Paketname | python-h5py |
Beschreibung | h5py is a general-purpose Python interface to hdf5 |
Archiv/Repository | Offizielles Debian Archiv squeeze (main) |
Version | 1.3.0-3 |
Sektion | python |
Priorität | optional |
Installierte Größe | 2664 Byte |
Hängt ab von | libc6 (>= 2.3.6-6~), libhdf5-serial-1.8.4 | libhdf5-1.8.4, python (<< 2.7), python (>= 2.5), python- |
Empfohlene Pakete | |
Paketbetreuer | Soeren Sonnenburg |
Quelle | h5py |
Paketgröße | 781560 Byte |
Prüfsumme MD5 | ac0a5c6f32c7d39e1bad186955ebed98 |
Prüfsumme SHA1 | 7e3c922c1f1cb9c5c3746c77efd35747bf539084 |
Prüfsumme SHA256 | 5b7388dace6ca7eb33330e1758d39e98bbed596f098fa6bcb933f61b2051e906 |
Link zum Herunterladen | python-h5py_1.3.0-3_i386.deb |
Ausführliche Beschreibung | 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.
|