	Reinforcement Learning and Artificial Intelligence (RLAI)
	Quickgraph (2D and 3D graphing)

The ambition of this page is to very briefly describe the Quickgraph graphing routines and its various implementations such that readers can quickly determine whether or not it is likely to meet their needs. External documentation is not here but is pointed to from here.

The quickgraph routines allow users to quickly and easily build 2-dimensional graphs based on lists of numbers. The graphs can have multiple lines (which will be different colors for differentiation), have gridlines, and have detailed axis tickmarks. Histograms are also supported. Once a graph is drawn, the user can easily highlight separate data lines.

Users can also easily make a 3-dimensional graph surface from a 2-dimensional array of data.

The quickgraph routines are based on the graphics package G.

Quickgraph is currently available only for Macintosh Common Lisp and for Python (multiple platforms, based on tk and tkinter). The former is very stable whereas the latter is under development -- user feedback requested.

Quickgraph for Python 1.0 beta

Quickgraph for Macintosh Common Lisp 2.0

Reference manual
Download and installation instructions

Python Installation Instructions for Quickgraph

Requirements:

You must have the following installed on your machine to use g:
- Python (version 2.3)
- Tk
- Tkinter (the Python interface for Tk)
In addition, you must be running in a windowing environment.
For help in using Python, especially with Tkinter, see here.
Questions? More information is available here.

Installation:

The last upload of quickgraph was January 25, 2005. For information on previous versions, see here.
Download the quickgraph tar file here.
It unzips into a folder called Quickgraph. Place this folder in your Python site packages directory or wherever you want to run Python from.
Quickgraph can also be acquired by installing the Reinforcement Learning toolkit.

Usage:

Note: on the mac, you must use pythonw, not python to be able to use these functions. The Python IDE that comes with the Mac cannot be used to run these, but IDLE can be modified to work with them (see here).
Move to the directory you put the Quickgraph folder in (not necessary if it is in the Python site packages folder)
Start up Python and do one of the following:
- from Quickgraph import *
  Then you can access the 2d graphing routines with module name graph in front - e.g. graph.graph(...), and the 3d ones with module name graph3d in front - e.g. graph3d.graphSurface(...).
- from Quickgraph.graph import *
  Then you can access the graph routines without a module name in front. The 3d graphing routines are not available with this import.
- from Quickgraph.graph3d import *
  Then you can access the graph3d routines without a module name in front. The 2d graphing routines are not available with this import.
Use the command gStartEventLoop() to make your windows visible and interactive.

For example:

     python

     >>>from Quickgraph.graph import *

     >>>graph([[1, 2, 3, 4, 5], [1, 4, 9,
16, 25]])

     >>>gStartEventLoop()

     You should see a window with two graph lines in it in the upper left hand corner of your screen.
     It may be hidden behind other windows.

Questions? More information is available here.

Lisp Installation Instructions for Quickgraph

Graph.lisp is built on the G graphics language which is in turn built on Quickdraw. To install G, you need to obtain the file g.lisp (you will also need the quickdraw interface file that came with MCL). To install Graph.lisp you will need to obtain the file graph.lisp. Once you have the files, here is the normal installation procedure (put this in your init.lisp file):

(load "ccl:library;quickdraw.lisp")
(load "g.lisp")
(load "graph.lisp")
(use-package :graph)

Of course if you have compiled these files you will want to leave off the ".lisp" on these files names.

Can i do 3D graphics in Lisp? How is that done? Rich, Tue Nov 9 15:14:29 2004

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