Display component properties.
Properties include the topography, epochs image, ERP/ERF, power spectrum, and epoch variance.
mne.preprocessing.ICA
The ICA solution.
Epochs
or Raw
The data to use in plotting properties.
Note
You can interactively cycle through topographic maps for different channel types by pressing T.
str
| list
| slice
| None
Components to include. Slices and lists of integers will be interpreted
as component indices. None
(default) will use the first five
components. Each component will be plotted in a separate figure.
list
of Axes
| None
List of five matplotlib axes to use in plotting: [topomap_axis, image_axis, erp_axis, spectrum_axis, variance_axis]. If None a new figure with relevant axes is created. Defaults to None.
Whether to plot spectrum in dB. Defaults to True.
float
Whether to plot standard deviation/confidence intervals in ERP/ERF and
spectrum plots.
Defaults to True, which plots one standard deviation above/below for
the spectrum. If set to float allows to control how many standard
deviations are plotted for the spectrum. For example 2.5 will plot 2.5
standard deviation above/below.
For the ERP/ERF, by default, plot the 95 percent parametric confidence
interval is calculated. To change this, use ci
in ts_args
in
image_args
(see below).
Whether to use a logarithmic frequency axis to plot the spectrum.
Defaults to False
.
Note
You can interactively toggle this setting by pressing L.
New in version 1.1.
dict
| None
Dictionary of arguments to plot_topomap
. If None, doesn’t pass any
additional arguments. Defaults to None.
dict
| None
Dictionary of arguments to plot_epochs_image
. If None, doesn’t pass
any additional arguments. Defaults to None.
dict
| None
Dictionary of arguments to psd_multitaper
. If None, doesn’t pass
any additional arguments. Defaults to None.
None
Allows to control size of the figure. If None, the figure size defaults to [7., 6.].
Show figure if True.
dict
| None
Allows to specify rejection parameters used to drop epochs (or segments if continuous signal is passed as inst). If None, no rejection is applied. The default is ‘auto’, which applies the rejection parameters used when fitting the ICA object.
Whether to omit bad segments from the data before fitting. If True
(default), annotated segments whose description begins with 'bad'
are
omitted. If False
, no rejection based on annotations is performed.
Has no effect if inst
is not a mne.io.Raw
object.
New in version 0.21.0.
str
| int
| None
Control verbosity of the logging output. If None
, use the default
verbosity level. See the logging documentation and
mne.verbose()
for details. Should only be passed as a keyword
argument.
list
List of matplotlib figures.
Notes
New in version 0.13.