Parameters: |
- raw : instance of Raw
The raw data to plot.
- events : array | None
Events to show with vertical bars.
- duration : float
Time window (s) to plot. The lesser of this value and the duration
of the raw file will be used.
- start : float
Initial time to show (can be changed dynamically once plotted). If
show_first_samp is True, then it is taken relative to
raw.first_samp .
- n_channels : int
Number of channels to plot at once. Defaults to 20. Has no effect if
order is ‘position’, ‘selection’ or ‘butterfly’.
- bgcolor : color object
Color of the background.
- color : dict | color object | None
Color for the data traces. If None, defaults to:
dict(mag='darkblue', grad='b', eeg='k', eog='k', ecg='m',
emg='k', ref_meg='steelblue', misc='k', stim='k',
resp='k', chpi='k')
- bad_color : color object
Color to make bad channels.
- event_color : color object | dict
Color to use for events. Can also be a dict with
{event_number: color} pairings. Use event_number==-1 for
any event numbers in the events list that are not in the dictionary.
- scalings : dict | None
Scaling factors for the traces. If any fields in scalings are ‘auto’,
the scaling factor is set to match the 99.5th percentile of a subset of
the corresponding data. If scalings == ‘auto’, all scalings fields are
set to ‘auto’. If any fields are ‘auto’ and data is not preloaded, a
subset of times up to 100mb will be loaded. If None, defaults to:
dict(mag=1e-12, grad=4e-11, eeg=20e-6, eog=150e-6, ecg=5e-4,
emg=1e-3, ref_meg=1e-12, misc=1e-3, stim=1,
resp=1, chpi=1e-4, whitened=1e2)
- remove_dc : bool
If True remove DC component when plotting data.
- order : array of int | None
Order in which to plot data. If the array is shorter than the number of
channels, only the given channels are plotted. If None (default), all
channels are plotted. If group_by is 'position' or
'selection' , the order parameter is used only for selecting the
channels to be plotted.
- show_options : bool
If True, a dialog for options related to projection is shown.
- title : str | None
The title of the window. If None, and either the filename of the
raw object or ‘<unknown>’ will be displayed as title.
- show : bool
Show figure if True.
- block : bool
Whether to halt program execution until the figure is closed.
Useful for setting bad channels on the fly by clicking on a line.
May not work on all systems / platforms.
- highpass : float | None
Highpass to apply when displaying data.
- lowpass : float | None
Lowpass to apply when displaying data.
- filtorder : int
Filtering order. Note that for efficiency and simplicity,
filtering during plotting uses forward-backward IIR filtering,
so the effective filter order will be twice filtorder .
Filtering the lines for display may also produce some edge
artifacts (at the left and right edges) of the signals
during display. Filtering requires scipy >= 0.10.
- clipping : str | None
If None, channels are allowed to exceed their designated bounds in
the plot. If “clamp”, then values are clamped to the appropriate
range for display, creating step-like artifacts. If “transparent”,
then excessive values are not shown, creating gaps in the traces.
- show_first_samp : bool
If True, show time axis relative to the raw.first_samp .
- proj : bool
Whether to apply projectors prior to plotting (default is True ).
Individual projectors can be enabled/disabled interactively (see
Notes). This argument only affects the plot; use raw.apply_proj()
to modify the data stored in the Raw object.
- group_by : str
How to group channels. 'type' groups by channel type,
'original' plots in the order of ch_names, 'selection' uses
Elekta’s channel groupings (only works for Neuromag data),
'position' groups the channels by the positions of the sensors.
'selection' and 'position' modes allow custom selections by
using lasso selector on the topomap. Pressing ctrl key while
selecting allows appending to the current selection. Channels marked as
bad appear with red edges on the topomap. 'type' and 'original'
groups the channels by type in butterfly mode whereas 'selection'
and 'position' use regional grouping. 'type' and 'original'
modes are overridden with order keyword.
- butterfly : bool
Whether to start in butterfly mode. Defaults to False.
- decim : int | ‘auto’
Amount to decimate the data during display for speed purposes.
You should only decimate if the data are sufficiently low-passed,
otherwise aliasing can occur. The ‘auto’ mode (default) uses
the decimation that results in a sampling rate least three times
larger than min(info['lowpass'], lowpass) (e.g., a 40 Hz lowpass
will result in at least a 120 Hz displayed sample rate).
- noise_cov : instance of Covariance | str | None
Noise covariance used to whiten the data while plotting.
Whitened data channels are scaled by scalings['whitened'] ,
and their channel names are shown in italic.
Can be a string to load a covariance from disk.
See also mne.Evoked.plot_white() for additional inspection
of noise covariance properties when whitening evoked data.
For data processed with SSS, the effective dependence between
magnetometers and gradiometers may introduce differences in scaling,
consider using mne.Evoked.plot_white() .
- event_id : dict | None
Event IDs used to show at event markers (default None shows
theh event numbers).
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