...or rather...there's something wrong with my formula.
I have a series of item numbers, and I want to extract only the info between the first and 3rd dash, if any.
The info before the 1st dash must be letters.
The info between the 1st and second dash must be letters (i.e. A-z).
The info between the 2nd and 3rd dash must be numbers.
I want everything else to be ignored (I've wrapped my regexextract in an iferror to do this)
Here's my formula:
=arrayformula(iferror(regexextract(B1:B,"[A-z]+-([A-Z\{\\\]\^_`a-z]+-[0-9]+)-"),"")
It's working most of the time.
But for this: AAB-2971-PN-B-11-03
It extracts this: B-11
But I'm expecting this one to be an error/blank.
Other correct examples:
AAB-LL-1234-00 should extract LL-1234
AAN-1234 should error out
AAC-1234-LL should error out
AAC-1234-ll-123 should error out
Use this regex:
[A-Za-z]+-[A-Za-z]+-([0-9]+)-
And extract group 2.
There are a few problems with your regex, but the main one is [A-z] does not mean "all letters", it means "all characters between A and z", which includes the characters between Z and a, ie [, \, ], ^, _ and the back tick.
I suspect [A-Z{\]\^_a-z]+is your attempt at[A-Za-z]`.
try:
=ARRAYFORMULA(IFNA(REGEXEXTRACT(INDEX(SPLIT(B1:B, "-"),,2)&"", "\D+")&
REGEXEXTRACT(INDEX("-"&SPLIT(B1:B, "-"),,3), "-\d+")))
or:
=ARRAYFORMULA(IFERROR(IF((REGEXMATCH(INDEX(SPLIT(B1:B, "-"),,1), "[A-Za-z]+"))*
(NOT(REGEXMATCH(INDEX(SPLIT(B1:B, "-"),,1), "[0-9]+"))),
IFNA(REGEXEXTRACT(INDEX(SPLIT(B1:B, "-"),,2)&"", "\D+")&
REGEXEXTRACT(INDEX("-"&SPLIT(B1:B, "-"),,3), "-\d+")), )))
Related
I need to extract a string from an URL. Here are some examples:
Input: https://www.example.net/eur_en/bas-026-009-basic-baby-hat-beige.html – Output: bas-026-009
Input: https://www.example.net/eur_en/aw18-245-b86-big-cherries-snow-jacket-plum-red.html – Output: aw18-245-b86
Input: https://www.example.net/eur_en/ss20-028-e70-hearts-tee-off-white-yellow.html – Output: ss20-028-e70
I want to be able to extract the string that goes from the first character after the "/eur_en/" until the third dash. Can someone help me? Thanks
You're looking for regexp: \/eur_en\/([^-]+-[^-]+-[^-]+)
Play & test it at regex101: https://regex101.com/r/RvGROG/1
You need something like this:
const urls = [
"https://www.example.net/eur_en/bas-026-009-basic-baby-hat-beige.html",
"https://www.example.net/eur_en/aw18-245-b86-big-cherries-snow-jacket-plum-red.html",
"https://www.example.net/eur_en/ss20-028-e70-hearts-tee-off-white-yellow.html",
]
const rg = new RegExp(`\/eur_en\/([^-]+-[^-]+-[^-]+)`)
const strs = urls.map(url => url.match(rg)[1])
console.log(strs)
// Output:
// [
// "bas-026-009",
// "aw18-245-b86",
// "ss20-028-e70"
// ]
Of course, it's a simple example. In real cases don't forget to check that .match returned array with length greater than 1.
So, the first element is full captured string and the second (as third and next) it's a sub-strings, which is captured by parentheses.
We can improve and complicate our regex like so:
\/((?:[^-\/]+-){2}[^-\/]+)
It'll allow us to not to use a specific anchor /eur_en/ and control the number of dash divided parts.
The expression you're looking for is the following:
/(?<=eur_en\/)[^-]*-[^-]*-[^-]*/
Here is how it works:
(?<=eur_en\/): will look behind for eur_env/ but will not use it in the output
[^-]*: it will match any character that is not a dash. So it will get everything up to the first dash (not including the dash)
[^-]*: it will match any character that is not a dash. So it will get everything up to the second dash (not including the dash)
[^-]*: it will match any character that is not a dash. So it will get everything up to the third dash (not including the dash).
/(?<=\/eur_en\/)\w+-\w+-\w+/g
Tolkens
Description
(?<=\/eur_en\/)
Look behind - If /eur_en/ is found, match whatever proceeds it.
\w+-\w+-\w+
One or more Word character = [A-Za-z0-9] and a literal hyphen three consecutive times.
Review: https://regex101.com/r/Ge0zA3/1
Hello together I have the following problem:
I have a long list of SQL queries which I would like to adapt to one of my changes. Finally, I have a renaming problem and I'm afraid I want to solve it more complicated than expected.
