Completed Pandas1

[Paneripatel]

No description provided.

[super30admin]

1. Correctness:

   • The solutions for all four problems appear to be correct based on standard approaches. Each solution correctly filters the DataFrame according to the problem requirements and returns the expected columns.

2. Time Complexity:

   • The time complexity for all solutions is O(n), where n is the number of rows in the DataFrame, as they involve filtering operations that scan the entire DataFrame once.

3. Space Complexity:

   • The space complexity is O(n) in the worst case, as the operations may create new DataFrames or Series. However, the solutions are efficient in terms of space as they only return the necessary columns.

4. Code Quality:

   • The code is well-structured and readable. The use of pandas operations is appropriate and follows best practices.
   • The variable names are clear and descriptive.
   • The solutions are concise and to the point, which is good for readability.
   • The docstrings at the beginning of each file provide a clear reference to the problem being solved, which is excellent practice.

5. Efficiency:

   • The solutions are efficient and use pandas' built-in operations effectively. There are no obvious optimizations needed for these specific problems.
   • One minor suggestion for improvement is to consider using .copy() when creating new DataFrames to avoid potential SettingWithCopyWarning issues in more complex scenarios, though it's not strictly necessary here.

Areas for Improvement:

• While the solutions are correct and efficient, adding comments within the code to explain the logic (especially for more complex operations) could be beneficial for maintainability.
• For the find_customers function, the renaming of the column could be done more explicitly by assigning the result to a new variable before returning, though the current approach is also acceptable.