![]() Plot=( '"stat.dat"' using 1:8 title '"used"' with lines, '"stat.dat"' using 1:9 title '"buff"' with lines, '"stat.dat"' using 1:10 title '"cach"' with lines, '"stat.dat"' using 1:11 title '"free"' with lines ) Plot=( '"stat.dat"' using 1:3 title '"system"' with lines, '"stat.dat"' using 1:2 title '"user"' with lines, '"stat.dat"' using 1:4 title '"idle"' with lines ) Ylabel= '"percent"' # Using an arry presrving the '"quotes"' is very much nessary ![]() Gnuplot << EOF set terminal $fileType set output $output set title $title set xlabel $xlabel set xdata time set ylabel $ylabel set timefmt "%d-%m %H:%M:%S" set format x "%H:%M" plot $ EOF & echo "Please check if you have installed dstat" & exit 1Įxec 2> /dev/null kill $! > /dev/null 2>&1 #!/bin/bash #Author : Hemanth H.M #Licence : GNU GPLv3 # UsageĮcho "Usage is $0 a|m|n|c|h" echo "-a or -all to plot cpu(c),mem(m) and net(n)"Įcho "Collecting stats for 60sec with an interval of 10sec" I have written a small script to plot the performance of the machine considering CPU,Memory and Network into picture. auto (default) automatically choose the best strategy.This post, is not elaborating on dstat or GNUplot but rather focusing directly on how to plotting performance graph of a GNU/Linux box.text: may be slow for large datasets, but no temporary file is involved. ![]() bin: fastest solution for large datasets, but uses temporary files.preferred_format::Symbol: preferred format to send data to gnuplot.verbose::Bool: verbosity flag (default: false).x, y (as AbstractVector: commands to initialize the session when it is created or reset (e.g., to set default palette).This feature is not available in dry mode and will raise an error if used. If a suitable recipe do not exists an error is raised. you can use xr= in place of xrange=.Ī PlotElement object is expanded in its fields and processed as one of the previous arguments Īny other data type is processed through an implicit recipe. cbrange=> "set cbrange Īll Keyword names can be abbreviated as long as the resulting name is unambiguous.The accepted keywords and their corresponding gnuplot commands are as follows: Note that the dataset name must always start with a " $" Īn input in the form keyword=value is interpreted as a keyword/value pair. If it given as last argument it avoids immediately running all commands to create the final plot Īny other symbol is interpreted as a session ID Īn Int (>= 1) is interpreted as the plot destination in a multi-plot session (this specification applies to subsequent arguments, not previous ones) Īn input in the form "\$name"=>(array1, array2, etc.) is interpreted as a named dataset. If given as first argument it avoids starting a new plot. The special symbol :- allows to split one long statement into multiple (shorter) ones. Moreover, "plot" and "splot" can be abbreviated to "p" and "s" respectively ![]() All keywords may be abbreviated following gnuplot conventions. set grid) Ī string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc. The number of required input arrays depends on the chosen plot style (see gnuplot documentation) Ī string occurring before a dataset is interpreted as a gnuplot command (e.g. The different arrays are accessible as columns 1, 2, etc. One, or a group of consecutive, array(s) of either Real or String build up a dataset. The macros accepts any number of arguments, with the following meaning: The macro, and its companion for 3D plots, allows to send data and commands to the gnuplot using an extremely concise syntax.
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