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a guest Jun 18th, 2019 47 Never
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  1. Columns:
  2. Title
  3. Month
  4. Country
  5. Screens
  6. Seats
  7. Admission
  8. Local_Currency
  9. Units_per_USD
  10.  
  11. Index: 0
  12. A 1 Z 77 6,468 2,053 482,455.00 17.126106
  13.  
  14. Index: 1
  15. B 2 Y 78 6,552 903 212,205.00 17.126106
  16.  
  17. Index: 2    
  18. C 1 X 52 4,368 1,054 247,150.00 17.126106
  19.      
  20. s = df['Bo_local']
  21. s = pd.to_numeric(s)
  22.  
  23. ValueError: Unable to parse string "482,455.00" at position 0
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