I have a text file which contains files locations and addresses (e.g. %Software\Policies\Microsoft\Windows\Safer\CodeIdentifiers\0\Hashes)
However for some of them I have multiple backslashes in a row which I want to get rid off and replace them by only one backslashes .. is there a regular expression that I can use to identify all extra backslashes (more than one in a row) ?
Try this:
\\{2,}
Replace By:
\\
Demo
Sample Code:
import re
regex = r"\\{2,}"
test_str = r"%Software\\Policies\\\\Microsoft\\Windows\\Safer\\CodeIdentifiers\\0\\Hashes\\"
subst = r"\\"
result = re.sub(regex, subst, test_str, 0)
if result:
print (result)
Run it
Did you got the chance to look into the python documentation?
Regex: you'll need to know:
'*' Causes the resulting RE to match 0 or more repetitions of the
preceding RE, as many repetitions as are possible. ab* will match ‘a’,
‘ab’, or ‘a’ followed by any number of ‘b’s.
'?' Causes the resulting RE to match 0 or 1 repetitions of the
preceding RE. ab? will match either ‘a’ or ‘ab’.
'\' Either escapes special characters (permitting you to match
characters like '*', '?', and so forth), or signals a special
sequence. so to check '\' you need to put it as '\'. For example, to
match a literal backslash, one might have to write '\\' as the
pattern string, because the regular expression must be \, and each
backslash must be expressed as \ inside a regular Python string
literal.
If you need to know how to use regex in python:
Python string.replace regular expression
Related
I need a regular expression able to match everything but a string starting with a specific pattern (specifically index.php and what follows, like index.php?id=2342343).
Regex: match everything but:
a string starting with a specific pattern (e.g. any - empty, too - string not starting with foo):
Lookahead-based solution for NFAs:
^(?!foo).*$
^(?!foo)
Negated character class based solution for regex engines not supporting lookarounds:
^(([^f].{2}|.[^o].|.{2}[^o]).*|.{0,2})$
^([^f].{2}|.[^o].|.{2}[^o])|^.{0,2}$
a string ending with a specific pattern (say, no world. at the end):
Lookbehind-based solution:
(?<!world\.)$
^.*(?<!world\.)$
Lookahead solution:
^(?!.*world\.$).*
^(?!.*world\.$)
POSIX workaround:
^(.*([^w].{5}|.[^o].{4}|.{2}[^r].{3}|.{3}[^l].{2}|.{4}[^d].|.{5}[^.])|.{0,5})$
([^w].{5}|.[^o].{4}|.{2}[^r].{3}|.{3}[^l].{2}|.{4}[^d].|.{5}[^.]$|^.{0,5})$
a string containing specific text (say, not match a string having foo):
Lookaround-based solution:
^(?!.*foo)
^(?!.*foo).*$
POSIX workaround:
Use the online regex generator at www.formauri.es/personal/pgimeno/misc/non-match-regex
a string containing specific character (say, avoid matching a string having a | symbol):
^[^|]*$
a string equal to some string (say, not equal to foo):
Lookaround-based:
^(?!foo$)
^(?!foo$).*$
POSIX:
^(.{0,2}|.{4,}|[^f]..|.[^o].|..[^o])$
a sequence of characters:
PCRE (match any text but cat): /cat(*SKIP)(*FAIL)|[^c]*(?:c(?!at)[^c]*)*/i or /cat(*SKIP)(*FAIL)|(?:(?!cat).)+/is
Other engines allowing lookarounds: (cat)|[^c]*(?:c(?!at)[^c]*)* (or (?s)(cat)|(?:(?!cat).)*, or (cat)|[^c]+(?:c(?!at)[^c]*)*|(?:c(?!at)[^c]*)+[^c]*) and then check with language means: if Group 1 matched, it is not what we need, else, grab the match value if not empty
a certain single character or a set of characters:
Use a negated character class: [^a-z]+ (any char other than a lowercase ASCII letter)
Matching any char(s) but |: [^|]+
Demo note: the newline \n is used inside negated character classes in demos to avoid match overflow to the neighboring line(s). They are not necessary when testing individual strings.
Anchor note: In many languages, use \A to define the unambiguous start of string, and \z (in Python, it is \Z, in JavaScript, $ is OK) to define the very end of the string.
