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Gnuplot is a simple plotting program used make graphics for scientific publication. In this post I will explain how I made some plots published in the article Cyclic voltammetry simulations with cellular automata. In this article we have information about a three diemensional regular lattice and the a state for each cell of the lattice. It is difficult see the variation of a dense cell using a three dimensional representation, therefore we will use lateral projections of the lattice.
The first projection is a like a top view of the lattice. We have a two dimensional matrix where each element has a number that represents a concentration of species. This can be represented as a heatmap where the concentration is linked to a color scale.
reset
load 'moreland.plt'
SCALE=2
index=1
set terminal gif animate delay 50 optimize font "Lato" enhanced
set label 'Re' at graph -0.1,1.05
set label 'Ox' at graph 1.02,1.05
set output "Profile.gif"
#Axes
set xr [0:1360]
set yr [0:1360]
set xtics offset 0.0,0.3
set ytics offset 0.7,0.0
set mytics 5
set mxtics
set xlabel 'x [µm]' offset 0,0.0
set ylabel 'y [µm]' offset 1.0,0.0
# Grid
set tmargin screen 0.8
set grid front
set grid noxtics noytics
set size square
# Colorbox
set cbrange [-0.22:0.22]
set colorbox horizontal user size 0.50,0.015 origin graph 0,1.015
set cbtics ('' -0.22,'20' -0.2, '15' -0.15, '10' -0.1, '5' -0.05, '0' 0, '5' 0.05, '10' 0.1, '15' 0.15, '20' 0.2, '' 0.22) offset 0,2.0
set cblabel "Cell\'s percentage [%]" offset 1,5.0
do for [t=0:37848:1992] {
plot sprintf("ProfileXY%d.dat",t) matrix u ($1*SCALE):($2*SCALE):3 w image notitle
}
The second representation is just the evolution of the one dimensional concentration, which has been averaged in the other dimensions.
load 'palettedegrade.plt'
filename='profileztra.dat'
filename2='profileztraRe.dat'
set terminal svg font "Lato,18"
set output 'ProfilZ.svg'
NZ=264
NX=530
SCALE=0.2
# Axes
set xr [0:NZ] #Time /16
set yr [:21]
set mytics 5
set mxtics
# Multiplot
set multiplot layout 2,1 rowsfirst
#----------------
#- First plot -
#----------------
set tmargin at screen 0.90; set bmargin at screen 0.55
set key bottom right title 'Voltage [V]' spacing 0.8
unset xlabel
set ylabel 'Concentration Ox [\%]' offset 1.5,-0.0
set xtics (" " 0, sprintf(" ") (50*NZ/NX), sprintf(" ") (100*NZ/NX), sprintf(" ") (150*NZ/NX), sprintf(" ") (200*NZ/NX), sprintf(" ",(250)) (250*NZ/NX), sprintf(" ") (300*NZ/NX), sprintf(" ") (350*NZ/NX), sprintf(" ") (400*NZ/NX), sprintf(" ") (450*NZ/NX), sprintf(" ") NX/2-1) offset 0,0.3
set ytics offset 0.5,0 add ("" 0)
plot filename u ($1*100) w l ls 1 title '0.8',\
filename u ($2*100) w l ls 2 notitle,\
filename u ($3*100) w l ls 3 title '0.611',\
filename u ($4*100) w l ls 4 notitle,\
filename u ($5*100) w l ls 5 title '0.422',\
filename u ($6*100) w l ls 6 notitle,\
filename u ($7*100) w l ls 7 title '0.233',\
filename u ($8*100) w l ls 8 notitle,\
filename u ($9*100) w l ls 9 title '0.044',\
filename u ($10*100) w l ls 10 notitle,\
filename u ($11*100) w l ls 11 notitle ,\
filename u ($12*100) w l ls 12 notitle,\
filename u ($13*100) w l ls 13 notitle,\
filename u ($14*100) w l ls 14 notitle,\
filename u ($15*100) w l ls 15 notitle,\
filename u ($16*100) w l ls 16 notitle,\
filename u ($17*100) w l ls 17 notitle,\
filename u ($18*100) w l ls 18 notitle,\
filename u ($19*100) w l ls 19 notitle,\
filename u ($20*100) w l ls 20 notitle
#-----------------
#- Second plot -
#-----------------
set tmargin at screen 0.55; set bmargin at screen 0.20
set key top right notitle
set xlabel 'Distance from the electrode [µm]' offset 0,0.5
set ylabel 'Concentration Re [\%]' offset 1.5,-0.5
set xtics (0, sprintf("%.0f",(50)) (50*NZ/NX), sprintf("%.0f",(100)) (100*NZ/NX), sprintf("%.0f",(150)) (150*NZ/NX), sprintf("%.0f",(200)) (200*NZ/NX), sprintf("%.0f",(250)) (250*NZ/NX), sprintf("%.0f",(300)) (300*NZ/NX), sprintf("%.0f",(350)) (350*NZ/NX), sprintf("%.0f",(400)) (400*NZ/NX), sprintf("%.0f",(450)) (450*NZ/NX), sprintf("%.0f",(NX/2*SCALE*10)) NX/2-1)
set ytics offset 0.5,0 add ("0" 0)
plot filename2 u ($1*100) w l ls 1 notitle,\
filename2 u ($2*100) w l ls 2 notitle,\
filename2 u ($3*100) w l ls 3 notitle,\
filename2 u ($4*100) w l ls 4 notitle,\
filename2 u ($5*100) w l ls 5 notitle,\
filename2 u ($6*100) w l ls 6 notitle,\
filename2 u ($7*100) w l ls 7 notitle,\
filename2 u ($8*100) w l ls 8 notitle,\
filename2 u ($9*100) w l ls 9 notitle,\
filename2 u ($10*100) w l ls 10 title '-0.145',\
filename2 u ($11*100) w l ls 11 notitle,\
filename2 u ($12*100) w l ls 12 title '0.034',\
filename2 u ($13*100) w l ls 13 notitle,\
filename2 u ($14*100) w l ls 14 title '0.223',\
filename2 u ($15*100) w l ls 15 notitle,\
filename2 u ($16*100) w l ls 16 title '0.412',\
filename2 u ($17*100) w l ls 17 notitle,\
filename2 u ($18*100) w l ls 18 title '0.601',\
filename2 u ($19*100) w l ls 19 notitle,\
filename2 u ($20*100) w l ls 20 title '0.79'
unset multiplot
unset output
The plots that have been presented here have different format than the ones
that appear in the paper article Cyclic voltammetry simulations with cellular
automata,
which are in vectorial eps format. This is because html renders better svg
graphics and the animation have been used in gif format.
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