duckdb-parquet-lab-workflow
Use DuckDB to query Parquet files, inspect metadata, join tables, and convert results to pandas for analysis; commonly precedes ydata-eda-profiling for EDA on extracted tables.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
查看来源 ↗使用指南技能说明
DuckDB Parquet Lab Workflow
Purpose
Standardize the pattern of loading Parquet files into DuckDB, inspecting schema, running SQL joins, and converting results to pandas DataFrames.
Usage
- "load Parquet with DuckDB and join tables"
- "describe DuckDB table schema"
- "convert DuckDB query to pandas"
Instructions
- Read Parquet data with
duckdb.queryorduckdb.sqlusing SQL strings. - Inspect schema using
DESCRIBE SELECT * FROM <table>and display with.show(). - Use explicit joins with clear
LEFTorRIGHTsemantics to preserve row counts. - Convert results to pandas with
.to_df()for downstream modeling. - Use
./templates/duckdb_snippets.mdfor the standard SQL patterns.
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-01-26
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!