To make a density map from a 2D set of data, the first step is to compute values for the third dimension. (Gnuplot has no facilities for computing these values automatically.) The simplest way is to make a 2D histogram; the plot is divided in small 2D regions, and the z-values are proportional to the number of points inside these regions. The following Python script will make an histogram from a time series of two dihedral angles.
Often when working on microcontroller projects you need a background function to run at regular intervals. This is often done by setting up a hardware timer to
Features
* Easy to use Python API
* Flexible data import options
* Scalable
* Built-in reports
* Built-in data export capabilities
* Open source - easily extended
* Fast processing time (efficient use of graph algorithms)
This routine will take an 8 bit integer that corresponds to the numerator of a fraction whose denominator is 256 and find its arctangent. So the input ranges from 0 to 255 which corresponds to 0 to 255/256 = 0.996 . The output for an arctangent routine that returns a floating point number would be from 0 (atan(0)) to 0.783 (atan(255/256)) radians; or if you prefer, 0 to 44.89 degrees. However, this routine scales the output so that pi/4 radians (or 45 degrees) corresponds to 256. So for the input range of 0 to 255 you get an output of 0 to 255 ( atan(255/256) * 256 / (pi/4) is about 255). It's probably a little more interesting to see an intermediate data point or two:
In this article I will present some configuration tips for the Spring MVC framework that could help you manage multiple instances of your Spring-based web application. T
S. Ahmad, A. Battle, Z. Malkani, and S. Kamvar. Proceedings of the 24th annual ACM symposium on User interface software and technology, page 53--64. New York, NY, USA, ACM, (2011)