Note
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_design_matrix#
- nilearn.plotting.plot_design_matrix(design_matrix, rescale=True, ax=None, output_file=None)[source]#
Plot a design matrix provided as a
pandas.DataFrame
.- Parameters
- design matrix
pandas.DataFrame
Describes a design matrix.
- rescale
bool
, optional Rescale columns magnitude for visualization or not. Default=True.
- ax
matplotlib.axes.Axes
, optional Handle to axes onto which we will draw the design matrix.
- output_file
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.
- design matrix
- Returns
- ax
matplotlib.axes.Axes
The axes used for plotting.
- ax
Examples using nilearn.plotting.plot_design_matrix
#
Understanding parameters of the first-level model
Understanding parameters of the first-level model