I have multiple regex strings in format:-
Example:
A='AB.224-QW-2018'
B='AB.876-5-LS-2018'
C='AB.26-LS-18'
D='AB-123-6-LS-2017'
E='IA-Mb-22L-AB.224-QW-2018-IA-Mb-22L'
F='ZX-ss-12L-AB-123-6-LS-2017-BC-22'
G='AB.224-2018'
H=''AB.224/QW/2018'
I=''AB/224/2018'
J='AB-10-HDB-231-NCLT-1-2017 AD-42-HH-2019'
K=''AB-1-HDB-NCLT-1-2016 AD-42-HH-2020'
L='AB-1-HDB-NCLT-1-2016/(AD-42-HH-2020)
I want a regex pattern to get the output for the numbers that occur after the alphabets(that appear at the start) as well as the first alphabets. And at last years that are mentioned at last.
There are some strings which contain 876-5,123-6 in B and D respectively.
I don't want the single number that appear after -.
My code :
re.search(r"\D*\d*\D*(AB)\D*(\d+)\D*(20)?(\d{2})\D*\d*\D*)
Another attempt
re.search(r"D*\d*\D*(AB)\D*(\d+)\D*\d?\D*(20)?(\d{2})D*\d*\D*)
Both attempts will not work for all of them.
Any pattern to match all strings?
I have created groups in regex pattern and extracted them as
d.group(1)+"/"+d.group(2)+"/"+d.group(4). So output is expected as following if a regex pattern matches for all of them.
Expected Output
A='AB/224/18'
B='AB/876/18'
C='AB/26/18'
D='AB/123/17'
E='AB/224/18'
F='AB/123/17'
G='AB/224/18'
H='AB/224/18'
I='AB/224/18'
J='AB/10/17'
K='AB/1/16'
L='AB/1/16'
You could use 3 capture groups:
\b(AB)\D*(\d+)\S*?(?:20)?(\d\d)\b
\b A word boundary to prevent a partial word match
(AB) Capture AB in group 1
\D* Match optional non digits
(\d+) Capture 1+ digits in group 2
\S*? Optionally match non whitespace characters, as least as possible
(?:20)? Optionally match 20
(\d\d) Capture 2 digits in group 3
\b A word boundary
Regex demo
For example using re.finditer which returns Match objects that each hold the group values.
Using enumerate you can loop the matches. Every item in the iteration returns a tuple, where the first value is the count (that you don't need here) and the second value contains the Match object.
import re
pattern = r"\b(AB)\D*(\d+)\S*?(?:20)?(\d\d)\b"
s = ("A='AB.224-QW-2018'\n"
"B='AB.876-5-LS-2018'\n"
"C='AB.26-LS-18'\n"
"D='AB-123-6-LS-2017'\n"
"IA-Mb-22L-AB.224-QW-2018-IA-Mb-22L' F='ZX-ss-12L-AB-123-6-LS-2017-BC-22\n"
"A='AB.224-QW-2018'\n"
"B='AB.876-5-LS-2018'\n"
"C='AB.26-LS-18'\n"
"D='AB-123-6-LS-2017'\n"
"E='IA-Mb-22L-AB.224-QW-2018-IA-Mb-22L'\n"
"F='ZX-ss-12L-AB-123-6-LS-2017-BC-22'\n"
"G='AB.224-2018'\n"
"H='AB.224/QW/2018'\n"
"I='AB/224/2018'")
matches = re.finditer(pattern, s)
for _, m in enumerate(matches, start=1):
print(m.group(1) + "/" + m.group(2) + "/" + m.group(3))
Output
AB/224/18
AB/876/18
AB/26/18
AB/123/17
AB/224/18
AB/123/17
AB/224/18
AB/876/18
AB/26/18
AB/123/17
AB/224/18
AB/123/17
AB/224/18
AB/224/18
AB/224/18
Can't you just look for the last two digits, irrespective of dashes and "20" prefix? Like
(AB)[.-](\d+).*(\d\d)
I've tested in Sublime Text - works for me, it returns the same output you mentioned as desired.
Related
I was trying out to solve a problem on regex:
There is an input sentence which is of one of these forms: Number1,2,3 or Number1/2/3 or Number1-2-3 these are the 3 delimiters: , / -
The expected output is: Number1,Number2,Number3
Pattern I've tried so far:
(?\<=,)\[^,\]+(?=,)
but this misses out on the edge cases i.e. 1st element and last element. I am also not able to generate for '/'.
