Pandas DataFrame Pipeline Orchestrator

Chains pandas DataFrame transformations into reproducible pipelines using pipe() method composition. Handles missing data imputation with fillna() strategies, type coercion with astype(), and memory optimization via category dtypes.

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

Documentation

• https://pandas.pydata.org/docs/

Source

• Agent Skill Exchange