we have ranges like this
"0,5, 0,5"
"0,112, 0,118"
and want to split by the second comma.
Any idea?
You can update the regex you split by with comma then a space after.
select regexp_split_to_array('0,112, 0,118', ', ')
demo:db<>fiddle
Supposing, there ist always at least one space after the second comma and none after the others, you could use this for the split regex:
SELECT
regexp_split_to_array(ranges, ',\s+')
FROM
t
This returns an array like {"0,5","0,5"}.
You can split both ranges into columns using a subquery:
SELECT
r[1],
r[2]
FROM (
SELECT
regexp_split_to_array(ranges, ',\s+') as r
FROM
t
) s
Edit:
TO wants to get everything after the second comma. So you need a regex for splitting, which finds the nth (here n = 2) occurrence of a comma:
(?:(^.*?,.*)),
This can be used to query the required data:
demo:db<>fiddle
SELECT
(regexp_split_to_array(ranges, '(?:(^.*?,.*)),'))[2]
FROM
t
Use regexp_replace:
select regexp_replace('0,112, 0,118', '.*,\s+', '') as foo;
Output:
foo
-------
0,118
(1 row)
Thank you all for the quick answers. It finally worked by using this
regexp_matches(your_string_value, '\d+[,|.]\d+|\d+','g'))[1]
This helped me getting rid of all unnecessary characters within the values + delivered me back the second value in the range.
Related
What is a clean regex pattern for matching URL strings that stops at the first comma? Trying to extract values from an array of arrays in Google Sheets.
Cell A1
{https://www.myshop.com/shop/the_first_shop,Marcus. White's. Shop.,ACTIVE,US};{https://www.myshop.com/shop/a-second-shop,The first! Shop,CLOSED,UK};{EMPTY,ClosedShop,CLOSED,IN}
Desired Output (Cell B1)
https://www.myshop.com/shop/the_first_shop,https://www.myshop.com/shop/a-second-shop
I have figured out how to get a clean array of matching values in my desired output cell using:
=trim(regexreplace(regexreplace(regexreplace(REGEXREPLACE(A2,"/(https?:\/\/[^ ]*)/"," "),";"," "),"}"," "),"{"," "))
But I can't find a regex pattern that stops at a comma. For example, this soution:
"/(https?:\/\/[^ ]*)/"
matches the first URL, but gives me back:
https://www.myshop.com/shop/the_first_shop,Marcus. White's. Shop.,ACTIVE,US https://www.myshop.com/shop/a-second-shop,The first! Shop,CLOSED,UK EMPTY,ClosedShop,CLOSED,IN
I'd go with REGEXREPLACE and use:
=REGEXREPLACE(A1,".*?(?:(https.*?)|$)","$1")
Just a trailing comma to deal with...
=REGEXREPLACE(REGEXREPLACE(A1,".*?(?:(https.*?(,))|$)","$1"),",$","")
A much longer alternative to REGEXREPLACE could be:
=TEXTJOIN(",",,QUERY(TRANSPOSE(SPLIT(SUBSTITUTE(SUBSTITUTE(A1,"{","}"),"}",","),",")),"Select Col1 where Col1 like 'http%'"))
regex pattern that stops at a comma
=REGEXEXTRACT(A1, "(https?:\/\/[^,]*)")
I am using BigQuery on Google Cloud Platform to extract data from GDELT. This uses an SQL syntax and regular expressions.
I have a column of data (called V2Tone), in which each cell looks like this:
1.55763239875389,2.80373831775701,1.24610591900312,4.04984423676012,26.4797507788162,2.49221183800623,299
To select only the first number (i.e., the number before the first comma) using regular expressions, we use this:
regexp_replace(V2Tone, r',.*', '')
How can we select only the second number (i.e., the number between the first and second commas)?
How about the third number (i.e., the number between the second and third commas)?
I understand that re2 syntax (https://github.com/google/re2/wiki/Syntax) is used here, but my understanding of how to put that all together is limited.
If anything is unclear, please let me know. Thank you for your help as I learn to use regular expressions.