You could separate out the key from values, then use a list comprehension to build the output you want.
inp = "Number1,2,3"
matches = re.search(r'(\D+)(.*)', inp)
output = [matches[1] + x for x in re.split(r'[,/]', matches[2])]
print(output) # ['Number1', 'Number2', 'Number3']
You can do it in several steps: 1) validate the string to match your pattern, and once validated 2) add the first non-digit chunk to the numbers while replacing - and / separator chars with commas:
import re
texts = ['Number1,2,3', 'Number1/2/3', 'Number1-2-3']
for text in texts:
m = re.search(r'^(\D+)(\d+(?=([,/-]))(?:\3\d+)*)$', text)
if m:
print( re.sub(r'(?<=,)(?=\d)', m.group(1).replace('\\', '\\\\'), text.replace('/',',').replace('-',',')) )
else:
print(f"NO MATCH in '{text}'")
See this Python demo.
Output:
Number1,Number2,Number3
Number1,Number2,Number3
Number1,Number2,Number3
The ^(\D+)(\d+(?=([,/-]))(?:\3\d+)*)$ regex validates your three types of input:
^ - start of string
(\D+) - Group 1: one or more non-digits
(\d+(?=([,/-]))(?:\3\d+)*) - Group 2: one or more digits, and then zero or more repetitions of ,, / or - and one or more digits (and the separator chars should be consistent due to the capture used in the positive lookahead and the \3 backreference to that value used in the non-capturing group)
$ - end of string.
The re.sub pattern, (?<=,)(?=\d), matches a location between a comma and a digit, the Group 1 value is placed there (note the .replace('\\', '\\\\') is necessary since the replacement is dynamic).
import re
for text in ("Number1,2,3", "Number1-2-3", "Number1/2/3"):
print(re.sub(r"(\D+)(\d+)[/,-](\d+)[/,-](\d+)", r"\1\2,\1\3,\1\4", text))
\D+ matches "Number" or any other non-number text
\d+ matches a number (or more than one)
[/,-] matches any of /, ,, -
The rest is copy paste 3 times.
The substitution consists of backreferences to the matched "Number" string (\1) and then each group of the (\d+)s.
This works if you're sure that it's always three numbers divided by that separator. This does not ensure that it's the same separator between each number. But it's short.
Output:
Number1,Number2,Number3
Number1,Number2,Number3
Number1,Number2,Number3
If you can make use of the pypi regex module you can use the captures collection with a named capture group.
([^\d\s,/]+)(?<num>\d+)([,/-])(?<num>\d+)(?:\3(?<num>\d+))*(?!\S)
([^\d\s,/]+) Capture group 1, match 1+ chars other than the listed
(?<num>\d+) Named capture group num matching 1+ digits
([,/-]) Capture either , / - in group 3
(?<num>\d+) Named capture group num matching 1+ digits
(?:\3(?<num>\d+))* Optionally repeat a backreference to group 3 to keep the separators the same and match 1+ digits in group num
(?!\S) Assert a whitspace boundary to the right to prevent a partial match
Regex demo | Python demo
import regex as re
pattern = r"([^\d\s,/]+)(?<num>\d+)([,/-])(?<num>\d+)(?:\3(?<num>\d+))*(?!\S)"
s = "Number1,2,3 or Number4/5/6 but not Number7/8,9"
matches = re.finditer(pattern, s)
for _, m in enumerate(matches, start=1):
print(','.join([m.group(1) + c for c in m.captures("num")]))
Output
Number1,Number2,Number3
Number4,Number5,Number6
I am trying to extract first 5 character+digit from last hyphen.
Here is the example
String -- X008-TGa19-ER751QF7
Output -- X008-TGa19-ER751
String -- X002-KF13-ER782cPU80
Output -- X002-KF13-ER782
My attempt -- I could manage to take element from the last -- (\w+)[^-.]*$
But now how to take first 5, then return my the entire value as the output as shown in the example.
You can optionally repeat a - and 1+ word chars from the start of the string. Then match the last - and match 5 word chars.
^\w+(?:-\w+)*-\w{5}
^ Start of string
\w+ Math 1+ word chars
(?:-\w+)* Optionally repeat - and 1+ word chars
-\w{5} Match - and 5 word chars
Regex demo
import re
regex = r"^\w+(?:-\w+)*-\w{5}"
s = ("X008-TGa19-ER751QF7\n"
"X002-KF13-ER782cPU80")
print(re.findall(regex, s, re.MULTILINE))
Output
['X008-TGa19-ER751', 'X002-KF13-ER782']
Note that \w can also match _.
If there can also be other character in the string, to get the first 5 digits or characters except _ after the last hyphen, you can match word characters without an underscore using a negated character class [^\W_]{5}
Repeat that 5 times while asserting no more underscore at the right.
