# Pandas DataFrame Schema Enforcer

> Validates and transforms Pandas DataFrames using Pandera schema definitions with column-level dtype, nullable, and custom check constraints. Auto-generates Pandera schema code from sample DataFrames.

- Skill: `agentskillexchange/pandas-dataframe-schema-enforcer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/pandas-dataframe-schema-enforcer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/pandas-dataframe-schema-enforcer/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/pandas-dataframe-schema-enforcer

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# Pandas DataFrame Schema Enforcer

Validates and transforms Pandas DataFrames using Pandera schema definitions with column-level dtype, nullable, and custom check constraints. Auto-generates Pandera schema code from sample DataFrames.

## Installation

Use the upstream install or setup path that matches your environment:
- conda install -c conda-forge pandas
- pip install pandas
- pip install cython
- pip install .

Requirements and caveats from upstream:
- # pandas: A Powerful Python Data Analysis Toolkit
- **pandas** is a Python package that provides fast, flexible, and expressive data
- doing practical, **real-world** data analysis in Python. Additionally, it has

Basic usage or getting-started notes:
- To install pandas from source you need [Cython](https://cython.org/) in addition to the normal
- dependencies above. Cython can be installed from PyPI:
- sh

- Source: https://github.com/pandas-dev/pandas
- Extracted from upstream docs: https://raw.githubusercontent.com/pandas-dev/pandas/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/pandas-dataframe-schema-enforcer/)