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Jul 16th, 2019
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  1. def f(x):
  2. for i in range(11):
  3. return x.iloc[i*len(x)//10:i+1*len(x)//10].agg('sum')
  4.  
  5.  
  6. grouped_data = data_train_bel1800.groupby(['Cycle', 'Type'])['Time'].apply(f)
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