^.*-[^\W_]{5}(?=[^-]*$)
Regex demo
(\w+-\w+-\w{5}) seems to capture what you're asking for.
Example:
https://regex101.com/r/PcPSim/1
If you are open for non-regex solution, you can use this which is based on splitting, slicing and joining the strings:
>>> my_str = "X008-TGa19-ER751QF7"
>>> '-'.join(s[:5] for s in my_str.split('-'))
'X008-TGa19-ER751'
Here I am splitting the string based on hyphen -, slicing the string to get at max five chars per sub-string, and joining it back using str.join() to get the string in your desired format.
^(.*-[^-]{5})[^-]*$
Capture group 1 is what you need
https://regex101.com/r/SYz9i5/1
Explanation
^(.*-[^-]{5})[^-]*$
^ Start of line
( Capture group 1 start
.* Any number of any character
- hyphen
[^-]{5} 5 non-hyphen character
) Capture group 1 end
[^-]* Any number of non-hyphen character
$ End of line
Another simpler one is
^(.*-.{5}).*$
This should be quite straight-forward.
This is making use of behaviour greedy match of first .*, which will try to match as much as possible, so the - will be the last one with at least 5 character following it.
https://regex101.com/r/CFqgeF/1/
I'm a beginner to regex and I am trying to make an expression to find if there are two of the same digits next to each other, and the digit behind and in front of the pair is different.
For example,
123456678 should match as there is a double 6,
1234566678 should not match as there is no double with different surrounding numbers.
12334566 should match because there are two 3s.
So far i have this which works only with 1, and as long as the double is not at the start or end of the string, however I can deal with that by adding a letter at the start and end.
^.*([^1]11[^1]).*$
I know i can use [0-9] instead of the 1s but the problem is having them all be the same digit.
Thank you!
I have divided my answer into four sections.
The first section contains my solution to the problem. Readers interested in nothing else may skip the other sections.
The remaining three sections are concerned with identifying the pairs of equal digits that are preceded by a different digit and are followed by a different digit. The first of the three sections matches them; the other two capture them in a group.
I've included the last section because I wanted to share The Greatest Regex Trick Ever with those unfamiliar with it, because I find it so very cool and clever, yet simple. It is documented here. Be forewarned that, to build suspense, the author at that link has included a lengthy preamble before the drum-roll reveal.
Determine if a string contains two consecutive equal digits that are preceded by a different digit and are followed by a different digit
You can test the string as follows:
import re
r = r'(\d)(?!\1)(\d)\2(?!\2)\d'
arr = ["123456678", "1123455a666788"]
for s in arr:
print(s, bool(re.search(r, s)) )
displays
123456678 True
1123455a666788 False
Run Python code | Start your engine!1
The regex engine performs the following operations.
(\d) : match a digit and save to capture group 1 (preceding digit)
(?!\1) : next character cannot equal content of capture group 1
(\d) : match a digit in capture group 2 (first digit of pair)
\2 : match content of capture group 2 (second digit of pair)
(?!\2) : next character cannot equal content of capture group 2
\d : match a digit
(?!\1) and (?!\2) are negative lookaheads.
Use Python's regex module to match pairs of consecutive digits that have the desired property
You can use the following regular expression with Python’s regex module to obtain the matching pairs of digits.
r'(\d)(?!\1)\K(\d)\2(?=\d)(?!\2)'
Regex Engine
The regex engine performs the following operations.
(\d) : match a digit and save to capture group 1 (preceding digit)
(?!\1) : next character cannot equal content of capture group 1
\K : forget everything matched so far and reset start of match
(\d) : match a digit in capture group 2 (first digit of pair)
\2 : match content of capture group 2 (second digit of pair)
(?=\d) : next character must be a digit
(?!\2) : next character cannot equal content of capture group 2
(?=\d) is a positive lookahead. (?=\d)(?!\2) could be replaced with (?!\2|$|\D).
Save pairs of consecutive digits that have the desired property to a capture group
Another way to obtain the matching pairs of digits, which does not require the regex module, is to extract the contents of capture group 2 from matches of the following regular expression.
r'(\d)(?!\1)((\d)\3)(?!\3)(?=\d)'
Re engine
The following operations are performed.
