import re
s = 'Sarah Ruthers#6'
output = re.sub("[^\\w]", "", s)
print output
The above removes ALL alpha characters; I simply want to remove any characters after the last alpha (letter type character); or trailing last alpha character for instance.
i.e. Sarah Ruthers#6
to output simply:
Sarah Ruthers
My regex above; outputs SarahRuthers (removing the space)
Anchor your pattern at the end, and use a correct character class:
output = re.sub(r"[\W\d_]+$", "", s)
That'll remove a single run of all non-letter characters at the end of the string; the $ anchor limits the range, and [\W\d_] properly matches non-letters, not just non-word characters (word characters include digits and the underscore character).
I also made the regex a raw string (which you should always do anyway for regex patterns), removing the need to double the backslashes.
Note that while [^a-zA-Z] could replace [\W\d_] for your specific case, I strongly recommend [\W\d_] over [^a-zA-Z] because the former is Unicode friendly, while the latter is not; for example if your text is 'résumé', using [^a-zA-Z] will strip the trailing é, [\W\d_] won't.
output = re.sub("[^a-zA-Z]+$", "", s)
\w is "word character" which includes alphanumeric (letters, numbers) plus underscore (_).
Say that you only need to retain uppercase and lowercase letters towards the end:
output = re.sub("[^A-Za-z ]+$", "", s)
Related
Let say I have this string:
Alpha+*&Numeric%$^String%%$
I want to get the non-alphanumeric characters that are between alphanumeric characters:
+*& %$^
I have this regex: [^0-9a-zA-Z]+ but it's giving me
+* %$^ %%$
which includes the tailing non-alphanumeric characters which I do not want. I have also tried [0-9a-zA-Z]([^0-9a-zA-Z])+[0-9a-zA-Z] but it's giving me
a+*&N c%$^S
which include the characters a, N, c and S
If you don't mind including the _ character as alpha-numeric data, you can extract all your non-alpha-numeric-data with this:
some_string = "A+*&N%$^S%%$"
import re
result = re.findall(r'\b\W+\b', some_string) # sets result to: ['+*&', '%$^']
Note my use of \b instead of something like \w or [^\W].
\w and [^\W] each match one character, so if your alpha-numeric string (between the text you want) is exactly one character, then what you think should be the next match won't match.
But since \b is a zero-width "word boundary," it doesn't care how many alpha-numeric characters there are, as long as there is at least one.
The only problem with your second attempt is the location of the + qualifier--it should be inside of the parentheses. You can also use the word character class \w and its inverse \W to pull out these items, which is the same as your second regex but includes underscores _ as parts of words:
import re
s = "Alpha+*&Numeric%$^String%%$"
print(re.findall(r"\w(\W+)\w", s)) # adds _ character
print(re.findall(r"[0-9a-zA-Z]([^0-9a-zA-Z]+)[0-9a-zA-Z]", s)) # your version fixed
print(re.findall(r"(?i)[0-9A-Z]([^0-9A-Z]+)[0-9A-Z]", s)) # same as above
Output:
['+*&', '%$^']
['+*&', '%$^']
['+*&', '%$^']
I am basically trying to match string pattern(wildcard match)
Please carefully look at this -
*(star) - means exactly one word .
This is not a regex pattern...it is a convention.
So,if there patterns like -
*.key - '.key.' is preceded by exactly one word(word containing no dots)
*.key.* - '.key.' is preceded and succeeded by exactly one word having no dots
key.* - '.key' preceeds exactly one word .
So,
"door.key" matches "*.key"
"brown.door.key" doesn't match "*.key".
"brown.key.door" matches "*.key.*"
but "brown.iron.key.door" doesn't match "*.key.*"
So, when I encounter a '*' in pattern, I have replace it with a regex so that it means it is exactly one word.(a-zA-z0-9_).Can anyone please help me do this in python?
To convert your pattern to a regexp, you first need to make sure each character is interpreted literally and not as a special character. We can do that by inserting a \ in front of any re special character. Those characters can be obtained through sre_parse.SPECIAL_CHARS.
Since you have a special meaning for *, we do not want to escape that one but instead replace it by \w+.
Code
import sre_parse
def convert_to_regexp(pattern):
special_characters = set(sre_parse.SPECIAL_CHARS)
special_characters.remove('*')
safe_pattern = ''.join(['\\' + c if c in special_characters else c for c in pattern ])
return safe_pattern.replace('*', '\\w+')
Example
import re
pattern = '*.key'
r_pattern = convert_to_regexp(pattern) # '\\w+\\.key'
re.match(r_pattern, 'door.key') # Match
re.match(r_pattern, 'brown.door.key') # None
And here is an example with escaped special characters
pattern = '*.(key)'
r_pattern = convert_to_regexp(pattern) # '\\w+\\.\\(key\\)'
re.match(r_pattern, 'door.(key)') # Match
re.match(r_pattern, 'brown.door.(key)') # None
Sidenote
If you intend looking for the output pattern with re.search or re.findall, you might want to wrap the re pattern between \b boundary characters.
The conversion rules you are looking for go like this:
* is a word, thus: \w+
. is a literal dot: \.
key is and stays a literal string
plus, your samples indicate you are going to match whole strings, which in turn means your pattern should match from the ^ beginning to the $ end of the string.
Therefore, *.key becomes ^\w+\.key$, *.key.* becomes ^\w+\.key\.\w+$, and so forth..
Online Demo: play with it!
^ means a string that starts with the given set of characters in a regular expression.
$ means a string that ends with the given set of characters in a regular expression.
\s means a whitespace character.
