eelbrain.plot.Regression

class eelbrain.plot.Regression(y, x, cat=None, match=None, sub=None, ds=None, xlabel=True, ylabel=True, alpha=0.2, legend='upper right', labels=None, c=['#009CFF', '#FF7D26', '#54AF3A', '#FE58C6', '#20F2C3'], *args, **kwargs)

Plot the regression of y on x

Parameters:

y : Var

Variable for the y-axis.

x : Var

Variable for the x-axis.

cat : categorial

Plot the regression separately for different categories.

match : None | categorial

Match cases for a repeated measures design.

sub : None | index-array

Use a subset of the data.

ds : None | Dataset

If a Dataset is specified, all data-objects can be specified as names of Dataset variables

ylabel : str

Y-axis label (default is y.name).

alpha : scalar

alpha for individual data points (to control visualization of overlap)

legend : str | int | ‘fig’ | None

Matplotlib figure legend location argument or ‘fig’ to plot the legend in a separate figure.

labels : dict

Alternative labels for legend as {cell: label} dictionary (preserves order).

c : color | sequence of colors

Colors.

tight : bool

Use matplotlib’s tight_layout to expand all axes to fill the figure (default True)

…

Also accepts General layout parameters.

Methods

add_hline(self, y[, axes])	Draw a horizontal line on one or more axes
add_hspan(self, bottom, top[, axes])	Draw a horizontal bar on one or more axes
add_vline(self, x[, axes])	Draw a vertical line on one or more axes
add_vspan(self, xmin, xmax[, axes])	Draw a vertical bar on one or more axes
close(self)	Close the figure.
draw(self)	(Re-)draw the figure (after making manual changes).
draw_crosshairs(self[, enable])	Draw crosshairs under the cursor
image(self[, name, format])	Create FMTXT Image from the figure
plot_legend(self[, loc, labels])	Plot the legend (or remove it from the figure).
save(self, *args, **kwargs)	Short-cut for Matplotlib’s savefig()
save_legend(self, *args, **kwargs)	Save the legend as image file
set_name(self, name)	Set the figure window title
set_xlabel(self, label[, ax])	Set the label for the x-axis
set_xtick_rotation(self, rotation)	Rotate every x-axis tick-label by an angle (counterclockwise, in degrees)
set_ylabel(self, label[, ax])	Set the label for the y-axis