code: def cwtmorlet(points, width):
      
      omega = 5.0
      s = points / (2.0 * omega * width)
      return wavelets.morlet(points, omega, s, complete=True)
docs: complex morlet wavelet function compatible with scipy.signal.cwt
      Parameters: points: int
                      Number of points in `vector`.
                  width: scalar
                      Width parameter of wavelet.
                      Equals (sample rate / fundamental frequency of wavelet)
      Returns: `vector`: complex-valued ndarray of shape (points,)