This tutorial shows various styles of presenting data when using SCaVis. As usual, we make a small Jython code snippets to illustrate various Canvas styles.
The base SCaVis code which makes data for the examples below is the same. It looks as:
from java.util import Random from jhplot import * c1 =HPlot("Canvas") c1.visible() c1.setRange(0,100,0,100) h1 = H1D("Histogram",20, 50.0, 100.0) f1=F1D("cos(x)*x",1,50) p1= P1D("X-Y data") rand = Random(10) for i in range(500): h1.fill(85+10*rand.nextGaussian()) if (i<200): p1.add(56+7*rand.nextGaussian(),70+7*rand.nextGaussian()) c1.draw(f1) c1.draw(h1) c1.draw(p1)
Below we show how to apply various graphic styles when presenting these 3 objects: a histogram, a function and data points.
Here are “scientific” styles: plots are all in black and while, nothing fancy.
Here are “presentation” styles: plots are colourful and look attractive.
Here is a double plot with linear and log scale. We use
jhplot.HPlot after rescaling the canvas sizes. Errors are shown as shaded band.
Here is another double plot with linear and log scale. We use
jhplot.HPlotJa which is the most flexible. Errors are shown as shaded band.