I have a string that is supposed to list some dollar amounts and looks like this:
4000.05 . 5.200000000 300.650000 2000 .
It is ultimately supposed to look like this:
4000.05 5200000000 300650000 2000
with all non-decimal periods removed. I am attempting to use this regex to remove all periods that are not followed by two numbers and then a non-numeric character:
re.sub(".(?!([0-9])?!([0-9])?=([0-9]))","",f)
but this ends up emptying the entire string. How can I accomplish this?
First of all, a dot is a meta-character in regex, that matches any character. You need to escape it. Or put in a character class, where meta-characters don't have any special meaning. Of course you need to escape the closing brackets ], which will otherwise be taken as the end of character class.
Secondly your negative look-ahead is flawed.
Try something like this:
re.sub(r'[.](?![0-9]{2}\W)',"",s)
You need something like this.
string = '4000.05 . 5.200000000 300.650000 2000 .'
print re.sub(r'[.](?![0-9]{2}\D)', '', string)
The regular expression:
[.] any character of: '.'
(?! look ahead to see if there is not:
[0-9]{2} any character of: '0' to '9' (2 times)
\D match non-digits (all but 0-9)
) end of look-ahead
Related
I have the strings 'amount $165' and 'amount on 04/20' (and a few other variations I have no issues with so far). I want to be able to run an expression and return the numerical amount IF available (in the first string it is 165) and return nothing if it is not available AND make sure not to confuse with a date (second string). If I write the code as following, it returns the 165 but it also returns 04 from the second.
amount_search = re.findall(r'amount.*?(\d+)[^\d?/]?, string)
If I write it as following, it includes neither
amount_search = re.findall(r'amount.*?(\d+)[^\d?/], string)
How to change what I have to return 165 but not 04?
To capture the whole number in a group, you could match amount followed by matching all chars except digits or newlines if the value can not cross newline boundaries.
Capture the first encountered digits in a group and assert a whitespace boundary at the right.
\bamount [^\d\r\n]*(\d+)(?!\S)
In parts
\bamount Match amount followed by a space and preceded with a word boundary
[^\d\r\n]* Match 0 or more times any char except a digit or newlines
(\d+) Capture group 1, match 1 or more digits
(?!\S) Assert a whitespace boundary on the right
Regex demo
try this ^amount\W*\$([\d]{1,})$
the $ indicate end of line, for what I have tested, use .* or ? also work.
by grouping the digits, you can eliminate the / inside the date format.
hope this helps :)
Try this:
from re import sub
your_digit_list = [int(sub(r'[^0-9]', '', s)) for s in str.split() if s.lstrip('$').isdigit()]
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']
I have a list of fasta sequences, each of which look like this:
>>> sequence_list[0]
'gi|13195623|ref|NM_024197.1| Mus musculus NADH dehydrogenase (ubiquinone) 1 alp
ha subcomplex 10 (Ndufa10), mRNAGCCGGCGCAGACGGCGAAGTCATGGCCTTGAGGTTGCTGAGACTCGTC
CCGGCGTCGGCTCCCGCGCGCGGCCTCGCGGCCGGAGCCCAGCGCGTGGG (etc)
I'd like to be able to extract the gene names from each of the fasta entries in my list, but I'm having difficulty finding the right regular expression. I thought this one would work: "^/(.+/),$". Start with a parentheses, then any number of any character, then end with a parentheses followed by a comma. Unfortunately: this returns None:
test = re.search(r"^/(.+/),$", sequence_list[0])
print(test)
Can someone point out the error in this regex?
Without any capturing groups,
>>> import re
>>> str = """
... gi|13195623|ref|NM_024197.1| Mus musculus NADH dehydrogenase (ubiquinone) 1 alp
... ha subcomplex 10 (Ndufa10), mRNAGCCGGCGCAGACGGCGAAGTCATGGCCTTGAGGTTGCTGAGACTCGTC
... CCGGCGTCGGCTCCCGCGCGCGGCCTCGCGGCCGGAGCCCAGCGCGTGGG (etc)"""
>>> m = re.findall(r'(?<=\().*?(?=\),)', str)
>>> m
['Ndufa10']
It matches only the words which are inside the parenthesis only when the closing bracket is followed by a comma.
DEMO
Explanation:
(?<=\() In regex (?<=pattern) is called a lookbehind. It actually looks after a string which matches the pattern inside lookbehind . In our case the pattern inside the lookbehind is \( means a literal (.
.*?(?=\),) It matches any character zero or more times. ? after the * makes the match reluctant. So it does an shortest match. And the characters in which the regex engine is going to match must be followed by ),
you need to escape parenthesis:
>>> re.findall(r'\([^)]*\),', txt)
['(Ndufa10),']
Can someone point out the error in this regex? r"^/(.+/),$"
regex escape character is \ not / (do not confuse with python escape character which is also \, but is not needed when using raw strings)
=> r"^\(.+\),$"
^ and $ match start/end of the input string, not what you want to output
=> r"\(.+\),"
you need to match "any" characters up to 1st occurence of ), not to the last one, so you need lazy operator +?
=> r"\(.+?\),"
in case gene names could not contain ) character, you can use a faster regex that avoids backtracking
=> r"\([^)]+\),"
I have a string in the form of:
"[NUM : NAME : NUM]: [NUM : NAME : NUM]:..."
I want to be able to extract all the NAMEs out of this string. The NAME can have any character, ranging from alphabet to punctuation symbols and numbers. NUM is only in the form of [0-9]+
I tried issuing this command:
re.findall(r"\[[0-9]+\:([.]+)\:[0-9]+\]", string)
But instead of giving what I requested, it would bunch up a few [NUM : NAME : NUM]s into the [.]+ group, which is also correct in terms of this regex, but not what I need.
Any help would be much appreciated.
Try this:
re.findall(r"\[[0-9]+\:(.+?)\:[0-9]+\]", string)
Adding the ? after the + is non-greedy. Greedy means that the + will take as many characters as possible while still matching and it is greedy by default. By adding the ? you are telling it to be non-greedy, which means the + will take the minimum number of characters to match.
The above will work if there are no spaces between num, :, and name.
If there are spaces then use:
re.findall(r"\[[0-9]+ \: (.+?) \: [0-9]+\]", string)
First problem is that you have enclosed . inside a character class.
So, you have lost the meaning of ., and it only matches just a
dot(.).
Secondly, you are not considering spaces after the numbers in your
string.
Thirdly, you need to use reluctant quantifier with your .+ in the
center. So, replace - ([.]+) with (.+?).
Fourthly, you don't need to escape your colons (:).
You can try out this: -
>>> re.findall(r'\[[0-9]+[ ]*:(.+?):[ ]*[0-9]+\]', string)
6: [' NAME ', ' NAME ']