How to modify data granularity in Python for Graphing data in Matplotlib or another application
This tutorial video covers how to modify your data granularity. Granularity in graphs refers to the level of detail they contain. Usually, the higher the granularity, the better the quality of the data is. That said, once you pass a certain point, say 10,000 plots on a single graph, the eye can not tell the difference and processing is wasted. Instead, developers should program into their applications granularity adjustments depending on the window that a user is looking.
This will show you how to modify how many plots are actually shown on the graph, by averaging them in groups and only plotting up those averages. This will allow you to plot high granularity data sets without waiting for an hour for them to actually generate! They are not moving averages, so there is not lag in the line either, and all data is calculated backwards.
Sample code and sample data can be found: http://pythonprogramming.net/modifyin...
Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex
On this page of the site you can watch the video online How to modify data granularity in Python for Graphing data in Matplotlib or another application with a duration of hours minute second in good quality, which was uploaded by the user sentdex 29 November 2013, share the link with friends and acquaintances, this video has already been watched 6,562 times on youtube and it was liked by 15 viewers. Enjoy your viewing!
