
Version history: (Expand)
- (2024-09-19) Package has been reborn
- (2024-09-15) Package deleted from pkgsrc
- (2023-02-13) Package has been reborn
- (2020-09-29) Package has been reborn
- (2020-09-29) Package deleted from pkgsrc
- (2020-01-02) Package has been reborn
CVS history: (Expand)
2014-08-22 23:57:16 by Kamel Derouiche | Files touched by this commit (3) |
Log message:
Update version
|
2014-04-18 23:26:21 by Kamel Derouiche | Files touched by this commit (5) |
Log message:
Import py27-hyperspy-0.7 as wip/py-hyperspy.
HyperSpy is an open source Python library which provides tools to facilitate
the interactive data analysis of multidimensional datasets that can be
described as multidimensional arrays of a given signal (e.g. a 2D array of
spectra a.k.a spectrum image)
Hyperpsy aims at making it easy and natural to apply analytical procedures that
operate on an individual signal to multidimensional arrays, as well as
providing easy access to analytical tools that exploit the multidimensionality
of the dataset.
Its modular structure makes it easy to add features to analyze different kinds
of signals. Currently there are specialized tools to analyze electron
energy-loss spectroscopy (EELS) and energy dispersive X-rays (EDX) data.
|