Hierarchical Data Format: Difference between revisions

Revision as of 18:58, 6 March 2022

Revision as of 19:00, 6 March 2022

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[[Image:HDF-Structure-Example.gif|thumb|right|HDF Structure Example]]

*Datasets, which are typed multidimensional arrays

*Groups, which are container structures whichthat can hold datasets and other groups

This results in a truly hierarchical, filesystem-like data format.{{clarify|date=November 2018}}{{citation needed|date=November 2018}} In fact, resources in an HDF5 file can be accessed using the [[POSIX]]-like syntax ''/path/to/resource''. Metadata is stored in the form of user-defined, named attributes attached to groups and datasets. More complex storage APIs representing images and tables can then be built up using datasets, groups and attributes.