DScience:3D representation of data

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3D plots use 3D computer graphics to represent scientific data. Data are usually defined as [math]\displaystyle{ Z=f(X,Y) }[/math], where [math]\displaystyle{ (X,Y,Z) }[/math] values by a function or actual data. There are a number of possible types of 3D plots. You can use the following Java classes to plot data in 3D:  jhplot.HPlot3D,  jhplot.HPlotXYZ,  jhplot.HPlot3DP,  jhplot.HVisAd,  jhplot.HPlotMX. See additional details in DMelt:Plots/5_Plots_in_3D.

Bar plots or histograms

A bar plot draws a three-dimensional bar chart, where each element in Z corresponds to one bar. To make such plots from a 3D histogram use the Java class  jhplot.H2D. Here is the Python code with an example:

from jhplot  import HPlot3D,SHPlot3D,H2D
from java.util import Random


# build a standard canvas
c1 = HPlot3D("Canvas",600,400)

# build a singleton
# c1=SHPlot3D.getCanvas()

c1.setGTitle("Global title")
c1.setNameX("Xaxis")
c1.setNameY("Yaxis")
c1.visible(1)

h1 = H2D("My 2D Test",20,-3.0, 3.0, 20, -3.0, 3.0)
rand = Random();
for i in range(500):
               h1.fill(rand.nextGaussian(),rand.nextGaussian())
c1.draw(h1);

# export to some image (png,eps,pdf,jpeg...)
# c1.export(Editor.DocMasterName()+".png")

Surface plots

Here is an example of surface plots:

Scattered data

Here is an example that use two data points (blue and red):

Mixed plots

One can overlay scattered data with surface plots, bar plots in arbitrary way. Typically, you need to use  jhplot.HPlot3D canvas.