I am constructing an ID, in Javascript, which doesn’t allow special character and uppercase letter. We could have / _ – in the ID, but the it should not begin with these. hello correct helloWorld incorrect 123hello correct hello/world correct -hello incorrect _hello incorrect $hello incorrect /hello incorrect hello$ incorrect hello_world correct hello-world correct hello-world/apple… Read More Unmatch when Slash( / ) is followed by Underscore( _ ) or hyphen( – )

I would like to extract substrings that start after a number and before a double underscore. Below you see two test strings and the expected output after ->. ‘1234514 TEST STRING__blabla3452b’ -> ‘TEST STRING’ ‘16275653 TEST_STRING__bl67abla3452b’ -> ‘TEST_STRING’ The regex I came up with so far: (?:^|\n)\d+([^__]+) only returns the first but not the second… Read More Regex match after numbers before double underscore

I try to create a regular expression to match strings between quotes but it seem’s not working. My RegExp: \[shortanalytics\snumber=[0-9]+\stoptext="[A-Za-z]+"\sbottomtext="[A-Za-z]+"\sicon=[A-Za-z]+\] Text to match: [shortanalytics number=60 toptext="super test" bottomtext="test 2" icon=add] >Solution : You can try using the following one: "([^"]+)" Explanation: ": quote ([^"]+): any character other than quote ": quote This will match any… Read More Regex to match strings between quotes

Looking for help completing my regex. I’m looking to match two cases of import statements in code. import package and import module from package My current regex matches on the latter, but i want to turn it into an optional query in case the former pattern is found without the from keyword immediately proceeding. Here… Read More Regex to optionally match tokens

I have a regex that looks like this to extract order numbers from columns: df["Orders"].str.extract(‘([0-9]{9,10}[/+ #_;.-]?)’) The orders column can look like this: 12 123456789 1234567890 123456789/1234567890 123456789/1/123456789 123456789+1234567890 The resulting new column in the dataframe after the regex should look like this: NaN 123456789 1234567890 123456789/1234567890 123456789/123456789 123456789+1234567890 However, with my current regex I’m… Read More Regex to match multiple numbers within string

I have a string with 2 phrases, separated by an upper case word in the same string: c="Text is here. TEST . More text here also" I want to separate both phrases, removing the upper case word, TEST so that the output looks like: ["Text is here.","More text here also"] What I did: import re… Read More Split string on Upper Case word

Am I doing something incorrectly with wildcards? I am trying to trim anything that follows " > " but it is only trimming the " > " import re noteIndex = "5/10/22, 14:20 > Mr Frank" subStrip = ‘ > *’ noteStrip = noteIndex.replace(", " , "/") noteID = re.sub(subStrip , "" , noteStrip) print(noteID)… Read More re.sub() wildcard

I have a function that is getting a string of "lead time" in WooCommerce. An example would be:Available! Estimated Lead Time: 2-3 Weeks. I want to get the 2-3 Weeks. So far, I’ve been able to do it with the following function: function display_lead_time_notice_card() { global $product; //Get Stock Status $in_stock = $product->get_availability()[‘class’]; //If In… Read More Is there a cleaner way to extract a substring from a string in PHP using RegEx?

how can I specify a regex that allows numbers from -20 to 20, including 0 and decimal points? e.g all of the following are allowed: 20 19.99 5 0.5 0 1 3.45 -20 -17.20 >Solution : If you’re looking for a regex for your task, you can use this one: ^-?1?\d(\.[\d]+)?$|^-?20$ Explanation: ^: start of… Read More simple regex to allow numbers from -20 to 20 with decimal points

I want to replace words and spaces that appear before a digit in a string with nothing. For example, for the string = ‘Juice of 1/2’, I want to return ‘1/2’. I tried the following, but it did not work. string = "Juice of 1/2" new = string.replace(r"^.+?(?=\d)", "") Also I am trying to perform… Read More Use regex to replace words before any digit with nothing