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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$begingroup$
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
$endgroup$
add a comment |
$begingroup$
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
$endgroup$
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
asked 10 mins ago
user3262234user3262234
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