Below example is for BigQuery Standard SQL using super simple SPLIT approach
#standardSQL
SELECT
SPLIT(V2Tone)[SAFE_OFFSET(0)] first_number,
SPLIT(V2Tone)[SAFE_OFFSET(1)] second_number,
SPLIT(V2Tone)[SAFE_OFFSET(2)] third_number
FROM `project.dataset.table`
If for some reason you need/want to use regexp here - use below
#standardSQL
SELECT
REGEXP_EXTRACT(V2Tone, r'^(.*?),') first_number,
REGEXP_EXTRACT(V2Tone, r'^(?:(?:.*?),)(.*?),') second_number,
REGEXP_EXTRACT(V2Tone, r'^(?:(?:.*?),){2}(.*?),') third_number,
REGEXP_EXTRACT(V2Tone, r'^(?:(?:.*?),){4}(.*?),') fifth_number
FROM `project.dataset.table`
Note use of REGEXP_EXTRACT instead of REGEXP_REPLACE
You can play, test above options with dummy string from your question as below
#standardSQL
WITH `project.dataset.table` AS (
SELECT '1.55763239875389,2.80373831775701,1.24610591900312,4.04984423676012,26.4797507788162,2.49221183800623,299' V2Tone
)
SELECT
SPLIT(V2Tone)[SAFE_OFFSET(0)] first_number,
SPLIT(V2Tone)[SAFE_OFFSET(1)] second_number,
SPLIT(V2Tone)[SAFE_OFFSET(2)] third_number,
REGEXP_EXTRACT(V2Tone, r'^(.*?),') first_number_re,
REGEXP_EXTRACT(V2Tone, r'^(?:(?:.*?),)(.*?),') second_number_re,
REGEXP_EXTRACT(V2Tone, r'^(?:(?:.*?),){2}(.*?),') third_number_re,
REGEXP_EXTRACT(V2Tone, r'^(?:(?:.*?),){4}(.*?),') fifth_number_re
FROM `project.dataset.table`
with output :
first_number second_number third_number first_number_re second_number_re third_number_re fifth_number_re
1.55763239875389 2.80373831775701 1.24610591900312 1.55763239875389 2.80373831775701 1.24610591900312 26.4797507788162
I don't know of a single regex replace which could be used to isolate a single number in your CSV string, because we need to remove things on both sides of the match, in general. But, we can chain together two calls to regex_replace. For example, if you wanted to target the third number in the CSV string, we could try this:
regexp_replace(regexp_replace(V2Tone, r'^(?:(?:\d+(?:\.\d+)?),){2}', ''),
r',.*', ''))
The pattern I am using to strip of the first n numbers is this:
^(?:(?:\d+(?:\.\d+)?),){n}
This just removes a number, followed by a comma, n times, from the beginning of the string.
Demo
Here is a solution with a single regex replace:
^([^,]+(?:,|$)){2}([^,]+(?:,|$))*|^.*$
Demo
\n is added to the negated character class in the demo to avoid matching accross lines in m|multiline mode.
Usage:
regexp_replace(V2Tone, r'^([^,]+(?:,|$)){2}([^,]+(?:,|$))*|^.*$', '$1')
Explanation:
([^,]+(?:,|$){n} captures everything to the next comma or the end of the string n times
([^,]+(?:,|$))* captures the rest 0 or more times
^.*$ capture everything if we cannot match n times
And then, finally, we can reinsert the nth match using $1.
I need to create some columns from a cell that contains text separated by "_".
The input would be:
campaign1_attribute1_whatever_yes_123421
And the output has to be in different columns (one per field), with no "_" and excluding the final number, as it follows:
campaign1 attribute1 whatever yes
It must be done using a regex formula!
help!
Thanks in advance (and sorry for my english)
=REGEXEXTRACT("campaign1_attribute1_whatever_yes_123421","(("®EXREPLACE("campaign1_attribute1_whatever_yes_123421","((_)|(\d+$))",")$1(")&"))")
What this does is replace all the _ with parenthesis to create capture groups, while also excluding the digit string at the end, then surround the whole string with parenthesis.
