cfdm.RaggedIndexedArray.__getitem__¶

RaggedIndexedArray.
__getitem__
(indices)[source]¶ Returns a subspace of the uncompressed data in 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 aslice
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).
New in version (cfdm): 1.7.0