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=None, labels=None, c=('#009CFF', '#FF7D26', '#54AF3A', '#FE58C6', '#20F2C3'), **kwargs)

Plot the regression of y on x

Parameters
  • y (Union[Var, str]) – Variable for the y-axis.

  • x (Union[Var, str]) – Variable for the x-axis.

  • cat (Union[Factor, Interaction, NestedEffect, str, None]) – Plot the regression separately for different categories.

  • match (Union[Factor, Interaction, NestedEffect, str, None]) – Match cases for a repeated measures design.

  • sub (Union[Var, ndarray, str, None]) – Use a subset of the data.

  • ds (Optional[Dataset]) – If a Dataset is specified, all data-objects can be specified as names of Dataset variables

  • xlabel (Union[bool, str]) – X-axis label. By default the label is inferred from the data.

  • ylabel (Union[bool, str]) – Y-axis label. By default the label is inferred from the data.

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

  • legend (Union[str, int, Tuple[float, float], bool, None]) – Matplotlib figure legend location argument or ‘fig’ to plot the legend in a separate figure.

  • labels (Optional[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(y[, axes])

Draw a horizontal line on one or more axes

add_hspan(bottom, top[, axes])

Draw a horizontal bar on one or more axes

add_vline(x[, axes])

Draw a vertical line on one or more axes

add_vspan(xmin, xmax[, axes])

Draw a vertical bar on one or more axes

close()

Close the figure.

draw()

(Re-)draw the figure (after making manual changes).

draw_crosshairs([enable])

Draw crosshairs under the cursor

draw_outline([color])

Draw the outline of the figure

image([name, format, close])

Create FMTXT Image from the figure

plot_legend([loc, labels])

Plot the legend (or remove it from the figure).

save(*args, **kwargs)

Short-cut for Matplotlib's savefig()

save_legend(*args, **kwargs)

Save the legend as image file

set_name(name)

Set the figure window title

set_xlabel(label[, ax])

Set the label for the x-axis

set_xtick_rotation(rotation)

Rotate every x-axis tick-label by an angle (counterclockwise, in degrees)

set_ylabel(label[, ax])

Set the label for the y-axis