Kungfu pandas

Set of functions that help you work with pandas dataframes. Docs are in here.

Basic example

import pandas as pd
from kungfu_pandas import count

df = pd.DataFrame({
        'x': [1, 2, 3, 0, 0, 1],
        'group': ['a', 'a', 'a', 'b', 'b', 'b']
})

(
    df
    .pipe(count, by='group')
)

This is what we get back:

  group  n
0     a  3
1     b  3

Features

Functions in this library are:

• count: To easily count number of rows per group.
• mask: To filter by applying a function on a row.
• agg_by_col: To perform aggregations on a column grouping by another column.
• case_when: Create a new series based on a series of case when statements.

Installation

You can install this package via pip.

pip install kungfu_pandas

Contributing

To get started locally, you can clone the repo and quickly get started using the Makefile.

git clone [email protected]:david26694/kungfu_pandas.git
cd kungfu_pandas
make install-dev