I have a pattern that I want to match and replace with an X. However, I only want the pattern to be replaced if the preceding character is either an A, B or not preceeded by any character (beginning of string).
I know how to replace patterns using the str_replace_all function but I don't know how I can add this additional condition. I use the following code:
library(stringr)
string <- "0000A0000B0000C0000D0000E0000A0000"
pattern <- c("XXXX")
replacement <- str_replace_all(string, pattern, paste0("XXXX"))
Result:
[1] "XXXXAXXXXBXXXXCXXXXDXXXXEXXXXAXXXX"
Desired result:
Replacement only when preceding charterer is A, B or no character:
[1] "XXXXAXXXXBXXXXC0000D0000E0000AXXXX"
You may use
gsub("(^|[AB])0000", "\\1XXXX", string)
See the regex demo
Details
(^|[AB]) - Capturing group 1 (\1): start of string (^) or (|) A or B ([AB])
0000 - four zeros.
R demo:
string <- "0000A0000B0000C0000D0000E0000A0000"
pattern <- c("XXXX")
gsub("(^|[AB])0000", "\\1XXXX", string)
## -> [1] "XXXXAXXXXBXXXXC0000D0000E0000AXXXX"
Could you please try following. Using positive lookahead method here.
string <- "0000A0000B0000C0000D0000E0000A0000"
gsub(x = string, pattern = "(^|A|B)(?=0000)((?i)0000?)",
replacement = "\\1xxxx", perl=TRUE)
Output will be as follows.
[1] "xxxxAxxxxBxxxxC0000D0000E0000Axxxx"
Thanks to Wiktor Stribiżew for the answer! It also works with the stringr package:
library(stringr)
string <- "0000A0000B0000C0000D0000E0000A0000"
pattern <- c("0000")
replace <- str_replace_all(string, paste0("(^|[AB])",pattern), "\\1XXXX")
replace
[1] "XXXXAXXXXBXXXXC0000D0000E0000AXXXX"
Related
I have a character string of names which look like
"_6302_I-PAL_SPSY_000237_001"
I need to remove the first occurred underscore, so that it will be as
"6302_I-PAL_SPSY_000237_001"
I aware of gsub but it removes all of underscores. Thank you for any suggestions.
gsub function do the same, to remove starting of the string symbol ^ used
x <- "_6302_I-PAL_SPSY_000237_001"
x <- gsub("^\\_","",x)
[1] "6302_I-PAL_SPSY_000237_001"
We can use sub with pattern as _ and replacement as blanks (""). This will remove the first occurrence of '_'.
sub("_", "", str1)
#[1] "6302_I-PAL_SPSY_000237_001"
NOTE: This will remove the first occurence of _ and it will not limit based on the position i.e. at the start of the string.
For example, suppose we have string
str2 <- "6302_I-PAL_SPSY_000237_001"
sub("_", "", str2)
#[1] "6302I-PAL_SPSY_000237_001"
As the example have _ in the beginning, another option is substring
substring(str1, 2)
#[1] "6302_I-PAL_SPSY_000237_001"
data
str1 <- "_6302_I-PAL_SPSY_000237_001"
This can be done with base R's trimws() too
string1<-"_6302_I-PAL_SPSY_000237_001"
trimws(string1, which='left', whitespace = '_')
[1] "6302_I-PAL_SPSY_000237_001"
In case we have multiple words with leading underscores, we may have to include a word boundary (\\b) in our regex, and use either gsub or stringr::string_remove:
string2<-paste(string1, string1)
string2
[1] "_6302_I-PAL_SPSY_000237_001 _6302_I-PAL_SPSY_000237_001"
library(stringr)
str_remove_all(string2, "\\b_")
> str_remove_all(string2, "\\b_")
[1] "6302_I-PAL_SPSY_000237_001 6302_I-PAL_SPSY_000237_001"
I want to change the rownames of cov_stats, such that it contains a substring of the FileName column values. I only want to retain the string that begins with "SRR" followed by 8 digits (e.g., SRR18826803).
cov_list <- list.files(path="./stats/", full.names=T)
cov_stats <- rbindlist(sapply(cov_list, fread, simplify=F), use.names=T, idcol="FileName")
rownames(cov_stats) <- gsub("^\.\/\SRR*_\stats.\txt", "SRR*", cov_stats[["FileName"]])
Second attempt
rownames(cov_stats) <- gsub("^SRR[:digit:]*", "", cov_stats[["FileName"]])
Original strings
> cov_stats[["FileName"]]
[1] "./stats/SRR18826803_stats.txt" "./stats/SRR18826804_stats.txt"
[3] "./stats/SRR18826805_stats.txt" "./stats/SRR18826806_stats.txt"
[5] "./stats/SRR18826807_stats.txt" "./stats/SRR18826808_stats.txt"
Desired substring output
[1] "SRR18826803" "SRR18826804"
[3] "SRR18826805" "SRR18826806"
[5] "SRR18826807" "SRR18826808"
Would this work for you?
library(stringr)
stringr::str_extract(cov_stats[["FileName"]], "SRR.{0,8}")
You can use
rownames(cov_stats) <- sub("^\\./stats/(SRR\\d{8}).*", "\\1", cov_stats[["FileName"]])
See the regex demo. Details:
^ - start of string
\./stats/ - ./stats/ string
(SRR\d{8}) - Group 1 (\1): SRR string and then eight digits
.* - the rest of the string till its end.
