https://github.com/gsmafra/sklearn-dummies

Scikit-learn label binarizer with support for missing values
https://github.com/gsmafra/sklearn-dummies

data-science machine-learning pandas python scikit-learn

Last synced: about 1 month ago
JSON representation

Scikit-learn label binarizer with support for missing values

• Host: GitHub
• URL: https://github.com/gsmafra/sklearn-dummies
• Owner: gsmafra
• License: mit
• Created: 2017-02-20T23:02:42.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T01:30:54.000Z (about 2 years ago)
• Last Synced: 2024-11-15T10:52:58.796Z (2 months ago)
• Topics: data-science, machine-learning, pandas, python, scikit-learn
• Language: Python
• Size: 40 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
[](http://readthedocs.org/projects/sklearn-dummies/)

[![CircleCI](https://circleci.com/gh/gsmafra/sklearn-dummies.svg?style=shield)](https://circleci.com/gh/gsmafra/sklearn-dummies)

[![codecov](https://codecov.io/gh/gsmafra/sklearn-dummies/branch/master/graph/badge.svg)](https://codecov.io/gh/gsmafra/sklearn-dummies)

[![Requirements Status](https://requires.io/github/gsmafra/sklearn-dummies/requirements.svg?branch=master)](https://requires.io/github/gsmafra/sklearn-dummies/requirements/?branch=master)

# sklearn-dummies

Scikit-learn label binarizer with support for missing values

## Usage example

```

import pandas as pd

import sklearn_dummies as skdm

df = pd.DataFrame(['A', 'B', None, 'A'], columns=['val'])

df_dummy = skdm.DataFrameDummies().fit_transform(df)

```

Result:

|     | val_A | val_B |

| --- |:-----:|:-----:|

| 0   |   1.0 |   0.0 |

| 1   |   0.0 |   1.0 |

| 2   |   NaN |   NaN |

| 3   |   1.0 |   0.0 |

## Installing

Sklearn-dummies is available in [PyPI](https://pypi.python.org/pypi/sklearn_dummies). Install via pip:

```

pip install sklearn_dummies

```

## Docs

[They're here](http://sklearn-dummies.readthedocs.io/en/latest/index.html)