http://jwork.org/jhepwork/wikidoc/ 2010-09-07T07:05:18-06:00 http://jwork.org/jhepwork/wikidoc/ http://jwork.org/jhepwork/wikidoc/lib/images/favicon.ico text/html 2010-05-14T17:58:35-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=analytical&rev=1273881515&do=diff Symbolic calculations using SymbolicShell jHepWork IDE contains “SymbolicShell”, which is Jasymca-based calculator for symbolic calculations which originally developed by Helmut Dersch. Click on the tab “SymbolicShell” and look at the demo (type “demo”). It is a rather poweful calculator which can be used for symbolic (and numeric) integration, differentiation, solving linear and non-linear equations, plotting functions and much more. text/html 2010-03-07T16:25:59-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=book&rev=1268004359&do=diff This is a short tutorial on how to use jHepWork for scientific data analysis. A complete description of how to use Java, Jython and jHepWork for scientific analysis is described in the book Scientific data analysis using Jython and Java (to be published by [<http://www.springer.com/> Springer Verlag]) by S.V.Chekanov text/html 2010-03-20T20:05:14-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=clustering&rev=1269137114&do=diff jHepWork contains a framework for clustering analysis, i.e. for non-supervised learning in which the classification process does not depend on a priory information. It includes the following algorithms: * K-means clustering analysis (single and multi pass) * C-means (fuzzy) algorithm * Agglomerative hierarchical clustering text/html 2010-05-28T10:19:37-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=contributions&rev=1275063577&do=diff jHepWork is based on many reused JAVA classes that have been rewritten and adopted such that they can fit to the jHepWork concept of the Java scripting, rather than their original GUI or macro driven concept. Usually, this means that all packages were refactored and are complemented with their own high-level classes to be called from Jython (or BeanShell). text/html 2010-03-25T22:10:30-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=datamining&rev=1269576630&do=diff Read the book "Scientific data analysis using Jython scripting and Java for more details. text/html 2010-07-09T20:19:27-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=datastructures&rev=1278728367&do=diff The native Java data containers Read Java Collection tutorial Jython/Python data containers Read Python data structures tutorial jHepWork data containers The jHepWork data containers are designed for scientific data analysis and are well suited for data manipulation, input/output and data representation using various canvaces. text/html 2010-03-28T22:45:08-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=diagrams&rev=1269837908&do=diff Drawing shapes programmically Using jHepWork canvases, one can draw lines, arrows, ovals, interactive labels. One can use the same canvas as for plotting data and functions. For example, use the canvas HPlot. One can add objects using the method “add” and the call “update()” method to draw all objects at once: text/html 2010-07-03T01:20:43-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=disclaimer&rev=1278141643&do=diff The author makes no warranties, express or implied, that the programs contained in this tutorial are free of errors, or are consistent with any particular standard of merchantability. They should not be relied on for solving a problem whose incorrect solution could result in injury to a person or loss of property. If you do use the program in such a manner, it is at your own risk. The authors disclaim all liability for direct or consequential damages resulting from your use of the programs. text/html 2010-05-30T21:16:02-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=fitting&rev=1275275762&do=diff Linear regression jHepWork offers reach classes for a linear and non-linear regression. Use the class “LinReg” from the package “jhplot.stat”, the use of which is illustrated in this simple example. from jhplot import * from jhplot.stat import LinReg from java.awt import Color from java.util import Random c1 = HPlot("Canvas",600,400) c1.visible(1) c1.setGTitle("Linear regression") c1.setAutoRange() p1= P1D("data") rand = Random(); for i in range(200): x=rand.nextGaussian() … text/html 2010-03-07T19:35:45-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=footer&rev=1268015745&do=diff jHepWork: a data analysis framework for scientists. @ S.V.Chekanov. | text/html 2010-05-19T15:47:40-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=functions&rev=1274305660&do=diff Mathematical functions in one dimension (1D) We will start this tutorial with a simple example of how to create and show a function in 1D. Using Jython (or Python) syntax First, let us create an object representing a function . Such functions are represented by the Java class F1D. text/html 2010-05-28T18:42:45-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=geometry&rev=1275093765&do=diff For drawing iterative geometrical objects, use the class