Pandas4

[kiran160195]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of pandas operations for ranking and filtering data. Here are some specific observations:

1. Correctness:

• Both solutions correctly handle duplicate salaries by dropping duplicates before ranking.
• The ranking logic using rank(method='dense') is appropriate for this type of problem.
• Both solutions handle edge cases where there might not be enough unique salaries.

2. Time Complexity:

• The operations (drop_duplicates, rank, filtering) are all O(n) or O(n log n) operations, making the overall complexity reasonable for typical datasets.

3. Space Complexity:

• The solutions create new DataFrames (for duplicates and ranks) which increases space usage, but this is acceptable for most cases.

4. Code Quality:

• The code is generally clean and readable.
• Variable names could be more descriptive (e.g., 'result' is too generic).
• The solutions could benefit from consistent formatting (e.g., spacing around operators).
• The problem2 solution could be simplified to match the style of problem1 (using the same pattern for returning a DataFrame with a single value).

5. Efficiency:

• The solutions could potentially be optimized by combining operations or using more pandas built-in functions.
• For problem2, the condition if len(secondSalary) >=2 could be replaced with a more direct check like in problem1.

Overall, the solutions are correct and demonstrate good pandas skills, but could be improved in terms of consistency and some minor optimizations.