Metadata-Version: 2.1
Name: panda-grove
Version: 0.1
Summary: Convenience wrappers for Pandas DataFrame collections and operations
Home-page: 
Author: Filip Buric
Author-email: 
License: UNKNOWN
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Database
Classifier: Topic :: Scientific/Engineering 
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Panda Grove :bamboo:

A lightweight package for easier management of multiple Pandas DataFrames.

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.

![AppVeyor tests](https://img.shields.io/appveyor/tests/fburic/panda-grove?color=brightgreen)

## 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: Datatype management (work in progress)


## Installation

Install the package with `pip` in
[editable](https://pip.pypa.io/en/stable/cli/pip_install/#editable-installs)
mode from the repo:

```shell
pip install -e git+ssh://github.com/fburic/panda-grove.git#egg=panda-grove
```

**TODO** 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


