Returns a subspace of the uncompressed data as a numpy array.

x.__getitem__(indices) <==> x[indices]

The indices that define the subspace are relative to the uncompressed data and must be either Ellipsis or a sequence that contains an index for each dimension. In the latter case, each dimension’s index must either be a slice object or a sequence of two or more integers.

Indexing is similar to numpy indexing. The only difference to numpy indexing (given the restrictions on the type of indices allowed) is:

  • When two or more dimension’s indices are sequences of integers then these indices work independently along each dimension (similar to the way vector subscripts work in Fortran).