Attributes — h5py 3.5.0 documentation
docs.h5py.org › en › stableEach Group or Dataset has a small proxy object attached to it, at <obj>.attrs. Attributes have the following properties: They may be created from any scalar or NumPy array; Each attribute should be small (generally < 64k) There is no partial I/O (i.e. slicing); the entire attribute must be read.
Strings in HDF5 — h5py 3.5.0 documentation
docs.h5py.org › en › stableWhen writing data to an existing dataset or attribute, data passed as bytes is written without checking the encoding. Data passed as Python str objects is encoded as either ASCII or UTF-8, based on the HDF5 datatype. In either case, null bytes ( '\x00') in the data will cause an error. Warning
Attributes — h5py 3.5.0 documentation
https://docs.h5py.org/en/stable/high/attr.htmlAttributes. Attributes are a critical part of what makes HDF5 a “self-describing” format. They are small named pieces of data attached directly to Group and Dataset objects. This is the official way to store metadata in HDF5. Each Group or Dataset has a small proxy object attached to it, at <obj>.attrs. Attributes have the following properties: