# mne.viz.plot_raw_psd¶

mne.viz.plot_raw_psd(raw, fmin=0, fmax=inf, tmin=None, tmax=None, proj=False, n_fft=None, n_overlap=0, reject_by_annotation=True, picks=None, ax=None, color='black', xscale='linear', area_mode='std', area_alpha=0.33, dB=True, estimate='auto', show=True, n_jobs=1, average=False, line_alpha=None, spatial_colors=True, verbose=None)[source]

Plot the power spectral density across channels.

Different channel types are drawn in sub-plots. When the data have been processed with a bandpass, lowpass or highpass filter, dashed lines indicate the boundaries of the filter (–). The line noise frequency is also indicated with a dashed line (-.).

Parameters
rawinstance of Raw

The raw object.

fminfloat

Start frequency to consider.

fmaxfloat

End frequency to consider.

tmin

Start time to consider.

tmax

End time to consider.

projbool

Apply projection.

n_fft

Number of points to use in Welch FFT calculations. Default is None, which uses the minimum of 2048 and the number of time points.

n_overlapint

The number of points of overlap between blocks. The default value is 0 (no overlap).

reject_by_annotationbool

Whether to omit bad segments from the data while computing the PSD. If True, annotated segments with a description that starts with ‘bad’ are omitted. Has no effect if inst is an Epochs or Evoked object. Defaults to True.

picks

Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g., ['meg', 'eeg']) will pick channels of those types, channel name strings (e.g., ['MEG0111', 'MEG2623'] will pick the given channels. Can also be the string values “all” to pick all channels, or “data” to pick data channels. None (default) will pick good data channels Cannot be None if ax is supplied.If both picks and ax are None separate subplots will be created for each standard channel type (mag, grad, and eeg).

axinstance of Axes | None

Axes to plot into. If None, axes will be created.

color

A matplotlib-compatible color to use. Has no effect when spatial_colors=True.

xscalestr

Can be ‘linear’ (default) or ‘log’.

area_mode

Mode for plotting area. If ‘std’, the mean +/- 1 STD (across channels) will be plotted. If ‘range’, the min and max (across channels) will be plotted. Bad channels will be excluded from these calculations. If None, no area will be plotted. If average=False, no area is plotted.

area_alphafloat

Alpha for the area.

dBbool

Plot Power Spectral Density (PSD), in units (amplitude**2/Hz (dB)) if dB=True, and estimate='power' or estimate='auto'. Plot PSD in units (amplitude**2/Hz) if dB=False and, estimate='power'. Plot Amplitude Spectral Density (ASD), in units (amplitude/sqrt(Hz)), if dB=False and estimate='amplitude' or estimate='auto'. Plot ASD, in units (amplitude/sqrt(Hz) (db)), if dB=True and estimate='amplitude'.

estimatestr, {‘auto’, ‘power’, ‘amplitude’}

Can be “power” for power spectral density (PSD), “amplitude” for amplitude spectrum density (ASD), or “auto” (default), which uses “power” when dB is True and “amplitude” otherwise.

showbool

Show figure if True.

n_jobsint

The number of jobs to run in parallel (default 1). Requires the joblib package.

averagebool

If False, the PSDs of all channels is displayed. No averaging is done and parameters area_mode and area_alpha are ignored. When False, it is possible to paint an area (hold left mouse button and drag) to plot a topomap.

line_alpha

Alpha for the PSD line. Can be None (default) to use 1.0 when average=True and 0.1 when average=False.xscale=xscale,

spatial_colorsbool

Whether to use spatial colors. Only used when average=False.

verbose

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns
figinstance of Figure

Figure with frequency spectra of the data channels.