Announcing HDF5 for Python (h5py) 2.1.3
HDF5 for Python 2.1.3 is now available! This is a bugfix release, and is
planned to be the last release in the 2.1 series. Version 2.2.0 is expected in
approximately six weeks.
Our new home
Starting with h5py 2.1.1, development moved over to GitHub:
We welcome bug reports and pull requests from anyone interested in contributing.
Releases will now be made every 4-6 weeks, in order to get bugfixes and new
features out to users quickly while still leaving time for testing.
* New main website: http://www.h5py.org
* Mailing list: http://groups.google.com/group/h5py
What is h5py?
The h5py package is a Pythonic interface to the HDF5 binary data format.
It lets you store huge amounts of numerical data, and easily manipulate that
data from NumPy. For example, you can slice into multi-terabyte datasets
stored on disk, as if they were real NumPy arrays. Thousands of datasets can
be stored in a single file, categorized and tagged however you want.
H5py uses straightforward NumPy and Python metaphors, like dictionary and
NumPy array syntax. For example, you can iterate over datasets in a file, or
check out the .shape or .dtype attributes of datasets. You don't need to know
anything special about HDF5 to get started.
In addition to the easy-to-use high level interface, h5py rests on a
object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do
from C in HDF5, you can do from h5py.
Best of all, the files you create are in a widely-used standard binary format,
which you can exchange with other people, including those who use programs
like IDL and MATLAB.
What's new in 2.1.3?
This is a bugfix release. The most substantial changes were:
* Reading an empty (HS_NULL) attribute or dataset incorrectly returned an
uninitialized scalar. Attempting to read an empty attribute or dataset
now raises IOError. We plan to add proper support in a later version.
* Certain tests would fail on platforms set to the C locale (LC_ALL=C).
Tests for non-ASCII filenames are now skipped on those platforms.
* Fixed broken file driver tests on Windows
* The file api_functions.txt, required for regenerating the Cython glue files,
is now included in the tarball distribution.
* Documentation updates regarding how to build h5py against an MPI-aware
build of HDF5.