我有以下一行
x<-"CUST_Id_8Name:Mr.Praveen KumarDOB:Mother's Name:Contact Num:Email address:Owns Car:Products held with Bank:Company Name:Salary per. month:Background:"
我想提取&#34; CUST_Id_8&#34;,&#34;先生。 Praveen Kumar&#34;以及在DOB之后写的任何内容:母亲的名字:联系人Num:等等,存储在客户ID,姓名,DOB等变量中。
请帮忙。
我用过
strsplit(x, ":")
但结果是包含文本的列表。但如果变量名后面没有任何内容,我需要空白。
any1可以告诉如何在两个单词之间提取字符串。就像我想提取&#34;先生。 Praveen Kumar&#34;在Name:和DOB之间
答案 0 :(得分:3)
您可以使用regexec
和regmatches
将各种数据项拉出为子字符串。这是一个有效的例子:
示例数据
txt <- c("CUST_Id_8Name:Mr.Praveen KumarDOB:Mother's Name:Contact Num:Email address:Owns Car:Products held with Bank:Company Name:Salary per. month:Background:",
"CUST_Id_15Name:Mr.Joe JohnsonDOB:01/02/1973Mother's Name:BarbaraContact Num:0123 456789Email address:joe@joesville.comOwns Car:YesProducts held with Bank:Savings, CurrentCompany Name:Joes villeSalary per. month:$100000Background:shady")
要匹配的模式:
pattern <- "CUST_Id_(.*)Name:(.*)DOB:(.*)Mother's Name:(.*)Contact Num:(.*)Email address:(.*)Owns Car:(.*)Products held with Bank:(.*)Company Name:(.*)Salary per. month:(.*)Background:(.*)"
var_names <- strsplit(pattern, "[:_]\\(\\.\\*\\)")[[1]]
运行匹配:
data <- as.data.frame(do.call("rbind", regmatches(txt, regexec(pattern, txt))))[, -1]
colnames(data) <- var_names
输出:
# CUST_Id Name DOB Mother's Name Contact Num
#1 8 Mr.Praveen Kumar
#2 15 Mr.Joe Johnson 01/02/1973 Barbara 0123 456789
# Email address Owns Car Products held with Bank Company Name
#1
#2 joe@joesville.com Yes Savings, Current Joes ville
# Salary per. month Background
#1
#2 $100000 shady
答案 1 :(得分:2)
如果您事先知道密钥,则可以提取如下值:
keys <- c("CUST_Id_8Name", "DOB", "Mother's Name",
"Contact Num", "Email address", "Owns Car", "Products held with Bank",
"Company Name", "Salary per. month", "Background")
cbind(keys, values = sub("^:", "", strsplit(x, paste0(keys, collapse = "|"))[[1]][-1]))
# keys values
# [1,] "CUST_Id_8Name" "Mr.Praveen Kumar"
# [2,] "DOB" ""
# [3,] "Mother's Name" ""
# [4,] "Contact Num" ""
# [5,] "Email address" ""
# [6,] "Owns Car" ""
# [7,] "Products held with Bank" ""
# [8,] "Company Name" ""
# [9,] "Salary per. month" ""
# [10,] "Background" ""