I'm developing a calculator program in Python, and need to remove leading zeros from numbers so that calculations work as expected. For example, if the user enters "02+03" into the calculator, the result should return 5. In order to remove these leading zeroes in-front of digits, I asked a question on here and got the following answer.
self.answer = eval(re.sub(r"((?<=^)|(?<=[^\.\d]))0+(\d+)", r"\1\2", self.equation.get()))
I fully understand how the positive lookbehind to the beginning of the string and lookbehind to the non digit, non period character works. What I'm confused about is where in this regex code can I find the replacement for the matched patterns?
I found this online when researching regex expressions.
result = re.sub(pattern, repl, string, count=0, flags=0)
Where is the "repl" in the regex code above? If possible, could somebody please help to explain what the r"\1\2" is used for in this regex also?
Thanks for your help! :)
The "repl" part of the regex is this component:
r"\1\2"
In the "find" part of the regex, group capturing is taking place (ordinarily indicated by "()" characters around content, although this can be overridden by specific arguments).
In python regex, the syntax used to indicate a reference to a positional captured group (sometimes called a "backreference") is "\n" (where "n" is a digit refering to the position of the group in the "find" part of the regex).
So, this regex is returning a string in which the overall content is being replaced specifically by parts of the input string matched by numbered groups.
Note: I don't believe the "\1" part of the "repl" is actually required. I think:
r"\2"
...would work just as well.
Further reading: https://www.regular-expressions.info/brackets.html
Firstly, repl includes what you are about to replace.
To understand \1\2 you need to know what capture grouping is.
Check this video out for basics of Group capturing.
Here , since your regex splits every match it finds into groups which are 1,2... so on. This is so because of the parenthesis () you have placed in the regex.
$1 , $2 or \1,\2 can be used to refer to them.
In this case: The regex is replacing all numbers after the leading 0 (which is caught by group 2) with itself.
Note: \1 is not necessary. works fine without it.
See example:
>>> import re
>>> s='awd232frr2cr23'
>>> re.sub('\d',' ',s)
'awd frr cr '
>>>
Explanation:
As it is, '\d' is for integer so removes them and replaces with repl (in this case ' ').
Related
I am new to regexes.
I have the following string : \n(941)\n364\nShackle\n(941)\nRivet\n105\nTop
Out of this string, I want to extract Rivet and I already have (941) as a string in a variable.
My thought process was like this:
Find all the (941)s
filter the results by checking if the string after (941) is followed by \n, followed by a word, and ending with \n
I made a regex for the 2nd part: \n[\w\s\'\d\-\/\.]+$\n.
The problem I am facing is that because of the parenthesis in (941) the regex is taking 941 as a group. In the 3rd step the regex may be wrong, which I can fix later, but 1st I needed help in finding the 2nd (941) so then I can apply the 3rd step on that.
PS.
I know I can use python string methods like find and then loop over the searches, but I wanted to see if this can be done directly using regex only.
I have tried the following regex: (?:...), (941){1} and the make regex literal character \ like this \(941\) with no useful results. Maybe I am using them wrong.
Just wanted to know if it is possible to be done using regex. Though it might be useful for others too or a good share for future viewers.
Thanks!
Assuming:
You want to avoid matching only digits;
Want to match a substring made of word-characters (thus including possible digits);
Try to escape the variable and use it in the regular expression through f-string:
import re
s = '\n(941)\n364\nShackle\n(941)\nRivet\n105\nTop'
var1 = '(941)'
var2 = re.escape(var1)
m = re.findall(fr'{var2}\n(?!\d+\n)(\w+)', s)[0]
print(m)
Prints:
Rivet
If you have text in a variable that should be matched exactly, use re.escape() to escape it when substituting into the regexp.
s = '\n(941)\n364\nShackle\n(941)\nRivet\n105\nTop'
num = '(941)'
re.findall(rf'(?<=\n{re.escape(num)}\n)[\w\s\'\d\-\/\.]+(?=\n)', s)
This puts (941)\n in a lookbehind, so it's not included in the match. This avoids a problem with the \n at the end of one match overlapping with the \n at the beginning of the next.
This is an example string:
123456#p654321
Currently, I am using this match to capture 123456 and 654321 in to two different groups:
([0-9].*)#p([0-9].*)
But on occasions, the #p654321 part of the string will not be there, so I will only want to capture the first group. I tried to make the second group "optional" by appending ? to it, which works, but only as long as there is a #p at the end of the remaining string.
What would be the best way to solve this problem?
You have the #p outside of the capturing group, which makes it a required piece of the result. You are also using the dot character (.) improperly. Dot (in most reg-ex variants) will match any character. Change it to:
([0-9]*)(?:#p([0-9]*))?
The (?:) syntax is how you get a non-capturing group. We then capture just the digits that you're interested in. Finally, we make the whole thing optional.
Also, most reg-ex variants have a \d character class for digits. So you could simplify even further:
(\d*)(?:#p(\d*))?
As another person has pointed out, the * operator could potentially match zero digits. To prevent this, use the + operator instead:
(\d+)(?:#p(\d+))?
Your regex will actually match no digits, because you've used * instead of +.
This is what (I think) you want:
(\d+)(?:#p(\d+))?
This is a follow up to this SO post which gives a solution to replace text in a string column
How to replace text in a column of a Pandas dataframe?
df['range'] = df['range'].str.replace(',','-')
However, this doesn't seem to work with double periods or a question mark followed by a period
testList = ['this is a.. test stence', 'for which is ?. was a time']
testDf = pd.DataFrame(testList, columns=['strings'])
testDf['strings'].str.replace('..', '.').head()
results in
0 ...........e
1 .............
Name: strings, dtype: object
and
testDf['strings'].str.replace('?.', '?').head()
results in
error: nothing to repeat at position 0
Add regex=False parameter, because as you can see in the docs, regex it's by default True:
-regex bool, default True
Determines if assumes the passed-in pattern is a regular expression:
If True, assumes the passed-in pattern is a regular expression.
And ? . are special characters in regular expressions.
So, one way to do it without regex will be this double replacing:
testDf['strings'].str.replace('..', '.',regex=False).str.replace('?.', '?',regex=False)
Output:
strings
0 this is a. test stence
1 for which is ? was a time
Replace using regular expression. In this case, replace any sepcial character '.' followed immediately by white space. This is abit curly, I advice you go with #Mark Reed answer.
testDf.replace(regex=r'([.](?=\s))', value=r'')
strings
0 this is a. test stence
1 for which is ? was a time
str.replace() works with a Regex where . is a special character which denotes "any" character. If you want a literal dot, you need to escape it: "\.". Same for other special Regex characters like ?.
First, be aware that the Pandas replace method is different from the standard Python one, which operates only on fixed strings. The Pandas one can behave as either the regular string.replace or re.sub (the regular-expression substitute method), depending on the value of a flag, and the default is to act like re.sub. So you need to treat your first argument as a regular expression. That means you do have to change the string, but it also has the benefit of allowing you to do both substitutions in a single call.
A regular expression isn't a string to be searched for literally, but a pattern that acts as instructions telling Python what to look for. Most characters just ask Python to match themselves, but some are special, and both . and ? happen to be in the special category.
The easiest thing to do is to use a character class to match either . or ? followed by a period, and remember which one it was so that it can be included in the replacement, just without the following period. That looks like this:
testDF.replace(regex=r'([.?])\.', value=r'\1')
The [.?] means "match either a period or a question mark"; since they're inside the [...], those normally-special characters don't need to be escaped. The parentheses around the square brackets tell Python to remember which of those two characters is the one it actually found. The next thing that has to be there in order to match is the period you're trying to get rid of, which has to be escaped with a backslash because this one's not inside [...].
In the replacement, the special sequence \1 means "whatever you found that matched the pattern between the first set of parentheses", so that's either the period or question mark. Since that's the entire replacement, the following period is removed.
Now, you'll notice I used raw strings (r'...') for both; that keeps Python from doing its own interpretation of the backslashes before replace can. If the replacement were just '\1' without the r it would replace them with character code 1 (control-A) instead of the first matched group.
To replace both the ? and . at the same time you can separate by | (the regex OR operator).
testDf['strings'].str.replace('\?.|\..', '.')
Prefix the .. with a \, because you need to escape as . is a regex character:
testDf['strings'].str.replace('\..', '.')
You can do the same with the ?, which is another regex character.
testDf['strings'].str.replace('\?.', '.')
I have huge string like this dsdasdludocid=15878284988193842600#lrd=0x3be04dcc5b5ac513:0xdc5b0011ebb625a8,2
I want to get the number after ludocid, only consecutive numbers.
I have tried this regex (ludocid).*(?=\d+\d+) and many more but no luck.
You can try ludocid=(\d+):
s = "dsdasdludocid=15878284988193842600#lrd=0x3be04dcc5b5ac513:0xdc5b0011ebb625a8,2"
import re
re.findall(r"ludocid=(\d+)", s)
# ['15878284988193842600']
You can use this regex:
ludocid\D*(\d+)
RegEx Demo
This will match literal ludocid followed by 0 or more non-digits and then it will match 1 or more digits in captured group #1
Code:
>>> s = 'dsdasdludocid=15878284988193842600#lrd=0x3be04dcc5b5ac513:0xdc5b0011ebb625a8,2'
>>> print re.search(r'ludocid\D*(\d+)', s).group(1)
15878284988193842600
It looks like you just threw a bunch of regex bits together... Let's work through that.
First, this is the correct regex: ludocid.(\d+)
(You would want to use it with re.search instead of re.match, by the way. Match requires the regex to match the entire string.)
But let's look at yours and see what went wrong and how we can get to the correct regex.
(ludocid).*(?=\d+\d+)
Imagine a regex as a function. You pass it the right things, and it gives you the appropriate result. When you wrap things in parentheses, you're saying "Find this and give it back to me." You don't need the ludocid given back to you, I'm guessing... so remove those paren.
ludocid.*(?=\d+\d+)
Now you've got a .*. This is dangerous in regular expressions because it literally says "Grab as many of anything as you possibly can!" Often I use the non-greedy version (.*?), but in this case it looks like we're just expecting a single extra character there. If you know the literal character you can use that, but to be safe I'll leave it as ., which says "Grab any one character."
ludocid.(?=\d+\d+)
Now let's go inside the parentheses. You've got \d+\d+, which says "Find a sequence of one or more digits, and then find another sequence of one or more digits." This equates to "Find a sequence of two or more digits." I don't think this is what you wanted (it's not how you described the problem, anyway), so let's reduce that:
ludocid.(?=\d+)
Okay, great. Now... what is (?=...) for? It's called a lookahead assertion. It says "If you find this string, match things in front of it." The example given in the Python 2.7 documentation is:
(?=...)
Matches if ... matches next, but doesn’t consume any of the string. This is called a lookahead assertion. For example, Isaac (?=Asimov) will match 'Isaac ' only if it’s followed by 'Asimov'.
Essentially this means that your regex will never return the digits. Instead, it looks to see if digits exist, and then it returns things from the rest of the regex. Remove the lookahead assertion and we're there:
ludocid.(\d+)
When you use this with re.search, you'll get the group you want:
>>> s = "dsdasdludocid=15878284988193842600#lrd=0x3be04dcc5b5ac513:0xdc5b0011ebb625a8,2"
>>> import re
>>> re.search(r"ludocid.(\d+)", s).group(1)
'15878284988193842600'
To match only the digits that follow, stopping at the first non-numeric char, try a positive look behind:
(?<=ludocid=)(\d+)
So:
re.findall(r"(?<=ludocid=)(\d+)", s)
The positive look behind will look for what you want, and only match if it is preceded by the 'flag' string.
**Note: **You may need to escape that second = sign like this: (?<=ludocid\=)(\d+)
I'm trying to parse a text document with data in the following format: 24036 -977. I need to separate the numbers into separate values, and the way I've done that is with the following steps.
values = re.search("(.*?)\s(.*)")
x = values.group(1)
y = values.gropu(2)
This does the job, however I was curious about why using (.*?) in the second group causes the regex to fail? I tested it in the online regex tester(https://regex101.com/r/bM2nK1/1), and adding the ? in causes the second group to return nothing. Now as far as I know .*? means to take any value unlimited times, as few times as possible, and the .* is just the greedy version of that. What I'm confused about is why the non greedy version.*? takes that definition to mean capturing nothing?
Because it means to match the previous token, the *, as few times as possible, which is 0 times. If you would it to extend to the end of the string, add a $, which matches the end of string. If you would like it to match at least one, use + instead of *.
The reason the first group .*? matches 24036 is because you have the \s token after it, so the fewest amount of characters the .*? could match and be followed by a \s is 24036.
#iobender has pointed out the answer to your question.
But I think it's worth mentioning that if the numbers are separated by space, you can just use split:
>>> '24036 -977'.split()
['24036', '-977']
This is simpler, easier to understand and often faster than regex.