fill missing data core interview pattern 模式
1 道题目
模式页适合用来建立可复用解题框架。先识别题目特征，再按固定流程解释状态定义、转移和边界。
识别信号
- The candidate demonstrates knowledge of pandas and its functions for data cleaning.
- The candidate can explain the trade-offs between using built-in functions and manual iteration for handling missing data.
解题流程
- 1. 明确窗口/状态定义
- 2. 更新状态并维护约束
- 3. 用边界样例验证
常见失分点
- Overcomplicating the problem by using manual iteration when pandas fillna() is more efficient.