What will the following code generate?portfolio_df = pd.DataFrame({'stock ticker symbols' : ['FB', 'TSLA', 'T'],'price per share [$]' : [20, 30, 40],'Number of stocks' : [1, 1, 1]})stocks_dollar_value = portfolio_df['price per share [$]'] * portfolio_df['Number of stocks']print('Total portfolio value = {}'.format(stocks_dollar_value.sum()))A.Total portfolio value = 90B.Total portfolio value = 100C.Total portfolio value = 2,400D.Total portfolio value = 600
Question
What will the following code generate?portfolio_df = pd.DataFrame({'stock ticker symbols' : ['FB', 'TSLA', 'T'],'price per share []' : [20, 30, 40],'Number of stocks' : [1, 1, 1]})stocks_dollar_value = portfolio_df['price per share []'] * portfolio_df['Number of stocks']print('Total portfolio value = {}'.format(stocks_dollar_value.sum()))A.Total portfolio value = 90B.Total portfolio value = 100C.Total portfolio value = 2,400D.Total portfolio value = 600
Solution
The code is creating a pandas DataFrame with three columns: 'stock ticker symbols', 'price per share [$]', and 'Number of stocks'. The DataFrame is populated with the provided lists.
Then, it calculates the total dollar value of each stock by multiplying the 'price per share [$]' by the 'Number of stocks'.
Finally, it sums up these values to get the total portfolio value.
The 'price per share [$]' values are 20, 30, and 40, and the 'Number of stocks' is 1 for each. So, the total portfolio value is 201 + 301 + 40*1 = 90.
So, the correct answer is A. Total portfolio value = 90.
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