Completed Pandas3

[kaaviyavarrshini]

No description provided.

[super30admin]

1. Correctness:

   • The solutions generally appear to solve the problems correctly, but there are some issues:
     • In Problem1_Bonus.py, there are two solutions in the same function which is incorrect syntax. The second solution should be in a separate function or commented out properly.
     • In Problem3_PatientCondition.py, the second solution has a syntax error (condn.str.startswith() should be just condn.startswith() since condn is a string, not a Series).
     • The second solution in Problem3_PatientCondition.py also doesn't properly handle cases where 'DIAB1' might appear in different forms (like lowercase).

2. Time Complexity:

   • Problem1_Bonus.py:
     • First solution uses a loop: O(n) time complexity, which is good.
     • Second solution uses vectorized operations: O(n) but more efficient in practice due to pandas optimizations.
   • Problem2_FixNames.py:
     • Both solutions are O(n) and efficient.
   • Problem3_PatientCondition.py:
     • First solution is O(n) for the str operations.
     • Second solution is O(n*m) where m is the number of conditions per patient, which is less efficient.

3. Space Complexity:

   • All solutions have reasonable space complexity (O(n) for the results), though some create intermediate DataFrames.

4. Code Quality:

   • Strengths:
     • Provides multiple solutions for each problem.
     • Uses pandas effectively for most operations.
   • Areas for improvement:
     • Syntax errors in Problem3_PatientCondition.py.
     • Mixed solutions in one function in Problem1_Bonus.py.
     • Could use more comments explaining the logic.
     • Variable naming could be more descriptive (e.g., 'condns' vs 'conditions').

5. Efficiency:

   • The vectorized pandas solutions are generally more efficient than the loop-based ones.
   • Could improve by:
     • Using consistent approaches (vectorized operations preferred in pandas).
     • Handling edge cases better (like empty DataFrames or null values).