cas-bigdatalab/piflow/data-type-converter

Claude Code and agent skill by cas-bigdatalab/piflow

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数据类型转换工具。转换数据字段的类型,支持数值、字符串、日期等类型互转。 当用户提到类型转换、数据格式转换、字段类型修改等需求时使用此skill。 即使用户没有明确说出"类型转换",只要任务涉及改变字段的数据类型,就应该使用此skill。

Install

npx vskill@latest install cas-bigdatalab/piflow/data-type-converter

SKILL.md

The same SKILL.md was published earlier as majiayu000/claude-skill-registry/data-type-converter.

Data Type Converter 数据类型转换 Skill

功能概述

本skill用于转换数据字段的类型,支持:

  • 数值转换:int, float
  • 字符串转换:str
  • 日期转换:datetime
  • 布尔转换:bool
  • 分类转换:category

触发条件

当用户请求以下任务时,应使用此skill:

  • 数据类型转换
  • 字段格式转换
  • 日期格式化
  • 数值格式化

支持的目标类型

类型说明示例
int整数"123" → 123
float浮点数"123.45" → 123.45
str字符串123 → "123"
datetime日期时间"2024-01-01" → datetime
bool布尔值"true" → True
category分类类型优化内存

使用方法

基本类型转换
bash
python scripts/run_data_type_converter.py \
--input data.csv \
--output converted.csv \
--conversions "age:int,score:float,name:str"
日期类型转换
bash
python scripts/run_data_type_converter.py \
--input data.csv \
--output converted.csv \
--conversions "date:datetime" \
--date_format "%Y-%m-%d"
多字段转换
bash
python scripts/run_data_type_converter.py \
--input data.csv \
--output converted.csv \
--conversions "id:int,amount:float,date:datetime,category:category"

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
--conversions是转换规则
--date_format否日期格式,默认"%Y-%m-%d"
--errors否错误处理,默认"coerce"

错误处理方式

方式说明
raise遇到错误时抛出异常
coerce转换失败设为NaN
ignore保留原值

输出示例

[OK] Data type conversion completed!
Input file: data.csv
Output file: converted.csv
Conversions:
- age: object → int64
- score: object → float64
- date: object → datetime64[ns]
Total rows: 1000
Conversion errors: 5

环境要求

bash
pip install pandas numpy openpyxl

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