Completed Pandas3

[Paneripatel]

No description provided.

[super30admin]

1. Correctness:

   • Problem 1 (Calculate Special Bonus): The solution correctly implements the logic to calculate the bonus based on the given conditions (odd employee_id and name not starting with 'M'). The sorting by employee_id is also correctly implemented.
   • Problem 2 (Fix Names in a Table): The solution correctly capitalizes the first letter and makes the rest lowercase for each name. The sorting by user_id is also correctly implemented.
   • Problem 3 (Patients with a Condition): The solution correctly filters patients with conditions containing 'DIAB1' at the start or after a space. The regex pattern is appropriately used.

2. Time Complexity:

   • Problem 1: O(n) for applying the lambda function and O(n log n) for sorting, where n is the number of rows.
   • Problem 2: O(n) for string operations and O(n log n) for sorting.
   • Problem 3: O(n) for the regex search, where n is the number of rows.

3. Space Complexity:

   • All problems have a space complexity of O(n) as they create new columns or filter rows without using additional significant space.

4. Code Quality:

   • The code is well-structured and readable. Variable names are clear, and the logic is straightforward.
   • The use of lambda functions and string operations is appropriate.
   • The solutions follow best practices for pandas operations.

5. Efficiency:

   • For Problem 1 and 2, the sorting step could be avoided if the input DataFrame is already sorted by the respective ID columns, but this is a minor optimization.
   • For Problem 3, the regex pattern is efficient, but it could be noted that the regex might be slightly slower than simple string operations for very large datasets.

Potential Edge Cases:

• Problem 1: Empty DataFrame or names with leading/trailing spaces (though the current logic should handle these).
• Problem 2: Names with only one character or empty strings (though the current logic should handle these).
• Problem 3: Conditions with 'DIAB1' as part of another word (e.g., 'ADIAB1') should not be included, and the current regex correctly handles this.