Thanks, this does look like a bug. I can reproduce it in a Python/Jython rewrite of your code:

from jhplot import *

xValues=[1,2,3,4,5]

# does not work
test = [1.04999999999961,1.04999999999961,1.0499999999996101,1.04999999999961,1.04999999999961]
# works
test = [1.049999961,1.049999961,1.049999961,1.049999961,1.049999961]

testP1D = P1D("test");
testP1D.fill(xValues, test);
       
# Plot it using autorange (which crashes) or manual axes (which doesn't). Comment out the relevant lines.
actualPlot = HPlot("test");
actualPlot.visible()
actualPlot.setAutoRange()
# actualPlot.setRangeAll(0, 6, 1.049999999999, 1.05);
actualPlot.draw(testP1D);

This sequence of numbers is really remarkable: just by  changing it a bit, the auto-range works again!
We need to look into this

cheers, Sergei

I've found a problem with setAutoRange() in HPlot where it crashes if plot values are too similar. The example code below shows up the problem. I found that I could avoid the problem by manually setting the range but wanted to flag it up anyway so someone can look into it in the distributed code. It's a bit strange this one, and doesn't seem to happen at all values, even with the same gap. I am using jHepWork version 3.3.

Thanks,

Andrew

Example code:

    public static void main(String[] args) {

        // Set values. Strange numbers in test are simply because they're the ones I found the problem with.
        double[] xValues={1,2,3,4,5};
        double[] test = {1.04999999999961,1.04999999999961,1.0499999999996101,1.04999999999961,1.04999999999961};

        // Fill P1d
        P1D testP1D = new P1D("test");
        testP1D.fill(xValues, test);
       
        // Plot it using autorange (which crashes) or manual axes (which doesn't). Comment out the relevant lines.
        HPlot actualPlot = new HPlot("test", 1280, 1024);
        actualPlot.setAutoRange();
//        actualPlot.setRangeAll(0, 6, 1.049999999999, 1.05);
        actualPlot.draw(testP1D);
        actualPlot.visible();
    }

jHepWork 3.3 is released. This release features high-performance containers (P0I,P0D,P1D,P2D) which are about factor 5-10 faster than the Java collections  or Python lists. It also includes a new 3D canvas, HPlot3XYZ, as well as an interactive fit engine.

admin

best, Sergei C.

may I have a question (hope this is the right place since you've mentioned something about different plot styles). I'd like to know if there's a way to create a polar plot using jHepWork, for example similar to those in ROOT (see link: http://root.cern.ch/root/html/tutorials … lar.C.html )

Thanks in advance
Krzysztof

It happened earlier due to a bug which led to failures to start IDE on some platforms (Linux/Unix, Window XP).
Now it is fixed.

http://jwork.org/jhepwork/download/jhepwork-3.2.txt

Main features include:
 

• Symbolic (analytic) calculations can be done in Java or Jython

• Analytical calculation (Octave/matlab files) can be executed using the same "run" button as for jython/BeanShell/Java code.
      Also F8 can run matlab/octave code.

• [Help]->[jHepWork help] starts default browser with online manual. We do not include static manual with the application.

• Putting together the major financial Java packages.

• All API links redirected to Oracle API

• Symbolic calculations (simplify, integrate, expansion, differential). See jhplot.math.Symbolic

• HPlotter canvas - will use Jas/Aida style of plotting

Documentation:
  Contains description for analytic calculations
  Description for financial calculations

Thanks. This does look like an error in the implementation but we will need to look at.

For now, please use several other implementations:

cern.jet.random.Binomial

or

umontreal.iro.lecuyer.randvar.BinomialGen

or

org.apache.commons.math.distribution.BinomialDistributionImpl

See details in : http://jwork.org/jhepwork/api_extra/

best wishes, Sergei