I'm trying to locate and replace all numbers in a body of text. I've found a few example regex's, which almost solve the problem, but none are perfect yet. The problem I have is that the numbers in my text may or may not have decimals and commas. For example:
"The 5000 lb. fox jumped over a 99,999.99998713 foot fence."
The regex should return "5000" and "99,999.99998713". Examples I've found break-up the numbers on the comma or are limited to two decimal places. I'm starting to understand regex's enough to see why some examples are limited to two decimal places, but I haven't yet learned how to overcome it and also include the comma to get the entire sequence.
Here is my latest version:
[0-9]+(\.[0-9][0-9]?)?
Which returns, "5000", "99,99", "9.99", and "998713" for the above text.
EDIT: Since this has gotten a lot of views, let me start by giving everybody what they Googled for:
#ALL THESE REQUIRE THE WHOLE STRING TO BE A NUMBER
#For numbers embedded in sentences, see discussion below
#### NUMBERS AND DECIMALS ONLY ####
#No commas allowed
#Pass: (1000.0), (001), (.001)
#Fail: (1,000.0)
^\d*\.?\d+$
#No commas allowed
#Can't start with "."
#Pass: (0.01)
#Fail: (.01)
^(\d+\.)?\d+$
#### CURRENCY ####
#No commas allowed
#"$" optional
#Can't start with "."
#Either 0 or 2 decimal digits
#Pass: ($1000), (1.00), ($0.11)
#Fail: ($1.0), (1.), ($1.000), ($.11)
^\$?\d+(\.\d{2})?$
#### COMMA-GROUPED ####
#Commas required between powers of 1,000
#Can't start with "."
#Pass: (1,000,000), (0.001)
#Fail: (1000000), (1,00,00,00), (.001)
^\d{1,3}(,\d{3})*(\.\d+)?$
#Commas required
#Cannot be empty
#Pass: (1,000.100), (.001)
#Fail: (1000), ()
^(?=.)(\d{1,3}(,\d{3})*)?(\.\d+)?$
#Commas optional as long as they're consistent
#Can't start with "."
#Pass: (1,000,000), (1000000)
#Fail: (10000,000), (1,00,00)
^(\d+|\d{1,3}(,\d{3})*)(\.\d+)?$
#### LEADING AND TRAILING ZEROES ####
#No commas allowed
#Can't start with "."
#No leading zeroes in integer part
#Pass: (1.00), (0.00)
#Fail: (001)
^([1-9]\d*|0)(\.\d+)?$
#No commas allowed
#Can't start with "."
#No trailing zeroes in decimal part
#Pass: (1), (0.1)
#Fail: (1.00), (0.1000)
^\d+(\.\d*[1-9])?$
Now that that's out of the way, most of the following is meant as commentary on how complex regex can get if you try to be clever with it, and why you should seek alternatives. Read at your own risk.
This is a very common task, but all the answers I see here so far will accept inputs that don't match your number format, such as ,111, 9,9,9, or even .,,.. That's simple enough to fix, even if the numbers are embedded in other text. IMHO anything that fails to pull 1,234.56 and 1234—and only those numbers—out of abc22 1,234.56 9.9.9.9 def 1234 is a wrong answer.
First of all, if you don't need to do this all in one regex, don't. A single regex for two different number formats is hard to maintain even when they aren't embedded in other text. What you should really do is split the whole thing on whitespace, then run two or three smaller regexes on the results. If that's not an option for you, keep reading.
Basic pattern
Considering the examples you've given, here's a simple regex that allows pretty much any integer or decimal in 0000 format and blocks everything else:
^\d*\.?\d+$
Here's one that requires 0,000 format:
^\d{1,3}(,\d{3})*(\.\d+)?$
Put them together, and commas become optional as long as they're consistent:
^(\d*\.?\d+|\d{1,3}(,\d{3})*(\.\d+)?)$
Embedded numbers
The patterns above require the entire input to be a number. You're looking for numbers embedded in text, so you have to loosen that part. On the other hand, you don't want it to see catch22 and think it's found the number 22. If you're using something with lookbehind support (like C#, .NET 4.0+), this is pretty easy: replace ^ with (?<!\S) and $ with (?!\S) and you're good to go:
(?<!\S)(\d*\.?\d+|\d{1,3}(,\d{3})*(\.\d+)?)(?!\S)
If you're working with JavaScript or Ruby or something, things start looking more complex:
(?:^|\s)(\d*\.?\d+|\d{1,3}(?:,\d{3})*(?:\.\d+)?)(?!\S)
You'll have to use capture groups; I can't think of an alternative without lookbehind support. The numbers you want will be in Group 1 (assuming the whole match is Group 0).
