run

Import in python using from mcutils.scripts.to_dataframe_tree import run

mcutils.scripts.to_dataframe_tree.run(tree: fsl.utils.filetree.filetree.FileTree, names: Sequence[str], vol_mask: str = None, surf_mask: str = None, join='inner', ignore_vars='basename', 'name') → pandas.core.frame.DataFrame[source]

Extracts the information from the files matching the named templates into a dataframe

Parameters

  • tree – set of input files

  • names – names matching templates in the tree

  • vol_mask – volumetric NIFTI mask

  • surf_mask – surface GIFTI mask

  • join – How to join the dataframes from the different templates (use ‘outer’ to keep all data)

  • ignore_vars – which variables to ignore

Returns

pandas dataframe with all the information of the NIFTI/GIFTI/CIFTI files