Closed andbiz closed 7 years ago
import numpy as np import pyphysio as ph FSAMP = 100 n = np.arange(1000) t = n / FSAMP freq = 1 #create reference signal sinusoid = ph.EvenlySignal(np.sin(2 * np.pi * freq * t), sampling_freq = FSAMP, signal_nature = '', start_time = 0) # remove some samples sinusoid_unevenly = ph.UnevenlySignal(np.delete(sinusoid.get_values(), [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]), sampling_freq = FSAMP, signal_nature = '', start_time = 0, x_values = np.delete(sinusoid.get_times(), [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]), x_type='instants') np.sum(sinusoid_unevenly.get_times() - np.delete(sinusoid.get_times(), [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24])) # NOT EQUAL TO ZERO