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

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 not sure what the issue is. would appreciate any help!  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 not sure what the issue is. would appreciate any help!
Task 5: Write a process_transactions function that modifies a transactions DataFrame and

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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