We then use regex extract to actuall pull the pieces out, the groups automatically push them to their own cells/columns
To solve this you can use the SPLIT and REGEXREPLACE functions
Solution:
Text - A1 = "campaign1_attribute1_whatever_yes_123421"
Formula - A3 = =SPLIT(REGEXREPLACE(A1,"_+\d*$",""), "_", TRUE)
Explanation:
In cell A3 We use SPLIT(text, delimiter, [split_by_each]), the text in this case is formatted with regex =REGEXREPLACE(A1,"_+\d$","")* to remove 123421, witch will give you a column for each word delimited by ""
A1 = "campaign1_attribute1_whatever_yes_123421"
A2 = "=REGEXREPLACE(A1,"_+\d*$","")" //This gives you : *campaign1_attribute1_whatever_yes*
A3 = SPLIT(A2, "_", TRUE) //This gives you: campaign1 attribute1 whatever yes, each in a separate column.
I finally figured it out yesterday in stackoverflow (spanish): https://es.stackoverflow.com/questions/55362/c%C3%B3mo-separo-texto-por-guiones-bajos-de-una-celda-en...
It was simple enough after all...
The reason I asked to be only in regex and for google sheets was because I need to use it in Google data studio (same regex functions than spreadsheets)
To get each column just use this regex extract function:
1st column: REGEXP_EXTRACT(Campaña, '^(?:[^_]*_){0}([^_]*)_')
2nd column: REGEXP_EXTRACT(Campaña, '^(?:[^_]*_){1}([^_]*)_')
3rd column: REGEXP_EXTRACT(Campaña, '^(?:[^_]*_){2}([^_]*)_')
etc...
The only thing that has to be changed in the formula to switch columns is the numer inside {}, (column number - 1).
If you do not have the final number, just don't put the last "_".
Lastly, remember to do all the calculated fields again, because (for example) it gets an error with CPC, CTR and other Adwords metrics that are calculated automatically.
Hope it helps!
I have a column in Oracle which can contain up to 5 separate values, each separated by a '|'. Any of the values can be present or missing. Here are come examples of how the data might look:
100-1
10-3|25-1|120/240
15-1|15-3|15-2|120/208
15-1|15-3|15-2|120/208|STA-2
112-123|120/208|STA-3
The values are arbitrary except for the order. The numerical values separated by dashes always come first. There can be 1 to 3 of these values present. The numerical values separated by a slash (if it is present) is next. The string, 'STA', and a numerical value separated by a dash is always last, if it is present.
What I would like to do is reformat this column to only ever include the first three possible values, those being the three numerical values separated by dashes. Afterwards, I want to replace 2nd numeric in each value (the numeric after the dash) using the following pattern:
1 = A
2 = B
3 = C
I would also like to remove the dash afterwards, but not the '|' that separates the values unless there is a trailing '|'.
To give you an idea, here's how the values at the beginning of the post would look after the reformatting:
100A
10C|25A
15A|15C|15B
15A|15C|15B
112ABC
I'm thinking this can be done with regex expressions but it's got me a little confused. Does anyone have a solution?
If I have to solve this problem I will solve it in following ways.
SELECT
REGEXP_REPLACE(column,'\|\d+\/\d+(\|STA-\d+)?',''),
REGEXP_REPLACE(column,'(\d+)-(1)([^\d])','\1A\3'),
REGEXP_REPLACE(column,'(\d+)-(2)([^\d])','\1B\3'),
REGEXP_REPLACE(column,'(\d+)-(3)([^\d])','\1C\3'),
REGEXP_REPLACE(column,'(\d+)-(123)([^\d])','\1ABC')
FROM table;
Explanation: Let us break down each REGEXP_REPLACE statement one by one.
REGEXP_REPLACE(column,'\|\d+\/\d+(\|STA-\d+)?','')
This will replace the end part like 120/208|STA-2 with empty string so that further processing is easy.
Finding match was easy but replacing A for 1, B for 2 and C for 3 was not possible ( as per my knowledge ) So I did those matching and replacements separately.
In each regex from second statement (\d+)-(yourNumber)([^\d]) first group is number before - then yourNumber is either 1,2,3 or 123 followed by |.
So the replacement will be according to yourNumber.
All demos here from version 1 to 5.
