high5py is a high-level interface to h5py, which is itself a high-level interface to the HDF5 library.
You can use high5py to make one-line calls for the most common HDF5 tasks, like saving and loading data.
For example:
import numpy as np
import high5py as hi5
hi5.save_dataset('data.h5', np.random.rand(100), name='x')
x = hi5.load_dataset('data.h5', name='x')
The easiest way to install high5py is using pip (and PyPI):
pip install high5py
To install from source, download the source code from Github:
# Using SSH
git clone git://github.com:jhtu/high5py.git
# Using HTTPS
git clone https://github.com/jhtu/high5py.git
Next, navigate to the high5py root directory (the one containing setup.py). Then run
pip install .
To be sure the code is working, run the unit tests:
python -c 'import high5py as hi5; hi5.run_all_tests()'
A tutorial notebook is available in the source code at examples/tutorial.ipynb.
The full documentation is available at ReadTheDocs.
You can also build it manually with Sphinx.
To do so, navigate to the high5py root directory (the one containing setup.py).
Then run
sphinx-build docs docs/_build
You can then open docs/_build/index.html in a web browser.
high5py is published under the BSD 3-clause license.
The license file is available here.