The query looks like this:
INSERT member (member, prename, name, street, postalcode, town, tel1, tel2, fax, bem, anrede, salutation, email, name2, name3, association, project) VALUES (2005, N'John', N'Doe', N'Street 4711', N'1234', N'Town', N'1234-5678', N'1234-5678', N'1234-5678', N'Leader', NULL, N'Dear Mr. Doe', N'a#b.com', N'This is the text i want to delete', N'Name2', N'Name3', NULL, NULL);
In the "Insert" there was another column which I removed (which I did simply via Notepad++ by typing the search term - "example, " - and replaced it with an empty field. Only the following entry in Values I can't get out using this method, because the text varies here. So far I have only worked with the text file in which I adjusted the list of queries.
So as you can see there is one more entry in Values than in the insertions (there was another column here, but it was removed by my change).
It is the entry after the email address. I would like to remove this including the comma (N'This is the text i want to delete',).
My idea was to form a group and say that the 14th digit after the comma should be removed. However, even after research I do not know how to realize this.
I thought it could look like this (tried in https://regex101.com/)
VALUES\s?\((,) something here
Is this even the right approach or is there another method? I only knew Regex to solve this problem, because of course the values look different here.
And how can I finally use the regex to get the queries adapted (because the queries are local to my computer and not yet included in the code).
Short summary:
Change the query from
VALUES (... test5, test6, test7 ...)
To
VALUES (... test5, test7 ...)
As per my comment, you could use find/replace, where you search for:
(\bVALUES +\((?:[^,]+,){13})[^,]+,
And replace with $1
See the online demo
( - Open 1st capture group.
\bValues +\( - Match a word-boundary, literally 'VALUES', followed by at least a single space and a literal open paranthesis.
(?: - Open non-capturing group.
[^,]+, - Match anything but a comma at least once followed by a comma.
){13} - Close non-capture group and repeat it 13 times.
) - Close 1st capture group.
[^,]+, - Match anything but a comma at least once followed by a comma.
You may use the following to remove / replace the value you need:
Find What: \bVALUES\s*\((\s*(?:N'[^']*'|\w+))(?:,(?1)){12}\K,(?1)
Replace With: (empty string, or whatever value you need)
See the regex demo
Details
\bVALUES - whole word VALUES
\s* - 0+ whitespaces
\( - a (
(\s*(?:N'[^']*'|\w+)) - Group 1: 0+ whitespaces and then either N' followed with any 0 or more chars other than ' and then a ', or 1+ word chars
(?:,(?1)){12} - twelve repetitions of , followed with the Group 1 pattern
\K - match reset operator that discards the text matched so far from the match memory buffer
, - a comma
(?1) - Group 1 pattern.
Settings screen:
I have data like this
Giftsbirth;;Basket7;CC
Giftswedding;;Cake4;COD
I am trying to find a regex that will only select the second data (Basket7, Cake4).
From past help I tried something like
^(\w+ [^\v;;]+;;[^\v;]+)?.*
But I know that is not right
Please assist with the regex if you can
You could use a positive lookbehind (?<= to assert what is before is ;; and a positive lookahead (?= to assert that what follows is ;
Use a negative character class [^;]+ to match not a ; to match your values.
(?<=;;)[^;]+(?=;)
You may use
(?:.*;)?([^;\n\r]+);[^;\n\r]+$
Or,
.*?;;([^;\r\n]+)(?:;.*)?
and replace with $1.
Details
(?:.*;)? - an optional substring having 0+ chars other than line break chars, as many as possible, up to the ;
([^;\n\r]+) - Group 1: any one or more chars other than CR, LF and ;
; - a semi-colon
[^;\n\r]+ - any one or more chars other than CR, LF and ;
$ - end of line.
The second regex matches
.*?;; - any 0+ chars as few as possible up to (and including) the first ;;
([^;\r\n]+) - Group 1: any one or more chars other than CR, LF and ;
(?:;.*)? - an optional group matching 1 or 0 occurrences of a ; and then any 0+ chars up to the end of line
The $1 in the replacement is the value you need to keep.
You need to specify more precisely what "the second data (Basket7, Cake4)" means. This looks like CSV data with the ; set as separator, but that would place Basket7 and Cake4 in the third column, since the second column is empty. In order to write a regex that solves this problem in the general case, you need to take into account the full domain of possible lines, and you've only given two examples and let everyone guess what the underlying format and total possible variations might be.
For example, is it always reasonable to assume that that which you're looking for is always preceded by ;; and ends with a ;, and that ;; never occurs in other places than immediately before that which you're looking for? In that case, (?<=;;)([^;]*) captures this. But what if you encounter one of the following lines?
Giftsbirth;;;CC # Here, the thing matched is empty
Giftsbirth;1600;Basket7;CC # Here, the second column isn't empty
;;Basket7;CC # Here, the first column is empty
;;;CC # Here, all but the last column are empty
;;; # Here, all columns are empty
You may experience that various suggestions will give you "the right text", but if you test this on a limited subset that does not account for all variations that can reasonably be expected in the input, you will inevitably have to revise your regex.
