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Jun 26th, 2019
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  1. User App Date
  2. 0 A 1 4/23/2019
  3. 1 A 2 4/23/2019
  4. 2 B 3 4/20/2019
  5. 3 B 4 3/15/2019
  6. 4 B 5 3/1/2019
  7. 5 C 6 3/1/2019
  8. 6 C 7 3/1/2019
  9.  
  10. df_grouped=df.groupby(['Date'])['App'].unique().reset_index()
  11.  
  12. Date App
  13. 0 3/1/2019 [5 6 7]
  14. 1 3/15/2019 [4]
  15. 2 4/20/2019 [3]
  16. 3 4/23/2019 [1 2]
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