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the h5py package is a Pythonic interface to the HDF5 binary data format. input bket@ and sthen@ OK bket@
22 lines
1006 B
Plaintext
22 lines
1006 B
Plaintext
The h5py package is a Pythonic interface to the HDF5 binary data
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format.
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It lets you store huge amounts of numerical data, and easily
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manipulate that data from NumPy. For example, you can slice into
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multi-terabyte datasets stored on disk, as if they were real NumPy
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arrays. Thousands of datasets can be stored in a single file,
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categorized and tagged however you want.
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H5py uses straightforward NumPy and Python metaphors, like dictionary
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and NumPy array syntax. For example, you can iterate over datasets
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in a file, or check out the .shape or .dtype attributes of datasets.
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You don't need to know anything special about HDF5 to get started.
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In addition to the easy-to-use high level interface, h5py rests on
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a object-oriented Cython wrapping of the HDF5 C API. Almost anything
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you can do from C in HDF5, you can do from h5py.
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Best of all, the files you create are in a widely-used standard
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binary format, which you can exchange with other people, including
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those who use programs like IDL and MATLAB.
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