I’m trying to match a specific pattern using the re module in python.
I wish to match a full sentence (More correctly I would say that they are alphanumeric string sequences separated by spaces and/or punctuation)
Eg.
- “This is a regular sentence.”
- “this is also valid”
- “so is This ONE”
I’m tried out of various combinations of regular expressions but I am unable to grasp the working of the patterns properly, with each expression giving me a different yet inexplicable result (I do admit I am a beginner, but still).
I’m tried:
-
“((\w+)(\s?))*”
To the best of my knowledge this should match one or more alpha alphanumerics greedily followed by either one or no white-space character and then it should match this entire pattern greedily. This is not what it seems to do, so clearly I am wrong but I would like to know why. (I expected this to return the entire sentence as the result)
The result I get for the first sample string mentioned above is [(‘sentence’, ‘sentence’, ”), (”, ”, ”), (”, ”, ”), (”, ”, ”)]. -
“(\w+ ?)*”
I’m not even sure how this one should work. The official documentation(python help(‘re’)) says that the ,+,? Match x or x (greedy) repetitions of the preceding RE.
In such a case is simply space the preceding RE for ‘?’ or is ‘\w+ ‘ the preceding RE? And what will be the RE for the ‘‘ operator? The output I get with this is [‘sentence’]. -
Others such as “(\w+\s?)+)” ; “((\w*)(\s??)) etc. which are basically variation of the same idea that the sentence is a set of alpha numerics followed by a single/finite number of white spaces and this pattern is repeated over and over.
Can someone tell me where I go wrong and why, and why the above expressions do not work the way I was expecting them to?
P.S I eventually got “[ \w]+” to work for me but With this I cannot limit the number of white-space characters in continuation.
Your reasoning about the regex is correct, your problem is coming from using capturing groups with
*. Here’s an alternative:In this case it might make more sense for you to use
\bin order to match word boundries.Alternatively you can match the entire sentence via
re.matchand usere.group(0)to get the whole match: