epochs : instance of Epochs
layout: instance of Layout
System specific sensor positions.
sigma : float
The standard deviation of the Gaussian smoothing to apply along
the epoch axis to apply in the image. If 0., no smoothing is applied.
vmin : float
The min value in the image. The unit is uV for EEG channels,
fT for magnetometers and fT/cm for gradiometers.
vmax : float
The max value in the image. The unit is uV for EEG channels,
fT for magnetometers and fT/cm for gradiometers.
colorbar : bool
Display or not a colorbar.
order : None | array of int | callable
If not None, order is used to reorder the epochs on the y-axis
of the image. If it’s an array of int it should be of length
the number of good epochs. If it’s a callable the arguments
passed are the times vector and the data as 2d array
(data.shape[1] == len(times)).
cmap : instance of matplotlib.pyplot.colormap
Colors to be mapped to the values.
layout_scale: float
scaling factor for adjusting the relative size of the layout
on the canvas.
title : str
scalings : dict | None
The scalings of the channel types to be applied for plotting. If
None, defaults to dict(eeg=1e6, grad=1e13, mag=1e15).
border : str
matplotlib borders style to be used for each sensor plot.
fig_facecolor : str | obj
The figure face color. Defaults to black.
fig_background : None | array
A background image for the figure. This must be a valid input to
matplotlib.pyplot.imshow. Defaults to None.
font_color : str | obj
The color of tick labels in the colorbar. Defaults to white.
show : bool
|
