python-h5py-doc – h5py documentation

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 documentation for h5py.

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 7.0 (wheezy) 2.0.1-2    
Debian GNU/Linux 8.0 (jessie) 2.2.1-1.1 2.6.0-2+nd1~nd80+1 i386, amd64, sparc, armel
Debian GNU/Linux 9.0 (stretch) 2.7.0-1    
Debian testing (buster) 2.7.1-2    
Debian unstable (sid) 2.7.1-2    
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 2.0.1-1build1    
Ubuntu 14.04 “Trusty Tahr” (trusty) 2.2.1-1build2    
Ubuntu 16.04 “Xenial Xerus” (xenial) 2.6.0-1    
Ubuntu 16.10 “Yakkety Yak” (yakkety) 2.6.0-1    
Ubuntu 17.04 “Zesty Zapus” (zesty) 2.7.0-1ubuntu1    
Ubuntu 17.10 “Artful Aardvark” (artful) 2.7.1-2    

Comments

blog comments powered by Disqus