HDF5 is a data file format specification with some opensource libraries. Matlab version 7.3 and above are supposed to store data in this format. You can load these files into Python using the h5py library.
IMPORTANT:
Following instructions from http://www.hdfgroup.org/ftp/HDF5/current/src/unpacked/release_docs/INSTALL
IMPORTANT:
- Due to an incompatibility with HDF5 1.8.5 h5py tests (and operation) will fail. Using 1.8.4 or earlier should resolve the issue. (issue 124)
- When installing h5py change to super user account (su) rather than sudo because you need some environment variables to be set during the installation
Following instructions from http://www.hdfgroup.org/ftp/HDF5/current/src/unpacked/release_docs/INSTALL
- grab the bz2 file
- ftp://ftp.hdfgroup.org/HDF5/prev-releases/hdf5-1.8.4-patch1/src/hdf5-1.8.4-patch1.tar.bz2
- bunzip2 hdf5-1.8.4-patch1.tar.bz2
- tar -xvf hdf5-1.8.4-patch1
- cd hdf5-1.8.4-patch1
- ./configure --prefix=/usr/local/hdf5
- make
- make check
- sudo make install
- make check-install
- su
- export HDF5_DIR=/usr/local/hdf5/
- export HDF5_API=18
- easy_install h5py
- Download, compile and install the correct version of HDF (as above)
- Get rid of the h5py egg compiled against this by doing:
sudo easy_install -m h5py to get rid of paths etc.
rm -r /Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/h5py-1.3.0-py2.6-macosx-10.3-fat.egg (or where ever your egg is, to get rid of the compiled version) - reinstall
- run tests to be sure
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