Pandas DataFrame Schema Validator
Validates Pandas DataFrame structures using the pandera library API and pa.DataFrameSchema definitions. Enforces column types, nullable constraints, and custom check functions via pandera.Check.
What it does
Pandas DataFrame Schema Validator
Validates Pandas DataFrame structures using the pandera library API and pa.DataFrameSchema definitions. Enforces column types, nullable constraints, and custom check functions via pandera.Check.
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:
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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 in addition to the normal
-
dependencies above. Cython can be installed from PyPI:
-
sh
-
Extracted from upstream docs: https://raw.githubusercontent.com/pandas-dev/pandas/HEAD/README.md
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,127 chars)