如何使用awk从文件中获取所有与统计信息相关的信息？

Question

我正在尝试使用解析一些CSV文件awk.

我正在使用的CSV文件如下所示:

fnName,minAccessTime,maxAccessTime
getInfo,300,600
getStage,600,800
getStage,600,800
getInfo,250,620
getInfo,200,700
getStage,700,1000
getInfo,280,600

我需要在所有数据和单个函数中找到第2列和第3列的最小值,最大值和平均值.

Answer 1

我意识到你并不是在寻找非awk解决方案,但我想我会分享一些R代码来证明总结数据的无缝性.

# read in data
awk <- read.table(textConnection("fnName,minAccessTime,maxAccessTime
getInfo,300,600
getStage,600,800
getStage,600,800
getInfo,250,620
getInfo,200,700
getStage,700,1000
getInfo,280,600"), header = TRUE, sep = ",")

# split according to the function
awk.split <- split(awk, awk$fnName)

# for each function, calculate full summary for columns 2 and 3
lapply(X = awk.split, FUN = function(x) {
            summary(x[2:3])
        })

结果:

$getInfo
 minAccessTime   maxAccessTime
 Min.   :200.0   Min.   :600  
 1st Qu.:237.5   1st Qu.:600  
 Median :265.0   Median :610  
 Mean   :257.5   Mean   :630  
 3rd Qu.:285.0   3rd Qu.:640  
 Max.   :300.0   Max.   :700  

$getStage
 minAccessTime   maxAccessTime   
 Min.   :600.0   Min.   : 800.0  
 1st Qu.:600.0   1st Qu.: 800.0  
 Median :600.0   Median : 800.0  
 Mean   :633.3   Mean   : 866.7  
 3rd Qu.:650.0   3rd Qu.: 900.0  
 Max.   :700.0   Max.   :1000.0