Metadata-Version: 2.1
Name: klib
Version: 0.0.64
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
Description: # klib
        
        [![Python package](https://github.com/akanz1/klib/workflows/Python%20package/badge.svg)](https://github.com/akanz1/klib)
        [![PyPI Version](https://img.shields.io/pypi/v/klib)](https://pypi.org/project/klib/)
        [![Language](https://img.shields.io/github/languages/top/akanz1/klib)](https://pypi.org/project/klib/)
        [![Downloads](https://img.shields.io/pypi/dw/klib)](https://pypi.org/project/klib/)
        [![Last Commit](https://img.shields.io/github/last-commit/akanz1/klib)](https://github.com/akanz1/klib)
        [![Activity](https://img.shields.io/github/commit-activity/m/akanz1/klib)](https://github.com/akanz1/klib)
        [![Code Quality](https://scrutinizer-ci.com/g/akanz1/klib/badges/quality-score.png?b=master)](https://github.com/akanz1/klib)
        [![License](https://img.shields.io/pypi/l/klib)](https://github.com/akanz1/klib/blob/master/LICENSE)
        
        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()"
        ```
        
        ## Examples
        
        ```python
        klib.corr_plot(df, split='pos') # displaying only positive correlations
        ```
        
        <p align="center"><img src="/images/example_corr_plot.png" alt="Corr Plot Example" width="720" height="655"></p>
        
        ```python
        klib.missingval_plot(df) # default representation of missing values in a DataFrame
        ```
        
        <p align="center"><img src="/images/example_mv_plot.png" alt="Corr Plot Example" width="720" height="792"></p>
        
        ## 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/)
        
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
