Remove characters except digits from string using Python?
Smoothly eradicate all non-digits using Python's re
module. The re.sub()
function combined with the regex pattern '\D'
gets rid of all non-digits, creating the most eloquent silence.
Digesting the regex recipe
Think of regular expressions as a chef's knife for string manipulation in Python. They slice and dice text based on patterns. Looking to discard all but the beloved digits? Just get '\D'
into the skirmish with the mighty re.sub()
! Here's your bag of bricks:
Now you're cooking with gas! Or electricity, no appliance shaming here.
Throw in some curveballs:
- Blank slate:
re.sub('\D', '', '')
returns''
. If there's nothing, you get nothing. Deep, right? - Zero digits:
re.sub('\D', '', 'abc')
returns''
, too. Lack of numbers begets lack of numbers. Sad truth.
Not just one door to the party, folks!
The dynamic duo: filter()
and join
In Python 3, filter()
and str.isdigit
bond like PB&J to commit a heist and take only the digits. Mix in ''.join()
for extra flair:
The mighty mapper: str.translate()
Python 3 invites you to a masquerade ball with str.maketrans()
. Create an identity switch for the non-digits. Send them to string heaven:
Unleashing raw power: generator expressions
Get memory-efficient with generator expressions. Just think of it as a small power generator supplying electricity to a remote cabin.
Exotica: wrangling special number formats
Floating-point numbers are like balloons - light, airy, but need careful handling to prevent accidents. Here's a piece of regex magic sprinkled in:
And voila! Decimal digits living happily with their rightful negative sign.
And now, for the Unicode Strings (Python 3)...
Remember that fancy translate()
method? It's back but with a different mask. Pass it a mapping dictionary for Unicode strings:
Best practices in preserving value
Be the valiant protector of number integrity. Consider a formatted amount like "$1,234.56"
. Decimal points, negative numbers, and nasty leading zeros need careful handling. That's how we maintain usable numerical values. Good job!
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