将连续的非数字元素粘贴在一起

时间:2018-09-16 19:28:50

标签: r regex text replace stringr

问题

在识别出满足非数字模式的字符向量中的元素之后,如何将连续满足模式的那些元素粘贴在一起?

概述

sample_text主要包含两种模式:

  • 奇数元素:包含6位数字,后跟文本;
  • 偶数元素:包含4位数字,后跟文本。

但是,有一些非数字文本实例属于其前面的奇数元素。

以前的解决方案

以前,我不知道字符向量中连续的非数字元素。这使我可以将每个非数字元素手动粘贴到该元素,该元素直接位于非数字元素后面两个元素。

# load necessary package
library(tidyverse) --------

# load necessary data ------
sample_text <-
  c("811411 Home and Garden Equipment Repair and"   
    , "7699 Repair Services, Nec"
    , "Maintenance" # non-digit pattern
    , "811412 Appliance Repair and Maintenance"       
    , "7623 Refrigeration Service and Repair"         
    , "811412 Appliance Repair and Maintenance"       
    , "7629 Electrical Repair Shops")

# previous solution -------
sample_text %>%
  # for those elements which satisfy the non-digit pattern
  # identify the index of those elements which are exactly two behind
  replace(list = str_detect(., "^\\D*$") %>% which() - 2
          # of those elements which are exactly two behind the non-digit pattern
          # paste the non-digit pattern to the end of them.
          , values = paste(.[str_detect(., "^\\D*$") %>% which() - 2]
                           , str_subset(., "^\\D*$"))) %>%
  # only keep elements with digits
  str_subset("\\d")

# [1] "811411 Home and Garden Equipment Repair and Maintenance" # successfully copied the non-digit element and pasted it two elements behind
# [2] "7699 Repair Services, Nec"                             
# [3] "811412 Appliance Repair and Maintenance"                
# [4] "7623 Refrigeration Service and Repair"                  
# [5] "811412 Appliance Repair and Maintenance"                
# [6] "7629 Electrical Repair Shops" 

# end of script #

当前问题

现在我意识到sample_text包含连续的非数字元素,因此我不确定如何更新以前的解决方案。任何帮助将不胜感激!

# sample data -----
sample_text <-
  c("811310 Commercial and Industrial Machinery and"
    , "7692 Welding Repair"                           
    , "Equipment (except Automotive and" # non-digit pattern (1/2)           
    , "Electronic) Repair and Maintenance" # non-digit pattern (2/2)         
    , "811310 Commercial and Industrial Machinery and"
    , "7694 Armature Rewinding Shops"                 
    , "Equipment (except Automotive and" # non-digit pattern (1/2)           
    , "Electronic) Repair and Maintenance" # non-digit pattern (2/2)    
    , "811310 Commercial and Industrial Machinery and"
    , "7699 Repair Services, Nec"                     
    , "Equipment (except Automotive and" # non-digit pattern (1/2)         
    , "Electronic) Repair and Maintenance" # non-digit pattern (2/2)        
    , "811411 Home and Garden Equipment Repair and"   
    , "7699 Repair Services, Nec"                     
    , "Maintenance" # non-digit pattern (1/1)                               
    , "811412 Appliance Repair and Maintenance"       
    , "7623 Refrigeration Service and Repair"         
    , "811412 Appliance Repair and Maintenance"       
    , "7629 Electrical Repair Shops"                  
    , "811412 Appliance Repair and Maintenance"       
    , "7699 Repair Services, Nec")

# desired output ------
 [1] "811310 Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance"
 [2] "7692 Welding Repair"           
 [3] "811310 Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance"
 [4] "7694 Armature Rewinding Shops"           
 [5] "811310 Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance"
 [6] "7699 Repair Services, Nec"           
 [7] "811411 Home and Garden Equipment Repair and Maintenance"   
 [8] "7699 Repair Services, Nec"                       
 [9] "811412 Appliance Repair and Maintenance"       
[10] "7623 Refrigeration Service and Repair"         
[11] "811412 Appliance Repair and Maintenance"       
[12] "7629 Electrical Repair Shops"                  
[13] "811412 Appliance Repair and Maintenance"       
[14] "7699 Repair Services, Nec"

1 个答案:

答案 0 :(得分:1)

从预期的输出中猜测,您遍历向量,并且如果一行不包含任何数字,则应将其添加到元素之前,即当前index - 1:

x <- c()
for(i in sample_text){
  if(grepl("^\\D*$",i, perl=TRUE)) {
    x[length(x)-1] <- paste(x[length(x)-1], i)
  } else {
    x <- c(x, i) #append
  }
}

输出:

 [1] "811310 Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance"
 [2] "7692 Welding Repair"                                                                                               
 [3] "811310 Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance"
 [4] "7694 Armature Rewinding Shops"                                                                                     
 [5] "811310 Commercial and Industrial Machinery and Equipment (except Automotive and Electronic) Repair and Maintenance"
 [6] "7699 Repair Services, Nec"                                                                                         
 [7] "811411 Home and Garden Equipment Repair and Maintenance"                                                           
 [8] "7699 Repair Services, Nec"                                                                                         
 [9] "811412 Appliance Repair and Maintenance"                                                                           
[10] "7623 Refrigeration Service and Repair"                                                                             
[11] "811412 Appliance Repair and Maintenance"                                                                           
[12] "7629 Electrical Repair Shops"                                                                                      
[13] "811412 Appliance Repair and Maintenance"                                                                           
[14] "7699 Repair Services, Nec"        

Online sample