pd-multiprocessing 1.0.2

Simple function to parallelize the mapping function of Pandas DataFrame

pd_multiprocessing

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

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))