The math/py-h5py,python3 port

py3-h5py-3.10.0 – pythonic interface to the HDF5 binary data format (cvsweb github mirror)


The h5py package is a Pythonic interface to the HDF5 binary data

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.
WWW: https://www.h5py.org/


Martin Reindl

Only for arches

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lang/python math

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