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Interface customization¶
Use custom color, font size…

from visbrain.gui import Signal
from visbrain.utils import generate_eeg
sf = 512. # sampling frequency
n_pts = 4000 # number of time points
n_trials = 125 # number of trials in the dataset
"""Generate a random EEG vector of shape (n_trials, n_pts). This time, we
smooth signals and decrease the noise on it.
"""
data, _ = generate_eeg(sf=sf, n_pts=n_pts, n_trials=n_trials, smooth=200,
noise=1000)
gtitles = ['Trial ' + str(k) for k in range(n_trials)] # grid titles
gfz = 8. # grid titles font-size
"""Define a dictionary with interface customization entries
"""
kwargs = {'xlabel': 'xlabel', 'ylabel': 'ylabel', 'title': 'title',
'color': 'lightgray', 'marker_symbol': 'x', 'title_font_size': 20,
'hist_nbins': 100, 'line_lw': 2.5, 'tf_norm': 3,
'tf_interp': 'nearest', 'tf_cmap': 'Spectral_r',
'tf_baseline': (250, 750), 'tf_av_window': 100, 'tf_av_overlap': .5,
'tf_clim': (-.5, .5), 'axis_font_size': 18, 'tick_font_size': 8,
'axis_color': 'white', 'bgcolor': (.1, .1, .1), 'form': 'marker',
'grid_titles': gtitles, 'grid_font_size': gfz,
'grid_titles_color': 'white'}
sg = Signal(data, sf=sf, axis=-1, **kwargs)
sg.show()
Total running time of the script: ( 0 minutes 0.000 seconds)