Metadata-Version: 1.1
Name: text-histogram
Version: 0.0.4
Summary: A dependency-free library to quickly make ascii histograms from data.
Home-page: https://github.com/Kobold/text_histogram
Author: Andy Kish, Jehiah Czebotar
Author-email: agkish@gmail.com
License: Apache License, Version 2.0
Description: ==============
        text_histogram
        ==============
        
        Histograms are great. This is `Bit.ly's data_hacks
        <https://github.com/bitly/data_hacks>`_ histogram.py repackaged for convenient
        script use.
        
        .. image:: https://pypip.in/d/text_histogram/badge.png
            :target: https://pypi.python.org/pypi/text_histogram
            :alt: Number of PyPI downloads
        
        Usage
        =====
        
        ::
        
            >>> from text_histogram import histogram
            >>> import random
            >>> histogram([random.gauss(50, 20) for _ in xrange(100)])
            # NumSamples = 100; Min = 1.42; Max = 87.36
            # Mean = 51.848095; Variance = 332.055832; SD = 18.222399; Median 53.239251
            # each ∎ represents a count of 1
                1.4221 -    10.0159 [     3]: ∎∎∎
               10.0159 -    18.6098 [     3]: ∎∎∎
               18.6098 -    27.2036 [     6]: ∎∎∎∎∎∎
               27.2036 -    35.7974 [     4]: ∎∎∎∎
               35.7974 -    44.3913 [    17]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
               44.3913 -    52.9851 [    16]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
               52.9851 -    61.5789 [    17]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
               61.5789 -    70.1728 [    20]: ∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎∎
               70.1728 -    78.7666 [     8]: ∎∎∎∎∎∎∎∎
               78.7666 -    87.3604 [     6]: ∎∎∎∎∎∎
        
        
        Installation
        ============
        
        ::
        
            $ pip install data_hacks
        
        Why?
        ====
        
        Histograms are great for exploring data, but numpy and matplotlib are heavy and
        overkill for quick analysis. Don't even get me started on installing them.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Topic :: Terminals
