https://github.com/fburic/panda-grove

A lightweight package to manage multiple Pandas DataFrame
https://github.com/fburic/panda-grove

data-analysis data-science data-wrangling pandas

Last synced: 3 days ago
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A lightweight package to manage multiple Pandas DataFrame

• Host: GitHub
• URL: https://github.com/fburic/panda-grove
• Owner: fburic
• License: bsd-3-clause
• Created: 2021-10-21T21:10:42.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-01-02T16:47:30.000Z (over 2 years ago)
• Last Synced: 2024-08-10T08:16:49.606Z (almost 2 years ago)
• Topics: data-analysis, data-science, data-wrangling, pandas
• Language: Python
• Homepage: https://panda-grove.readthedocs.io
• Size: 56.6 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          


  




Panda Grove


-----------------

A lightweight package for easier management of multiple Pandas DataFrames

during data analysis and exploration.

The philosophy of Panda Grove is to assist without getting in the way or

creating yet another API on top of Pandas.

It also depends exclusively on the Pandas package for minimal overhead.

## Feature Highlights

* :ballot_box_with_check: Multi-merges (merge across multiple DataFrames at once)

* :ballot_box_with_check: `Collection` class to encapsulate and manage multiple DataFrames

* :ballot_box_with_check: DataFrame sanity checks

* :black_square_button: Support all types of joins (currently only inner join)

* :black_square_button: Datatype management (work in progress)

## Installation

Install the PyPI package:

```shell

pip install panda-grove

```

## Requirements

- python >= 3.7

- pandas >= 1.1.0

- IPython >= 7 is not required but will add pretty printing in Jupyter notebooks