Welcome

Welcome to MetaFrame: MetaData DataFrame for pandas!

Overview

MetaFrame is a pandas-compatible DataFrame designed for tables where metadata matters:

• experimental layouts
• reporting tables
• scientific matrices
• annotated spreadsheets
• any dataset where rows, columns, and groups carry meaning beyond their values.

Where pandas treats metadata as MultiIndex, MetaFrame treats MetaData as DataFrame, hence the project name: MetaFrame.

What MetaFrame is for

• DataFrames meant for human consumption (reports, Excel)
• Rich row/column metadata
• Multi‑layer headers that should stay readable
• Datasets where metadata must survive filters, slicing, exporting, and reshaping

MetaFrame is a set of QoL improvements for managing metadata as row and/or column in a pandas DataFrame.

What MetaFrame is not for

• Replacing pandas
• Faster computation
• Better memory consumption