What’s new in h5py 3.2

New features

  • Added support to use the HDF5 ROS3 driver to access HDF5 files on S3 (PR 1755). This is not enabled in the pre-built packages on PyPI. To use it, ensure HDF5 is built with read-only S3 support enabled, and then build h5py from source using that HDF5 library.

Breaking changes & deprecations

  • Python 3.7 is now the minimum supported version. It may still be possible to use this release with Python 3.6, but it isn’t tested and wheels are not provided for Python 3.6.
  • Setting the config option default_file_mode to values other than 'r' is deprecated. Pass the desired mode when opening a File instead.

Exposing HDF5 functions

  • H5Pset_fapl_ros3 & H5Pget_fapl_ros3 (where HDF5 is built with read-only S3 support).

Bug fixes

  • OSError exceptions raised by h5py should now have a useful .errno attribute, where HDF5 provides this information. Subclasses such as FileNotFoundError should also be raised where appropriate (PR 1815).
  • Fix reading data with a datatype of variable-length arrays of fixed length strings (GH1817).
  • Fix Dataset.read_direct() and Dataset.write_direct() when the source and destination have different shapes (PR 1796).
  • Fix selecting data using integer indices in Dataset.read_direct() and Dataset.write_direct() (PR 1818).
  • Fix exception handling in Group.visititems() (GH1740).
  • Issue a warning when File(..., swmr=True) is specified with any mode other than 'r', as the SWMR option is ignored in these cases (PR 1812).
  • Fix NumPy 1.20 deprecation warnings concerning the use of None as shape, and the deprecated aliases np.float, np.int and np.bool (PR 1780).

3.2.1 bug fix release