Metadata-Version: 1.0
Name: copper
Version: 0.0.2
Summary: Tools for doing data analysis, exploration and machine learning in python using pandas and scikit-learn. Graphics in matplotlib and D3.js
Home-page: http://pypi.python.org/pypi/Copper/
Author: Daniel Rodriguez
Author-email: df.rodriguez143@gmail.com
License: LICENSE.txt
Description: copper
        ======
        
        More information: [https://github.com/danielfrg/copper](https://github.com/danielfrg/copper)
        
        Wrapper around pandas & scikit-learn for doing Data Analysis in python
        
        Requirements
        ------------
        
        1. Python
        2. **pandas**
        3. scikit-learn
        4. matplotlib
        5. tornado
        
        Note: pandas is the only package that is required before installing copper, but is
        recommended to have all other packages installed too.
        
        Note 2: The package is developed for Python 3 and Python 2 with a single code base. But the main target is Python 3 so is recommended since most packages already support Python 3.
        
        Install
        -------
        
        `pip install copper`
        
        Features
        --------
        
        1. Project structure for Data Analysis projects ala [Project Template](http://www.johnmyleswhite.com/notebook/2010/08/26/projecttemplate/) on R.
        2. Dataset: Wrapper around pandas.DataFrame to introduce metadata
        3. Data transformation templates
        4. Custom matplotlib charts for exploration: histograms, scatterplots
        5. Exploration via D3.js (very experimental)
        6. More data imputation options via R (rpy2)
        7. Rapid Machine Learning prototyping:
            * Easy to compare classifiers
            * Ensemble (bagging)
        
        More information: [https://github.com/danielfrg/copper](https://github.com/danielfrg/copper)
        
Platform: UNKNOWN
