Pandas DataFrame Pipeline Builder

Constructs data transformation pipelines using Pandas and the pipe() method chain pattern. Integrates with SQLAlchemy for database I/O and PyArrow for high-performance Parquet operations.

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 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