Assuming this is a CSV where the fields don't contain literal ;s, and that you don't know anything about the length of any of the fields (and consequently that the second column isn't always empty), but that there are at least three columns, you could consider the regex:
^[^;]*;[^;]*;([^;]*)
(See demo at https://regex101.com/r/vhPNEj/1)
These assumptions may not be correct, but my ability to guess are much worse than yours, since you're sitting with a larger sample size of data. In order to succeed at automating your tasks, it is critical that you learn to modify code to fit your assumptions.
For example, you may want to disregard the cases where the third column is empty:
^[^;]*;[^;]*;([^;]+)
Here the difference is [^;]* changed into [^;]+.
Or you may want to take into account that the first column could contain semicolons when they are wrapped in double quotes, e.g. like "Giftsbirth; Holiday";;Basket7;CC:
^(?:[^;"]*|"[^"]*");[^;]*;([^;]*)
Here the difference is [^;]* changed into (?:[^;"]*|"[^"]*") being either [^;"]* (being all but ; and ") or "[^"]*" (being " followed by anything but ", which includes ;, followed by ").
I am trying to extract R7080075 and X1234567 from the sample data below. The format is always a single upper case character followed by 7 digit number. This ID is also always preceded by an underscore. Since it's user generated data, sometimes it's the first underscore in the record and sometimes all preceding spaces have been replaced with underscores.
I'm querying HDP Hive with this in the select statement:
REGEXP_EXTRACT(column_name,'[(?:(^_A-Z))](\d{7})',0)
I've tried addressing positions 0-2 and none return an error or any data. I tested the code on regextester.com and it highlighted the data I want to extract. When I then run it in Zepplin, it returns NULLs.
My regex experience is limited so I have reviewed the articles here on regexp_extract (+hive) and talked with a colleague. Thanks in advance for your help.
Sample data:
Sept Wk 5 Sunny Sailing_R7080075_12345
Holiday_Wk2_Smiles_X1234567_ABC
The Hive manual says this:
Note that some care is necessary in using predefined character classes: using '\s' as the second argument will match the letter s; '\\s' is necessary to match whitespace, etc.
Also, your expression includes unnecessary characters in the character class.
Try this:
REGEXP_EXTRACT(column_name,'_[A-Z](\\d{7})',0)
Since you want only the part without underscore, use this:
REGEXP_EXTRACT(column_name,'_([A-Z]\\d{7})',1)
It matches the entire pattern, but extracts only the second group instead of the entire match.
Or alternatively:
REGEXP_EXTRACT(column_name,'(?<=_)[A-Z]\\d{7}', 0)
This uses a regexp technique called "positive lookbehind". It translates to : "find me an upper case alphabet followed by 7 digits, but only if they are preceded by an _". It uses the _ for matching but doesn't consider it part of the extracted match.
So I've bought a book on R and automated data collection, and one of the first examples are leaving me baffled.
I have a table with a date-column consisting of numbers looking like this "2001-". According to the tutorial, the line below will remove the "-" from the dates by singling out the first four digits:
yend_clean <- unlist(str_extract_all(danger_table$yend, "[[:digit:]]4$"))
When I run this command, "yend_clean" is simply set to "character (empty)".
If I remove the ”4$", I get all of the dates split into atoms so that the list that originally looked like this "1992", "2003" now looks like this "1", "9" etc.
So I suspect that something around the "4$" is the problem. I can't find any documentation on this that helps me figure out the correct solution.
Was hoping someone in here could point me in the right direction.
This is a regular expression question. Your regular expression is wrong. Use:
unlist(str_extract_all("2003-", "^[[:digit:]]{4}"))
or equivalently
sub("^(\\d{4}).*", "\\1", "2003-")
of if really all you want is to remove the "-"
sub("-", "", "2003-")
Repetition in regular expressions is controlled by the {} parameter. You were missing that. Additionally $ means match the end of the string, so your expression translates as:
match any single digit, followed by a 4, followed by the end of the string
When you remove the "4", then the pattern becomes "match any single digit", which is exactly what happens (i.e. you get each digit matched separately).
The pattern I propose says instead:
match the beginning of the string (^), followed by a digit repeated four times.
The sub variation is a very common technique where we create a pattern that matches what we want to keep in parentheses, and then everything else outside of the parentheses (.* matches anything, any number of times). We then replace the entire match with just the piece in the parens (\\1 means the first sub-expression in parentheses). \\d is equivalent to [[:digit:]].
A good website to learn about regex
A visualization tool to see how specific regular expressions match strings
If you mean the book Automated Data Collection with R, the code could be like this:
yend_clean <- unlist(str_extract_all(danger_table$yend, "[[:digit:]]{4}[-]$"))
yend_clean <- unlist(str_extract_all(yend_clean, "^[[:digit:]]{4}"))
Assumes that you have a string, "1993–2007, 2010-", and you want to get the last given year, which is "2010". The first line, which means four digits and a dash and end, return "2010-", and the second line return "2010".