努力将多个图表合并为一个并使用 Gnuplot 保持清晰
Struggling to merge multiples charts in one and keeping it clear with Gnuplot
之前我在 Gnuplot 中有四个图表来传达我的数据信息。然而，我需要在一个独特的图表中显示所有内容，因为所有图表都在传达相关数据，但比例不同。比如scale(8:8)我用X，scale(16:16)我用+，scale(8:16)我用square，scale(8:24)我用circle.
我所说的问题是它最终会变得凌乱并且图表在可读性方面看起来很脏。但是，也许 Gnuplot 为我提供了一个我仍然不知道的更好的解决方案。这是我的 Gnuplot 代码，可以找到数据文件 here.
#!/usr/bin/gnuplot
reset session
set style line 1 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner input throughput - 8combines.8reducers
set style line 2 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner output throughput - 8combines.8reducers
set style line 3 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # static-combiner input throughput - 8combines.8reducers
set style line 4 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # static-combiner output throughput - 8combines.8reducers
set style line 5 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # no-combiner input throughput - 8combines.8reducers
set style line 6 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # no-combiner output throughput - 8combines.8reducers
set style line 7 lc rgb '#008000' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner average processing latency - 8combines.8reducers
set style line 8 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner 99th percentile processing latency - 8combines.8reducers
set style line 9 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner input throughput - 16combines.16reducers
set style line 10 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner output throughput - 16combines.16reducers
set style line 11 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # static-combiner input throughput - 16combines.16reducers
set style line 12 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # static-combiner output throughput - 16combines.16reducers
set style line 13 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # no-combiner input throughput - 16combines.16reducers
set style line 14 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # no-combiner output throughput - 16combines.16reducers
set style line 15 lc rgb '#008000' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner average processing latency - 16reducers.8reducers
set style line 16 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner 99th percentile processing latency - 16reducers.8reducers
set style line 17 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner input throughput - 8combines.16reducers
set style line 18 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner output throughput - 8combines.16reducers
set style line 19 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # static-combiner input throughput - 8combines.16reducers
set style line 20 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # static-combiner output throughput - 8combines.16reducers
set style line 21 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # no-combiner input throughput - 8combines.16reducers
set style line 22 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # no-combiner output throughput - 8combines.16reducers
set style line 23 lc rgb '#008000' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner average processing latency - 8combines.16reducers
set style line 24 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner 99th percentile processing latency - 8combines.16reducers
set style line 25 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner input throughput - 8combines.24reducers
set style line 26 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner output throughput - 8combines.24reducers
set style line 27 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # static-combiner input throughput - 8combines.24reducers
set style line 28 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # static-combiner output throughput - 8combines.24reducers
set style line 29 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # no-combiner input throughput - 8combines.24reducers
set style line 30 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # no-combiner output throughput - 8combines.24reducers
set style line 31 lc rgb '#008000' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner average processing latency - 8combines.24reducers
set style line 32 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner 99th percentile processing latency - 8combines.24reducers
set term pdfcairo size 5.0in,3.5in
set pointintervalbox 0
set datafile separator ','
set output "efficiency-throughput-networkbuffer-TaxiRideNYC-500K-merged.pdf"
set title "Efficiency evaluation: throughput vs. network buffer usage\nworkload of 500K rec/sec and different topologies" font ",16" offset 0,0.5,0
myTimeFmt = "%Y-%m-%d %H:%M:%S"
set xtics nomirror
set key under center maxrows 1 horizontal
set key font ",9"
set ylabel "Throughput (K rec/sec)" font ",10" #offset 1,0,0
set xtics font ",8" offset 0,0.5,0
set format x "%tH:%tM" time
set xlabel "time (hour:minute)" font ",10" offset 0,1,0
set xrange [0:5400]
set yrange [0:7]
set y2label "Combiner buffer usage" font ",10" #offset -1.5,0,0
set y2range [20:100]
set ytics nomirror font ",10"
set y2tics 0, 20 font ",10"
set format y2 "%g%%"
