# The math/py-h5py,python3 port

## py3-h5py-3.2.1 – pythonic interface to the HDF5 binary data format

## Description

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

    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/

Only for arches
  aarch64 aarch64 alpha amd64 amd64 arm arm hppa i386 i386 mips64 mips64 mips64el mips64el powerpc powerpc powerpc64 powerpc64 sparc64
Categories:
  lang/python math

## Library dependencies

- math/hdf5

## Build dependencies

- STEM->=39.0.1v0:devel/py-setuptools,python3
- devel/py-pkgconfig,python3
- lang/cython,python3
- lang/python/3.8
- math/py-numpy,python3

## Run dependencies

- STEM->=39.0.1v0:devel/py-setuptools,python3
- lang/python/3.8