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    <p>I tried to recreate the plot of your question and this is what I came up with:</p> <pre><code>unset border set polar set angles degrees #set gnuplot on degrees instead of radians set style line 10 lt 1 lc 0 lw 0.3 #redefine a new line style for the grid set grid polar 60 #set the grid to be displayed every 60 degrees set grid ls 10 set xrange [-6000:6000] #make gnuplot to go until 6000 set yrange [-6000:6000] set xtics axis #disply the xtics on the axis instead of on the border set ytics axis set xtics scale 0 #"remove" the tics so that only the y tics are displayed set xtics ("" 1000, "" 2000, "" 3000, "" 4000, "" 5000, "" 6000) #set the xtics only go from 0 to 6000 with increment of1000 but do not display anything. This has to be done otherwise the grid will not be displayed correctly. set ytics 0, 1000, 6000 #make the ytics go from the center (0) to 6000 with incrment of 1000 set size square set key lmargin set_label(x, text) = sprintf("set label '%s' at (6500*cos(%f)), (6500*sin(%f)) center", text, x, x) #this places a label on the outside #here all labels are created eval set_label(0, "0") eval set_label(60, "60") eval set_label(120, "120") eval set_label(180, "180") eval set_label(240, "240") eval set_label(300, "300") set style line 11 lt 1 lw 2 pt 2 ps 2 #set the line style for the plot #and finally the plot plot "-" u 1:2 t "Max strain" w lp ls 11 0 3400 60 5300 120 4700 180 3800 240 4100 300 3100 360 3400 e </code></pre> <p><img src="https://i.stack.imgur.com/BMpqq.jpg" alt="Plot of the script above"></p> <p>As you can see, the major difference is that the angle 0 is not on top but on the right (which is mathematically correct). You can change this however by modifying the using deceleration in the plot and the set_label function.</p> <p>As you can see in the script not everything is really crisp and shiny. If someone finds improvements please let me know!</p> <p>One last bit of "advice": It is not always reasonable to try to reproduce a plot from some tool with gnuplot. Often the strength of gnuplot is to plot data in the most simple way to be easily reproducible. Maybe you can kick some lines out of that script above and still be happy with it.</p>
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