https://github.com/foxbunny/pycmatrix

Color matrix graph script for Python
https://github.com/foxbunny/pycmatrix

Last synced: 28 days ago
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Color matrix graph script for Python

• Host: GitHub
• URL: https://github.com/foxbunny/pycmatrix
• Owner: foxbunny
• Created: 2011-03-07T09:57:44.000Z (almost 14 years ago)
• Default Branch: master
• Last Pushed: 2011-03-07T10:18:47.000Z (almost 14 years ago)
• Last Synced: 2023-03-10T22:13:40.918Z (almost 2 years ago)
• Language: Python
• Homepage:
• Size: 97.7 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.mkd

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README

        
# pyCMatrix

Color matrix graphing script for Python.

## What it does

Color matrix is a graph consisting of multiple rectangles (or any other shape)

arranged into a matrix, and colored according to values in the matrix cells.

The pyCMatrix script uses data from a user-supplied CSV file and outputs a SVG

file of the color matrix.

## How to use

If you are happy with the defaults, just put a CSV file named ``matrix.csv`` in

the same directory as the script file, and run the script. When the script is

finished, you will get a SVG file called ``matrix.svg`` next to your CSV file.

If you want to tweak the colors, edit the ``matrix.ini`` file. All options in

the configuration file are documented there.

## Dependencies

pyCMatrix uses [pySVG](http://codeboje.de/pysvg/). You will need it from 

[Google code repository](http://code.google.com/p/pysvg/downloads/list) and 

install it before you can use pyCMatrix. This script works with version

0.2.1 of pySVG.

Of course, you need Python as well. I've tested the script with version 2.6.6.

It should work with most version that pySVG works with.

## License

This script is provided as is with no warranties whatsoever, to the extent 

allowed by relevant laws. In other words, although I believe the script works

I cannot guarantee it won't break something, and I don't take responsibility

for that.

You may use this script for both commercial and non-commercial purposes. If 

you _publish_ modified copies of _this script_, you must point your users to

the original script (on GitHub), and notify me about it. If you are publishing

a binary-only version (byte-compiled or otherwise), you must send me the 

modified source code in plain-text format _and_ tell your users how to get the

original unmodified source code. Other than that, you can do whatever you want, 

sell it, copy, use on any number of CPUs, etc, etc.