Completed Pandas10

[sangeeths29]

No description provided.

[super30admin]

Let's evaluate each of the three solutions separately:

1. Group Sold Products by the Date:

• Correctness: The solution correctly groups by sell_date, calculates unique products, and joins them in sorted order. It handles the requirements well.
• Time Complexity: O(n log n) due to the sorting operation (both in the join and final sort).
• Space Complexity: O(n) for storing the grouped data.
• Code Quality: Well-structured and readable. The use of lambda for joining sorted unique products is elegant.
• Efficiency: Could potentially avoid the final sort if the groupby maintains order, but this is minor.

2. Daily Leads and Partners:

• Correctness: Correctly groups by date_id and make_name, calculating unique leads and partners as required.
• Time Complexity: O(n) for grouping and aggregation, plus O(n log n) for the final sort.
• Space Complexity: O(n) for storing the grouped data.
• Code Quality: Clean and straightforward. Good use of aggregation functions.
• Efficiency: Similar to first solution, the sort might not be necessary if order is preserved.

3. Actors and Directors who Cooperated At Least Three Times:

• Correctness: Correctly identifies pairs with at least 3 cooperations. The filtering is done properly.
• Time Complexity: O(n) for grouping and counting.
• Space Complexity: O(n) for storing the counts.
• Code Quality: Simple and effective. The chained operations are clear.
• Efficiency: The solution is already quite efficient for this problem.

General strengths:

• Consistent style across solutions
• Proper use of pandas operations
• Good function naming and parameter handling
• Appropriate use of aggregation functions

Areas for improvement:

• The sorting operations in the first two solutions might not be strictly necessary if the problem doesn't require sorted output
• Could add docstrings to explain function purposes
• Could consider using more descriptive variable names in some cases (like 'groups' could be more specific)