I got a data that has a lot of data points, no definite equation or fit just a lot of spikey data, I just wanna connect all those and create a smooth graphs using Gnuplot however, nothing could make the plot as smooth as those produced by MS Excel. How do I create an Excel-like smooth plot?
Gnuplot settings I used:
set terminal postscript eps enhanced font "FreeSerif,14" size 3.0in,1.7in
set output 'fig4a.eps'
set encoding iso_8859_1
set border linewidth .5
set xlabel '{/FreeSerif-BoldItalics d} {/FreeSerif-Bold ({\305})}'
set ylabel '{/FreeSerif-Bold {/Symbol D}{/FreeSerif-Bold C}_q (e/V)}'
set xrange [-8:8]
set xtics -8,2,8
set mxtics 2
set yrange [0:0.3]
set ytics 0,0.1,0.3
set mytics 2
set key at 1.42,-0.24 reverse
set style line 1 linewidth 0.5
plot for [n=2:4] 'fig4a.dat' u 1:n smooth cspline frequency w lines ls 1
replot
quit
These are the plots I have (the designs were a bit different, as I am still resolving smoothing problem)
Excel
Gnuplot (spline, cspline, mcspline (each of these produce similar output))
Some Selected Data points
Using: plot 'fig4a.dat' u 1:4 smooth cspline notitle w lines ls 1
Output:
Data points:
-8.09808994 -3.53E-07
-7.99108994 -1.02E-05
-7.88508994 -0.000162606
-7.77908994 -0.001377785
-7.67308994 -0.00552213
-7.56708994 -0.00499697
-7.46108994 0.0326345
-7.35408994 0.1168893
-7.24808994 0.186241
-7.14208994 0.205997
-7.03608994 0.191836
-6.93008994 0.151735
-6.82308994 0.106245
-6.71708994 0.086542
-6.61108994 0.104821
-6.50508994 0.155378
-6.39908994 0.192769
-6.29208994 0.17085
-6.18608994 0.133063
-6.08008994 0.093566
-5.97408994 0.091761
-5.86808994 0.171249
-5.76108994 0.20373
-5.65508994 0.139635
-5.54908994 0.117342
-5.44308994 0.142744
-5.33708994 0.111295
-5.23008994 0.047449
-5.12408994 0.017428002
-5.01808994 0.025381005
-4.91208994 0.07760701
-4.80608994 0.177550019
-4.69908994 0.221490023
-4.59308994 0.130530012
-4.48708994 0.022438001
-4.38108994 -0.004862101
-4.27508994 0.022498
-4.16908994 0.079377
-4.06208994 0.14604
-3.95608994 0.19269
-3.85008994 0.19097
-3.74408994 0.125244
-3.63808994 0.05851
-3.53108994 0.053151
-3.42508994 0.063857
-3.31908994 0.05646
-3.21308994 0.05375
-3.10708994 0.06817
-3.00008994 0.081894
-2.89408994 0.070248
-2.78808994 0.055941
-2.68208994 0.0445004
-2.57608994 0.029018
-2.46908994 0.034651
-2.36308994 0.05154
-2.25708994 0.051322
-2.15108994 0.053645993
-2.04508994 0.079479713
-1.93808994 0.110223123
-1.83208994 0.12952024
-1.72608994 0.123183
-1.62008994 0.100336
-1.51408994 0.0878377
-1.40708994 0.08143
-1.30108994 0.11223
-1.19508994 0.167822
-1.08908994 0.157034
-0.98308994 0.107838
-0.87708994 0.09736
-0.77008994 0.10481
-0.66408994 0.12359
-0.55808994 0.17554
-0.45208994 0.21844
-0.34608994 0.20774
-0.23908994 0.169731
-0.13308994 0.143784
-0.02708994 0.134956
0.07891006 0.136358
0.18491006 0.115993
0.29191006 0.1022772
0.39791006 0.130636
0.50391006 0.137051
0.60991006 0.108013
0.71591006 0.108763
0.82291006 0.147532
0.92891006 0.1658
1.03491006 0.160103
1.14091006 0.1589476
1.24691006 0.1353571
1.35391006 0.09032325
1.45991006 0.05464951
1.56591006 0.03587591
1.67191006 0.031322905
1.77791006 0.021403117
1.88491006 0.00489071
1.99091006 0.002355969
plotline uses wrong syntax, should beplot for [n=2:4] 'fig4a.dat' u 1:n smooth cspline ls 1 w lines. And how can we know how the plot generated by Excel looks like? Please show an example. And try different interpolations likesmooth cspline,smooth bezier,smooth mcspline. – Christophcsplinedoes smoothing, but without seeing any more concrete examples (data, current results, Excel comparison) it is quite pointless to go on guessing... – Christoph