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Creating and manipulating HDF5 attributes

The Attribute interface, H5A, is primarily designed to easily allow small datasets to be attached to primary datasets as metadata information. Additional goals for the H5A interface include keeping storage requirement for each attribute to a minimum and easily sharing attributes among datasets.

Because attributes are intended to be small objects, large datasets intended as additional information for a primary dataset should be stored as supplemental datasets in a group with the primary dataset. Attributes can then be attached to the group containing everything to indicate a particular type of dataset with supplemental datasets is located in the group. How small is "small" is not defined by the library and is up to the user’s interpretation.

See “HDF5 Attributes” in the HDF5 User’s Guide for more information.

Location and name with attribute functions:

Several attribute functions, such as H5Acreate2, use a location identifier, an object name, and an attribute name, loc_id, obj_name, and attr_name, respectively.   loc_id and obj_name specify the object to which an attribute is attached and carry exactly the same meaning and interaction modes as described for loc_id and name in “Accessing objects by location and name.” attr_name specifies the attribute as it is attached to that object.

The following example specifies an attribute named A3 attached to the dataset dset3.

  • loc_id specifies group3. 
    name = 'dset3'   
    attr_name = 'A3'  

Older H5A functions, such as H5Acreate1, generally use only a location identifier and a name. In these functions, loc_id fully specifies the object to which an attribute is attached; the attribute itself is specified by an attribute name, attr_name.

Again, the following example specifies an attribute named A3 attached to the dataset dset3 above.

  • loc_id specifies dset3. 
    attr_name = 'A3' 

 

 

 

Sample file structure:
DATA_FILE1

--- Last Modified: January 02, 2018 | 01:41 PM