Closed droumis closed 1 year ago
Approach:
# ... # create a hook to set a predefined selection of RangeToolLink max_ch_disp = 10 max_t_disp = 5 range_opts = [] def xrange_hook(plot, element): plot.handles['x_range'].end = max_t_disp def yrange_hook(plot, element): plot.handles['y_range'].end = np.max(data[max_ch_disp-1,:] + ((max_ch_disp-1) * offset)) if time.max() > max_t_disp: range_opts.append(xrange_hook) if len(channel_curves) > max_ch_disp: range_opts.append(yrange_hook) # Create an overlay of curves eeg_viewer = hv.Overlay(channel_curves, kdims="Channel").opts( width=800, height=600, padding=0, xlabel="Time (s)", ylabel="Channel", yticks=yticks, show_legend=False, hooks=range_opts,) # ...
Approach: