missing_value_remover

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缺失值删除工具。读取结构化表格或 JSONL 数据，删除包含缺失值的行或删除缺失比例过高的列；不负责缺失值填充。当用户提到删除缺失值、删除空值行、删除空值列等需求时使用此skill。适用于科研表格和结构化数据的缺失清理，不负责插值、补值、均值填充或其他修复操作。

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Missing Value Remover 缺失值删除 Skill

功能概述

本skill用于删除数据中包含缺失值的行或列：

drop：删除包含任何缺失值的行
drop_cols：删除缺失比例超过阈值的列

输入文件格式

支持以下结构化文件格式：

CSV
TSV
Excel（.xlsx / .xls）
JSON
JSONL

不支持的文件格式会直接报错拒绝，不会自动猜测格式；如需处理其他格式，请先转换为以上支持格式后再使用本skill。

使用方法

删除含缺失值的行

python scripts/run_missing_value_remover.py \
  --input data.csv \
  --output cleaned.csv \
  --strategy drop

删除缺失严重的列

python scripts/run_missing_value_remover.py \
  --input data.csv \
  --output cleaned.csv \
  --strategy drop_cols \
  --threshold 0.5

参数说明

参数	必填	说明
`--input`	是	输入文件路径
`--output`	是	输出文件路径
`--columns`	否	处理字段，逗号分隔
`--strategy`	否	删除策略，默认"drop"
`--threshold`	否	删除阈值，默认0.5

环境要求

pip install pandas numpy openpyxl