Metadata-Version: 2.1
Name: eda-viz
Version: 0.0.6.1
Summary: Light-weight Python EDA and Visualization Library for Data Scientists
Home-page: https://github.com/ajaymaity/eda-viz
Author: Ajay Maity
Author-email: eda.viz.py@gmail.com
License: MIT
Description: # EDA and Visualization Library
        [![Build Status](https://travis-ci.com/ajaymaity/eda-viz.svg?branch=master)](https://travis-ci.com/ajaymaity/eda-viz)
        [![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/ajaymaity/eda-viz/blob/master/LICENSE)
        
        Light-weight Python EDA and Visualization Library for Data Scientists.
        
        The `eda_viz` module is a light-weight library that will make your data 
        exploration and visualization tasks lot simpler.
        
        ## Installation
        
        You can install `eda-viz` from PyPI:
        
        ```buildoutcfg
        pip install eda-viz
        ```
        
        The library is only tested in Python 3.6.5, and on Mac OS v10.13.6.
        
        ## How to use
        
        Let's create a sample dataframe:
        
        ```buildoutcfg
        import pandas as pd
        df = pd.DataFrame({
            'categories': ['A', 'B', 'A', 'C', 'D', 'B', 'A'],
            'numbers': [1, 2, 1, 3, 4, 2, 1]
        })
        ```
        
        ### Column Distribution
        
        ```buildoutcfg
        from eda_viz.viz import column_distribution
        column_distribution(df['categories'])
        ```
        
        ![Column Distribution](https://raw.githubusercontent.com/ajaymaity/eda-viz/master/images/example-column-distribution.png)
        
        ### Histogram
        
        ```buildoutcfg
        from eda_viz.viz import histogram
        histogram(df['numbers'])
        ```
        
        ![Histogram](https://raw.githubusercontent.com/ajaymaity/eda-viz/master/images/example-histogram.png)
        
        ### Bar Plot
        
        ```buildoutcfg
        from eda_viz.viz import bar_plot
        bar_plot(df['categories'], df['numbers'])
        ```
        
        ![Bar Plot](https://raw.githubusercontent.com/ajaymaity/eda-viz/master/images/example-bar-plot.png)
        
        Other charts are a WIP.
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
