Metadata-Version: 2.0
Name: csvbar
Version: 1.4
Summary: Draw bar graphs from CSV files in the terminal.
Home-page: https://github.com/maxharlow/csvbar
Author: Max Harlow
Author-email: maxharlow@gmail.com
License: Apache
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Utilities

CSV Bar
=======

Draw bar charts from CSV files in the terminal.

Requires either version 2 or 3 of [Python] (https://www.python.org/), including `pip`.


Installing
----------

Install with Pip: `pip install csvbar`.


Usage
-----

Say you have a CSV file such as:

```
Donor,Value
Trust,93167.74
Limited Liability Partnership,100522.93
Friendly Society,111428.84
Registered Political Party,382227.01
Unincorporated Association,2846016.31
Company,3696180.22
Individual,11021726.04
Trade Union,44483505.54
```

You can then:

```bash
$ csvbar data.csv

Trust                          ▌ 93,167.74 (0.15%)
Limited Liability Partnership  ▌ 100,522.93 (0.16%)
Friendly Society               ▌ 111,428.84 (0.18%)
Registered Political Party     ▌ 382,227.01 (0.61%)
Unincorporated Association     ███ 2,846,016.31 (4.54%)
Company                        ████ 3,696,180.22 (5.89%)
Individual                     ████████████ 11,021,726.04 (17.57%)
Trade Union                    ██████████████████████████████████████████████████ 44,483,505.54 (70.91%)

Total: 62,734,774.63
```

It also accepts data on STDIN, useful if you're using something like [CSV Kit] (https://github.com/onyxfish/csvkit) or [Q] (https://github.com/harelba/q).


Inspiration
-----------

There are similar tools:

 * [data_hacks] (https://github.com/bitly/data_hacks), by [Bitly] (https://bitly.com/)
 * [termgraph] (https://github.com/mkaz/termgraph), by [Marcus Kazmierczak] (https://twitter.com/mkaz)
 * [spark] (https://github.com/holman/spark), by [Zach Holman] (https://twitter.com/holman)


