![]() ![]() The h5py user manual is a great place to start you may also want to check out the FAQ. Request, please ping the mailing list at Google Groups. Stable DownloadsĪll downloads are now available at the Python Package Index (PyPI).Īll development for h5py takes place on GitHub. Almost anything you can do from C in HDF5, you can doīest 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. In addition to the easy-to-use high level interface, h5py rests on a object-orientedĬython wrapping of the HDF5 C API. You don't need to know anything special about HDF5 to get started. For example, you can iterate over datasets in a file, or check out the. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. Thousands of datasets can be stored in a single file, categorized and tagged however you want. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. The h5py package is a Pythonic interface to the HDF5 binary data format. ![]()
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