Return a subspace of the field defined by indices.

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

The new subspace contains the same properties and similar metadata constructs to the original field, but the latter are also subspaced when they span domain axis constructs that have been changed.

Indexing follows rules that are very similar to the numpy indexing rules, the only differences being:

  • An integer index i takes the i-th element but does not reduce the rank by one.

  • When two or more dimensions’ indices are sequences of integers then these indices work independently along each dimension (similar to the way vector subscripts work in Fortran). This is the same behaviour as indexing on a Variable object of the netCDF4 package.

New in version (cfdm): 1.7.0


The subspace of the field construct.


(1, 10, 9)
>>> f[:, :, 1].data.shape
(1, 10, 1)
>>> f[:, 0].data.shape
(1, 1, 9)
>>> f[..., 6:3:-1, 3:6].data.shape
(1, 3, 3)
>>> f[0, [2, 9], [4, 8]].data.shape
(1, 2, 2)
>>> f[0, :, -2].data.shape
(1, 10, 1)