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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.

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Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

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Instructions

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

  1. Read Parquet data with duckdb.query or duckdb.sql using SQL strings.
  2. Inspect schema using DESCRIBE SELECT * FROM <table> and display with .show().
  3. Use explicit joins with clear LEFT or RIGHT semantics to preserve row counts.
  4. Convert results to pandas with .to_df() for downstream modeling.
  5. Use ./templates/duckdb_snippets.md for 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.

GitHub ↗

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