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Nov 12th, 2018
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  1. import pandas as pd
  2.  
  3. keys_df = pd.DataFrame([ ["steve" , "2266", "Steve, Inc"],
  4. ["edward" , "3377", "Ed, Inc"],
  5. ["Juan" , "4488", "Juan, Inc"],
  6. ["Pedro" , "5599", "Pedro, Inc"]],
  7. columns=["contains", "parent_id", "parent_name"])
  8.  
  9. new_df = pd.DataFrame([ [ "9845" , "steve (bikes) qc", None,None],
  10. [ "9846" , "mark inc",None,None],
  11. [ "9847" , "young steve",None,None],
  12. [ "9845" , "Juan 22",None,None],
  13. [ "9845" , "Zak",None,None]],
  14. columns=["id", "name", "parent_name", "parent_id"])
  15.  
  16. id name parent_id parent_name
  17. "9845" "steve (bikes) qc" "2266" "Steve, Inc"
  18. "9846" "mark inc" None None
  19. "9847" "young steve" "2266" "Steve, Inc"
  20. "9845" "Juan 22" "4488" "Juan, Inc"
  21. "9845" "Zak" None None
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