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#! /usr/bin/env python
# $Id: test.py,v 2.20 1999/10/14 03:16:16 mhagger Exp $
"""test.py -- Exercise the Gnuplot.py module.
This module is not meant to be a flashy demonstration; rather it is a
thorough test of many combinations of Gnuplot.py features.
Copyright (C) 1999 Michael Haggerty
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or (at
your option) any later version. This program is distributed in the
hope that it will be useful, but WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the GNU General Public License for more details; it is
available at <http://www.fsf.org/copyleft/gpl.html>, or by writing to
the Free Software Foundation, Inc., 59 Temple Place - Suite 330,
Boston, MA 02111-1307, USA.
"""
__version__ = '1.4'
__cvs_version__ = '$Revision: 2.20 $'
import math, time
import Numeric
from Numeric import NewAxis
try:
import Gnuplot
except:
# kludge in case Gnuplot hasn't been installed as a module yet:
import __init__
Gnuplot = __init__
gp = Gnuplot # abbreviation
def wait(str=None, prompt='Press return to show results...\n'):
if str is not None:
print str
raw_input(prompt)
def main():
"""Exercise the Gnuplot module."""
wait('Popping up a blank gnuplot window on your screen.')
g = gp.Gnuplot()
g.clear()
# Make a temporary file:
file1 = gp.TempFile() # will be deleted upon exit
f = open(file1.filename, 'w')
for x in Numeric.arange(100)/5. - 10.:
f.write('%s %s %s\n' % (x, math.cos(x), math.sin(x)))
f.close()
print '############### test Func ########################################'
wait('Plot a gnuplot-generated function')
g.plot(gp.Func('sin(x)'))
wait('Set title and axis labels and try replot()')
g.title('Title')
g.xlabel('x')
g.ylabel('y')
g.replot()
wait('Style linespoints')
g.plot(gp.Func('sin(x)', with='linespoints'))
wait('title=None')
g.plot(gp.Func('sin(x)', title=None))
wait('title="Sine of x"')
g.plot(gp.Func('sin(x)', title='Sine of x'))
print 'Change Func attributes after construction:'
f = gp.Func('sin(x)')
wait('Original')
g.plot(f)
wait('Style linespoints')
f.set_option(with='linespoints')
g.plot(f)
wait('title=None')
f.set_option(title=None)
g.plot(f)
wait('title="Sine of x"')
f.set_option(title='Sine of x')
g.plot(f)
print '############### test File ########################################'
wait('Generate a File from a filename')
g.plot(gp.File(file1.filename))
wait('Generate a File given a TempFile object')
g.plot(gp.File(file1))
wait('Style lines')
g.plot(gp.File(file1.filename, with='lines'))
wait('using=1, using=(1,)')
g.plot(gp.File(file1.filename, using=1, with='lines'),
gp.File(file1.filename, using=(1,), with='points'))
wait('using=(1,2), using="1:3"')
g.plot(gp.File(file1.filename, using=(1,2)),
gp.File(file1.filename, using='1:3'))
wait('title=None')
g.plot(gp.File(file1.filename, title=None))
wait('title="title"')
g.plot(gp.File(file1.filename, title='title'))
print 'Change File attributes after construction:'
f = gp.File(file1.filename)
wait('Original')
g.plot(f)
wait('Style linespoints')
f.set_option(with='linespoints')
g.plot(f)
wait('using=(1,3)')
f.set_option(using=(1,3))
g.plot(f)
wait('title=None')
f.set_option(title=None)
g.plot(f)
print '############### test Data ########################################'
x = Numeric.arange(100)/5. - 10.
