On 2005-10-25, Grant Edwards <[EMAIL PROTECTED]> wrote:
> It appears that the Gnuplot modules has coerced my data into
> single-precision -- thus throwing away most of the resolution
> on the x-axis.
Passing Gnuplot.Data a Numeric array object is a good
work-around. Otherwise, Gnuplot.Data will convert it into a
float (single precision) arry.
Here's a revised demo that works better:
------------------------------8<------------------------------
import Gnuplot,time,sys,math
import Numeric
Gnuplot.GnuplotOpts.prefer_fifo_data = 0
def pause():
sys.stdout.write("Press enter to continue: ")
sys.stdin.readline()
def fgrid(start,stop,count):
for i in xrange(count):
yield start + ((stop-start)*i)/count
start = time.time()
xdata = [x for x in fgrid(0,600.0,10)] # two minutes worth
ydata = [math.sin(x/100.0) for x in xdata]
data = Gnuplot.Data(xdata,ydata,with='linespoints',using=(1,2))
gp = Gnuplot.Gnuplot(debug=1)
gp.title('Data starting at %s' % time.asctime(time.gmtime(start+xdata[0])))
# x axis will use default tics (seconds since start of run)
gp.plot(data)
pause()
# same data with x value as Unix timestamps
xdata = [x+start for x in xdata]
a = Numeric.array(zip(xdata,ydata))
data = Gnuplot.Data(a,with='linespoints',using=(1,2))
gp('set xdata time')
gp('set timefmt "%s')
gp('set format x "%r"')
gp('set xtics 120')
gp.plot(data)
pause()
------------------------------8<------------------------------
--
Grant Edwards grante Yow! The Korean War must
at have been fun.
visi.com
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