Parameters: |
- evoked : instance of Evoked
The evoked data
- 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
Show figure if True.
- clim : dict | None
clim for plots (after scaling has been applied). e.g.
clim = dict(eeg=[-20, 20])
Valid keys are eeg, mag, grad, misc. If None, the clim parameter
for each channel equals the pyplot default.
- xlim : ‘tight’ | tuple | None
xlim for plots.
- 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.
- 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.
- cmap : matplotlib colormap | (colormap, bool) | ‘interactive’
Colormap. If tuple, the first value indicates the colormap to use and
the second value is a boolean defining interactivity. In interactive
mode the colors are adjustable by clicking and dragging the colorbar
with left and right mouse button. Left mouse button moves the scale up
and down and right mouse button adjusts the range. Hitting space bar
resets the scale. Up and down arrows can be used to change the
colormap. If ‘interactive’, translates to ('RdBu_r', True) .
Defaults to 'RdBu_r' .
- colorbar : bool
If True, plot a colorbar. Defaults to True.
- mask : ndarray | None
An array of booleans of the same shape as the data. Entries of the
data that correspond to `False in the mask are masked (see
do_mask below). Useful for, e.g., masking for statistical
significance.
- mask_style: None | ‘both’ | ‘contour’ | ‘mask’
If mask is not None: if ‘contour’, a contour line is drawn around
the masked areas (True in mask). If ‘mask’, entries not
True in mask are shown transparently. If ‘both’, both a contour
and transparency are used.
If None , defaults to ‘both’ if mask is not None, and is ignored
otherwise.
- mask_cmap : matplotlib colormap | (colormap, bool) | ‘interactive’
The colormap chosen for masked parts of the image (see below), if
mask is not None . If None, cmap is reused. Defaults to
Greys . Not interactive. Otherwise, as cmap.
- mask_alpha : float
A float between 0 and 1. If mask is not None, this sets the
alpha level (degree of transparency) for the masked-out segments.
I.e., if 0, masked-out segments are not visible at all.
Defaults to .25.
- time_unit : str
The units for the time axis, can be “ms” (default in 0.16)
or “s” (will become the default in 0.17).
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