Metadata-Version: 2.1
Name: eda-viz
Version: 0.0.2
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
        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.
        
        Currently, the library only supports Pandas DataFrame.
        
        ## 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
        
        To plot `column_distribution`, you can use the following example:
        
        ```buildoutcfg
        import pandas as pd
        from eda_viz.viz import column_distribution
        
        df = pd.DataFrame({
            'categories': ['A', 'A', 'B', 'C', 'A', 'B']
        })
        column_distribution(df['categories'])
        ```
        
        which will plot the following chart:
        
        ![Column Distribution Chart](images/example_column_distribution.png?raw=true "Column Distribution Chart")
        
        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
