Is there a Python function that will trim whitespace (spaces and tabs) from a string?
Example: \t example string\t
→ example string
For whitespace on both sides use str.strip
:
s = " \t a string example\t "
s = s.strip()
For whitespace on the right side use rstrip
:
s = s.rstrip()
For whitespace on the left side lstrip
:
s = s.lstrip()
As thedz points out, you can provide an argument to strip arbitrary characters to any of these functions like this:
s = s.strip(' \t\n\r')
This will strip any space, \t
, \n
, or \r
characters from the left-hand side, right-hand side, or both sides of the string.
The examples above only remove strings from the left-hand and right-hand sides of strings. If you want to also remove characters from the middle of a string, try re.sub
:
import re
print(re.sub('[\s+]', '', s))
That should print out:
astringexample
You can also use very simple, and basic function: str.replace(), works with the whitespaces and tabs:
>>> whitespaces = " abcd ef gh ijkl "
>>> tabs = " abcde fgh ijkl"
>>> print whitespaces.replace(" ", "")
abcdefghijkl
>>> print tabs.replace(" ", "")
abcdefghijkl
Simple and easy.
#how to trim a multi line string or a file
s=""" line one
\tline two\t
line three """
#line1 starts with a space, #2 starts and ends with a tab, #3 ends with a space.
s1=s.splitlines()
print s1
[' line one', '\tline two\t', 'line three ']
print [i.strip() for i in s1]
['line one', 'line two', 'line three']
#more details:
#we could also have used a forloop from the begining:
for line in s.splitlines():
line=line.strip()
process(line)
#we could also be reading a file line by line.. e.g. my_file=open(filename), or with open(filename) as myfile:
for line in my_file:
line=line.strip()
process(line)
#moot point: note splitlines() removed the newline characters, we can keep them by passing True:
#although split() will then remove them anyway..
s2=s.splitlines(True)
print s2
[' line one\n', '\tline two\t\n', 'line three ']
No one has posted these regex solutions yet.
Matching:
>>> import re
>>> p=re.compile('\\s*(.*\\S)?\\s*')
>>> m=p.match(' \t blah ')
>>> m.group(1)
'blah'
>>> m=p.match(' \tbl ah \t ')
>>> m.group(1)
'bl ah'
>>> m=p.match(' \t ')
>>> print m.group(1)
None
Searching (you have to handle the "only spaces" input case differently):
>>> p1=re.compile('\\S.*\\S')
>>> m=p1.search(' \tblah \t ')
>>> m.group()
'blah'
>>> m=p1.search(' \tbl ah \t ')
>>> m.group()
'bl ah'
>>> m=p1.search(' \t ')
>>> m.group()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'NoneType' object has no attribute 'group'
If you use re.sub
, you may remove inner whitespace, which could be undesirable.
Having looked at quite a few solutions here with various degrees of understanding, I wondered what to do if the string was comma separated...
While trying to process a csv of contact information, I needed a solution this problem: trim extraneous whitespace and some junk, but preserve trailing commas, and internal whitespace. Working with a field containing notes on the contacts, I wanted to remove the garbage, leaving the good stuff. Trimming out all the punctuation and chaff, I didn't want to lose the whitespace between compound tokens as I didn't want to rebuild later.
[\s_]+?\W+
The pattern looks for single instances of any whitespace character and the underscore ('_') from 1 to an unlimited number of times lazily (as few characters as possible) with [\s_]+?
that come before non-word characters occurring from 1 to an unlimited amount of time with this: \W+
(is equivalent to [^a-zA-Z0-9_]
). Specifically, this finds swaths of whitespace: null characters (\0), tabs (\t), newlines (\n), feed-forward (\f), carriage returns (\r).
I see the advantage to this as two-fold:
that it doesn't remove whitespace between the complete words/tokens that you might want to keep together;
Python's built in string method strip()
doesn't deal inside the string, just the left and right ends, and default arg is null characters (see below example: several newlines are in the text, and strip()
does not remove them all while the regex pattern does). text.strip(' \n\t\r')
This goes beyond the OPs question, but I think there are plenty of cases where we might have odd, pathological instances within the text data, as I did (some how the escape characters ended up in some of the text). Moreover, in list-like strings, we don't want to eliminate the delimiter unless the delimiter separates two whitespace characters or some non-word character, like '-,' or '-, ,,,'.
NB: Not talking about the delimiter of the CSV itself. Only of instances within the CSV where the data is list-like, ie is a c.s. string of substrings.
Full disclosure: I've only been manipulating text for about a month, and regex only the last two weeks, so I'm sure there are some nuances I'm missing. That said, for smaller collections of strings (mine are in a dataframe of 12,000 rows and 40 odd columns), as a final step after a pass for removal of extraneous characters, this works exceptionally well, especially if you introduce some additional whitespace where you want to separate text joined by a non-word character, but don't want to add whitespace where there was none before.
