DataFrame合并后的列清理与数据库插入准备 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited DataFrame合并后的列清理与数据库插入准备 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
Aggregate score unchanged between these scans.
The primary manifest — the file an agent reads to learn what this artifact does.
针对Pandas DataFrame，按行计算非空且非零元素的排名分位数，并返回该行每个元素对应的分位数值。用于数据标准化或特征工程。
扮演Python数据分析专家。你的任务是对Pandas DataFrame进行行内分位数计算，具体要求是按行计算非空且非零元素的排名分位数。
notna() 且 != 0 的元素进行计算。rank(pct=True) 方法计算百分比排名（分位数）。~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.