如何使用gnuplot添加带有标签的垂直线？

我有这个脚本来使用gnuplot从CSV文件打印数据。我想在绘图上不同时间添加3条垂直线，以显示我在哪里更改了实验的工作量。我试图用vector来做，但它弄乱了已经绘制的数据。我附上我的图表，并手动添加垂直蓝线作为我想要的示例

#!/usr/bin/gnuplot

# set grid
set key under left maxrows 1
set style line 1 lc rgb '#E02F44' lt 1 lw 1 ps 0.5 pt 7 # input throughput
set style line 2 lc rgb '#FF780A' lt 1 lw 1 ps 0.5 pt 1 # output throughput
set style line 3 lc rgb '#56A64B' lt 1 lw 1 ps 0.5 pt 2 # average processing latency
set style line 4 lc rgb '#000000' lt 1 lw 1 ps 0.5 pt 3 # 99th percentile processing latency

set terminal pdf
set pointintervalbox 0
set datafile separator ','
set output "efficiency-throughput-networkbuffer-baseline-TaxiRideNYC-100Kpersec.pdf"
set title "Throughput vs. processing latency consuming 50K r/s from the New York City (TLC)"
set xlabel "time (minutes)"
set ylabel "Throughput (K rec/sec)"
set y2label "processing latency (seconds)"
set ytics nomirror
set y2tics 0, 1
set xdata time # tells gnuplot the x axis is time data
set timefmt "%Y-%m-%d %H:%M:%S" # specify our time string format
set format x "%M" # otherwise it will show only MM:SS
plot "throughput-latency-increasing.csv" using 1:(column(2)/1000) title "IN throughput" with linespoints ls 1 axis x1y1 \
, "throughput-latency-increasing.csv" using 1:(column(10)/1000) title "OUT throughput" with linespoints ls 2 axis x1y1 \
, "throughput-latency-increasing.csv" using 1:(column(18)/1000) title "avg. latency" with linespoints ls 3 axis x1y2 \
, "throughput-latency-increasing.csv" using 1:(column(26)/1000) title "99th perc. latency" with linespoints ls 4 axis x1y2 \
#, "" using 1:($1):(3):(0) notitle with vectors nohead

我的数据文件是：

"Time","pre_aggregate[0]-IN","pre_aggregate[1]-IN","pre_aggregate[2]-IN","pre_aggregate[3]-IN","pre_aggregate[4]-IN","pre_aggregate[5]-IN","pre_aggregate[6]-IN","pre_aggregate[7]-IN","pre_aggregate[0]-OUT","pre_aggregate[1]-OUT","pre_aggregate[2]-OUT","pre_aggregate[3]-OUT","pre_aggregate[4]-OUT","pre_aggregate[5]-OUT","pre_aggregate[6]-OUT","pre_aggregate[7]-OUT","pre_aggregate[0]-50","pre_aggregate[1]-50","pre_aggregate[2]-50","pre_aggregate[3]-50","pre_aggregate[4]-50","pre_aggregate[5]-50","pre_aggregate[6]-50","pre_aggregate[7]-50","pre_aggregate[0]-99","pre_aggregate[1]-99","pre_aggregate[2]-99","pre_aggregate[3]-99","pre_aggregate[4]-99","pre_aggregate[5]-99","pre_aggregate[6]-99","pre_aggregate[7]-99"
"2020-04-27 10:31:00",1428.05,1274.4666666666667,1364.6166666666666,1384.4666666666667,1327.3,1376.5,1390.9166666666667,1418.35,1428.05,1274.4666666666667,1364.6333333333334,1384.4666666666667,1327.3,1376.5,1390.9166666666667,1418.35,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1
"2020-04-27 10:31:15",1463.5833333333333,1452.3666666666666,1346.7333333333333,1380.3833333333334,1429.4833333333333,1431.6833333333334,1442.85,1425.15,1463.5833333333333,1452.3666666666666,1346.7333333333333,1380.3833333333334,1429.4833333333333,1431.6833333333334,1442.85,1425.15,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1
"2020-04-27 10:31:30",1393.4666666666667,1396.65,1369.55,1381.3833333333334,1336.8,1434.5166666666667,1440.0833333333333,1399.2833333333333,1393.45,1396.65,1369.55,1381.3833333333334,1336.8,1434.5166666666667,1440.0833333333333,1399.2833333333333,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1
"2020-04-27 10:31:45",1404.8833333333334,1448.5333333333333,1313.9,1308.1,1359.6333333333334,1329.5166666666667,1338.4166666666667,1481.5666666666666,1404.8833333333334,1448.5333333333333,1313.9,1308.1,1359.6333333333334,1329.5166666666667,1338.4166666666667,1481.5833333333333,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1

---

当然，您可以绘制线条和标签。在下面的示例中，与设置扩展数据时间相比，我使用了更新的语法。这需要timecolumn1、myTimeFmt和例如设置格式x%M时间。 您的日期是双引号，因此您必须使用单引号（包括双引号）定义时间格式。 此外，您使用的是绝对时间，因此您的行理想情况下使用相同的格式。您可以将其放入数据块中。我希望您可以根据自己的需要修改代码

代码：

结果:

---

当然，您可以绘制线条和标签。在下面的示例中，与设置扩展数据时间相比，我使用了更新的语法。这需要timecolumn1、myTimeFmt和例如设置格式x%M时间。 您的日期是双引号，因此您必须使用单引号（包括双引号）定义时间格式。 此外，您使用的是绝对时间，因此您的行理想情况下使用相同的格式。您可以将其放入数据块中。我希望您可以根据自己的需要修改代码

代码：

结果:

当然，如果需要单独设置，可以将ylow和yhigh以及偏移量或文本添加到数据块$myLines。如果需要单独设置，当然可以将ylow和yhigh以及偏移量或文本添加到数据块$myLines。

### vertical lines with labels on time axis
reset session

$myLines <<EOD
"2020-04-27 10:34:00"
"2020-04-27 10:39:20"
"2020-04-27 10:43:50"
"2020-04-27 10:48:00"
EOD

myTimeFmt = '"%Y-%m-%d %H:%M:%S"'
StartDate = '"2020-04-27 10:30:00"'
EndDate = '"2020-04-27 10:52:00"'
set format x "%M" time
set xrange [strptime(myTimeFmt,StartDate):strptime(myTimeFmt,EndDate)]

yLow = 1.4
yHigh = 3.5
set  tmargin screen 0.90

plot '+' u (strptime(myTimeFmt,StartDate)+$0*60):(rand(0)*3+0.5) w l lc rgb "red" notitle, \
     $myLines u (timecolumn(1,myTimeFmt)):(yHigh):("Workload\nchanged") w labels right offset -0.5,1.5 not, \
     $myLines u (timecolumn(1,myTimeFmt)):(yLow):(0):(yHigh-yLow) w vec lc rgb "blue" lw 2 nohead not
### end of code