An example:
import re
text = "\"portfolio, derp, hello-world, hello-, -world, founders, mentors, :, ?, %, ,>, , ffib, biff, 1, 12.18.02, 12, 2013, 9874890288, .., ..., ...., , ff, series a, exit, general mailing, fr, , , ,, co founder, pitch_at_palace, ba, _slkdjfl_bf, sdf_jlk, )_(, [email protected], ,dd invites,subscribed,, master, , , , dd invites,subscribed, , , , \r, , \0, ff dd \n invites, subscribed, , , , , alumni spring 2012 deck: https: www.dropbox.com s, \n i69rpofhfsp9t7c practice 20ignition - 20june \t\n .2134.pdf 2109 \n\n\n\nklkjsdf\""
print(f"Here is the text as formatted:\n{text}\n")
print()
print("Trimming both the whitespaces and the non-word characters that follow them.")
print()
trim_ws_punctn = re.compile(r'[\s_]+?\W+')
clean_text = trim_ws_punctn.sub(' ', text)
print(clean_text)
print()
print("what about 'strip()'?")
print(f"Here is the text, formatted as is:\n{text}\n")
clean_text = text.strip(' \n\t\r') # strip out whitespace?
print()
print(f"Here is the text, formatted as is:\n{clean_text}\n")
print()
print("Are 'text' and 'clean_text' unchanged?")
print(clean_text == text)
This outputs:
Here is the text as formatted:
"portfolio, derp, hello-world, hello-, -world, founders, mentors, :, ?, %, ,>, , ffib, biff, 1, 12.18.02, 12, 2013, 9874890288, .., ..., ...., , ff, series a, exit, general mailing, fr, , , ,, co founder, pitch_at_palace, ba, _slkdjfl_bf, sdf_jlk, )_(, [email protected], ,dd invites,subscribed,, master, , , , dd invites,subscribed, ,, , , ff dd
invites, subscribed, , , , , alumni spring 2012 deck: https: www.dropbox.com s,
i69rpofhfsp9t7c practice 20ignition - 20june
.2134.pdf 2109
klkjsdf"
using regex to trim both the whitespaces and the non-word characters that follow them.
"portfolio, derp, hello-world, hello-, world, founders, mentors, ffib, biff, 1, 12.18.02, 12, 2013, 9874890288, ff, series a, exit, general mailing, fr, co founder, pitch_at_palace, ba, _slkdjfl_bf, sdf_jlk, [email protected], dd invites,subscribed,, master, dd invites,subscribed, ff dd invites, subscribed, alumni spring 2012 deck: https: www.dropbox.com s, i69rpofhfsp9t7c practice 20ignition 20june 2134.pdf 2109 klkjsdf"
Very nice.
What about 'strip()'?
Here is the text, formatted as is:
"portfolio, derp, hello-world, hello-, -world, founders, mentors, :, ?, %, ,>, , ffib, biff, 1, 12.18.02, 12, 2013, 9874890288, .., ..., ...., , ff, series a, exit, general mailing, fr, , , ,, co founder, pitch_at_palace, ba, _slkdjfl_bf, sdf_jlk, )_(, [email protected], ,dd invites,subscribed,, master, , , , dd invites,subscribed, ,, , , ff dd
invites, subscribed, , , , , alumni spring 2012 deck: https: www.dropbox.com s,
i69rpofhfsp9t7c practice 20ignition - 20june
.2134.pdf 2109
klkjsdf"
Here is the text, after stipping with 'strip':
"portfolio, derp, hello-world, hello-, -world, founders, mentors, :, ?, %, ,>, , ffib, biff, 1, 12.18.02, 12, 2013, 9874890288, .., ..., ...., , ff, series a, exit, general mailing, fr, , , ,, co founder, pitch_at_palace, ba, _slkdjfl_bf, sdf_jlk, )_(, [email protected], ,dd invites,subscribed,, master, , , , dd invites,subscribed, ,, , , ff dd
invites, subscribed, , , , , alumni spring 2012 deck: https: www.dropbox.com s,
i69rpofhfsp9t7c practice 20ignition - 20june
.2134.pdf 2109
klkjsdf"
Are 'text' and 'clean_text' unchanged? 'True'
So strip removes one whitespace from at a time. So in the OPs case, strip()
is fine. but if things get any more complex, regex and a similar pattern may be of some value for more general settings.
try translate
>>> import string
>>> print '\t\r\n hello \r\n world \t\r\n'
hello
world
>>> tr = string.maketrans(string.whitespace, ' '*len(string.whitespace))
>>> '\t\r\n hello \r\n world \t\r\n'.translate(tr)
' hello world '
>>> '\t\r\n hello \r\n world \t\r\n'.translate(tr).replace(' ', '')
'helloworld'
If you want to trim the whitespace off just the beginning and end of the string, you can do something like this:
some_string = " Hello, world!\n "
new_string = some_string.strip()
# new_string is now "Hello, world!"
This works a lot like Qt's QString::trimmed() method, in that it removes leading and trailing whitespace, while leaving internal whitespace alone.
But if you'd like something like Qt's QString::simplified() method which not only removes leading and trailing whitespace, but also "squishes" all consecutive internal whitespace to one space character, you can use a combination of .split()
and " ".join
, like this:
some_string = "\t Hello, \n\t world!\n "
new_string = " ".join(some_string.split())
# new_string is now "Hello, world!"
In this last example, each sequence of internal whitespace replaced with a single space, while still trimming the whitespace off the start and end of the string.
Generally, I am using the following method:
>>> myStr = "Hi\n Stack Over \r flow!"
>>> charList = [u"\u005Cn",u"\u005Cr",u"\u005Ct"]
>>> import re
>>> for i in charList:
myStr = re.sub(i, r"", myStr)
>>> myStr
'Hi Stack Over flow'
Note: This is only for removing "\n", "\r" and "\t" only. It does not remove extra spaces.
string.whitespace
. – John Fouhy