Dot note: In many flavors (but not POSIX, TRE, TCL), . matches any char but a newline char. Make sure you use a corresponding DOTALL modifier (/s in PCRE/Boost/.NET/Python/Java and /m in Ruby) for the . to match any char including a newline.
Backslash note: In languages where you have to declare patterns with C strings allowing escape sequences (like \n for a newline), you need to double the backslashes escaping special characters so that the engine could treat them as literal characters (e.g. in Java, world\. will be declared as "world\\.", or use a character class: "world[.]"). Use raw string literals (Python r'\bworld\b'), C# verbatim string literals #"world\.", or slashy strings/regex literal notations like /world\./.
You could use a negative lookahead from the start, e.g., ^(?!foo).*$ shouldn't match anything starting with foo.
You can put a ^ in the beginning of a character set to match anything but those characters.
[^=]*
will match everything but =
Just match /^index\.php/, and then reject whatever matches it.
In Python:
>>> import re
>>> p='^(?!index\.php\?[0-9]+).*$'
>>> s1='index.php?12345'
>>> re.match(p,s1)
>>> s2='index.html?12345'
>>> re.match(p,s2)
<_sre.SRE_Match object at 0xb7d65fa8>
Came across this thread after a long search. I had this problem for multiple searches and replace of some occurrences. But the pattern I used was matching till the end. Example below
import re
text = "start![image]xxx(xx.png) yyy xx![image]xxx(xxx.png) end"
replaced_text = re.sub(r'!\[image\](.*)\(.*\.png\)', '*', text)
print(replaced_text)
gave
start* end
Basically, the regex was matching from the first ![image] to the last .png, swallowing the middle yyy
Used the method posted above https://stackoverflow.com/a/17761124/429476 by Firish to break the match between the occurrence. Here the space is not matched; as the words are separated by space.
replaced_text = re.sub(r'!\[image\]([^ ]*)\([^ ]*\.png\)', '*', text)
and got what I wanted
start* yyy xx* end
I need a regular expression able to match everything but a string starting with a specific pattern (specifically index.php and what follows, like index.php?id=2342343).
Regex: match everything but:
a string starting with a specific pattern (e.g. any - empty, too - string not starting with foo):
Lookahead-based solution for NFAs:
^(?!foo).*$
^(?!foo)
Negated character class based solution for regex engines not supporting lookarounds:
^(([^f].{2}|.[^o].|.{2}[^o]).*|.{0,2})$
^([^f].{2}|.[^o].|.{2}[^o])|^.{0,2}$
a string ending with a specific pattern (say, no world. at the end):
Lookbehind-based solution:
(?<!world\.)$
^.*(?<!world\.)$
Lookahead solution:
^(?!.*world\.$).*
^(?!.*world\.$)
POSIX workaround:
^(.*([^w].{5}|.[^o].{4}|.{2}[^r].{3}|.{3}[^l].{2}|.{4}[^d].|.{5}[^.])|.{0,5})$
([^w].{5}|.[^o].{4}|.{2}[^r].{3}|.{3}[^l].{2}|.{4}[^d].|.{5}[^.]$|^.{0,5})$
a string containing specific text (say, not match a string having foo):
Lookaround-based solution:
^(?!.*foo)
^(?!.*foo).*$
POSIX workaround:
Use the online regex generator at www.formauri.es/personal/pgimeno/misc/non-match-regex
a string containing specific character (say, avoid matching a string having a | symbol):
^[^|]*$
a string equal to some string (say, not equal to foo):
Lookaround-based:
^(?!foo$)
^(?!foo$).*$
POSIX:
^(.{0,2}|.{4,}|[^f]..|.[^o].|..[^o])$
a sequence of characters:
PCRE (match any text but cat): /cat(*SKIP)(*FAIL)|[^c]*(?:c(?!at)[^c]*)*/i or /cat(*SKIP)(*FAIL)|(?:(?!cat).)+/is
Other engines allowing lookarounds: (cat)|[^c]*(?:c(?!at)[^c]*)* (or (?s)(cat)|(?:(?!cat).)*, or (cat)|[^c]+(?:c(?!at)[^c]*)*|(?:c(?!at)[^c]*)+[^c]*) and then check with language means: if Group 1 matched, it is not what we need, else, grab the match value if not empty
a certain single character or a set of characters:
Use a negated character class: [^a-z]+ (any char other than a lowercase ASCII letter)
Matching any char(s) but |: [^|]+
Demo note: the newline \n is used inside negated character classes in demos to avoid match overflow to the neighboring line(s). They are not necessary when testing individual strings.
