Hi.
I would like to introduce my usage of Matplotlib...
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Gridspy provides you with an interactive view of resource usage in your building. It gives you hard data on your consumption patterns and helps you to make informed decisions.
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The Gridspy allows you to access and monitor your consumption patterns in real-time using a standard web browser on your PC, laptop or mobile phone. The data is presented in high resolution and updated each second as you watch. The moment a light is turned on in your house, you can see the change on your Gridspy dashboard from across the room or across the planet.
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We use Matplotlib to prepare graphs in PNG format that form an essential part of our dashboard here (it loads nice and fast, trust me):
http://your.gridspy.co.nz/powertech/
The blog discusses our Python Twisted backend, and other stuff:
http://blog.gridspy.co.nz/
Finally you can follow my progress as I take this product to market on twitter:
http://www.twitter.com/gridspy/
It has been a fantastic system to work with, and it was easy to generate beautiful and meaningful graphs. Thanks to everyone who has made this possible!
What is everyone else working on?
-Tom