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Utilities to pack and unpack pandas DataFrames

Project description

framezip

A lightweight Python module for packing and unpacking pandas DataFrames by grouping rows into list-aggregated columns and exploding them back into individual rows.


Features

  • Pack rows sharing common keys into a single row with list-aggregated columns.
  • Unpack those list columns back into multiple rows.
  • Flexible column referencing by name or integer index.

Installation

Make sure you have pandas installed:

pip install framezip

Use Cases

  • Aggregate user sessions or grouped events into compact representations.
  • Compress DataFrame rows for efficient storage or transfer.
  • Switch easily between grouped (packed) and row-wise (unpacked) views.
  • Prepare data for modeling or reporting workflows requiring different granularities.

Notes

  • Accepts column indices or names for flexibility.
  • Uses pandas groupby().agg(list) and explode() for performance.
  • Requires pandas version 0.25 or later (for explode() support).

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