DMelt:Plots/1 Canvases
Graphical canvases
Every data container of DataMelt can either be
- plottable (extends the class
jhplot.Plottable and can be shown on the canvases. - not plottable, i.e. represent pure data. Almost all non-plottable objects they can be converted to plottable objects
You can check if the object is plottable if it implements the method //'is3D//' (it is 3D object or 2D). Here is the example:
>>from jhplot import * >>p=P1D() >>print p.is3D()
It returns false (not a 3D object), i.e. it belongs to objects which can only plotted on 2D canvaces.
>>from jhplot import * >>p=PND() # 2D array >>print p.is3D()
You will see the error "AttributeError: 'jhplot.PND' object has no attribute 'is3D'.
Plottable objects can be shown on canvaces. Below we summarize the DataMelt canvases which can be used to display data, functions and other graphical objects (axes, labels, keys, arrows) using Java/Jython:
| Canvas | Description |
|---|---|
| jhplot.Plot |
Plot data and functions using MatLab syntax. Can be used to plot X-Y array, jhplot.P1D, hplot.F1D.
|
| jhplot.HPlot |
2D canvas and contour plots for jhplot.H1D, jhplot.P1D, hplot.F1D objects and other graphical primitives. jhplot.H2D can be shown as a desity plot.
|
| jhplot.HPlotter |
a similar 2D canvas but has a different look and feel since originate from the JAS (FreeHEP). It has also support for jhplot.H1D, jhplot.P1D, hplot.F1D. jhplot.H2D can be shown as a density plot or contour plots (several styles). Plot regions are more interactive than for the HPlot class and there is a better integration with Jaida/FreeHEP libraries
|
| jhplot.HPlotJas |
2D canvas based on Jas2. Accepts jhplot.H1D, jhplot.P1D, hplot.F1D. jhplot.H2D for plotting. Useful for interactive rebinning of 1d array and interactive non-linear regression (fits)
|
| jhplot.HPlotJa |
2D canvas with interactive editor for drawing diagrams. It has also support for jhplot.H1D, jhplot.P1D, hplot.F1D as well as for graphical primitives and Feynman diagrams
|
| jhplot.HPlotChart |
Used to embed charts from JFreeChart and allows for export to vector formats (EPS, PDF) |
| jhplot.HPlotXY |
2D canvas with interactive editor for drawing diagrams. It has also support for jhplot.H1D, jhplot.P1D, hplot.F1D. Plots can have separate pads
|
| jhplot.SPlot |
a light-weight 2D canvas with a support for jhplot.H1D, jhplot.P1D, hplot.F1D as well as for the standard Java arrays
|
| jhplot.WPlot |
canvas based on Waterloo with support for jhplot.H1D, jhplot.P1D, hplot.F1D. Plots can be done as bars, scatter, lines, dots. Polar coordinates are supported.
|
| jhplot.HPlot2D |
is used for contour (or density) plots in 2D for classes jhplot.H2D, jhplot.P2D, jhplot.F2D
|
| jhplot.HPlot3D |
is used for plotting data in 3D jhplot.H2D, jhplot.P3D, jhplot.F2D
|
| jhplot.HPlotXYZ |
is used for plotting data and geometrical objects in 3D using OpenGL. Can be used to show jhplot.H2D, jhplot.P3D, jhplot.F2D
|
| jhplot.HPlot3DP |
is used for plotting parametric and non-parametric functions such as jhplot.FPR
|
| jhplot.HPlotMX |
for plotting parametric and non-parametric functions |
| jhplot.HChart |
is used for showing 2D and 3D charts, lines, functions, histograms. Also has a support for jhplot.P1D and H1D histograms. This canvas supported by the Android version of DataMelt.
|
| jhplot.HGraph |
is used for showing interconnected graphs. |
| jhplot.HPlotRT |
to show data in real time as traces |
| jhplot.HVisAd |
to show data in 2D/3D for visualization and analysis of numerical data using VisAd
|
| org.jlab.groot.ui.TCanvas |
to show data in 2D using GROOT visualization (similar to PyROOT) |
| jhplot.HZirkel |
is used for interactive geometry |
In addition, one can use several external libraries for plotting data:
| Library | Description |
|---|---|
| JFreeChart |
To plot data and charts |
| Waterloo scientific library |
To plot data in chart using interactive canvases |
| Gral scientific library |
To plot data in chart using interactive canvases |
Such large number of canvases is mainly due to the fact that they are designed for somewhat different tasks and originate from different packages. But the good thing is that thy often share same methods and constructors, so changing the style of the plots can be simply done by replacing the constructor keeping the same plotting methods.
General features
Despite the large number of supported canvases, all methods used to create interactive plots are rather similar. For most examples to be discussed, we will use the HPlot canvas, but very similar methods also can be used for HPlotter, HPlotJa etc. canvases.
Typically, you can build a canvas like this:
from jhplot *
c1 = HPlot("Canvas",600,400,2,1) # canvas size 600x400, 2 plot regions
c1.visible() # make it visible
c1.setAutoRange() # autorange for X
c1.draw(object1) # draw object1 (H1D,F1D,P1D etc)
c1.draw(object2) # draw a new object
c1.export("figure.pdf") # export to PDF file
This code create a canvas with the size 600x400 (in pixels), it has 2 pads to show data. The method visible() makes the canvas visible. If you do not want the pop-up image, just call
"visible(False)". Then you can draw any mathematical object or data. Then you can export
the image to vector format.
Now you are ready to plot functions, histograms and datasets.
See documentation of jhplot.HPlot class.
It should be noted the HPlot canvas can be replaced by any other canvas described above.
The example also creates image "figure.pdf". Please read Exporting Canvases section.
Several plots regions
These canvases can be used to show several pads (plot regions) with plotted objects. Specify the number of divisions in X and Y in the constructors. The navigate to a specific plot region using the method "cd()". Here is example of how to create 2x2 pads on a single canvas:
from jhplot import *
c1 = HPlot("Canvas",500,400,2,2)
c1.visible()
c1. setRangeAll(0,10,0,10)
h1 = P1D("Simple")
c1.cd(1,1)
h1.add(5,6); c1.draw(h1)
c1.cd(1,2)
h1.add(4,3); c1.draw(h1)
c1.cd(2,1)
h1.add(3,3); c1.draw(h1)
c1.cd(2,2)
h1.add(2,1); c1.draw(h1)
c1.export ("example.pdf") # export to PDFThe output image is:
This works for jhplot.HPlot, jhplot.HPlotJa, jhplot.HPlot3D and many other pads.
Here we use the same X and Y ranges. One can use "setAutoRange()" (after each "cd()") method to set autorange for each pad. Also, try "setRange(xmin,xmax,ymin,ymax)" to set fixed ranges for each pads. it shows 4 pads with data points.
The plots are fully customizable, i.e. one can change any attribute (axis, label, ticks, ticks label). This will be shown later.
Exporting to images
When DMelt functions, histograms and data structures are shown, one can create an image using the menu [File]-[Export]. One can also save image in a file using the method "export" to a variety of vector graphics formats as well as bitmap image formats.
In the example below, we save an instance of the HPlot class to a PDF file:
c1.export('image.pdf')
we export drawings on the canvas HPlot (c1 represents its instance) into a PDF file. One can also export it into SVG, PNG, JPEG, EPS, PS etc. formats using the appropriate extension for the output file name.
As example, simply append the statement "c1.export('image.ps')" at the end of code snippets.
Images can be generated in a background (without a pop-up frame with the canvas). For this, use the method "c1.visible(0)", where "0" means Java false.
Please read Export to vector graphics section for more information how to deal with high-quality images for publications.
