Metadata-Version: 2.0
Name: csvbar
Version: 1.1
Summary: Draw bar graphs from CSV files in the terminal.
Home-page: https://github.com/tbij/csvbar
Author: Max Harlow
Author-email: maxharlow@tbij.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 :: 3.2
Classifier: Programming Language :: Python :: 3.3
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:

```csv
Donor,Value
Friendly Society,49428.84
Limited Liability Partnership,96122.93
Other,233016.58
Registered Political Party,333058.01
Unincorporated Association,2656919.98
Company,3266514.88
Individual,10191197.0
Trade Union,42328877.05
```

You can then:

```bash
$ csvbar data.csv

Friendly Society               ▌ 49,428.84
Limited Liability Partnership  ▌ 96,122.93
Other                          ▌ 233,016.58
Registered Political Party     ▌ 333,058.01
Unincorporated Association     ███ 2,656,919.98
Company                        ███ 3,266,514.88
Individual                     ████████████ 10,191,197.00
Trade Union                    ██████████████████████████████████████████████████ 42,328,877.05

```

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


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)