Note:- I have just done replacement for combination of yourNUmber for those present in question. You can do likewise for other combinations too.
you can do this in one line, but you can write simple function to do that
SELECT str, REGEXP_REPLACE(str,'(\|\d+\/\d+)?(\|STA-\d+)?','') cut
, REGEXP_REPLACE(REGEXP_REPLACE(str,'(\|\d+\/\d+)?(\|STA-\d+)?',''), '(\-)([1,2]*)(3)([1,2]*)', '\1\2C\4') rep3toC
, REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(str,'(\|\d+\/\d+)?(\|STA-\d+)?',''), '(\-)([1,2]*)(3)([1,2]*)', '\1\2C\4'), '(\-)([1,C]*)(2)([1,C]*)', '\1\2B\4') rep2toB
, REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(str,'(\|\d+\/\d+)?(\|STA-\d+)?',''), '(\-)([1,2]*)(3)([1,2]*)', '\1\2C\4'), '(\-)([1,C]*)(2)([1,C]*)', '\1\2B\4'), '(\-)([B,C]*)(1)([B,C]*)', '\1\2A\4') rep1toA
, REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(str,'(\|\d+\/\d+)?(\|STA-\d+)?',''), '(\-)([1,2]*)(3)([1,2]*)', '\1\2C\4'), '(\-)([1,C]*)(2)([1,C]*)', '\1\2B\4'), '(\-)([B,C]*)(1)([B,C]*)', '\1\2A\4'), '-', '') "rep-"
FROM (
SELECT '100-1' str FROM dual UNION
SELECT '10-3|25-1|120/240' str FROM dual UNION
SELECT '15-1|15-3|15-2|120/208' str FROM dual UNION
SELECT '15-1|15-3|15-2|120/208|STA-2' str FROM dual UNION
SELECT '112-123|120/208|STA-3' FROM dual
) tab
A Bloomberg futures ticker usually looks like:
MCDZ3 Curcny
where the root is MCD, the month letter and year is Z3 and the 'yellow key' is Curcny.
Note that the root can be of variable length, 2-4 letters or 1 letter and 1 whitespace (e.g. S H4 Comdty).
The letter-year allows only the letter listed below in expr and can have two digit years.
Finally the yellow key can be one of several security type strings but I am interested in (Curncy|Equity|Index|Comdty) only.
In Matlab I have the following regular expression
expr = '[FGHJKMNQUVXZ]\d{1,2} ';
[rootyk, monthyear] = regexpi(bbergtickers, expr,'split','match','once');
where
rootyk{:}
ans =
'mcd' 'curncy'
and
monthyear =
'z3 '
I don't want to match the ' ' (space) in the monthyear. How can I do?
Assuming there are no leading or trailing whitespaces and only upcase letters in the root, this should work:
^([A-Z]{2,4}|[A-Z]\s)([FGHJKMNQUVXZ]\d{1,2}) (Curncy|Equity|Index|Comdty)$
You've got root in the first group, letter-year in the second, yellow key in the third.
I don't know Matlab nor whether it covers Perl Compatible Regex. If it fails, try e.g. with instead of \s. Also, drop the ^...$ if you'd like to extract from a bigger source text.
The expression you're feeding regexpi with contains a space and is used as a pattern for 'match'. This is why the matched monthyear string also has a space1.
If you want to keep it simple and let regexpi do the work for you (instead of postprocessing its output), try a different approach and capture tokens instead of matching, and ignore the intermediate space:
%// <$1><----------$2---------> <$3>
expr = '(.+)([FGHJKMNQUVXZ]\d{1,2}) (.+)';
tickinfo = regexpi(bbergtickers, expr, 'tokens', 'once');
You can also simplify the expression to a more genereic '(.+)(\w{1}\d{1,2})\s+(.+)', if you wish.
Example
bbergtickers = 'MCDZ3 Curncy';
expr = '(.+)([FGHJKMNQUVXZ]\d{1,2})\s+(.+)';
tickinfo = regexpi(bbergtickers, expr, 'tokens', 'once');
The result is:
tickinfo =
'MCD'
'Z3'
'Curncy'
1 This expression is also used as a delimiter for 'split'. Removing the trailing space from it won't help, as it will reappear in the rootyk output instead.
Assuming you just want to get rid of the leading and or trailing spaces at the edge, there is a very simple command for that:
monthyear = trim(monthyear)
For removing all spaces, you can do:
monthyear(isspace(monthyear))=[]
Here is a completely different approach, basically this searches the letter before your year number:
s = 'MCDZ3 Curcny'
p = regexp(s,'\d')
s(min(p)
s(min(p)-1:max(p))