Paketti: python-h5py (2.8.0-3)

[ Source: h5py  ]

general-purpose Python interface to hdf5 (Python 2)

HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data.

From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax.

H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.

This package provides the modules for Python 2.

Muut pakettiin python-h5py liittyvät paketit

• dep: libc6 (>= 2.4)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: libhdf5-103

  Hierarchical Data Format 5 (HDF5) - runtime files - serial version

• dep: python

  interactive high-level object-oriented language (Python2 version)

  dep: python (<< 2.8)

  dep: python (>= 2.7~)

• dep: python-numpy (>= 1:1.14.3)

  Numerical Python adds a fast array facility to the Python language

• dep: python-numpy-abi9

  näennäispaketti, jonka toteuttaa python-numpy

• dep: python-six

  Python 2 and 3 compatibility library (Python 2 interface)

• sug: python-h5py-doc

  documentation for h5py

Imuroi python-h5py

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
armhf	596.7 kt	2,146.0 kt	[tiedostoluettelo]