使用正则表达式分离R中的列并分开（tidyr）

Question

这就是我希望能够做到的。 https://regex101.com/r/KchccA/1

我想匹配中间=和之间的任何字符，同时还要考虑是否存在空捕获组，因为我希望每行填充所有字段。

行的示例：在此示例中，Address4，County和Contact名称为null。您还可以看到一些错误/不正确的值。我还需要删除一些初始/结束文本。

x <- "Please enter an UT location before booking the order.. ADDRESS_VALIDATION_FAILED (SITE_TYPE=uct) (SITE_USE_ID=1000) (CUSTOMER_NAME=cname) (CUSTOMER_NUMBER=2000) (ADDRESS1=addy1) (ADDRESS2=addy2) (ADDRESS3=addy3) (ADDRESS4=) (CITY=.) (STATE=) (ZIP=0000) (COUNTY=) (COUNTRY=NO) (CONTACT_NAME=) The task is raised for line_number: 7"

然而在R中，当我尝试使用tidyr的单独方法时，我最终得到了不良结果。我没有逃脱它吗？

这是我的代码：

df.sub <- separate(data = main.data, col = Order.Task.Text.CCW, into = c("SITE_TYPE", "SITE_USE_ID", "CUSTOMER_NAME","CUSTOMER_NUMBER", "ADDRESS1", "ADDRESS2", "ADDRESS3", "ADDRESS4", "CITY", "STATE", "ZIP", "COUNTY", "COUNTRY", "CONTACT_NAME"), sep = "=([^\\)]+|())\\)")

结果示例：

   SITE_TYPE    SITE_USE_ID   CUSTOMER_NAME      CUSTOMER_NUMBER       
1  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER
2  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER
3  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER
4  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER

---

结局Solutyon

这是我对任何好奇的最终解决方案，基于正确的答案格式化以便于查看。

p <- proto(
 pre = function(.) .$k <- 0,
 fun = function(., x) {
 if (x == "(") .$k <- .$k + 1 else if (x == ")") .$k <- .$k - 1
 if (x == "(" && .$k == 1) "" else if (x == ")" && .$k == 0) "\n" else x
})
df.sub.final <- df.sub$text %>%
sub("^[^\\(]*\\(", "(", .) %>% 
sub("\\)[^\\)]*$", ")", .) %>% 
gsub("\n", "", .) %>%
gsub("=", ": ", .) %>%
gsubfn("([\\(\\)]) *", p, .) %>%
textConnection %>%
read.dcf %>%
as.data.frame(.)

Answer 1

关于有效输入是什么似乎存在一些不确定性。以下是基于不同假设的几个不同答案。所有都将输入转换为dcf格式（即name：value），然后使用read.dcf。

！）平衡的括号。

转换为dcf格式（即name：value）。

我们可以用gsubfn处理平衡的括号。首先创建一个原型对象，其pre函数将计数器k初始化为零，然后对于(或)的每个匹配，函数fun输入它并递增或递减k输出适当的替换字符。有关详细信息，请参阅gsubfn包装插图。

现在从x开始替换开头的垃圾，替换= with：和一个空格然后运行gsubfn匹配（或），然后用我们定义的proto对象运行可选空间。最后使用read.dcf阅读转换后的文本。

library(gsubfn)
library(magrittr)

p <- proto(
 pre = function(.) .$k <- 0,
 fun = function(., x) {
  if (x == "(") .$k <- .$k + 1 else if (x == ")") .$k <- .$k - 1
  if (x == "(" && .$k == 1) "" else if (x == ")" && .$k == 0) "\n" else x
})

x %>%
  sub("^.*?\\(", "(", .) %>%
  gsub("=", ": ", .) %>%
  gsubfn("([\\(\\)]) *", p, .) %>%
  textConnection %>%
  read.dcf

2）嵌套括号没有相邻的空格

x <- "(SITE_TYPE=Site1) (SITE_USE_ID=2000) (CUSTOMER_NAME=cname) (CUSTOMER_NUMBER=11111) (ADDRESS1=addy1) (ADDRESS2=addy2) (ADDRESS3=addy3) (ADDRESS4=) (CITY=.) (STATE=) (ZIP=0000) (COUNTY=) (COUNTRY=NO) (CONTACT_NAME=)"


library(magrittr)

x %>%
  paste0(" ") %>%
  sub("^.*?\\(", "", .) %>%
  gsub(" +\\(", " ", .) %>%
  gsub("=", ": ", .) %>%
  gsub("\\) ", "\n", .) %>%
  textConnection %>%
  read.dcf

赠送：

     SITE_TYPE SITE_USE_ID CUSTOMER_NAME CUSTOMER_NUMBER ADDRESS1 ADDRESS2
[1,] "Site1"   "2000"      "cname"       "11111"         "addy1"  "addy2" 
     ADDRESS3 ADDRESS4 CITY STATE ZIP    COUNTY COUNTRY CONTACT_NAME
[1,] "addy3"  ""       "."  ""    "0000" ""     "NO"    ""     

3）固定关键字遵循左外括号。

对于这个，内括号可以是不平衡的，但外括号后面总是跟着cn中的一个关键字。

x <- "ADDRESS_VALIDATION_FAILED (SITE_TYPE=site1) (SITE_USE_ID=200) (CUSTOMER_NAME=abc) (CUSTOMER_NUMBER=1000) (ADDRESS1=issue here (some more text) (ADDRESS2=) (ADDRESS3=) (ADDRESS4=) (CITY=city, ) (STATE=na) (ZIP=250) (COUNTY=) (COUNTRY=NA) (CONTACT_NAME=)"

cn <- c("SITE_TYPE", "SITE_USE_ID", "CUSTOMER_NAME", "CUSTOMER_NUMBER", 
"ADDRESS1", "ADDRESS2", "ADDRESS3", "ADDRESS4", "CITY", "STATE", 
"ZIP", "COUNTY", "COUNTRY", "CONTACT_NAME")
rx <- sprintf(".(%s)", paste(cn, collapse = "|"))

x %>%
  sub("^.*?\\(", "(", .) %>%
  gsub("=", ": ", .) %>%
  gsub(rx, "\n\\1", .) %>%
  gsub("\\) *\\n", "\n", .) %>%
  sub("\\)$", "", .) %>%
  textConnection %>%
  read.dcf

赠送：

     SITE_TYPE SITE_USE_ID CUSTOMER_NAME CUSTOMER_NUMBER
[1,] "site1"   "200"       "abc"         "1000"         
     ADDRESS1                     ADDRESS2 ADDRESS3 ADDRESS4 CITY    STATE
[1,] "issue here (some more text" ""       ""       ""       "city," "na" 
     ZIP   COUNTY COUNTRY CONTACT_NAME
[1,] "250" ""     "NA"    ""          

注意

可重复形式的输入是：