The simplest way to create complicated functions including special function is to call external Java
libraries. You can use any Java library in the function definitions, mixing freely Java and Python code (or any other scripting language).
Here is a small example that creates 1-erf(x) function from
Apache math3.special package.
to define the “erf” function.
from jhplot import * from org.apache.commons.math3.special.Erf import * class MyFunc(FNon): def value(self, x): return 1-erf(x) c1 = HPlot() c1.visible(); c1.setAutoRange() pl = MyFunc("function",1,0) f1=F1D(pl,-4,4) c1.draw(f1)
The function “erf” is taken from
Erf Java class.
Here “MyFunc” is a class that defines a new function (1-erf) and returns its values.
x defines “x” (0 means one-dimensional function). You can also define functions in multiple
dimensions using x, x, x etc. notations.
The output of this script is shown in this plot:
The above approach works only for Jython/Python codding. A more general approach is
to call Java directly and extend the class
that is a pure-Java approach, as in the above example. In this case you can create not only Python
scripts, but also write code in pure Java, or mix Java, Groovy and JRuby.
Look at the section Non-parametric functions for more details.
Here is a short list of special functions supported by SCaVis:
In addition, SCaVis supports distribution functions: