I have the following pattern:
find_pattern = re.compile(r'(ga:country:\s)([a-zA-Z()\s]*)(.*users:\s)(\d+),')
This is how the input that should be matched looks like:
ga:country: (not set),Date range:0,ga:users:60,
ga:country: Albania,Date range:0,ga:users:7,
ga:country: Algeria,Date range:0,ga:users:10,
...
ga:country: Argentina,Date range:0,ga:users:61,
ga:country: Armenia,Date range:0,ga:users:2,
And this is how the output is going to be formatted (in case it adds any value to the question):
['(not set)', 60],
['Albania', 7],
And when I run a test:
matches = find_pattern.finditer(self.data)
print('matches:', matches)
for match in matches:
print(match)
No matches are found.
Hope someone is able to help.
I would suggest using 2 capturing groups instead of 4, add optional whitespace chars after ga: and make the whitspace chars optional after users:
The .* could also be non greedy .*? to get the first one in case there are more users: parts.
To prevent users: begin part of a larger word, you could make it more specific matching :users:
\bga:\s*country:\s*([a-zA-Z()\s]*),.*?:users:(\d+)
Regex demo
Example with re.findall that returns the values of the capturing groups:
import re
regex = r"\bga:\s*country:\s*([a-zA-Z()\s]*),.*?:users:(\d+)"
s = ("ga:country: (not set),Date range:0,ga:users:60,\n"
"ga:country: Albania,Date range:0,ga:users:7,\n"
"ga:country: Algeria,Date range:0,ga:users:10,\n"
"ga:country: Argentina,Date range:0,ga:users:61,\n"
"ga:country: Armenia,Date range:0,ga:users:2,")
print(re.findall(regex, s))
Output
[('(not set)', '60'), ('Albania', '7'), ('Algeria', '10'), ('Argentina', '61'), ('Armenia', '2')]
Related
The text is like "1-2years. 3years. 10years."
I want get result [(1,2),(3),(10)].
I use python.
I first tried r"([0-9]?)[-]?([0-9])years". It works well except for the case of 10. I also tried r"([0-9]?)[-]?([0-9]|10)years" but the result is still [(1,2),(3),(1,0)].
Your attempt r"([0-9]?)[-]?([0-9])years" doesn't work for the case of 10 because you ask it to match one (or zero) digit per group.
You also don't need the hyphen in brackets.
This should work: Regex101
(\d+)(?:-(\d+))?years
Explanation:
(\d+): Capturing group for one or more digits
(?: ): Non-capturing group
- : hyphen
(\d+): Capturing group for one or more digits
(?: )?: Make the previous non-capturing group optional
In python:
import re
result = re.findall(r"(\d+)(?:-(\d+))?years", "1-2years. 3years. 10years.")
# Gives: [('1', '2'), ('3', ''), ('10', '')]
Each tuple in the list contains two elements: The number on the left side of the hyphen, and the number on the right side of the hyphen. Removing the blank elements is quite easy: you loop over each item in result, then you loop over each match in this item and only select it (and convert it to int) if it is not empty.
final_result = [tuple(int(match) for match in item if match) for item in result]
# gives: [(1, 2), (3,), (10,)]
This should work:
import re
st = '1-2years. 3years. 10years.'
result = [tuple(e for e in tup if e)
for tup in re.findall(r'(?:(\d+)-(\d+)|(\d+))years', st)]
# [('1', '2'), ('3',), ('10',)]
The regex will look for either one number, or two separated by a hyphen, immediately prior to the word years. If we give this to re.findall(), it will give us the output [('1', '2', ''), ('', '', '3'), ('', '', '10')], so we also use a quick list comprehension to filter out the empty strings.
Alternately we could use r'(\d+)(?:-(\d+))?years' to basically the same effect, which is closer to what you've already tried.
You can use this pattern: (?:(\d+)-)?(\d+)years
See Regex Demo
Code:
import re
pattern = r"(?:(\d+)-)?(\d+)years"
text = "1-2years. 3years. 10years."
print([tuple(int(z) for z in x if z) for x in re.findall(pattern, text)])
Output:
[(1, 2), (3,), (10,)]
You only match a single digit as the character class [0-9] is not repeated.
Another option is to match the first digits with an optional part for - and digits.
Then you can split the matches on -
\b(\d+(?:-\d+)?)years\.
\b A word boundary
( Capture group 1 (which will be returned by re.findall)
\d+(?:-\d+)? Match 1+ digits and optionally match - and again 1+ digits
) Close group 1
years\. Match literally with the escaped .
See a regex demo and a Python demo.
Example
pattern = r"\b(\d+(?:-\d+)?)years\."
s = "1-2years. 3years. 10years."
res = [tuple(v.split('-')) for v in re.findall(pattern, s)]
print(res)
Output
[('1', '2'), ('3',), ('10',)]
Or if a list of lists is also ok instead of tuples
res = [v.split('-') for v in re.findall(pattern, s)]
Output
[['1', '2'], ['3'], ['10']]
I'm trying to extract tokens/part of tokens that have numeric/alphanumeric characters that have a length greater than 8 from the text.
Example:
text = 'https://stackoverflow.com/questions/59800512/ 510557XXXXXX2302 Normal words 1601371803 NhLw6NlR0EksRWkLddEo7NiEvrg https://www.google.com/search?q=some+google+search&oq=some+google+search&aqs=chrome..69i57j0i22i30l8j0i390.4672j0j7&sourceid=chrome&ie=UTF-8'
The expected output would be :
59800512 510557XXXXXX2302 1601371803 NhLw6NlR0EksRWkLddEo7NiEvrg 69i57j0i22i30l8j0i390 4672j0j7
I have tried using the regular expression : ((\d+)|([A-Za-z]+\d)[\dA-Za-z]*) based on the answer Python Alphanumeric Regex. I got the following results :
[match for match in re.findall(r"((\d+)|([A-Za-z]+\d)[\dA-Za-z]*)",text)]
Output :
[('59800512', '59800512', ''),
('510557', '510557', ''),
('XXXXXX2302', '', 'XXXXXX2'),
('1601371803', '1601371803', ''),
('NhLw6NlR0EksRWkLddEo7NiEvrg', '', 'NhLw6'),
('69', '69', ''),
('i57j0i22i30l8j0i390', '', 'i5'),
('4672', '4672', ''),
('j0j7', '', 'j0'),
('8', '8', '')]
I'm getting a tuple of matching groups for each matching token.
It is possible to filter these tuples again. But I'm trying to make the code as efficient and pythonic as possible.
Could anyone suggest a solution? It need not be based on regular expressions.
Thanks in advance
Edit :
I expect alphanumeric values of length equal to or greater than 8
You get the tuples in the result, as re.findall returns the values of the capture groups.
But you can omit the capture groups and change the pattern to a single match, matching at least a digit between chars A-Z a-z and assert a minimum of 8 characters using a positive lookahead.
\b(?=[A-Za-z0-9]{8})[A-Za-z]*\d[A-Za-z\d]*\b
\b A word boundary
(?=[A-Za-z0-9]{8}) Positive lookahead, assert at least 8 occurrences of any of the listed ranges
[A-Za-z]* Optionally match a char A-Z a-z
\d Match a digit
[A-Za-z\d]* Optionall match a char A-Z a-z or a digit
\b A word boundary
See a regex demo or a Python demo.
import re
from pprint import pprint
pattern = r"\b(?=[A-Za-z0-9]{8})[A-Za-z]*\d[A-Za-z\d]*\b"
s = "https://stackoverflow.com/questions/59800512/ 510557XXXXXX2302 Normal words 1601371803 NhLw6NlR0EksRWkLddEo7NiEvrg https://www.google.com/search?q=some+google+search&oq=some+google+search&aqs=chrome..69i57j0i22i30l8j0i390.4672j0j7&sourceid=chrome&ie=UTF-8"
pprint(re.findall(pattern, s))
Output
['59800512',
'510557XXXXXX2302',
'1601371803',
'NhLw6NlR0EksRWkLddEo7NiEvrg',
'69i57j0i22i30l8j0i390',
'4672j0j7']
I came up with:
\b[A-Za-z]{,7}\d[A-Za-z\d]{7,}\b
See an online demo
\b - Word boundary.
[A-Za-z]{,7} - 0-7 times a alphachar.
\d - A single digit.
[A-Za-z\d]{7,} - 7+ times an alphanumeric char.
\b - Word boundary.
Some sample code:
import re
s = "https://stackoverflow.com/questions/59800512/ 510557XXXXXX2302 Normal words 1601371803 NhLw6NlR0EksRWkLddEo7NiEvrg https://www.google.com/search?q=some+google+search&oq=some+google+search&aqs=chrome..69i57j0i22i30l8j0i390.4672j0j7&sourceid=chrome&ie=UTF-8"
result = re.findall(r'\b[A-Za-z]{,7}\d[A-Za-z\d]{7,}\b', s)
print(result)
Prints:
['59800512', '510557XXXXXX2302', '1601371803', 'NhLw6NlR0EksRWkLddEo7NiEvrg', '69i57j0i22i30l8j0i390', '4672j0j7']
You could opt to match case-insensitive with:
(?i)\b[a-z]{,7}\d[a-z\d]{7,}\b
Although the selected answer returns the required output, it is not generic, and it fails to match specific cases (eg., s= "thisword2H2g2d")
For a more generic regex that works for all combinations of alphanumeric values:
result = re.findall(r"(\d+[A-Za-z\d]+\d*)|([A-Za-z]+[\d]+[A-Za-z\d]*)")
See the demo here.
What I want
Suppose I have the following string:
"Abc def. 2. Ghi jkl. → 1. Mno 2. Pqrs 3. Tu 4 vx 5. yz..."
Now I want to write a regular expression in Python that matches and groups each list item after the character → such that each group would contain the list item number and the content for that list item, like this:
('1', 'Mno')
('2', 'Pqrs')
('3', 'Tu 4 vx')
('5', 'yz..')
In other words, after I encounter → I want to match patterns that look something like:
'([0-9]+)\.[" "]*(.*)'
I know that the obvious practical solution is to split the string and only search the section that comes after →, but I'm more interested in a theoretical, maybe-not-so-practical solution using only regular expression, in order to get a better understanding of regular expressions.
What I've tried
I have tried using look-behind like this:
'(?<=→)[" "]*([0-9]+)\.[" "]*(.*?)(?=[0-9]+\.|$)'
which finds the first match, but then things seem to get vastly more complex since it SEEMS as if I need to use another look-behind to match everything that's not the first occurrence. But since I don't know the length of the first list item, and Python only supports fixed-width look-behinds, I'm not sure how to proceed.
You could make use of the Python PyPi regex module and make use of the \G anchor to get continuous matches. The \G anchor matches at the start of the string of at the end of the previous match.
Use 2 capturing groups to get the data and use regex.findall to return the values from the groups.
Pattern
(?:^[^→\r\n]*→|\G(?!^))[^\S\r\n]*(\d+)\.[^\S\r\n]*(.*?)[^\S\r\n]*(?=$|\d\.)
Explanation
(?: Non capture group
^[^→\r\n]*→ Match 0+ occurrences of any char except a newline or →
| Or
\G(?!^) Assert the position at the end of the previous match, not at the start
) Close group
[^\S\r\n]* Match 0+ whitespaces except a newline
(\d+) Capture group 1, match 1+ digits
\.?[^\S\r\n]* Match an optional dot followed by 0+ whitespaces except a newline
(.*?) Capture group 2, match any char 0+ times non greedy
[^\S\r\n]* Match 0+ trailing whitespaces
(?= Positive lookahead, assert what is on the right is
$|\d\. Assert end of string or match a digit and dot
) Close lookahead
Regex demo in pcre | Python demo
Code example
import regex
pattern = r"(?:^[^→\r\n]*→|\G(?!^))[^\S\r\n]*(\d+)\.[^\S\r\n]*(.*?)[^\S\r\n]*(?=$|\d\.)"
test_str = "Abc def. 2. Ghi jkl. → 1. Mno 2. Pqrs 3. Tu 4 vx 5. yz..."
print(regex.findall(pattern, test_str))
Output
[('1', 'Mno'), ('2', 'Pqrs'), ('3', 'Tu 4 vx'), ('5', 'yz...')]
I have a string s = '10000',
I need using only the Python re.findall to get how many 0\d0 in the string s
For example: for the string s = '10000' it should return 2
explanation:
the first occurrence is 10000 while the second occurrence is 10000
I just need how many occurrences and not interested in the occurrence patterns
I've tried the following regex statements:
re.findall(r'(0\d0)', s) #output: ['000']
re.findall(r'(0\d0)*', s) #output: ['', '', '000', '', '', '']
Finally, if I want to make this regex generic to fetch any number then
any_number_included_my_number then the_same_number_again, how can I do it?
How to get all possible occurrences?
The regex
As I mentioned in my comment, you can use the following pattern:
(?=(0\d0))
How it works:
(?=...) is a positive lookahead ensuring what follows matches. This doesn't consume characters (allowing us to check for a match at each position in the string as a regex would otherwise resume pattern matching after the consumed characters).
(0\d0) is a capture group matching 0, then any digit, then 0
The code
Your code becomes:
See code in use here
re.findall(r'(?=(0\d0))', s)
The result is:
['000', '000']
The python re.findall method states the following
If one or more groups are present in the pattern, return a list of groups; this will be a list of tuples if the pattern has more than one group.
This means that our matches are the results of capture group 1 rather than the full match as many would expect.
How to generalize the pattern?
The regex
You can use the following pattern:
(\d)\d\1
How this works:
(\d) captures any digit into capture group 1
\d matches any digit
\1 is a backreference that matches the same text as most recently matched by capture group 1
The code
Your code becomes:
See code in use here
re.findall(r'(?=((\d)\d\2))', s)
print([n[0] for n in x])
Note: The code above has two capture groups, so we need to change the backreference to \2 to match correctly. Since we now have two capture groups, we will get tuples as the documentation states and can use list comprehension to get the expected results.
The result is:
['000', '000']
I have this regex: ^:([^:]+):([^:]*) which works as in this regex101 link.
Now, in Python, I have this:
def get_data():
data = read_mt_file()
match_fields = re.compile('^:([^:]+):([^:]*)', re.MULTILINE)
fields = re.findall(match_fields, data)
return fields
Which, for a file containing the data from regex101, returns:
[('1', 'text\ntext\n\n'), ('20', 'text\n\n'), ('21', 'text\ntext\ntext\n\n'), ('22', ' \n\n'), ('25', 'aa\naa\naaaaa')]
Now, this is ok, but I want to change the regex, so that I can get the number of groups to vary depending on the number of lines. Meaning:
for the first line, now, I get two groups:
1
text\ntext\n\n
I'd like to get instead:
1
((text\n), (text\n\n)) <-- those should be somehow in the same group but separated, each in his own subgroup. Somehow I need to know they both belong to 1 field, but are sepparate lines.
So, In python, the desired result for that file would be:
[('1', '(text\n), (text\n\n)'), ('20', 'text\n\n'), ('21', '(text\n), (text\n), (text\n\n)'), ('22', ' \n\n'), ('25', '(aa\n), (aa\n), (aaaaa)')]
Is this possible with regex? Could this be achieved with some nice string manipulation instead ?
To do what you want, you'd need another regex.
This is as re.match only matches the last item it matches:
>>> re.match(r'(\d)+', '12345').groups()
('5',)
Instead of using one regex you'll need to use two.
The one that you are using at the moment, and then one to match all the 'sub-groups', using say re.findall.
You can get these sub-groups by simply matching anything that isn't a \n and then any amount of \n.
So you could use a regex such as [^\n]+\n*:
>>> re.findall(r'[^\n]+\n*', 'text\ntext')
['text\n', 'text']
>>> re.findall(r'[^\n]+\n*', 'text\ntext\n\n')
['text\n', 'text\n\n']
>>> re.findall(r'[^\n]+\n*', '')
[]
You may use a simple trick: after getting the matches with your regex, run a .+\n* regex over the Group 2 value:
import re
p = re.compile(r'^:([^:]+):([^:]+)', re.MULTILINE)
s = ":1:text\ntext\n\n:20:text\n\n:21:text\ntext\ntext\n\n:22: \n\n:25:aa\naa\naaaaa"
print([[x.group(1)] + re.findall(r".+\n*", x.group(2)) for x in p.finditer(s)])
Here,
p.finditer(s) finds all matches in the string using your regex
[x.group(1)] - a list created from the first group contents
re.findall(r".+\n*", x.group(2)) - fetches individual lines from Group 2 contents (with trailing newlines, 0 or more)
[] + re.findall - combining the lists into 1.
Result is
[['1', 'text\n', 'text\n\n'], ['20', 'text\n\n'], ['21', 'text\n', 'text\n', 'text\n\n'], ['22', ' \n\n'], ['25', 'aa\n', 'aa\n', 'aaaaa']]
Another approach: match all the substrings with your pattern and then use a re.sub to add ), ( between the lines ending with optional newlines:
[(x, "({})".format(re.sub(r".+(?!\n*$)\n+", r"\g<0>), (", y))) for x, y in p.findall(s)]
Result:
[('1', '(text\n), (text\n\n)'), ('20', '(text\n\n)'), ('21', '(text\n), (text\n), (text\n\n)'), ('22', '( \n\n)'), ('25', '(aa\n), (aa\n), (aaaaa)')]
See the Python 3 demo
Here:
p.findall(s) - grabs all the matches in the form of a list of tuples containing your capture group contents using your regex
(x, "({})".format(re.sub(r".+(?!\n*$)\n+", r"\g<0>), (", y))) - creates a tuple from Group 1 contents and Group 2 contents that are a bit modified with the re.sub the way described below
.+(?!\n*$)\n+ - pattern that matches 1+ characters other than newline and then 1+ newline symbols if they are not at the end of the string. If they are at the end of the string, there will be no replacement made (to avoid , () at the end). The \g<0> in the replacement string is re-inserting the whole match back into the resulting string and appends ), ( to it.