I am writing a python MapReduce word count program. Problem is that there are many non-alphabet chars strewn about in the data, I have found this post Stripping everything but alphanumeric chars from a string in Python which shows a nice solution using regex, but I am not sure how to implement it
Cleaning the values of a multitype data frame in python/pandas, I want to trim the strings. I am currently doing it in two instructions :
I have a sample string <alpha.Customer[cus_Y4o9qMEZAugtnW] active_card=<alpha.AlphaObject[card] ...>, created=1324336085, description='Customer for My Test App', livemode=False>
I’m trying to open a webpage using urllib.request.urlopen() then search it with regular expressions, but that gives the following error:
I’m looking for a code in python using regex that can perform something like this
In .net you can use p{L} to match any letter, how can I do the same in Python? Namely, I want to match any uppercase, lowercase, and accented letters.
What is the best way to split a string like "HELLO there HOW are YOU" by upper case words (in Python)?
I would like to write a regex for searching for the existence of some words, but their order of appearance doesn’t matter.
I’m attempting to string match 5-digit coupon codes spread throughout a HTML web page. For example, 53232, 21032, 40021 etc… I can handle the simpler case of any string of 5 digits with [0-9]{5}, though this also matches 6, 7, 8… n digit numbers. Can someone please suggest how I would modify this regular expression to match only 5 digit numbers?
I have a string in Python, say The quick @red fox jumps over the @lame brown dog.