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May 26th, 2018
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  1. def CalcspeedAngle(rundata,dt,k):
  2. turnrates = []
  3. vts = []
  4. #complicated code now follows where I append lists of values depending on
  5. #rundata, dt, k to these lists
  6. ...
  7. ...
  8.  
  9. turnrates, vts = CalcspeedAngle(rundata, 0.05, 1)
  10.  
  11. m1list = [mean(flattened(turnrates(k=1))), mean(flattened(turnrates(k=2))), ...]
  12. m2list = [mean(flattened(vts(k=1))), mean(vts(turnrates(k=2))), ...]
  13.  
  14. def lists_of_means():
  15. m1list = []
  16. m2list = []
  17.  
  18. m1 = []
  19. for i in range(10):
  20. np.mean(item for sublist in CalcspeedAngle(rundata, 0.05, i) for item in sublist)
  21.  
  22. m2 = []
  23. for i in range(10):
  24. np.mean(item for sublist in CalcspeedAngle(rundata, 0.05, i) for item in sublist)
  25.  
  26. m1list.append(m1)
  27. m2list.append(m2)
  28. return(m1,m2)
  29.  
  30. m1,m2 = lists_of_means()
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