tensorpac.utils.PSD

class tensorpac.utils.PSD(x, sf)

Power Spectrum Density for electrophysiological brain data.

Parameters

xarray_like

Array of data of shape (n_epochs, n_times)

sffloat

The sampling frequency.

__init__(x, sf)

Init.

Methods

__init__(x, sf)	Init.
plot([f_min, f_max, confidence, interp, …])	Plot the PSD.
plot_st_psd([f_min, f_max, log, grid, …])	Single-trial PSD plot.
show()	Display the PSD figure.

Attributes

freqs	Get the frequency vector.
psd	Get the psd value.

plot(f_min=None, f_max=None, confidence=95, interp=None, log=False, grid=True, fz_title=18, fz_labels=15)

Plot the PSD.

Parameters

f_min, f_max(int, float) | None

Frequency bounds to use for plotting

confidence(int, float) | None

Light gray confidence interval. If None, no interval will be displayed

interpint | None

Line interpolation integer. For example, if interp is 10 the number of points is going to be multiply by 10

logbool | False

Use a log scale representation

gridbool | True

Add a grid to the plot

fz_titleint | 18

Font size for the title

fz_labelsint | 15

Font size the x/y labels

Returns

axMatplotlib axis

The matplotlib axis that contains the figure

plot_st_psd(f_min=None, f_max=None, log=False, grid=True, fz_title=18, fz_labels=15, fz_cblabel=15, **kw)

Single-trial PSD plot.

Parameters

f_min, f_max(int, float) | None

Frequency bounds to use for plotting

logbool | False

Use a log scale representation

gridbool | True

Add a grid to the plot

fz_titleint | 18

Font size for the title

fz_labelsint | 15

Font size the x/y labels

fz_cblabelint | 15

Font size the colorbar label labels

Returns

axMatplotlib axis

The matplotlib axis that contains the figure

show()

Display the PSD figure.

property freqs

Get the frequency vector.

property psd

Get the psd value.