Pandas DataFrame Rollup Error












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I am trying to compute Percentage Contributions on a pandas dataframe. I have a data frame which has three columns (Buyer, Product, CountofProductBought).



I create a new dataframe using groupby at Buyer level and using sum on the Count of Products Bought. I use the as_index=False.



Finally I merge this data frame with the original data frame to compute the % [count of Product Bought/ SUM of count of Product Bought].



I get the following error when I call pd.merge



"The column label 'Buyer' is not unique.
For a multi-index, the label must be a tuple with elements corresponding to each level."



Please help as there is no concrete help on this.






python pandas






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    0












    $begingroup$


    I am trying to compute Percentage Contributions on a pandas dataframe. I have a data frame which has three columns (Buyer, Product, CountofProductBought).



    I create a new dataframe using groupby at Buyer level and using sum on the Count of Products Bought. I use the as_index=False.



    Finally I merge this data frame with the original data frame to compute the % [count of Product Bought/ SUM of count of Product Bought].



    I get the following error when I call pd.merge



    "The column label 'Buyer' is not unique.
    For a multi-index, the label must be a tuple with elements corresponding to each level."



    Please help as there is no concrete help on this.






    python pandas






    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I am trying to compute Percentage Contributions on a pandas dataframe. I have a data frame which has three columns (Buyer, Product, CountofProductBought).



      I create a new dataframe using groupby at Buyer level and using sum on the Count of Products Bought. I use the as_index=False.



      Finally I merge this data frame with the original data frame to compute the % [count of Product Bought/ SUM of count of Product Bought].



      I get the following error when I call pd.merge



      "The column label 'Buyer' is not unique.
      For a multi-index, the label must be a tuple with elements corresponding to each level."



      Please help as there is no concrete help on this.






      python pandas






      share









      $endgroup$




      I am trying to compute Percentage Contributions on a pandas dataframe. I have a data frame which has three columns (Buyer, Product, CountofProductBought).



      I create a new dataframe using groupby at Buyer level and using sum on the Count of Products Bought. I use the as_index=False.



      Finally I merge this data frame with the original data frame to compute the % [count of Product Bought/ SUM of count of Product Bought].



      I get the following error when I call pd.merge



      "The column label 'Buyer' is not unique.
      For a multi-index, the label must be a tuple with elements corresponding to each level."



      Please help as there is no concrete help on this.






      python pandas




      python pandas





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      share










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