Metadata-Version: 1.1
Name: text_histogram
Version: 0.0.6
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`_ |version| |downloads|
        =======================================
        
        Histograms are great. This is `Bit.ly's data_hacks
        <https://github.com/bitly/data_hacks>`_ histogram.py repackaged for convenient
        script use.
        
        ::
        
            >>> 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
        ============
        
        .. code:: bash
        
            $ pip install data_hacks
        
        Why?
        ====
        
        Histograms are great for exploring data, but numpy and matplotlib are heavy and
        overkill for quick analysis. They also can't be easily used on remote servers or
        over ssh. Don't even get me started on installing them.
        
        `data_hacks`_ is pretty great, but difficult to use from python code directly
        because it requires an ``optparse.OptionParser`` to pass histogram options.
        
        .. _data_hacks: https://github.com/bitly/data_hacks
        .. _text_histogram: https://github.com/Kobold/text_histogram
        
        .. |downloads| image:: https://pypip.in/d/text_histogram/badge.png
           :target: https://pypi.python.org/pypi/text_histogram
           :alt: Number of PyPI downloads
        .. |version| image:: https://badge.fury.io/py/text_histogram.png
           :target: http://badge.fury.io/py/text_histogram
           :alt: PyPI version
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Topic :: Terminals
