pirrtools

I find them useful

Description

pirrtools is a set of bespoke tools I wanted preserved in a library. It provides various utilities, with a key feature being a pandas accessor that enables caching of usually non-conforming datasets.

Features

• Pandas Accessor: Easily cache and load pandas DataFrames and Series, even those with non-conforming datasets.

Requirements

• Python 3.6 or greater
• pandas
• feather-format

Installation

Install pirrtools using pip:

pip install pirrtools

Usage

import pirrtools as pirr
import pandas as pd

# Create a DataFrame
df = pd.DataFrame(1, range(10), ['a', 'b', 'c']).rename_axis('N')

# Cache the DataFrame
df.pirr.to_cache('name_of_cache_path')

# Load the cached DataFrame
loaded_df = pirr.load_cache('name_of_cache_path')

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Authors

• Sean Smith