Metadata-Version: 2.1
Name: klib
Version: 0.0.62
Summary: Customized data preprocessing functions for frequent tasks.
Home-page: https://github.com/akanz1/klib
Author: Andreas Kanz
Author-email: andreas@akanz.de
License: UNKNOWN
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: matplotlib (>=2.1.2)
Requires-Dist: numpy (>=1.13.3)
Requires-Dist: pandas (>=1.0.0)
Requires-Dist: seaborn (>=0.1.0)

# klib

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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 # tools for visualizing datasets
- klib.corr_plot() # returns a color-encoded heatmap, ideal for correlations
- klib.missingval_plot() # returns a figure containing information about missing values

klib.clean # tools for cleaning datasets
- klib.data_cleaning() # perform initial datacleaning on a dataset
- klib.convert_datatypes() # converts existing to more efficient dtypes, also called in ".data_cleaning()"
- klib.drop_missing() # drops missing values, also called in ".data_cleaning()"
```

## Contributing

Pull requests and ideas are welcome. For major changes or feedback, please open an issue first to discuss what you would like to change.

## License

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


