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Dec 14th, 2018
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  1. 0 154480.429000
  2. 1 154.480844
  3. 2 154480.433000
  4. 3 154.480844
  5. 4 154480.433000
  6. ......
  7.  
  8. v = np.log10(ser).astype(int)
  9. ser * 10 ** (v.max() - v).values
  10.  
  11. 0 154480.429
  12. 1 154480.844
  13. 2 154480.433
  14. 3 154480.844
  15. 4 154480.433
  16. Name: 1, dtype: float64
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