Anchor note: In many languages, use \A to define the unambiguous start of string, and \z (in Python, it is \Z, in JavaScript, $ is OK) to define the very end of the string.
Dot note: In many flavors (but not POSIX, TRE, TCL), . matches any char but a newline char. Make sure you use a corresponding DOTALL modifier (/s in PCRE/Boost/.NET/Python/Java and /m in Ruby) for the . to match any char including a newline.
Backslash note: In languages where you have to declare patterns with C strings allowing escape sequences (like \n for a newline), you need to double the backslashes escaping special characters so that the engine could treat them as literal characters (e.g. in Java, world\. will be declared as "world\\.", or use a character class: "world[.]"). Use raw string literals (Python r'\bworld\b'), C# verbatim string literals #"world\.", or slashy strings/regex literal notations like /world\./.
You could use a negative lookahead from the start, e.g., ^(?!foo).*$ shouldn't match anything starting with foo.
You can put a ^ in the beginning of a character set to match anything but those characters.
[^=]*
will match everything but =
Just match /^index\.php/, and then reject whatever matches it.
In Python:
>>> import re
>>> p='^(?!index\.php\?[0-9]+).*$'
>>> s1='index.php?12345'
>>> re.match(p,s1)
>>> s2='index.html?12345'
>>> re.match(p,s2)
<_sre.SRE_Match object at 0xb7d65fa8>
Came across this thread after a long search. I had this problem for multiple searches and replace of some occurrences. But the pattern I used was matching till the end. Example below
import re
text = "start![image]xxx(xx.png) yyy xx![image]xxx(xxx.png) end"
replaced_text = re.sub(r'!\[image\](.*)\(.*\.png\)', '*', text)
print(replaced_text)
gave
start* end
Basically, the regex was matching from the first ![image] to the last .png, swallowing the middle yyy
Used the method posted above https://stackoverflow.com/a/17761124/429476 by Firish to break the match between the occurrence. Here the space is not matched; as the words are separated by space.
replaced_text = re.sub(r'!\[image\]([^ ]*)\([^ ]*\.png\)', '*', text)
and got what I wanted
start* yyy xx* end
How to solve this problem on regex in Python?
I want to filter words regular and text from:
"A regular expression is a special text string for describing a search pattern."
I want the result like this :
"A expression is a special string for describing a search pattern."
Please help me to solve this problem on regex syntax.
import re
txt = "A regular expression is a special text string for describing a search pattern."
pattern = "(.*) regular(.*) text(.*)"
result = re.sub(pattern, r"\1\2\3", txt)
print(result) # for testing only
The explanation:
As you can see, your regular expression is
(.*) regular(.*) text(.*)
Expressions in parentheses are so called capture groups. All 3 have the same form:
.*
which means that they will match everything - . means any character, * means arbitrary number of them, including zero (empty string).
Now we may use the captured texts as \1, \2, \3, respectively, so your original text is in this notation the same as
\1 regular\2 text\3
So in the re.sub() function we keep as substituting string only
\1\2\3
which effectively strip out the parts " regular" and " text".
I'm new to RegEx and I am trying to perform a simple match to extract a list of items using re.findall. However, I am not getting the expected result. Can you please help explain why I am also getting the first piece of this string based on the below regex pattern and what I need to modify to get the desired output?
import re
string = '''aaaa_1y345_xyz_orange_bar_1
aaaa_123a5542_xyz_orange_bar_1
bbbb_1z34512_abc_purple_bar_1'''
print(re.findall('_\w+_\w+_bar_\d+', string))
Current Output:
['_1y345_xyz_orange_bar_1', '_123a5542_xyz_orange_bar_1', '_1z34512_abc_purple_bar_1']
Desired Output:
['_xyz_orange_bar_1', '_xyz_orange_bar_1', '_abc_purple_bar_1']
The \w pattern matches letters, digits and _ symbol. Depending on the Python version and options used, the letters and digits it can match may be from the whole Unicode range or just ASCII.
So, the best way to fix the issue is by replacing \w with [^\W_]:
import re
string = '''aaaa_1y345_xyz_orange_bar_1
aaaa_123a5542_xyz_orange_bar_1
bbbb_1z34512_abc_purple_bar_1'''
print(re.findall(r'_[^\W_]+_[^\W_]+_bar_[0-9]+', string))
# => ['_xyz_orange_bar_1', '_xyz_orange_bar_1', '_abc_purple_bar_1']
See the Python demo.