HZirkel which is re-write of the well-known C.a.R/Zirkel (Compass and Ruler Construct and Rule) project. jHepWork uses a Swing-rewrite of this program called CarMetal. The source code has several modifications in order to run this program using a scripting language. text/html 2010-08-18T15:06:56-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=graphics&rev=1282165616&do=diff Below we summarise the jHepWork canvases which can be used to display data using Java/Jython: * HPlot - 2D canvas and contour plots for H1D, P1D, F1D objects and other graphical primitives; * HPlotJa 2D canvas with interactive editor for drawing diagrams. It has also support for H1D, P1D, F1D as well as for graphical primitives and Feynman diagrams; * SPlot a light-weight 2D canvas with a support for H1D, P1D, F1D as well as for the standard Java arrays * HPlot2D used for contour … text/html 2010-03-28T22:50:08-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=histograms&rev=1269838208&do=diff To construct a histogram representing a density distribution of some variable one should follow these 2 steps: construct a histogram object using the H1D class and then fill it. This is an example using the JHPLOT package (here we are using the Jython syntax instead of Java): text/html 2010-09-04T22:12:31-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=inputoutput&rev=1283659951&do=diff (Under construction!) Native Java IO classes Read Java IO tutorial Below we show a simple example of how to use Java classes using Python/Jython syntax for IO: from java.io import * fo=FileOutputStream('data.d') out=DataOutputStream(BufferedOutputStream( fo )) list=[1.,2.,3.,4.,5.] for a in list: out.writeFloat(a) out.close() fo.close() text/html 2010-03-25T22:09:53-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=metadata&rev=1269576593&do=diff Read the book "Scientific data analysis using Jython scripting and Java for more details. text/html 2010-07-02T23:04:24-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=navigation&rev=1278133464&do=diff Home * Working with IDE * Running scripts * Functions * Data Structures * Histograms * Input and Output * Graphical canvases * Plot annotations * Drawing diagrams * Analytical calculations * Geometry * Random numbers * Statistics * Clustering analysis * Neural networks * Data fitting * Metadata * Data mining text/html 2010-03-20T20:06:23-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=neuralnet&rev=1269137183&do=diff Read the book "Scientific data analysis using Jython scripting and Java for more details. --- Sergei Chekanov 2010/03/07 16:37 text/html 2010-07-06T15:07:21-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=plot_annotations&rev=1278450441&do=diff Simple labels The package jhplot.shapes can be used to display several geometrical primitives, pictures, including the text labels. All of this works together with the HPlot canvas. You cannot interact with the mouse using such labels. Interactive labels You can annotate your figure on the HPlot canvas putting interactive labels, so you can move them around with the mouse and edit. text/html 2010-07-09T20:24:05-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=randomnumbers&rev=1278728645&do=diff The jHepWork random numbers can be constructed using several approaches: * The native Java API for random numbers. See the Java “java.util.Random” * The native Python API for random numbers * The native jHepWork classes (from cern.jet.random or jhplot.math) text/html 2010-05-18T22:54:30-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=runningscripts&rev=1274244870&do=diff To run a Jython script, use the *run* button from the ToolBar of jHepWork. One can also use the *F8* key for fast execution of a script. In case of an error, the jHepWork main editor will move the cursor to the appropriate line with error. Press any key to remove the line highlighting (red color). text/html 2010-09-01T22:13:37-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=start&rev=1283400817&do=diff jHepWork tutorial This is a short tutorial on how to use jHepWork for scientific data analysis. A complete description of how to use Java, Jython and jHepWork for scientific analysis is described in the book Scientific data analysis using Jython and Java published by Springer Verlag, London, 2010 (by S.V.Chekanov) text/html 2010-07-03T16:58:38-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=statistics&rev=1278197918&do=diff The package jhplot.stat can be used for descriptive analysis of random distributions Normalised Factorial Moments (NFM) As example, let us consider calculations of normalised factorial moments (NFM) for several distributions. They are defined as text/html 2010-06-26T09:40:34-06:00 http://jwork.org/jhepwork/wikidoc/doku.php?id=working_with_ide&rev=1277566834&do=diff To run a Jython script, open a Jython file inside the IDE editor and click on the *run* button (indicated with the icon ) from the ToolBar of jHepWork. This executes the script from top to the bottom. The “print” outputs are redirected to the JythonShell (at the bottom of the IDE editor).