y1 = Numeric.cos(x)
y2 = Numeric.sin(x)
d = Numeric.transpose((x,y1,y2))
wait('Plot Data, specified column-by-column')
g.plot(gp.Data(x,y2, inline=0))
wait('Same thing, inline data')
g.plot(gp.Data(x,y2, inline=1))
wait('Plot Data, specified by an array')
g.plot(gp.Data(d, inline=0))
wait('Same thing, inline data')
g.plot(gp.Data(d, inline=1))
wait('with="lp 4 4"')
g.plot(gp.Data(d, with='lp 4 4'))
wait('cols=0')
g.plot(gp.Data(d, cols=0))
wait('cols=(0,1), cols=(0,2)')
g.plot(gp.Data(d, cols=(0,1), inline=0),
gp.Data(d, cols=(0,2), inline=0))
wait('Same thing, inline data')
g.plot(gp.Data(d, cols=(0,1), inline=1),
gp.Data(d, cols=(0,2), inline=1))
wait('Change title and replot()')
g.title('New title')
g.replot()
wait('title=None')
g.plot(gp.Data(d, title=None))
wait('title="Cosine of x"')
g.plot(gp.Data(d, title='Cosine of x'))
print '############### test hardcopy ####################################'
print '******** Generating postscript file "gp_test.ps" ********'
wait()
g.plot(gp.Func('cos(0.5*x*x)', with='linespoints 2 2',
title='cos(0.5*x^2)'))
g.hardcopy('gp_test.ps')
wait('Testing hardcopy options: mode="landscape"')
g.hardcopy('gp_test.ps', mode='landscape')
wait('Testing hardcopy options: mode="portrait"')
g.hardcopy('gp_test.ps', mode='portrait')
wait('Testing hardcopy options: mode="eps"')
g.hardcopy('gp_test.ps', mode='eps')
wait('Testing hardcopy options: eps=1')
g.hardcopy('gp_test.ps', eps=1)
wait('Testing hardcopy options: enhanced=1')
g.hardcopy('gp_test.ps', eps=0, enhanced=1)
wait('Testing hardcopy options: enhanced=0')
g.hardcopy('gp_test.ps', enhanced=0)
wait('Testing hardcopy options: color=1')
g.hardcopy('gp_test.ps', color=1)
wait('Testing hardcopy options: solid=1')
g.hardcopy('gp_test.ps', color=0, solid=1)
wait('Testing hardcopy options: duplexing="duplex"')
g.hardcopy('gp_test.ps', solid=0, duplexing='duplex')
wait('Testing hardcopy options: duplexing="defaultplex"')
g.hardcopy('gp_test.ps', duplexing='defaultplex')
wait('Testing hardcopy options: fontname="Times-Italic"')
g.hardcopy('gp_test.ps', fontname='Times-Italic')
wait('Testing hardcopy options: fontsize=20')
g.hardcopy('gp_test.ps', fontsize=20)
wait('Testing hardcopy options: mode="default"')
g.hardcopy('gp_test.ps', mode='default')
print '############### test shortcuts ###################################'
wait('plot Func and Data using shortcuts')
g.plot('sin(x)', d)
print '############### test splot #######################################'
g.splot(gp.Data(d, with='linesp', inline=0))
wait('Same thing, inline data')
g.splot(gp.Data(d, with='linesp', inline=1))
print '############### test GridData and GridFunc #######################'
# set up x and y values at which the function will be tabulated:
x = Numeric.arange(35)/2.0
y = Numeric.arange(30)/10.0 - 1.5
# Make a 2-d array containing a function of x and y. First create
# xm and ym which contain the x and y values in a matrix form that
# can be `broadcast' into a matrix of the appropriate shape:
xm = x[:,NewAxis]
ym = y[NewAxis,:]
m = (Numeric.sin(xm) + 0.1*xm) - ym**2
wait('a function of two variables from a GridData file')
g('set parametric')
g('set data style lines')
g('set hidden')
g('set contour base')
g.xlabel('x')
g.ylabel('y')
g.splot(gp.GridData(m,x,y, binary=0, inline=0))
wait('Same thing, inline data')
g.splot(gp.GridData(m,x,y, binary=0, inline=1))
wait('The same thing using binary mode')
g.splot(gp.GridData(m,x,y, binary=1))
wait('The same thing using GridFunc to tabulate function')
g.splot(gp.GridFunc(lambda x,y: math.sin(x) + 0.1*x - y**2, x,y))
wait('Use GridFunc in ufunc mode')
g.splot(gp.GridFunc(lambda x,y: Numeric.sin(x) + 0.1*x - y**2, x,y,
ufunc=1, binary=1))
wait('And now rotate it a bit')
for view in range(35,70,5):
g('set view 60, %d' % view)
g.replot()
time.sleep(1.0)
wait(prompt='Press return to end the test.\n')
# when executed, just run main():
if __name__ == '__main__':
main()
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