This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
- nilearn.plotting.plot_contrast_matrix(contrast_def, design_matrix, colorbar=False, ax=None, output_file=None)#
Create plot for contrast definition.
numpy.ndarrayof shape (n_col), or
numpy.ndarrayof shape (n_col)
n_colis the number of columns of the design matrix, (one array per run). If only one array is provided when there are several runs, it will be assumed that the same contrast is desired for all runs. The string can be a formula compatible with
pandas.DataFrame.eval. Basically one can use the name of the conditions as they appear in the design matrix of the fitted model combined with operators +- and combined with numbers with operators +-*/.
Design matrix to use.
If True, display a colorbar on the right of the plots. Default=False.
Axis on which to plot the figure. If None, a new figure will be created.
str, or None, optional
The name of an image file to export the plot to. Valid extensions are .png, .pdf, .svg. If output_file is not None, the plot is saved to a file, and the display is closed.