LeetCode 2887: Fill Missing Data Solution

Master LeetCode problem 2887 (Fill Missing Data), a easy challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

2887. Fill Missing Data

Easy

Problem Explanation

Explanation:

To solve this problem, we need to iterate over the DataFrame and fill in the missing values in the "quantity" column with 0. We can do this by checking each row and if the "quantity" value is missing (represented as None in the input), we update it to 0.

  • Algorithm:

    1. Iterate over each row in the DataFrame.
    2. Check if the "quantity" value is missing (None).
    3. If missing, update the "quantity" value to 0.
    4. Return the updated DataFrame.
  • Time Complexity: O(n) where n is the number of rows in the DataFrame.

  • Space Complexity: O(1) as we are not using any extra space.

:

Solution Code

class Solution {
    public void fillMissingData(List<Map<String, Object>> products) {
        for (Map<String, Object> product : products) {
            if (product.get("quantity") == null) {
                product.put("quantity", 0);
            }
        }
    }
}

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