Details:
_ - an underscore
[^\W_]+ - 1 or more chars that are either digits or letters (a [^ starts the negated character class, \W matches any non-word char, and _ is added to match any word chars other than _)
_[^\W_]+ - same as above
_bar_ - a literal substring _bar_
[0-9]+ - 1 or more ASCII digits.
See the regex demo.
_[a-z]+_\w+_bar_\d+ should work.
import re
string = '''aaaa_1y345_xyz_orange_bar_1
aaaa_123a5542_xyz_orange_bar_1
bbbb_1z34512_abc_purple_bar_1'''
print(re.findall('_[a-z]+_\w+_bar_\d+', string))
o/p
['_xyz_orange_bar_1', '_xyz_orange_bar_1', '_abc_purple_bar_1']
Your problem is that the regular expression is greedy and tries to match as much as possible. Sometimes this can be fixed by adding a ? (question mark) after the + (plus) sign. However, in your current solution that is not doable (in any simple way, at least - it can likely be done with some lookahead). However, you can choose another pattern, that explicitly forbids matching then _ (underline) character as:
import re
string = '''aaaa_1y345_xyz_orange_bar_1
aaaa_123a5542_xyz_orange_bar_1
bbbb_1z34512_abc_purple_bar_1'''
print(re.findall('_[^_\W]+_[^_\W]+_bar_\d+', string))
This will match what you hope for. The [^ ... ] construct means not, thus not underline and not not whitespace.
The problem with your code is that \w pattern is equivalent to the following set of characters: [a-zA-Z0-9_]
I guess you need to match the same set but without an underscore:
import re
string = '''aaaa_1y345_xyz_orange_bar_1
aaaa_123a5542_xyz_orange_bar_1
bbbb_1z34512_abc_purple_bar_1'''
print(re.findall('_[a-zA-Z0-9]+_[a-zA-Z0-9]+_bar_\d+', string))
The output:
['_xyz_orange_bar_1', '_xyz_orange_bar_1', '_abc_purple_bar_1']
Your \w usage is too permissive. It will find not only letters, but numbers and underscores as well. From the docs:
When the LOCALE and UNICODE flags are not specified, matches any alphanumeric character and the underscore; this is equivalent to the set [a-zA-Z0-9_]. With LOCALE, it will match the set [0-9_] plus whatever characters are defined as alphanumeric for the current locale. If UNICODE is set, this will match the characters [0-9_] plus whatever is classified as alphanumeric in the Unicode character properties database.
Instead us actual character groupings to match.
_[a-z]+_[a-z]+_bar_[0-9]+
If you actually need the complete matching of \w without the underscore, you can change the character groupings to:
[a-zA-Z0-9]
I would like to strip all of the the punctuations (except the dot) from the beginning and end of a string, but not in the middle of it.
For instance for an original string:
##%%.Hol$a.A.$%
I would like to get the word .Hol$a.A. removed from the end and beginning but not from the middle of the word.
Another example could be for the string:
##%%...&Hol$a.A....$%
In this case the returned string should be ..&Hol$a.A.... because we do not care if the allowed characters are repeated.
The idea is to remove all of the punctuations( except the dot ) just at the beginning and end of the word. A word is defined as \w and/or a .
A practical example is the string 'Barnes&Nobles'. For text analysis is important to recognize Barnes&Nobles as a single entity, but without the '
How to accomplish the goal using Regex?
Use this simple and easily adaptable regex:
[\w.].*[\w.]
It will match exactly your desired result, nothing more.
[\w.] matches any alphanumeric character and the dot
.* matches any character (except newline normally)
[\w.] matches any alphanumeric character and the dot
To change the delimiters, simply change the set of allowed characters inside the [] brackets.
Check this regex out on regex101.com
import re
data = '##%%.Hol$a.A.$%'
pattern = r'[\w.].*[\w.]'
print(re.search(pattern, data).group(0))
# Output: .Hol$a.A.
Depending on what you mean with striping the punctuation, you can adapt the following code :
import re
res = re.search(r"^[^.]*(.[^.]*.([^.]*.)*?)[^.]*$", "##%%.Hol$a.A.$%")
mystr = res.group(1)
This will strip everything before and after the dot in the expression.
Warning, you will have to check if the result is different of None, if the string doesn't match.