\S means a non-whitespace character.
+ means 1 or more characters matching given condition.
Now, you want to match just a single word meaning a string of characters that start and end with non-spaced string. So, the required regular expression is:
^\S+$
You could do it with a combination of "any characters that aren't period" and the start/end anchors.
*.key would be ^[^.]*\.key, and *.key.* would be ^[^.]*\.key\.[^.]*$
EDIT: As tripleee said, [^.]*, which matches "any number of characters that aren't periods," would allow whitespace characters (which of course aren't periods), so using \w+, "any number of 'word characters'" like the other answers is better.
Set-up
I've got a string of names which need to be separated into a list.
Following this answer, I have,
string = 'KreuzbergLichtenbergNeuköllnPrenzlauer Berg'
re.findall('[A-Z][a-z]*', string)
where the last line gives me,
['Kreuzberg', 'Lichtenberg', 'Neuk', 'Prenzlauer', 'Berg']
Problems
1) Whitespace is ignored
'Prenzlauer Berg' is actually 1 name but the code splits according to the 'split-at-capital-letter' rule.
What is the command ensuring it to not split at a capital letter if preceding character is a whitespace?
2) Special characters not handled well
The code used cannot handle 'ö'. How do I include such 'German' characters?
I.e. I want to obtain,
['Kreuzberg', 'Lichtenberg', 'Neukölln', 'Prenzlauer Berg']
You can use positive and negative lookbehind and just list the Umlauts explicitly:
>>> string = 'KreuzbergLichtenbergNeuköllnPrenzlauer Berg'
>>> re.findall('(?<!\s)[A-ZÄÖÜ](?:[a-zäöüß\s]|(?<=\s)[A-ZÄÖÜ])*', string)
['Kreuzberg', 'Lichtenberg', 'Neukölln', 'Prenzlauer Berg']
(?<!\s)...: matches ... that is not preceded by \s
(?<=\s)...: matches ... that is preceded by \s
(?:...): non-capturing group so as to not mess with the findall results
This works
string="KreuzbergLichtenbergNeuköllnPrenzlauer Berg"
pattern="[A-Z][a-ü]+\s[A-Z][a-ü]+|[A-Z][a-ü]+"
re.findall(pattern, string)
#>>>['Kreuzberg', 'Lichtenberg', 'Neukölln', 'Prenzlauer Berg']
How can I remove combination of letter-dot-letter (example F.B) from string in python ? I tried using regex:
abre = re.sub(r"\b\w+\.\w+#",'',abre)
but it does not remove these sequences it just prints me the same unchanged string. I also tried removing all dots and then remove words smaller than 2 letters, but in that case I loose real words.
What I have: C.P.A. Certification Program, Accounting
What I want to get: Certification Program, Accounting
The length of the sequence is not always known and the letters are also unknown.
You seem to want to remove words that consist of dot-separated uppercase letters.
Use
abre = re.sub(r"\b(?:[A-Z]\.)+(?!\w)",'',abre)
See the regex demo. To also remove a trailing whitespace, you may add \s* at the end. If there must be at least two letters, replace + with {2,}.
Details:
\b - leading word boundary
(?:[A-Z]\.)+ - one or more sequences of
[A-Z] - an uppercase ASCII letter
\. -a dot
(?!\w) - not followed with a word char
you can use replace :
>>> string="rgoa.bwtg.rgqra.bergeg"
>>> string.replace("a.b", "")
'rgowtg.rgqrergeg'
Somehow puzzled by the way regular expressions work in python, I am looking to replace all commas inside strings that are preceded by a letter and followed either by a letter or a whitespace. For example:
2015,1674,240/09,PEOPLE V. MICHAEL JORDAN,15,15
2015,2135,602832/09,DOYLE V ICON, LLC,15,15
The first line has effectively 6 columns, while the second line has 7 columns. Thus I am trying to replace the comma between (N, L) in the second line by a whitespace (N L) as so:
2015,2135,602832/09,DOYLE V ICON LLC,15,15
This is what I have tried so far, without success however:
new_text = re.sub(r'([\w],[\s\w|\w])', "", text)
Any ideas where I am wrong?
Help would be much appreciated!
The pattern you use, ([\w],[\s\w|\w]), is consuming a word char (= an alphanumeric or an underscore, [\w]) before a ,, then matches the comma, and then matches (and again, consumes) 1 character - a whitespace, a word character, or a literal | (as inside the character class, the pipe character is considered a literal pipe symbol, not alternation operator).
So, the main problem is that \w matches both letters and digits.
You can actually leverage lookarounds:
(?<=[a-zA-Z]),(?=[a-zA-Z\s])
See the regex demo
The (?<=[a-zA-Z]) is a positive lookbehind that requires a letter to be right before the , and (?=[a-zA-Z\s]) is a positive lookahead that requires a letter or whitespace to be present right after the comma.
Here is a Python demo:
import re
p = re.compile(r'(?<=[a-zA-Z]),(?=[a-zA-Z\s])')
test_str = "2015,1674,240/09,PEOPLE V. MICHAEL JORDAN,15,15\n2015,2135,602832/09,DOYLE V ICON, LLC,15,15"
result = p.sub("", test_str)
print(result)
If you still want to use \w, you can exclude digits and underscore from it using an opposite class \W inside a negated character class:
(?<=[^\W\d_]),(?=[^\W\d_]|\s)
See another regex demo
\w matches a-z,A-Z and 0-9, so your regex will replace all commas. You could try the following regex, and replace with \1\2.
([a-zA-Z]),(\s|[a-zA-Z])
Here is the DEMO.