Description:

pirrtools 0.2.13

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

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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