- python3 (<< 3.10)
- python3 (>= 3.9~)
- python3-numpy (>= 1:1.16.0~rc1)
- python3-numpy-abi9
- python3-six
- python3:any
- libc6 (>= 2.17)
- libhdf5-103-1
- libhdf5-hl-100
- liblzf1 (>= 1.5)
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 3, built for serial
(single processor) jobs.
Installed Size: 3.0 MB
Architectures: amd64 arm64