semvec/pypi-packages huggingface dataset:
text_histogram 0.0.7
A dependency-free library to quickly make ascii histograms from data.
License: Apache License, Version 2.0

text_histogram
==============

|version| |downloads|

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
over ssh. Don't even get me started on installing them.

`Bit.ly's data_hacks <https://github.com/bitly/data_hacks>`_ histogram.py is
great but difficult to use from python code directly (it requires an
``optparse.OptionParser`` to pass histogram options). This is 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 text_histogram


Source: 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