eelbrain.plot.UTS

class eelbrain.plot.UTS(y, xax=None, axtitle=True, ds=None, sub=None, xlabel=True, ylabel=True, xticklabels='bottom', bottom=None, top=None, legend='upper right', labels=None, xlim=None, colors=None, *args, **kwargs)

Value by time plot for UTS data

Parameters:

y : (list of) NDVar

Uts data to plot.

xax : None | categorial

Make separate axes for each category in this categorial model.

axtitle : bool | sequence of str

Title for the individual axes. The default is to show the names of the epochs, but only if multiple axes are plotted.

ds : None | Dataset

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

sub : str | array

Specify a subset of the data.

xlabel, ylabel : str | None

X- and y axis labels. By default the labels will be inferred from the data.

xticklabels : bool | int | list of int

Specify which axes should be annotated with x-axis tick labels. Use int for a single axis (default -1), a sequence of int for multiple specific axes, or bool for all/none.

bottom, top : scalar

Y-axis limits.

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).

xlim : scalar | (scalar, scalar)

Initial x-axis view limits as (left, right) tuple or as length scalar (default is the full x-axis in the data).

tight : bool

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

…

Also accepts General layout parameters.

Notes

Navigation:

• ↑: scroll up
• ↓: scroll down
• ←: scroll left
• →: scroll right
• home: scroll to beginning
• end: scroll to end
• f: x-axis zoom in (reduce x axis range)
• d: x-axis zoom out (increase x axis range)
• r: y-axis zoom in (reduce y-axis range)
• c: y-axis zoom out (increase y-axis range)

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
add_vspans(self, intervals[, axes])	Draw vertical bars over 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
get_time(self)	Retrieve the current time
get_xlim(self)
get_ylim(self)
image(self[, name, format])	Create FMTXT Image from the figure
link_time_axis(self, other)	Link the time axis of this figure with another figure
play_movie(self[, time_dilation])	Cycle through the time axis
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
save_movie(self[, filename, time_dilation])	Save the figure with moving time axis as movie
set_name(self, name)	Set the figure window title
set_time(self, time)	Set the time point to display
set_xlabel(self, label[, ax])	Set the label for the x-axis
set_xlim(self[, left, right])	Set the x-axis limits for all axes
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
set_ylim(self[, bottom, top])	Set the y-axis limits