PyTables User's Guide: Hierarchical datasets in Python - Release 1.3.3
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# 4.14. The UnImplemented class

Instances of this class represents an unimplemented dataset in a generic HDF5 file. When reading such a file (i.e. one that has not been created with `PyTables`, but with some other HDF5 library based tool), chances are that the specific combination of datatypes and/or dataspaces in some dataset might not be supported by `PyTables` yet. In such a case, this dataset will be mapped into the `UnImplemented` class and hence, the user will still be able to build the complete object tree of this generic HDF5 file, as well as enabling the access (both read and write) of the attributes of this dataset and some metadata. Of course, the user won't be able to read the actual data on it.

This is an elegant way to allow users to work with generic HDF5 files despite the fact that some of its datasets would not be supported by `PyTables`. However, if you are really interested in having access to an unimplemented dataset, please, get in contact with the developer team.

This class does not have any public instance variables, except those inherited from the `Leaf` class (see 4.5).

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