Note that sub is used (not gsub) because there is only one expected replacement operation in the input string (since the regex matches the whole string).
See the R demo:
cov_stats <- c("./stats/SRR18826803_stats.txt", "./stats/SRR18826804_stats.txt", "./stats/SRR18826805_stats.txt", "./stats/SRR18826806_stats.txt", "./stats/SRR18826807_stats.txt")
sub("^\\./stats/(SRR\\d{8}).*", "\\1", cov_stats)
## => [1] "SRR18826803" "SRR18826804" "SRR18826805" "SRR18826806" "SRR18826807"
An equivalent extraction stringr approach:
library(stringr)
rownames(cov_stats) <- str_extract(cov_stats[["FileName"]], "SRR\\d{8}")
So I have a column of contract names df$name like below
FB210618C00280000
ADM210618C00280000
M210618P00280000
I would like to extract the FB, ADM and M. That is I want to extract characters in the string and they are of different length and stop once the first number occurs, and I don't want to extract the C or P.
The below code will give me the C or P
stri_extract_all_regex(df$name, "[a-z]+")
We can use stri_extract_first from stringi
library(stringi)
stri_extract_first(df$name, regex = "[A-Z]+")
#[1] "FB" "ADM" "M"
Or we can use base R with sub
sub("\\d+.*", "", df$name)
#[1] "FB" "ADM" "M"
Or use trimws from base R
trimws(df$name, whitespace = "\\d+.*")
data
df <- data.frame(name = c("FB210618C00280000", "ADM210618C00280000",
"M210618P00280000"))
You can use
library(stringr)
str_extract(df$name, "^[A-Za-z]+")
# Or
str_extract(df$name, "^\\p{L}+")
The stringr::str_extract function will extract the first occurrence of a pattern and ^[A-Za-z]+ / ^\p{L}+ regex matches one or more letters at the start of the string. Note \p{L} matches any Unicode letters.
See the regex demo.
Same pattern can be used with stringi::stri_extract_first():
library(stringi)
stri_extract_first(df$name, regex="^[A-Za-z]+")
I have a data frame. One of the columns is in string format. Various letters and numbers, but always ending in a string of numbers. Sadly this string isn't always the same length.
I'd like to know how to write a bit of code to extract just the numbers at the end. So for example:
x <- c("AB ABC 19012301927 / XX - 4625",
"BC - AB / 827 / 9765",
"XXXX-9276"
)
And I'd like to get from this: (4625, 9765, 9276)
Is there any easy way to do this please?
Thank you.
A
We can use sub to capture one or more digits (\\d+) at the end ($) of the string that follows a non-digit ([^0-9]) and other characters (.*), in the replacement, specify the backreference (\\1) of the captured group
sub(".*[^0-9](\\d+)$", "\\1", x)
#[1] "4625" "9765" "9276"
Or with word from stringr
library(stringr)
word(x, -1, sep="[- ]")
#[1] "4625" "9765" "9276"
Or with stri_extract_last
library(stringi)
stri_extract_last_regex(x, "\\d+")
#[1] "4625" "9765" "9276"
Replace everything up to the last non-digit with a zero length string.
sub(".*\\D", "", x)
giving:
[1] "4625" "9765" "9276"
I want to retrieve the first Numbers (here -> 344002) from a string:
string <- '<a href="/Archiv-Suche/!344002&s=&SuchRahmen=Print/" ratiourl-ressource="344002"'
I am preferably looking for a regular expression, which looks for the Numbers after the ! and before the &.
All I came up with is this but this catches the ! as well (!344002):
regmatches(string, gregexpr("\\!([[:digit:]]+)", string, perl =TRUE))
Any ideas?
Use this regex:
(?<=\!)\d+(?=&)
Use this code:
regmatches(string, gregexpr("(?<=\!)\d+(?=&)", string, perl=TRUE))
(?<=\!) is a lookbehind, the match will start following !
\d+ matches one digit or more
(?=&) stops the match if next characters are &
library(gsubfn)
strapplyc(string, "!(\\d+)")[[1]]
Old answer]
Test this code.
library(stringr)
str_extract(string, "[0-9]+")
similar question&answer is present here
Extract a regular expression match in R version 2.10
You may capture the digits (\d+) in between ! and & and get it with regexec/regmatches:
> string <- '<a href="/Archiv-Suche/!344002&s=&SuchRahmen=Print/" ratiourl-ressource="344002"'
> pattern = "!(\\d+)&"
> res <- unlist(regmatches(string,regexec(pattern,string)))
> res[2]
[1] "344002"
See the online R demo