plot t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(6)) skip 2 notitle "auto-combiner avg. buffer usage (8:8)" with linespoints ls 7 axis x1y2 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(6)/1000):(column(7)/1000) skip 2 title "auto-combiner avg. buffer usage (8:8)" with yerrorbars ls 7 axis x1y2 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (16:16)" with linespoints ls 11 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (16:16)" with yerrorbars ls 11 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (8:16)" with linespoints ls 19 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (8:16)" with yerrorbars ls 19 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (8:24)" with linespoints ls 27 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (8:24)" with yerrorbars ls 27 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (8:8)" with linespoints ls 3 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (8:8)" with yerrorbars ls 3 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner input throughput (8:16)" with linespoints ls 21 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner input throughput (8:16)" with yerrorbars ls 21 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner throughput (16:16)" with linespoints ls 13 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner throughput (16:16)" with yerrorbars ls 13 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner input throughput (8:24)" with linespoints ls 29 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner input throughput (8:24)" with yerrorbars ls 29 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner throughput (8:8)" with linespoints ls 5 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner throughput (8:8)" with yerrorbars ls 5 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (16:16)" with linespoints ls 9 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (16:16)" with yerrorbars ls 9 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (8:8)" with linespoints ls 1 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (8:8)" with yerrorbars ls 1 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (8:16)" with linespoints ls 17 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (8:16)" with yerrorbars ls 17 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (8:24)" with linespoints ls 25 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (8:24)" with yerrorbars ls 25 axis x1y1 \
我要问的第一件事是将图例合并为 X、+、正方形和圆形组。但是，我认为该图表仍然一团糟。如何仅使用一张图表以清晰的方式显示我拥有的所有信息？我想我最后可能不得不删除一些行。但我想在开始之前了解其他选择。
感谢您的建议！
我最终使用了 Gnuplot 3D 的 fence plot constructed with separate parametric surfaces，splot 可用 here。
之前我在 Gnuplot 中有四个图表来传达我的数据信息。然而，我需要在一个独特的图表中显示所有内容，因为所有图表都在传达相关数据，但比例不同。比如scale(8:8)我用X，scale(16:16)我用+，scale(8:16)我用square，scale(8:24)我用circle.
我所说的问题是它最终会变得凌乱并且图表在可读性方面看起来很脏。但是，也许 Gnuplot 为我提供了一个我仍然不知道的更好的解决方案。这是我的 Gnuplot 代码，可以找到数据文件 here.
#!/usr/bin/gnuplot
reset session
set style line 1 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner input throughput - 8combines.8reducers
set style line 2 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner output throughput - 8combines.8reducers
set style line 3 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # static-combiner input throughput - 8combines.8reducers
set style line 4 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # static-combiner output throughput - 8combines.8reducers
set style line 5 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # no-combiner input throughput - 8combines.8reducers
set style line 6 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # no-combiner output throughput - 8combines.8reducers
set style line 7 lc rgb '#008000' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner average processing latency - 8combines.8reducers
set style line 8 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.4 pt 2 pi 15 # auto-combiner 99th percentile processing latency - 8combines.8reducers
set style line 9 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner input throughput - 16combines.16reducers
set style line 10 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner output throughput - 16combines.16reducers
set style line 11 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # static-combiner input throughput - 16combines.16reducers
set style line 12 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # static-combiner output throughput - 16combines.16reducers
set style line 13 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # no-combiner input throughput - 16combines.16reducers
set style line 14 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # no-combiner output throughput - 16combines.16reducers
set style line 15 lc rgb '#008000' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner average processing latency - 16reducers.8reducers
set style line 16 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.4 pt 1 pi 15 # auto-combiner 99th percentile processing latency - 16reducers.8reducers
set style line 17 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner input throughput - 8combines.16reducers
set style line 18 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner output throughput - 8combines.16reducers
set style line 19 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # static-combiner input throughput - 8combines.16reducers
set style line 20 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # static-combiner output throughput - 8combines.16reducers
set style line 21 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # no-combiner input throughput - 8combines.16reducers
set style line 22 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # no-combiner output throughput - 8combines.16reducers
set style line 23 lc rgb '#008000' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner average processing latency - 8combines.16reducers
