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Package: python-h5py (2.7.1-2)

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.

Other Packages Related to python-h5py

  • depends
  • recommends
  • suggests
  • dep: libc6 (>= 2.14)
    GNU C Library: Shared libraries
    also a virtual package provided by libc6-udeb
  • dep: libhdf5-100
    Hierarchical Data Format 5 (HDF5) - runtime files - serial version
  • dep: python
    interactive high-level object-oriented language (default version)
    dep: python (<< 2.8)
    dep: python (>= 2.7~)
  • dep: python-numpy (>= 1:1.10.0~b1)
    Numerical Python adds a fast array facility to the Python language
  • dep: python-numpy-abi9
    virtual package provided by python-numpy
  • dep: python-six
    Python 2 and 3 compatibility library (Python 2 interface)

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