Basics of Regular Expressions in Python, check the link below 👇 👇
Also with table of contents about symbols and their usage in Regex
Regular Expressions Regex basic in Python 👈 👈
Often you want to match an expression only in specific places (leaving them untouched in others, that is). Consider the following sentence:
An apple a day keeps the doctor away (I eat an apple everyday).
Here the “apple” occurs twice which can be solved with so called backtracking control verbs which are supported by the newer regex module. The idea is:
forget_this | or this | and this as well | (but keep this)
With our apple example, this would be:
import regex as re # Download regex using pip3 string = "An apple a day keeps the doctor away (I eat an apple everyday)." rx = re.compile(r''' \([^()]*\) (*SKIP)(*FAIL) | apple''', re.VERBOSE) # match anything in parentheses and "throw it away" # or # match an apple apples = rx.findall(string) print(apples) #Output: ['apple']
This matches “apple” only when it can be found outside of the parentheses. Here’s how it works:
- While looking from left to right, the regex engine consumes everything to the left, the (SKIP) acts as an “always-true-assertion”. Afterwards, it correctly fails on (FAIL) and backtracks.
- Now it gets to the point of (SKIP) from right to left (aka while backtracking) where it is forbidden to go any further to the left. Instead, the engine is told to throw away anything to the left and jump to the point where the (SKIP) was invoked.
ILLUSTRATION USING PYTHON3 CLI
![](http://www.fcukthecode.com/wp-content/uploads/2022/02/Screenshot-from-2022-02-23-18-54-05.png)
Iterating over matches using re.finditer
You can use re.finditer to iterate over all matches in a string. This gives you (in comparison to re.findall extra information, such as information about the match location in the string (indexes):
import re text = 'You can try to find an ant in this string' pattern = 'an?\w' # find 'an' either with or without a following word character for match in re.finditer(pattern, text): # Start index of match (integer) sStart = match.start() # Final index of match (integer) sEnd = match.end() # Complete match (string) sGroup = match.group() # Print match print('Match "{}" found at: [{},{}]'.format(sGroup, sStart,sEnd))
OUTPUT:
Match “an” found at: [5,7]
Match “an” found at: [20,22]
Match “ant” found at: [23,26]