tedana.reporting.static_figures.comp_figures

comp_figures(ts, mask, component_table, mixing, io_generator, png_cmap)[source]

Create static figures that highlight certain aspects of tedana processing.

This includes a figure for each component showing the component time course, the spatial weight map and a fast Fourier transform of the time course.

Parameters:

  • ts ((S x T) array_like) – Time series from which to derive ICA betas

  • mask ((S,) array_like) – Boolean mask array

  • component_table ((C x M) pandas.DataFrame) – Component metric table. One row for each component, with a column for each metric. The index should be the component number.

  • mixing ((C x T) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in data

  • io_generator (tedana.io.OutputGenerator) – Output Generator object to use for this workflow