Question: hello, any idea where this typeerror could be coming from? the columns being combined im the df are all of the same type, so im



Task 5: Write a process_transactions function that modifies a transactions DataFrame and appends it to the positions DataFrame (as in Tasks 2-4) Be sure you: 1. Make quantity negative for sells 2. Rename the average_price column to average_cost 3. Remove the direction column 4. Adjust the cash position to reflect the new transactions 5. Append the new transactions to positions_df and return the combined DataFrame - Bolution to Task 5 - Function procese transactions takes as input: 1) positions_df, a Dataframe with coltanst "aecurity, Id", "quantity"; and "average cose" fan - 2) tranasetione df, a Dataframe with colvanst "aecurity,id', "direction', "quantity", and "a It modifies transactions df no it fite with the conventions of positions df, adjusta the cas - It returns the modifled positions df * "print (positions _df. dtypes) print(transactions df. dtypess) ** traneactions1 df = pd. read_esv(" transactions1. csv* ) transactions2 df = pd. read_csv( "transactions 2.esv ) def process_transactions (positions_df, tiransactions_dejt modified positions_df = posttions_df, eopy() transactions_dft quant 1ty1= traneactions_df.applyf L. transactions_df = transactions df. drop(colume t 'direction ]) transactions_df = transactions_df, renase(colemis-f'average price't 'average cost' ') solution to Task 5 Function process_trangactions takes as input: 1) positions_df, a DataFrame with columnst 'security_1d', "quantity', and "averago_cost' - 2) transactions_df, a Dataprame with columns: 'security_1d', 'direction', 'quantity', and 1. It modifies transactions_df so it fits with the conventions of positions_df, adjusts the ca it returns the modified positions_de 'quantity', and 'average_cost' (and potentialiy others) d', 'direction', 'quantity', and 'average price' ns of positions_df, adjusts the cash balance in positions_df, and appends to positions_df Run this cell without editing it, the output should show a DataFrame with all five transactions and an updated ca: balance TYpeError: unsupported operand type(s) for +i 'float' and 'str' Task 5: Write a process_transactions function that modifies a transactions DataFrame and appends it to the positions DataFrame (as in Tasks 2-4) Be sure you: 1. Make quantity negative for sells 2. Rename the average_price column to average_cost 3. Remove the direction column 4. Adjust the cash position to reflect the new transactions 5. Append the new transactions to positions_df and return the combined DataFrame - Bolution to Task 5 - Function procese transactions takes as input: 1) positions_df, a Dataframe with coltanst "aecurity, Id", "quantity"; and "average cose" fan - 2) tranasetione df, a Dataframe with colvanst "aecurity,id', "direction', "quantity", and "a It modifies transactions df no it fite with the conventions of positions df, adjusta the cas - It returns the modifled positions df * "print (positions _df. dtypes) print(transactions df. dtypess) ** traneactions1 df = pd. read_esv(" transactions1. csv* ) transactions2 df = pd. read_csv( "transactions 2.esv ) def process_transactions (positions_df, tiransactions_dejt modified positions_df = posttions_df, eopy() transactions_dft quant 1ty1= traneactions_df.applyf L. transactions_df = transactions df. drop(colume t 'direction ]) transactions_df = transactions_df, renase(colemis-f'average price't 'average cost' ') solution to Task 5 Function process_trangactions takes as input: 1) positions_df, a DataFrame with columnst 'security_1d', "quantity', and "averago_cost' - 2) transactions_df, a Dataprame with columns: 'security_1d', 'direction', 'quantity', and 1. It modifies transactions_df so it fits with the conventions of positions_df, adjusts the ca it returns the modified positions_de 'quantity', and 'average_cost' (and potentialiy others) d', 'direction', 'quantity', and 'average price' ns of positions_df, adjusts the cash balance in positions_df, and appends to positions_df Run this cell without editing it, the output should show a DataFrame with all five transactions and an updated ca: balance TYpeError: unsupported operand type(s) for +i 'float' and 'str
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