(\d) : match a digit in capture group 1
(?!\1) : next character does not equal last character
( : begin capture group 2
(\d) : match a digit in capture group 3
\3 : match the content of capture group 3
) : end capture group 2
(?!\3) : next character does not equal last character
(?=\d) : next character is a digit
Use The Greatest Regex Trick Ever to identify pairs of consecutive digits that have the desired property
We use the following regular expression to match the string.
r'(\d)(?=\1)|\d(?=(\d)(?!\2))|\d(?=\d(\d)\3)|\d(?=(\d{2})\d)'
When there is a match, we pay no attention to which character was matched, but examine the content of capture group 4 ((\d{2})), as I will explain below.
The Trick in action
The first three components of the alternation correspond to the ways that a string of four digits can fail to have the property that the second and third digits are equal, the first and second are unequal and the third and fourth are equal. They are:
(\d)(?=\1) : assert first and second digits are equal
\d(?=(\d)(?!\2)) : assert second and third digits are not equal
\d(?=\d(\d)\3) : assert third and fourth digits are equal
It follows that if there is a match of a digit and the first three parts of the alternation fail the last part (\d(?=(\d{2})\d)) must succeed, and the capture group it contains (#4) must contain the two equal digits that have the required properties. (The final \d is needed to assert that the pair of digits of interest is followed by a digit.)
If there is a match how do we determine if the last part of the alternation is the one that is matched?
When this regex matches a digit we have no interest in what digit that was. Instead, we look to capture group 4 ((\d{2})). If that group is empty we conclude that one of the first three components of the alternation matched the digit, meaning that the two digits following the matched digit do not have the properties that they are equal and are unequal to the digits that precede and follow them.
If, however, capture group 4 is not empty, it means that none of the first three parts of the alternation matched the digit, so the last part of the alternation must have matched and the two digits following the matched digit, which are held in capture group 4, have the desired properties.
1. Move the cursor around for detailed explanations.
With regex, it is much more convenient to use a PyPi regex module with the (*SKIP)(*FAIL) based pattern:
import regex
rx = r'(\d)\1{2,}(*SKIP)(*F)|(\d)\2'
l = ["123456678", "1234566678"]
for s in l:
print(s, bool(regex.search(rx, s)) )
See the Python demo. Output:
123456678 True
1234566678 False
Regex details
(\d)\1{2,}(*SKIP)(*F) - a digit and then two or more occurrences of the same digit
| - or
(\d)\2 - a digit and then the same digit.
The point is to match all chunks of identical 3 or more digits and skip them, and then match a chunk of two identical digits.
See the regex demo.
Inspired by the answer or Wiktor Stribiżew, another variation of using an alternation with re is to check for the existence of the capturing group which contains a positive match for 2 of the same digits not surrounded by the same digit.
In this case, check for group 3.
((\d)\2{2,})|\d(\d)\3(?!\3)\d
Regex demo | Python demo
( Capture group 1
(\d)\2{2,} Capture group 2, match 1 digit and repeat that same digit 2+ times
) Close group
| Or
\d(\d) Match a digit, capture a digit in group 3
\3(?!\3)\d Match the same digit as in group 3. Match the 4th digit, but is should not be the same as the group 3 digit
For example
import re
pattern = r"((\d)\2{2,})|\d(\d)\3(?!\3)\d"
strings = ["123456678", "12334566", "12345654554888", "1221", "1234566678", "1222", "2221", "66", "122", "221", "111"]
for s in strings:
match = re.search(pattern, s)
if match and match.group(3):
print ("Match: " + match.string)
else:
print ("No match: " + s)
Output
Match: 123456678
Match: 12334566
Match: 12345654554888
Match: 1221
No match: 1234566678
No match: 1222
No match: 2221
No match: 66
No match: 122
No match: 221
No match: 111
If for example 2 or 3 digits only is also ok to match, you could check for group 2
(\d)\1{2,}|(\d)\2
Python demo
You can also use a simple way .
import re
l=["123456678",
"1234566678",
"12334566 "]
for i in l:
matches = re.findall(r"((.)\2+)", i)
if any(len(x[0])!=2 for x in matches):
print "{}-->{}".format(i, False)
else:
print "{}-->{}".format(i, True)
You can customize this based on you rules.
Output:
123456678-->True
1234566678-->False
12334566 -->True
I'm working on my regex skills and i find one of my strings having duplicate words at the starting. I would like to remove the duplicate and just have one word of it -
server_server_dev1_check_1233.zzz
server_server_qa1_run_1233.xyz
server_server_dev2_1233.qqa
server_dev1_1233.zzz
data_data_dev9_check_660.log
I used the below regex but i get both server_server in my output,
((.*?))_(?!\D)
How can i have my output just to one server_ if there are two or more and if its only one server_, then take as is?
