pd-multiprocessing 1.0.4

pd_multiprocessing provides a simple, parallelized function to apply a user defined function rowwise on a Pandas Dataframe.

pd_multiprocessing

pd_multiprocessing provides a simple, parallelized function to apply a user defined function rowwise on a Pandas Dataframe.

Requirements

• pandas 0.22.0+
• pytest 3.4.1+

Documentation

If you want to build the documentation, you need the following packages:

• Sphinx
• sphinx_rtd_theme
• m2r

Installation

You can easily install pd_multiprocessing via

pip install pd-multiprocessing

Usage

A typical usage looks like this

import pandas as pd
from pd_multiprocessing.map import df_map


def twotimes(row):
    row['col2'] = row['col1']*2
    return row


if __name__ == '__main__':
    df = pd.DataFrame.from_dict({'col1': range(100)})
    print(df_map(twotimes, df))