GnuPlot:按第一个值的多个图 [英] GnuPlot: multiple graphs by first value

查看:62
本文介绍了GnuPlot:按第一个值的多个图的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我是GnuPlot的新手,感到有点困惑.我有这样的数据:

I'm new to GnuPlot and find it a bit confusing. I have data like this:

sensor1 timestamp   temperature
sensor1 timestamp   temperature
sensor1 timestamp   temperature
sensor2 timestamp   temperature
sensor2 timestamp   temperature
sensor2 timestamp   temperature
sensor3 timestamp   temperature
sensor3 timestamp   temperature

我仅对产生预期结果的一个传感器使用以下内容.

I use the following for only one sensor which produces the expected result.

使用2:($ 3/100.0):1并用线绘制'sensors.txt'

我想使用第一个值作为图形标题为每个传感器绘制图形.这听起来不像是一个复杂的问题,但是除了将每个传感器的数据分成一个文件外,我无法弄清楚.有更优雅的解决方案吗?

I want draw a graph for every sensor using the first value as the graph's title. It does not sound like a to complex problem but I could not figure it out other than splitting the data up into one file for each sensor. Is there a more elegant solution?

推荐答案

对此的一种解决方案是通过三元运算符按关键字进行过滤(请参见 help ternary ).

A solution to this is filtering by keyword via the ternary operator (see help ternary).

您没有显示示例数据,所以我假设一些事情.

You don't show example data, so I assume something.

代码:

### split data by keyword for each plot
reset session

$Data <<EOD
sensor1  2020-06-21 12:00  24.3
sensor1  2020-06-21 13:00  25.3
sensor1  2020-06-21 14:00  22.3
sensor2  2020-06-21 15:00  23.3
sensor2  2020-06-21 16:00  22.3
sensor2  2020-06-21 17:00  21.3
sensor3  2020-06-21 18:00  25.3
sensor3  2020-06-21 19:00  23.3
sensor3  2020-06-21 20:00  27.3
EOD

myTimeFmt = "%Y-%m-%d %H-%M"
myFilter(fcol,key,dcol) = strcol(fcol) eq key ? column(dcol) : NaN
set datafile missing NaN
set format x "%Y\n%m-%d\n%H:%M" time
set xtics font ",8"
set ytics 1

set multiplot layout 3,1
    do for [i=1:3] {
        myKey = sprintf("sensor%d",i)
        set title myKey
        plot $Data u (timecolumn(2,myTimeFmt)):(myFilter(1,myKey,4)) w lp pt 7 lc i title myKey
    }
unset multiplot
### end of code

结果:

这篇关于GnuPlot:按第一个值的多个图的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