xcp_d.utils.plotting

Plotting tools.

Functions

plot_alff_reho_surface(output_path, ...)	Plot ReHo and ALFF for ciftis on surface.
plot_alff_reho_volumetric(output_path, ...)	Plot ReHo and ALFF mosaics for niftis.
plot_carpet(func[, atlaslabels, detrend, ...])	Plot an image representation of voxel intensities across time.
plot_confounds(time_series, grid_spec_ts[, ...])	Create a time series plot for confounds.
plot_design_matrix(design_matrix[, ...])	Plot design matrix TSV with Nilearn.
plot_dvars_es(time_series, ax[, run_index])	Create DVARS plot for the executive summary.
plot_fmri_es(preprocessed_bold, ...[, mask, ...])	Generate carpet plot with DVARS, FD, and WB for the executive summary.
plot_framewise_displacement_es(time_series, ...)	Create framewise displacement plot for the executive summary.
plot_global_signal_es(time_series, ax[, ...])	Create global signal plot for the executive summary.
surf_data_from_cifti(data, axis, surf_name)	From https://neurostars.org/t/separate-cifti-by-structure-in-python/17301/2.

Classes

FMRIPlot(func_file[, mask_file, data, ...])

Generates the fMRI Summary Plot.