cfdm.H5netcdfArray.__getitem__

H5netcdfArray.__getitem__(index)

Returns a subspace of the data as a new H5netcdfArray.

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

Subspaces created by indexing are lazy and are not applied until the H5netcdfArray object is converted to a numpy array, by which time all lazily-defined subspaces will have been converted to a single combined index which defines only the actual elements that need to be retrieved from the original data.

The combined index is orthogonal, meaning that the index for each dimension is to be applied independently, regardless of how that index was defined. For instance, the indices [[0, 1], [1, 3], 0] and [:2, 1::2, 0] will give identical results.

For example, if the original data has shape (12, 145, 192) and consecutive subspaces of [::2, [1, 3, 4], 96:] and [[0, 5], [True, False, True], 0] are applied, then only the elements defined by the combined index``[[0, 10], [1, 4], 96]`` will be retrieved from the data when __array__ is called.

New in version (cfdm): 1.11.2.0

See also

index, original_shape, __array__, __getitem__

Returns

H5netcdfArray

The subspaced data.