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.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
Voir la source ↗GuidesInstructions
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.
Exemples
Consultez les exemples du dépôt source.
Voir la source ↗Historique source
- Date d’indexation
- 2026-01-20
- Mise à jour de l’index
- 2026-01-26
- Branch
- main
Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.
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