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GO Classes DPP | PYTHON & DSA |PYTHON

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Suppose you have a list of strings representing transaction amounts, some of which contain non-numeric characters $($e.g., "$\$$"$)$. You need to clean the data, convert the valid entries to integers, and calculate the total sum.

Which of the following code snippets correctly calculates the sum of $\verb|['10', '|$\$$\verb|20', '30', '40|$\$$\verb|']|$ after removing any ' $\$$ ' characters?

  1. $\verb|sum([int(i.strip('|$\$$\verb|')) for i in data])|$
     
  2. $\verb|total = 0; for i in data: total += int(i.replace('|$\$$\verb|', ''))|$
     
  3. $\verb|sum(map(lambda} x: int(x.replace('|$\$$\verb|', '')), data))|$
     
  4. ALL OF THE ABOVE

     

1 Answer

1 1 vote

OPTION A: Uses a list comprehension and the $\verb|.strip()|$ method. Since the ' $\$$ ' is at the beginning or end of the strings in the list, $\verb|strip('|$\$$\verb|')|$ effectively removes it before the string is cast to an $\verb|int|$.

OPTION B: Uses a standard $\verb|for|$ loop and the $\verb|.replace()|$ method. This is the most readable approach for beginners and correctly accumulates the sum in the $\verb|total|$ variable.

OPTION C: Uses $\verb|map()|$ and a $\verb|lambda|$ function. This is a functional programming approach that applies the replacement and integer conversion to every element in the list before passing the result to $\verb|sum()|$.

The correct answer is D) ALL OF THE ABOVE.

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