set style line 24 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.3 pt 5 pi 15 # auto-combiner 99th percentile processing latency - 8combines.16reducers
set style line 25 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner input throughput - 8combines.24reducers
set style line 26 lc rgb '#3274D9' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner output throughput - 8combines.24reducers
set style line 27 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # static-combiner input throughput - 8combines.24reducers
set style line 28 lc rgb '#FF780A' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # static-combiner output throughput - 8combines.24reducers
set style line 29 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # no-combiner input throughput - 8combines.24reducers
set style line 30 lc rgb '#E02F44' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # no-combiner output throughput - 8combines.24reducers
set style line 31 lc rgb '#008000' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner average processing latency - 8combines.24reducers
set style line 32 lc rgb '#9ACD32' lt 1 lw 1.0 ps 0.35 pt 7 pi 15 # auto-combiner 99th percentile processing latency - 8combines.24reducers
set term pdfcairo size 5.0in,3.5in
set pointintervalbox 0
set datafile separator ','
set output "efficiency-throughput-networkbuffer-TaxiRideNYC-500K-merged.pdf"
set title "Efficiency evaluation: throughput vs. network buffer usage\nworkload of 500K rec/sec and different topologies" font ",16" offset 0,0.5,0
myTimeFmt = "%Y-%m-%d %H:%M:%S"
set xtics nomirror
set key under center maxrows 1 horizontal
set key font ",9"
set ylabel "Throughput (K rec/sec)" font ",10" #offset 1,0,0
set xtics font ",8" offset 0,0.5,0
set format x "%tH:%tM" time
set xlabel "time (hour:minute)" font ",10" offset 0,1,0
set xrange [0:5400]
set yrange [0:7]
set y2label "Combiner buffer usage" font ",10" #offset -1.5,0,0
set y2range [20:100]
set ytics nomirror font ",10"
set y2tics 0, 20 font ",10"
set format y2 "%g%%"
plot t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(6)) skip 2 notitle "auto-combiner avg. buffer usage (8:8)" with linespoints ls 7 axis x1y2 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(6)/1000):(column(7)/1000) skip 2 title "auto-combiner avg. buffer usage (8:8)" with yerrorbars ls 7 axis x1y2 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (16:16)" with linespoints ls 11 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (16:16)" with yerrorbars ls 11 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (8:16)" with linespoints ls 19 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (8:16)" with yerrorbars ls 19 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (8:24)" with linespoints ls 27 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (8:24)" with yerrorbars ls 27 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-static-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "static-combiner input throughput (8:8)" with linespoints ls 3 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-static-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "static-combiner input throughput (8:8)" with yerrorbars ls 3 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner input throughput (8:16)" with linespoints ls 21 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner input throughput (8:16)" with yerrorbars ls 21 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner throughput (16:16)" with linespoints ls 13 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner throughput (16:16)" with yerrorbars ls 13 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner input throughput (8:24)" with linespoints ls 29 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner input throughput (8:24)" with yerrorbars ls 29 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-no-combiner-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000) skip 2 notitle "no-combiner throughput (8:8)" with linespoints ls 5 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-no-combiner-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(4)/1000):(column(5)/1000) skip 2 title "no-combiner throughput (8:8)" with yerrorbars ls 5 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (16:16)" with linespoints ls 9 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-16combiners-16reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (16:16)" with yerrorbars ls 9 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (8:8)" with linespoints ls 1 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-8reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (8:8)" with yerrorbars ls 1 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (8:16)" with linespoints ls 17 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-16reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (8:16)" with yerrorbars ls 17 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-all.csv" u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000) skip 2 notitle "auto-combiner input throughput (8:24)" with linespoints ls 25 axis x1y1 \
, t=0 "throughput-vs-networkbuffer-500K-8combiners-24reducers-all.csv" every 10 u (t==0?(t0=timecolumn(1,myTimeFmt),t=1):NaN, timecolumn(1,myTimeFmt)-t0):(column(2)/1000):(column(3)/1000) skip 2 title "auto-combiner input throughput (8:24)" with yerrorbars ls 25 axis x1y1 \
我要问的第一件事是将图例合并为 X、+、正方形和圆形组。但是，我认为该图表仍然一团糟。如何仅使用一张图表以清晰的方式显示我拥有的所有信息？我想我最后可能不得不删除一些行。但我想在开始之前了解其他选择。
感谢您的建议！
我最终使用了 Gnuplot 3D 的 fence plot constructed with separate parametric surfaces，splot 可用 here。