# eelbrain.plot.Regression

class eelbrain.plot.Regression(y, x, cat=None, match=None, sub=None, data=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]) – Plot the regression separately for different categories.

• match (Union[Factor, Interaction, NestedEffect, str]) – Match cases for a repeated measures design.

• sub (Union[Var, ndarray, str]) – Use a subset of the data.

• data (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 (Optional[Union[str, int, Tuple[float, float], bool]]) – 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`(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 the figure. (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