I have a list of column names that are in string format like below: Now I want to add df[] with ” ‘ ” to each column name using regex and I did it which does that when the list has (wallet-phone) this kind of string it gives an output like this df[(‘wallet’]-df[‘phone’)]. How do I get like this (df[‘wallet’]-df[‘phone’]),
Tag: python-re
what data type is returned by re.search(pattern, stringOfText) in Python? An int or string?
Consider the following code below. I was told that if regExMagic() doesn’t find a match for Lucy in the string of text, it returns “None” to regExMagic(). Since “None” is already a string why do we still need to wrap regExMagic() in a str() in the comparison below? What’s interesting is when I removed str() it executed only the else
removing URL from string using python’s re
Using this to try to remove URLs from a string: Unfortunately it works for simple URLs but not for complex ones. So something like http://www.example.com/somestuff.html will be removed but something like http://www.example.com/somestuff.html?query=python etc. will just leave trailing bits behind. I think I’m at the limits of my re knowledge so any help will be much appreciated. Thx. Answer Try: r”https?:[^s]+”
Remove unicode encoded emojis from Twitter tweet
For a data science project I am tasked with the cleanup of our twitter data. The tweets contain unicode encoded emojis (and other stuff) in the form of ud83dudcf8 (camera emoji) or ud83cuddebud83cuddf7 (french flag) for example. I am using the python-package “re” and so far I was successful in removing “simple” unicodes like u201c (double quotation mark) with something
Detecting a specific string with regex in python
I have a csv file with below string structure: I want to get any string which comes after Match: For example the expected result shared as below: with below code it is not possible to get my relative string: Answer This works: gives
Python – Fast count words in text from list of strings and that start with
I know that similar questions have been asked several times, but my problem is a bit different and I am looking for a time-efficient solution, in Python. I have a set of words, some of them end with the “*” and some others don’t: I have to count their total occurrences in a text, considering that anything can go after
How to read all csv files from web page in a pandas data frame?
I’m trying to read all .csv files from https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports to a data frame. My code so far: Maybe somebody can help :D Answer Change the URL to and it should work. This gives you access to the raw csv file and not to a page the csv is on. Edit: Just noticed that you need your old url to get
How to re.search module on python
In a part of my program, I have to check an email entered and I want to make it so any domain name can work for the checker, current code as below; Currently, this will work for any email in for example@email.com but as some emails are in the form example@email.co.uk so how can I can make ’emailFormat’ valid for
Question on regex not performing as expected
I am trying to change the suffixes of companies such that they are all in a common pattern such as Limited, Limiteed all to LTD. Here is my code: I’m trying ‘ABC CORPORATN’ and it’s not converting it to CORP. I can’t see what the issue is. Any help would be great. Edit: I have tried the other endings that
groupdict in regex
I have the following string: I wrote a regex for this which will find the first-name and last-name of user: Result: Sometimes, I don’t get the last name. At that time, my regex fails. Can any one have any idea regarding this? Answer You may use See the regex demo Regex details ^ – start of string (?:(?:M(?:(?:is|r)?s|r)|[JS]r).?s+)? – an