Metadata-Version: 2.1
Name: klib
Version: 0.0.54
Summary: Frequently used data preprocessing functions
Home-page: https://github.com/akanz1/klib
Author: Andreas Kanz
Author-email: andreas@akanz.de
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# klib

[![PyPI Version](https://img.shields.io/pypi/v/klib)](https://pypi.org/project/klib/)
[![License](https://img.shields.io/pypi/l/klib)](https://github.com/akanz1/klib/blob/master/LICENSE)
[![Downloads](https://img.shields.io/pypi/dd/klib)](https://pypi.org/project/klib/)
[![Language](https://img.shields.io/github/languages/top/akanz1/klib)](https://pypi.org/project/klib/)
[![Last Commit](https://img.shields.io/github/last-commit/akanz1/klib)](https://pypi.org/project/klib/)
[![Activity](https://img.shields.io/github/commit-activity/m/akanz1/klib)](https://github.com/akanz1/klib)


klib is a Python library for importing, cleaning, analyzing and preprocessing data. Future versions will include model creation and optimization to provide an end-to-end solution.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install klib.

```bash
pip install klib
pip install --upgrade klib
```

## Usage

```python
import klib

# klib.describe() # ...
klib.corr_plot() # returns a color-encoded matrix, ideal for correlations
klib.missingval_plot() # returns a figure containing information about missing values

# Coming soon:
# klib.ingest() # ...
# klib.clean() # ...
# klib.preprocess() # ...
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)

