[Tutor] help with splot & 3d data

[kevin parks]

hi Python heads!

i have some data that would like to plot with Gnuplot-py and need to 
get a little fancier than i am used to.

I have data that looks like:

0 5.5 0 1
2 5.5 2 4
4 5.5 4 2
6 5.5 5 3
8 5.5 7 1
10 5.5 9 4
12 5.5 11 3
14 5.5 0 2
16 5.5 2 1
18 5.5 4 4
20 5.5 5 3


The first number is the start time of the event. The second is the 
duration. The third is the event identifier and the last is what stream 
it belongs to. I would like to use splot and points of different colors 
to convey as much info as i can. The X axis would be the time axis 
(that would take care of the first two parameters) and the Y axis could 
be the third column. Then for the fouth item, there are only four 
possibilities (1, 2, 3, or 4), so i thought that i could use points of 
red, blue, green, black to indicate that.

So that is where i am headed... But i have a long way to go and am a 
gnuplot novice and not a great Python hacker to boot.. Could anyone 
help me along?

I would be grateful for any help.

Cheers,

kevin



Here is some (*gasp*) code.


------------ [snip] ----------------

#! /usr/bin/env python

from Numeric import *
import Gnuplot, Gnuplot.funcutils

def main():

     all = [ [ 0, 5.5, 0, 1 ], [ 2, 5.5, 2, 4 ], [ 4, 5.5, 4, 2 ], [ 6, 
5.5, 5, 3 ], [ 8, 5.5, 7, 1 ], [ 10, 5.5, 9, 4 ], [ 12, 5.5, 11, 3 ], [ 
14, 5.5, 0, 2 ], [ 16, 5.5, 2, 1 ], [ 18, 5.5, 4, 4 ], [ 20, 5.5, 5, 3 
], [ 22, 5.5, 7, 2 ], [ 24, 5.5, 9, 1 ], [ 26, 5.5, 11, 4 ], [ 28, 5.5, 
0, 3 ], [ 30, 5.5, 2, 2 ], [ 32, 5.5, 4, 1 ], [ 34, 5.5, 5, 3 ], [ 36, 
5.5, 7, 4 ], [ 38, 5.5, 9, 2 ], [ 40, 5.5, 11, 3 ], [ 42, 5.5, 0, 4 ], 
[ 44, 5.5, 2, 1 ], [ 46, 5.5, 4, 2 ], [ 48, 5.5, 5, 4 ], [ 50, 5.5, 7, 
3 ], [ 52, 5.5, 9, 1 ], [ 54, 5.5, 11, 2 ], [ 56, 5.5, 0, 4 ], [ 58, 
5.5, 2, 1 ], [ 60, 5.5, 4, 3 ], [ 62, 5.5, 5, 2 ], [ 64, 5.5, 7, 4 ], [ 
66, 5.5, 9, 3 ], [ 68, 5.5, 9, 1 ], [ 70, 5.5, 0, 2 ], [ 72, 5.5, 2, 4 
], [ 74, 5.5, 4, 1 ], [ 76, 5.5, 5, 2 ], [ 78, 5.5, 7, 3 ], [ 80, 5.5, 
9, 4 ], [ 82, 11.5, 11, 2 ], [ 84, 5.5, 0, 1 ], [ 86, 5.5, 2, 3 ], [ 
88, 7.5, 4, 4 ], [ 90, 11.5, 5, 1 ], [ 92, 5.5, 7, 3 ], [ 94, 3.5, 9, 2 
], [ 96, 7.5, 11, 4 ], [ 98, 7.5, 0, 2 ], [ 100, 11.5, 2, 3 ], [ 102, 
5.5, 4, 1 ], [ 104, 7.5, 5, 4 ], [ 106, 11.5, 7, 2 ], [ 108, 5.5, 9, 1 
], [ 110, 5.5, 11, 3 ], [ 112, 8.5, 0, 4 ], [ 114, 5.5, 2, 1 ], [ 116, 
5.5, 4, 3 ], [ 118, 5.5, 5, 2 ], [ 120, 9.5, 7, 1 ], [ 122, 3.5, 9, 4 
], [ 124, 3.5, 11, 2 ], [ 126, 5.5, 0, 3 ], [ 128, 5.5, 2, 2 ], [ 130, 
5.5, 4, 1 ], [ 132, 5.5, 5, 3 ], [ 134, 10, 7, 2 ], [ 136, 8, 9, 4 ], [ 
138, 6, 11, 1 ], [ 140, 4, 0, 3 ] ]
     g = Gnuplot.Gnuplot(debug=1)
     g.title('REALLY COOL GRAPH') # (optional)
     g.xlabel('Start Time')
     g.ylabel('Duration')
     g('set data style linespoints') # give gnuplot an arbitrary command
     # Plot a list of (x, y) pairs (tuples or a Numeric array would
     # also be OK):
     #g.plot([[0,1.1], [1,5.8], [2,3.3], [3,4.2]])
     g.plot(all)
     raw_input('Please press return to continue...\n')
     g.reset()
# -- ---------------
     print '############### test splot 
##################################'
     #g.splot(Gnuplot.Data(all, with='linesp', inline=1,))
     g.splot(Gnuplot.Data(all, using=(1,), with='points', inline=1,))
#g.plot(Gnuplot.Data(d, with='lp 4 4'))
#g.plot(Gnuplot.Data(d, cols=(0,1), inline=0),
#Gnuplot.Data(d, cols=(0,2), inline=0))
#g.plot(Gnuplot.Data(d, cols=(0,1), inline=1),
#Gnuplot.Data(d, cols=(0,2), inline=1))

     #g.splot(Gnuplot.Data(all, with='linesp', inline=1))


# when executed, just run main

if __name__ == '__main__':
     main()


------------ [snip] ----------------