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- def CalcspeedAngle(rundata,dt,k):
- turnrates = []
- vts = []
- #complicated code now follows where I append lists of values depending on
- #rundata, dt, k to these lists
- ...
- ...
- turnrates, vts = CalcspeedAngle(rundata, 0.05, 1)
- m1list = [mean(flattened(turnrates(k=1))), mean(flattened(turnrates(k=2))), ...]
- m2list = [mean(flattened(vts(k=1))), mean(vts(turnrates(k=2))), ...]
- def lists_of_means():
- m1list = []
- m2list = []
- m1 = []
- for i in range(10):
- np.mean(item for sublist in CalcspeedAngle(rundata, 0.05, i) for item in sublist)
- m2 = []
- for i in range(10):
- np.mean(item for sublist in CalcspeedAngle(rundata, 0.05, i) for item in sublist)
- m1list.append(m1)
- m2list.append(m2)
- return(m1,m2)
- m1,m2 = lists_of_means()
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