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May 25th, 2018
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Python 0.40 KB | None | 0 0
  1. import pandas as pd
  2. import numpy as np
  3.  
  4. df = pd.DataFrame(data=[
  5.     [1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9],
  6.     [2.1,2.2,2.3,2.4,2.5,2.6,2.7,2.8,2.9],
  7. ])
  8.  
  9. def compare_and_print(index, row):
  10.     A = row[:5]
  11.     B = row[5:]
  12.     print(index, ":\t", np.mean(A), "+/-", round(np.std(A),2), " vs ", np.mean(B), "+/-",round(np.std(B),2))
  13.  
  14. for index, row in df.iterrows():
  15.     compare_and_print(index, row)
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