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Examples: Other Applications of PyXPlot

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The arrows plotting style

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Graphical output from PyXPlot

Script

set multiplot
set nodisplay
width = 10
set width width
set size square
set fontsize 2
set nokey

# Plot 0 (left)
set xlabel 'x'
set ylabel 'y'
plot [-10.9:10.9][-10.9:10.9] \
 'example11.dat' i 0 u 1:2:($1+$3):($2+$4) w arrows, \
 4*sin(x/10.9*pi):4*cos(x/10.9*pi) u 2:3 w lt 2 col black

# Plot 1 (right)
set origin width, 0
set ylabel 'linkaxis 0'
set key bottom right
plot [-10.9:10.9] \
 'example11.dat' i 1 t '' with arrows, \
 'example11.dat' i 1 t 'Before correction' u 1:2 w p, \
 'example11.dat' i 1 t 'After  correction' u 3:4 w p

set display
refresh

Notes

Here, we show two possible applications of the arrows plot style. In the left panel, we plot a map of fluid flow around a vortex core, the dotted circle showing the outline of the vortex core. The source for this is a datafile mapping fluid velocity as a function of position. In the right panel, we show a series of datapoints before and after some correction factor is applied to them, showing how the data are moved in the process.

This page is maintained by the PyXPlot webmonkey and was last updated on Tuesday, 06-Mar-2007 21:46:15 GMT.