xcp_d.interfaces.workbench.CiftiSeparateMetric

class xcp_d.interfaces.workbench.CiftiSeparateMetric(command=None, terminal_output=None, write_cmdline=False, **inputs)[source]

Wrapped executable: wb_command  -cifti-separate.

Extract left or right hemisphere surfaces from CIFTI file (.dtseries).

Other structures can also be extracted. The input cifti file must have a brain models mapping on the chosen dimension, columns for .dtseries,

Examples

>>> ciftiseparate = CiftiSeparateMetric()
>>> ciftiseparate.inputs.in_file = 'sub-01XX_task-rest.dtseries.nii'
>>> ciftiseparate.inputs.metric = "CORTEX_LEFT" # extract left hemisphere
>>> ciftiseparate.inputs.out_file = 'sub_01XX_task-rest_hemi-L.func.gii'
>>> ciftiseparate.inputs.direction = 'COLUMN'
>>> ciftiseparate.cmdline
wb_command  -cifti-separate 'sub-01XX_task-rest.dtseries.nii'  COLUMN       -metric CORTEX_LEFT 'sub_01XX_task-rest_hemi-L.func.gii'
Mandatory Inputs:
  • direction (‘ROW’ or ‘COLUMN’) – Which dimension to smooth along, ROW or COLUMN. Maps to a command-line argument: %s (position: 1).

  • in_file (a pathlike object or string representing an existing file) – The input dense series. Maps to a command-line argument: %s (position: 0).

  • metric (a string) – Which of the structure eg CORTEX_LEFT CORTEX_RIGHTcheck https://www.humanconnectome.org/software/workbench-command/-cifti-separate . Maps to a command-line argument: -metric %s (position: 2).

Optional Inputs:
  • args (a string) – Additional parameters to the command. Maps to a command-line argument: %s.

  • environ (a dictionary with keys which are a bytes or None or a value of class ‘str’ and with values which are a bytes or None or a value of class ‘str’) – Environment variables. (Nipype default value: {})

  • out_file (a pathlike object or string representing a file) – The gifti output, either left and right. Maps to a command-line argument: %s (position: 3).

Outputs:

out_file (a pathlike object or string representing an existing file) – Output CIFTI file.

__init__(command=None, terminal_output=None, write_cmdline=False, **inputs)[source]

Subclasses must implement __init__

Methods

__init__([command, terminal_output, ...])

Subclasses must implement __init__

aggregate_outputs([runtime, needed_outputs])

Collate expected outputs and apply output traits validation.

help([returnhelp])

Prints class help

load_inputs_from_json(json_file[, overwrite])

A convenient way to load pre-set inputs from a JSON file.

raise_exception(runtime)

run([cwd, ignore_exception])

Execute this interface.

save_inputs_to_json(json_file)

A convenient way to save current inputs to a JSON file.

set_default_terminal_output(output_type)

Set the default terminal output for CommandLine Interfaces.

version_from_command([flag, cmd])

Attributes

always_run

Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.

can_resume

Defines if the interface can reuse partial results after interruption.

cmd

sets base command, immutable

cmdline

command plus any arguments (args) validates arguments and generates command line

resource_monitor

terminal_output

version

interfaces should implement a version property

write_cmdline