This is for a quick visual inspection of your job data output as XY plot. The XY data containing is read from the file data_input.dat
1.00 0.00000
2.00 0.74103
3.00 0.79751
.. ....
.. ....
$ gnuplot
> plot "data_input.dat"
Now a scatter plot will pop up as a window. If you are logged into remote session with ssh, make sure you have forwarded the X. i.e. logged in with -X flag
$ ssh -X yourhost
Change it to line plot by adding 'with lines'
$ gnuplot
> plot "data_input.dat" with lines
__________________________________________________________
Now for more advanced options:
1) To save the plot as png image:
add set terminal png, set output "plot.png"
-----------------------------------------------------------------------------
set terminal png
set output "plot.png"
plot "data_input.dat" with lines
-----------------------------------------------------------------------------
plot "data_input.dat" with lines
-----------------------------------------------------------------------------
Now the plot will be saved as 'plot.png' into working directory.
You can open the image from terminal using eog (eye of gnome)
You can open the image from terminal using eog (eye of gnome)
$ eog plot.png
2) To label the X and Y and plot grid:
add set ylabel "RMS", set xlabel "Time" and set grid
-----------------------------------------------------------------------------
3) If you want to plot 1st and 5th column in your data_input.dat:
add 'using 1:5' in plot command
-----------------------------------------------------------------------------
2) To label the X and Y and plot grid:
add set ylabel "RMS", set xlabel "Time" and set grid
-----------------------------------------------------------------------------
set terminal png
set output "plot.png"
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" with lines
-----------------------------------------------------------------------------
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" with lines
-----------------------------------------------------------------------------
3) If you want to plot 1st and 5th column in your data_input.dat:
add 'using 1:5' in plot command
-----------------------------------------------------------------------------
set terminal png
set output "plot.png"
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:5 with lines
-----------------------------------------------------------------------------
4) To plot two data series in the same plot and label each line:
add next series after a comma
-----------------------------------------------------------------------------
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:2 with lines title 'data-1', "data_input.dat" using 1:5 with lines title 'data-5'
-----------------------------------------------------------------------------
To plot many series, it's convenient to use the line continuation character, "\" .
-----------------------------------------------------------------------------
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:2 with lines title 'data-1', \
"data_input.dat" using 1:3 with lines title 'data-3' \
"data_input.dat" using 1:5 with lines title 'data-5' \
-----------------------------------------------------------------------------
5) Running it from a script
Put all these commands into a script and run if you have to run them several times
-----------------------------------------------------------------------------
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:2 with lines title 'data-1', \
"data_input.dat" using 1:3 with lines title 'data-3' \
"data_input.dat" using 1:5 with lines title 'data-5' \
-----------------------------------------------------------------------------
matplotlib is another even better option for advanced graph creation
More examples:
Gnuplot 4.2 Tutorial
http://www.duke.edu/~hpgavin/gnuplot.html
Plot your graphs with command line gnuplot » Linux by Examples
http://linux.byexamples.com/archives/487/plot-your-graphs-with-command-line-gnuplot/
Data visualization tools for Linux
http://www.ibm.com/developerworks/linux/library/l-datavistools/
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:5 with lines
-----------------------------------------------------------------------------
4) To plot two data series in the same plot and label each line:
add next series after a comma
-----------------------------------------------------------------------------
set terminal png
set output "plot.png"set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:2 with lines title 'data-1', "data_input.dat" using 1:5 with lines title 'data-5'
-----------------------------------------------------------------------------
To plot many series, it's convenient to use the line continuation character, "\" .
-----------------------------------------------------------------------------
set terminal png
set output "plot.png"set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:2 with lines title 'data-1', \
"data_input.dat" using 1:3 with lines title 'data-3' \
"data_input.dat" using 1:5 with lines title 'data-5' \
-----------------------------------------------------------------------------
5) Running it from a script
Put all these commands into a script and run if you have to run them several times
-----------------------------------------------------------------------------
#!/usr/bin/gnuplot
reset
set terminal png
set output "plot.png"reset
set terminal png
set ylabel "RMS"
set xlabel "Time"
set grid
plot "data_input.dat" using 1:2 with lines title 'data-1', \
"data_input.dat" using 1:3 with lines title 'data-3' \
"data_input.dat" using 1:5 with lines title 'data-5' \
-----------------------------------------------------------------------------
matplotlib is another even better option for advanced graph creation
More examples:
Gnuplot 4.2 Tutorial
http://www.duke.edu/~hpgavin/gnuplot.html
Plot your graphs with command line gnuplot » Linux by Examples
http://linux.byexamples.com/archives/487/plot-your-graphs-with-command-line-gnuplot/
Data visualization tools for Linux
http://www.ibm.com/developerworks/linux/library/l-datavistools/