code: def clipping_params(ts, capacity=100):
      
      ts_sorted = ts.order(ascending=False)
      i, t0, t1, integral = 1, None, None, 0
      while integral <= capacity and i+1 < len(ts):
          i += 1
          t0_within_capacity = t0
          t1_within_capacity = t1
          t0 = min(ts_sorted.index[:i])
          t1 = max(ts_sorted.index[:i])
          integral = integrated_change(ts[t0:t1])
          print i, t0, ts[t0], t1, ts[t1], integral
      if t0_within_capacity and t1_within_capacity:
          return t0_within_capacity, t1_within_capacity
docs: Start and end index that clips the price/value of a time series the most
  
      Assumes that the integrated maximum includes the peak (instantaneous maximum).
  
      Arguments:
        ts (TimeSeries): Time series to attempt to clip to as low a max value as possible
        capacity (float): Total "funds" or "energy" available for clipping (integrated area under time series)
  
      Returns:
        2-tuple: Timestamp of the start and end of the period of the maximum clipped integrated increase