The output doesn't have to contain the digits and also the part after . i.e. .zzz, .xyz etc
Expected output -
server_dev1_check
server_qa1_run
server_dev2
server_dev1
data_dev9_check
you could back reference the word in your search expression:
>>> s = "server_server_dev1_check_1233.zzz"
>>> re.sub(r"(.*_)\1",r"\1",s)
'server_dev1_check_1233.zzz'
and use the "many times" suffix so if there are more than 2 occurrences it still works:
'server_server_server_dev1_check_1233.zzz'
>>> re.sub(r"(.*_)\1{1,}",r"\1",s)
'server_dev1_check_1233.zzz'
getting rid of the suffix is not the hardest part, just capture the rest and discard the end:
>>> re.sub(r"(.*_)\1{1,}(.*)(_\d+\..*)",r"\1\2",s)
'server_dev1_check'
You may use a single re.sub call to match and remove what you do not need and match and capture what you need:
re.sub(r'^([^_]+)(?:_\1)*(.*)_\d+\.\w+$', r'\1\2', s)
See the regex demo
Details
^ - start of string
([^_]+) - Capturing group 1: any 1+ chars other than _
(?:_\1)* - zero or more repetitions of _ followed with the same substring as in Group 1 (thanks to the inline backreference \1 that retrieves the text from Group 1)
(.*) - Group 2: any 0+ chars, as many as possible
_ - an underscore
\d+ - 1+ digits
\. - a dot
\w+ - 1+ word chars ([^.]+ will also do, 1 or more chars other than .)
$ - end of string.
The replacement pattern is \1\2, i.e. the contents of Group 1 and 2 are concatenated and make up the resulting value.
Python demo:
import re
rx = r'^([^_]+)(?:_\1)*(.*)_\d+\.\w+$'
strs = ["server_server_dev1_check_1233.zzz", "server_server_qa1_run_1233.xyz", "server_server_dev2_1233.qqa", "server_dev1_1233.zzz", "data_data_dev9_check_660.log"]
for s in strs:
print(re.sub(rx, r'\1\2', s))
Output:
server_dev1_check
server_qa1_run
server_dev2
server_dev1
data_dev9_check
I have a pattern which looks like:
abc*_def(##)
and i want to look if this matches for some strings.
E.x. it matches for:
abc1_def23
abc10_def99
but does not match for:
abc9_def9
So the * stands for a number which can have one or more digits.
The # stands for a number with one digit
I want the value in the parenthesis as result
What would be the easiest and simplest solution for this problem?
Replace the * and # through regex expression and then look if they match?
Like this:
pattern = pattern.replace('*', '[0-9]*')
pattern = pattern.replace('#', '[0-9]')
pattern = '^' + pattern + '$'
Or program it myself?
Based on your requirements, I would go for a regex for the simple reason it's already available and tested, so it's easiest as you were asking.
The only "complicated" thing in your requirements is avoiding after def the same digit you have after abc.
This can be done with a negative backreference. The regex you can use is:
\babc(\d+)_def((?!\1)\d{1,2})\b
\b captures word boundaries; if you enclose your regex between two \b
you will restrict your search to words, i.e. text delimited by space,
punctuations etc
abc captures the string abc
\d+ captures one or more digits; if there is an upper limit to the number of digits you want, it has to be \d{1,MAX} where MAX is your maximum number of digits; anyway \d stands for a digit and + indicates 1 or more repetitions
(\d+) is a group: the use of parenthesis defines \d+ as something you want to "remember" inside your regex; it's somehow similar to defining a variable; in this case, (\d+) is your first group since you defined no other groups before it (i.e. to its left)
_def captures the string _def
(?!\1) is the part where you say "I don't want to repeat the first group after _def. \1 represents the first group, while (?!whatever) is a check that results positive is what follows the current position is NOT (the negation is given by !) whatever you want to negate.
Live demo here.
I had the hardest time getting this to work. The trick was the $
#!python2
import re
yourlist = ['abc1_def23', 'abc10_def99', 'abc9_def9', 'abc955_def9', 'abc_def9', 'abc9_def9288', 'abc49_def9234']
for item in yourlist:
if re.search(r'abc[0-9]+_def[0-9][0-9]$', item):
print item, 'is a match'
You could match your pattern like:
abc\d+_def(\d{2})
abc Match literally
\d+ Match 1 or more digits
_ Match underscore
def - Match literally
( Capturing group (Your 2 digits will be in this group)
\d{2} Match 2 digits
) Close capturing group
Then you could for example use search to check for a match and use .group(1) to get the digits between parenthesis.
Demo Python
You could also add word boundaries:
\babc\d+_def(\d{2})\b