Paket: python-silx (0.9.0+dfsg-3+deb10u1)

[ Quellcode: silx  ]

Toolbox for X-Ray data analysis - Python2 library

The silx project aims at providing a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. It aims at providing reading/writing different file formats, data reduction routines and a set of Qt widgets to browse and visualize data.

The current version provides :

 * reading HDF5 file format (with support of SPEC file format)
 * histogramming
 * fitting
 * 1D and 2D visualization using multiple backends (matplotlib or OpenGL)
 * image plot widget with a set of associated tools (See changelog file).
 * Unified browser for HDF5, SPEC and image file formats supporting inspection
   and visualization of n-dimensional datasets.
 * Unified viewer (silx view filename) for HDF5, SPEC and image file formats
 * OpenGL-based widget to display 3D scalar field with
   isosurface and cutting plane.

This is the Python 2 version of the package.

Andere Pakete mit Bezug zu python-silx

• dep: libc6 (>= 2.4)

  GNU-C-Bibliothek: Laufzeitbibliotheken
  auch ein virtuelles Paket, bereitgestellt durch libc6-udeb

• dep: libgcc1 (>= 1:3.5)

  GCC Support-Bibliothek

• dep: libgomp1 (>= 4.9)

  Unterstützungsbibliothek für GCC OpenMP (GOMP)

• dep: libstdc++6 (>= 5.2)

  GNU-Implementierung der Standard-C++-Bibliothek (Version 3)

• dep: python

  Interaktive objektorientierte Hochsprache (Python2-Version)

  dep: python (<< 2.8)

  dep: python (>= 2.7~)

• dep: python-fabio

  I/O library for images produced by 2D X-ray detector - Python2

• dep: python-h5py

  general-purpose Python interface to hdf5 (Python 2)

• dep: python-numpy (>= 1:1.16.0~rc1)

  Numerical Python fügt der Sprache Python eine schnelle Array-Einrichtung hinzu

• dep: python-numpy-abi9

  virtuelles Paket, bereitgestellt durch python-numpy

• dep: python-pkg-resources

  Paketermittlung und Ressourcenzugriff mittels pkg_resources

• dep: python-scipy

  wissenschaftliche Werkzeuge für Python

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