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How can I show which special character was a match in each row of the single column dataframe?

The below is my dataframe:

a <- data.frame(name=c("foo","bar'","ip_sum","four","#","2_planet!","@abc!!"))

And for determining(if the string has a special character or not), I have written the following:

a$name_cleansed <- gsub("([-./&,])|[[:punct:]]","\\1",a$name) #\\1 puts back the exception we define (dash and slash)

a <- a %>% mutate(has_special_char=if_else(name==name_cleansed,FALSE,TRUE)) 

                                                                                     enter image description here 

1 Answer

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by (108k points)

I think in this case you have to use the str_extract from that you can extract the first special character.



#[1] NA  "'" "_" NA  "%" "_" "@"

If you want  all of the special characters, in that case use str_extract_all.

sapply(str_extract_all(a$name,'[[:punct:]]'), function(x) toString(unique(x)))

#[1] ""     "'"    "_"    ""     "%"    "_, !" "@, !"

And to exclude some symbols, use the below code:

exclude_symbol <- c('-', '.', '/', '&', ',')

sapply(str_extract_all(a$name,'[[:punct:]]'), function(x) 

                       toString(setdiff(unique(x), exclude_symbol)))

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