evoked : instance of Evoked
picks : array-like of int | None
The indices of channels to plot. If None show all.
exclude : list of str | ‘bads’
Channels names to exclude from being shown. If ‘bads’, the
bad channels are excluded.
unit : bool
Scale plot with channel (SI) unit.
show : bool
ylim : dict | None
ylim for plots (after scaling has been applied). e.g.
ylim = dict(eeg=[-20, 20])
Valid keys are eeg, mag, grad, misc. If None, the ylim parameter
for each channel equals the pyplot default.
xlim : ‘tight’ | tuple | None
proj : bool | ‘interactive’
If true SSP projections are applied before display. If ‘interactive’,
a check box for reversible selection of SSP projection vectors will
be shown.
hline : list of floats | None
The values at which to show an horizontal line.
units : dict | None
The units of the channel types used for axes lables. If None,
defaults to dict(eeg=’uV’, grad=’fT/cm’, mag=’fT’).
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).
titles : dict | None
The titles associated with the channels. If None, defaults to
dict(eeg=’EEG’, grad=’Gradiometers’, mag=’Magnetometers’).
axes : instance of Axis | list | None
The axes to plot to. If list, the list must be a list of Axes of
the same length as the number of channel types. If instance of
Axes, there must be only one channel type plotted.
gfp : bool | ‘only’
Plot GFP in green if True or “only”. If “only”, then the individual
channel traces will not be shown.
window_title : str | None
The title to put at the top of the figure.
spatial_colors : bool
If True, the lines are color coded by mapping physical sensor
coordinates into color values. Spatially similar channels will have
similar colors. Bad channels will be dotted. If False, the good
channels are plotted black and bad channels red. Defaults to False.
zorder : str | callable
Which channels to put in the front or back. Only matters if
spatial_colors is used.
If str, must be std or unsorted (defaults to unsorted). If
std, data with the lowest standard deviation (weakest effects) will
be put in front so that they are not obscured by those with stronger
effects. If unsorted, channels are z-sorted as in the evoked
instance.
If callable, must take one argument: a numpy array of the same
dimensionality as the evoked raw data; and return a list of
unique integers corresponding to the number of channels.
selectable : bool
Whether to use interactive features. If True (default), it is possible
to paint an area to draw topomaps. When False, the interactive features
are disabled. Disabling interactive features reduces memory consumption
and is useful when using axes parameter to draw multiaxes figures.
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