Metadata-Version: 2.1
Name: datetransform
Version: 0.2.0
Summary: Feature engineering for dates
Home-page: https://www.github.com/brandonschabell/datetransform
Author: Brandon Schabell
Author-email: brandonschabell@gmail.com
License: MIT
Download-URL: https://github.com/brandonschabell/datetransform/archive/v0.2.0.tar.gz
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Utilities
Requires-Python: ~=3.5
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Provides-Extra: tests
Requires-Dist: pytest (>=5.4.1) ; extra == 'tests'

# datetransform
Feature engineering for dates

[![PyPI version](https://badge.fury.io/py/datetransform.svg)](https://badge.fury.io/py/datetransform)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/datetransform.svg)](https://pypi.python.org/pypi/datetransform/)
[![Build Status](https://travis-ci.com/brandonschabell/datetransform.svg?branch=master)](https://travis-ci.com/brandonschabell/datetransform)
[![codecov](https://codecov.io/gh/brandonschabell/datetransform/branch/master/graph/badge.svg)](https://codecov.io/gh/brandonschabell/datetransform)

## Installation
`datetransform` requires Python 3.5+.

```bash
pip install datetransform
```

## Example Usage
```python
from datetransform.transform import add_date_features
import pandas as pd

df = pd.read_csv('someFile.csv')
df = add_date_features(df, date_field_name='dateCol')  # This dataframe now contains additional date features.
```

