Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.surface.load_surf_data#
- nilearn.surface.load_surf_data(surf_data)[source]#
Loading data to be represented on a surface mesh.
- Parameters
- surf_datastr or numpy.ndarray
Either a file containing surface data (valid format are .gii, .gii.gz, .mgz, .nii, .nii.gz, or Freesurfer specific files such as .thickness, .curv, .sulc, .annot, .label), lists of 1D data files are returned as 2D arrays, or a Numpy array containing surface data.
- Returns
- datanumpy.ndarray
An array containing surface data
