BlackHat
BlackHat

Reputation: 755

Replace entire line with string and replace part of a line with a string

I'm trying to clean up the following dataset to maintain some consistency within the Changes field.

Input:

test_data <- data.frame(ID=c('[email protected]', '[email protected]'),
                        Changes=c('3 max cost changes
  productxyz > pb100  > a : Max cost decreased from $0.98 to $0.83
  productxyz > pb2  > a : Max cost decreased from $1.07 to $0.91
  productxyz > pb2  > b : Max cost decreased from $0.65 to $0.55', 
                                  '2 max cost changes
  productabc > Everything else in "auto & truck maintenance" : Max CPC increased from $0.81 to $0.97
  productabc > pb1000  > x : Max cost decreased from $1.44 to $1.22
  productabc > pb10000  > Everything else in pb10000 : Max CPC increased from $0.63 to $0.76'), stringsAsFactors=FALSE)
  1. I want to delete all lines within a given field where the first ">" is followed by "Everything. I'll like to remove that entire line.

  2. For cases where "Everything" occurs after the second ">", i'll like to replace from "Everything" to ":" with "q"

Output:

out_data <- data.frame(ID=c('[email protected]', '[email protected]'),
                        Changes=c('3 max cost changes
  productxyz > pb100  > a : Max cost decreased from $0.98 to $0.83
  productxyz > pb2  > a : Max cost decreased from $1.07 to $0.91
  productxyz > pb2  > b : Max cost decreased from $0.65 to $0.55', 
                                  '2 max cost changes
  productabc > pb1000  > x : Max cost decreased from $1.44 to $1.22
  productabc > pb10000  > q : Max CPC increased from $0.63 to $0.76'), stringsAsFactors=FALSE)

Thanks.

Upvotes: 0

Views: 62

Answers (1)

Carlos Cinelli
Carlos Cinelli

Reputation: 11597

Maybe not the best solution, but it gets what you want in the test_data:

clean_text <- function(x){
  x <- gsub("(> .* > )Everything else in .* :", "\\1 q :", x)
  x <- gsub("\n .* Everything else in .*?\n", "", x)
  x
}
out_data <- test_data
out_data[,2] <- clean_text(test_data[,2])
out_data
             ID
1  [email protected]
2 [email protected]
                                                                                                                                                                                                                                                                                                                     Changes
1 3 max cost changes\n                                  productxyz > pb100  > a : Max cost decreased from $0.98 to $0.83\n                                  productxyz > pb2  > a : Max cost decreased from $1.07 to $0.91\n                                  productxyz > pb2  > b : Max cost decreased from $0.65 to $0.55
2                                                                                                2 max cost changes                                  productabc > pb1000  > x : Max cost decreased from $1.44 to $1.22\n                                  productabc > pb10000  >  q : Max CPC increased from $0.63 to $0.76

Upvotes: 1

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