How to plot multiple y-axes?

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我寻月下人不归
我寻月下人不归 2021-01-02 17:00

I saw this graph and only for the curiosity sake was wondering whether it was possible to plot figure with multiple y-axis as in the figure

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  • 2021-01-02 17:10

    As andyras wrote, you can use the second y-axis if you only have two datasets. In this case, you also need to to

    set ytics nomirror # remove the tickmarks of the left ayis on the right side
    set y2tics         # make the right y-axis 'visible'
    

    If you want to plot more than one dataset, I would suggest to use multiplot. You can overlay several independent plots and put a unique offset to the y-axis for each of them. However, you need to take care that the number of y-tics and y-tick positions is the same.

    Plot:

    enter image description here

    (I did not care about the key here, this still needs adjustment)

    Code:

    set multiplot
    
    
    set xrange[0:10]
    
    # We need place to the left, so make the left margin 30% of screen
    set lmargin screen 0.3
    
    ##### first plot
    
    set ytics 0.4
    set yrange[-1.2:1.2]
    
    set ylabel "Voltage" textcolor rgb "red"
    
    plot sin(x)
    
    
    ##### Second plot
    
    set ytics 1
    set yrange[-3:3]
    
    set ytics offset  -8, 0
    set ylabel "Current" offset -8, 0 textcolor rgb "green"
    
    plot 3*cos(x) linecolor 2
    
    ##### Third plot
    
    set ytics 0.5
    set yrange[-1.5:1.5]
    
    
    set ytics offset -16, 0
    set ylabel "Power" offset -16, 0  textcolor rgb "blue"
    plot 3*sin(x)*cos(x) linecolor 3
    
    unset multiplot
    
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  • 2021-01-02 17:15

    Yes, you can have two y axes for free, e.g.

    plot x, x**2 axes x1y2
    

    The axes specification lets you put things on x1y1, x2y1, etc. If you want more than two things plotted on the same y axes you have to normalize things yourself:

    plot 'data1.dat' using 1:($2/MAX_1), \
      'data2.dat' using 1:($2/MAX_2), \
      'data3.dat' using 1:($s/MAX_3)
    

    The variables MAX_X can be precalculated by using the stats command in gnuplot 4.6+, or you can put them in manually.

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