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Apr 28th, 2015
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  1.  
  2. import numpy as np
  3. import matplotlib.pyplot as plt
  4. import scipy.signal
  5.  
  6. data = np.load("rate.npy")
  7. aika = data['ts']
  8. taajuus = data['heartrate']
  9. aika2 = np.arange(0,4.705900599956512451e+02,0.1)
  10.  
  11. linear_interp = scipy.interpolate.interp1d(aika, taajuus, kind='linear')
  12. linear_signal = linear_interp(aika2)
  13.  
  14. plt.figure()
  15. plt.plot(aika2, linear_signal, '-', color='b')
  16. plt.show()
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