Attributes — h5py 3.5.0 documentation
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:
Datasets — h5py 3.5.0 documentation
docs.h5py.org › en › stableHDF5 has the concept of Empty or Null datasets and attributes. These are not the same as an array with a shape of (), or a scalar dataspace in HDF5 terms. Instead, it is a dataset with an associated type, no data, and no shape. In h5py, we represent this as either a dataset with shape None, or an instance of h5py.Empty. Empty datasets and ...
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.