Metadata-Version: 2.1
Name: inkrement
Version: 0.0.1
Summary: Incremental data visualization in python
Home-page: https://github.com/Ecboxer/inkrement
Author: Eric Boxer
Author-email: ecb2198@columbia.edu
License: UNKNOWN
Description: Inkrement
        =========
        
        Inkrement provides tools for incremental data analysis. You might find it most useful when the questions you have can be answered from a subset of your data. The tools may also be useful in determining if a partial view of your data can be used to draw conclusions, ie are differences in your data by orders of magnitude or is your data fairly homogeneous.  
        
        Typical usage often looks like this:
        
            #!usr/bin/env python
        	
        	import inkrement
        	
        	import numpy as np
        	
        	x = np.random.normal(0, 1, 1000)
        	y = np.random.normal(0, 1, 1000)
        	
        	inkrement.plot_lag(x, y, 10, 53, 8)
        	
        Output looks like this:  
        
        ![Example Plot](https://github.com/Ecboxer/inkrement/blob/master/docs/testplot.png)
        	
        Summary
        =======
        
        Matplotlib wrapper for incremental data visualization in python
        
        Requirements
        ============
        
        Matplotlib
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
