Processing Regex Python
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The document discusses using regular expressions (regex) in Python to identify patterns in text, such as phone numbers. It provides examples of scripts that use regex to check if a string is a valid phone number format. The document also introduces the re module for incorporating regex into Python scripts. It describes functions like compile(), search(), and findall() that allow compiling regex patterns and searching/extracting all matches from text.
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![WHY IS REGEX NECESSARY?
Question: What does the following script do?
def isPhoneNUmber(text):
if len(text) != 12:
return False
for i in range(0, 3):
if not text[i].isdecimal():
return False
if text[3] != ‘-’:
return False
for i in range(4, 7):
if not text[i].isdecimal():
return False
if text[7] != ‘-’:
return False
for i in range(8, 12):
if not text[i].isdecimal():
return False
return True](https://image.slidesharecdn.com/regex-python-160418011116/85/Processing-Regex-Python-2-320.jpg)
![WHY IS REGEX NECESSARY?
Question: What about this one?
message = raw_input(“Enter a string”)
for I in range(len(message)):
chunk = message[i: i+12]
if (isPhoneNumber(chunk):
print “Phone number found: “ + chunk
Print “Done”](https://image.slidesharecdn.com/regex-python-160418011116/85/Processing-Regex-Python-3-320.jpg)
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Processing Regex Python
- 2. WHY IS REGEX NECESSARY? Question: What does the following script do? def isPhoneNUmber(text): if len(text) != 12: return False for i in range(0, 3): if not text[i].isdecimal(): return False if text[3] != ‘-’: return False for i in range(4, 7): if not text[i].isdecimal(): return False if text[7] != ‘-’: return False for i in range(8, 12): if not text[i].isdecimal(): return False return True
- 3. WHY IS REGEX NECESSARY? Question: What about this one? message = raw_input(“Enter a string”) for I in range(len(message)): chunk = message[i: i+12] if (isPhoneNumber(chunk): print “Phone number found: “ + chunk Print “Done”
- 4. ARE THEY THAT IMPORTANT? Regular Expressions as we have previously discussed are dynamic descriptive patterns designated for searching (pattern recognition). Ex. Without regular expressions you are hard coding fixed values to search for = vs. like
- 5. INCORPORATING REGEX IN PYTHON Python once again makes life simpler by having a prebuilt module to simplify incorporating the code into your scripts. Enter the re module Code: import re There are 2 benefits to using the re module: 1) Predefined Functions: compile(), search(), findall() 2) The RegEx syntax is almost identical to Perl
- 6. PYTHON’S REGEX CHEAT SHEET
- 7. COMPILING A REGEX EXPRESSION Each iteration that a RegEx expression is used in python must be reread and interepretted. Thus if you were to search through an entire document each line would have to reinterpret the expression. This can cause increased execution times and inefficiency. The ‘re’ module has a function that will compile the expression for easy reusability. Code: varName = re.compile(REGEX EXPRESSION) Ex. phoneNumRegEx = re.compile(“ddd-ddd-dddd”)
- 8. THE SEARCH FUNCTION The search() function will search a document for the first occurrence of the pattern. It will return a True or False value depending on if there was a match to the pattern. Code: compExpVar.search(TEXT) Ex. phNumRegEx = re.compile(“ddd-ddd-dddd”) mo = phNumRegEx.search(“Here is 444-343-3243”) print mo print mo.group()
- 9. LET’S FIND EVERYTHING In addition to the search() function, the ‘re’ module also has a findall() function. findall() will return all of the strings that match the RegEx expression. Code: compExpVar.findall(TEXT) Ex. phNumRegEx = re.compile(“ddd”) mo = phNumRegEx.findall(“Here is 444-343-3243”) print mo