mvpa2.support.nibabel.afni_niml_dset.sparse2full

mvpa2.support.nibabel.afni_niml_dset.sparse2full(dset, pad_to_ico_ld=None, pad_to_node=None, ico_ld_surface_count=1, set_missing_values=0)

Creates a ‘full’ dataset which has values associated with all nodes

Parameters:

dset: dict :

afni_niml_dset-like dictionary with at least a field ‘data’

pad_to_node_ico_ld: int :

number of linear divisions (only applicable if used through AFNI’s MapIcosehedron) of the surface this dataset refers to.

pad_to_node: int :

number of nodes of the surface this data

ico_ld_surface_count: int (default: 1) :

if pad_to_ico_ld is set, this sets the number of surfaces that were origingally used. The typical use case is using a ‘merged’ surface originally based on a left and right hemisphere

set_missing_values: int or float (default: 0) :

value to which nodes not present in dset are set.

Returns:

dset: dict :

afni_niml_dset-like dictionary with at least fields ‘data’ and ‘node_indices’.