What’s new ?

What’s new in h5features 1.1

The main goal of the 1.1 release is to provide a better, safer and clearer code than previous release whithout changing the front-end API.

• Object oriented refactoring

  An object oriented architecture have been coded. The main entry classes are Data, Reader and Writer.

• Distinct overwrite/append mode

  Appending to an existing file is now optional. This allow minor optimzations but that make sense when data is big.

• Change in the HDF5 file structure

  With group as the h5features root in a HDF5 file, the structure evolved from group/[files, times, features, file_index] to group/[items, labels, features, index]. These changes are done for clarity and consistency with code and usage.

• Change in times/labels

  You can now write 2D labels to h5features.

• Test suite

  The project is now endowed with a pytest suite of more than 50 unit tests.

• Improved documentation

  This is what you are reading now!

What’s new in h5features 1.0

Over the previous development release (0.1), the 1.0 release changes the underlying HDF5 file structure, add a version attribute and improve the index facilities.

TODO list

These document the scheduled and/or requested changes to the h5features package.

For 1.1 release

• Test convertion from h5features old versions
• read/write bigger than RAM -> catch MemoryError when np.concatenate on writing.
• Data.__repr__

For a future release

• labels can be of arbitrary type
• Have a h5features.File class inspired by h5py.File
• Implement sparse functionalities
• Handle h5py MPI driver for concurent reading
• Enable autochunking from h5py (with chunk=None)