run

Import in python using from mcot.core._scripts.to_dataframe_tree import run

mcot.core._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