eelbrain.plot.Scatter

class eelbrain.plot.Scatter(y, x, color=None, size=None, sub=None, data=None, colors=None, vmin=None, vmax=None, markers=None, legend=None, labels=None, alpha=1.0, xlabel=True, ylabel=True, aspect='auto', **kwargs)

Scatter-plot

Parameters

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

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

  • color (Union[Factor, Interaction, NestedEffect, str, Var]) – Plot the correlation separately for different categories.

  • size (Union[Var, str, float]) – Size of the markers.

  • 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

  • colors (Union[dict, str]) – If color is continuous, a colormap to assign color to values. If color is discrete, a dictionary of colors for values in color.

  • vmin (str) – Lower bound of the colormap.

  • vmax (str) – Upper bound of the colormap.

  • markers (str) – Marker shape (see matplotlib.markers).

  • 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).

  • xlabel (Union[bool, str]) – Labels for x-axis; the default is determined from the data.

  • ylabel (Union[bool, str]) – Labels for y-axis; the default is determined from the data.

  • aspect (Union[float, Literal['auto', 'equal']]) – Matplotlib parameter (see set_aspect()).

  • ... – Also accepts General layout parameters.

  • alpha (float) –

Methods

add_diagonal(**kwargs)

Add a diagonal to the plot.

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_colorbar([label, label_position, ...])

Plot a colorbar corresponding to the displayed data

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