Validation and more complex rules
I think that covers your question, so if that's all you need, stop reading now. If you want to get fancier, things turn very complex very quickly. Depending on your situation, you may want to block any or all of the following:
Empty input
Leading zeroes (e.g. 000123)
Trailing zeroes (e.g. 1.2340000)
Decimals starting with the decimal point (e.g. .001 as opposed to 0.001)
Just for the hell of it, let's assume you want to block the first 3, but allow the last one. What should you do? I'll tell you what you should do, you should use a different regex for each rule and progressively narrow down your matches. But for the sake of the challenge, here's how you do it all in one giant pattern:
(?<!\S)(?=.)(0|([1-9](\d*|\d{0,2}(,\d{3})*)))?(\.\d*[1-9])?(?!\S)
And here's what it means:
(?<!\S) to (?!\S) #The whole match must be surrounded by either whitespace or line boundaries. So if you see something bogus like :;:9.:, ignore the 9.
(?=.) #The whole thing can't be blank.
( #Rules for the integer part:
0 #1. The integer part could just be 0...
| #
[1-9] # ...otherwise, it can't have leading zeroes.
( #
\d* #2. It could use no commas at all...
| #
\d{0,2}(,\d{3})* # ...or it could be comma-separated groups of 3 digits each.
) #
)? #3. Or there could be no integer part at all.
( #Rules for the decimal part:
\. #1. It must start with a decimal point...
\d* #2. ...followed by a string of numeric digits only.
[1-9] #3. It can't be just the decimal point, and it can't end in 0.
)? #4. The whole decimal part is also optional. Remember, we checked at the beginning to make sure the whole thing wasn't blank.
Tested here: http://rextester.com/YPG96786
This will allow things like:
100,000
999.999
90.0009
1,000,023.999
0.111
.111
0
It will block things like:
1,1,1.111
000,001.111
999.
0.
111.110000
1.1.1.111
9.909,888
There are several ways to make this regex simpler and shorter, but understand that changing the pattern will loosen what it considers a number.
Since many regex engines (e.g. JavaScript and Ruby) don't support the negative lookbehind, the only way to do this correctly is with capture groups:
(?:^|\s)(?=.)((?:0|(?:[1-9](?:\d*|\d{0,2}(?:,\d{3})*)))?(?:\.\d*[1-9])?)(?!\S)
The numbers you're looking for will be in capture group 1.
Tested here: http://rubular.com/r/3HCSkndzhT
One final note
Obviously, this is a massive, complicated, nigh-unreadable regex. I enjoyed the challenge, but you should consider whether you really want to use this in a production environment. Instead of trying to do everything in one step, you could do it in two: a regex to catch anything that might be a number, then another one to weed out whatever isn't a number. Or you could do some basic processing, then use your language's built-in number parsing functions. Your choice.
The regex below will match both numbers from your example.
\b\d[\d,.]*\b
It will return 5000 and 99,999.99998713 - matching your requirements.
Some days ago, I worked on the problem of removing trailing zeros from the string of a number.
In the continuity of that problem, I find this one interesting because it widens the problem to numbers comprising commas.
I have taken the regex's pattern I had writen in that previous problem I worked on and I improved it in order that it can treat the numbers with commas as an answer for this problem.
I've been carried away with my enthusiasm and my liking of regexes. I don't know if the result fits exactly to the need expressed by Michael Prescott. I would be interested to know the points that are in excess or in lack in my regex, and to correct it to make it more suitable for you.
Now, after a long session of work on this regex, I have a sort of weight in the brain, so I'm not fresh enough to give a lot of explanation. If points are obscure, and if anybody may come to be interested enough, please, ask me.
The regex is built in order that it can detect the numbers expressed in scientific notation 2E10 or even 5,22,454.12E-00.0478 , removing unnecessary zeros in the two parts of such numbers too. If an exponent is equal to zero , the number is modified so that there is no more exponent.
I put some verification in the pattern so that some particular cases will not match, for exemple '12..57' won't match. But in ',111' the string '111' matches because the preceding comma is considered a comma not being in a number but a comma of sentence.
I think that the managing of commas should be improved, because it seems to me that there are only 2 digits between commas in Indian numbering. It won't be dificult to correct, I presume
Here after is a code demonstrating how my regex works. There are two functions, according if one wants the numbers '.1245' to be transformed in '0.1245' or not. I wouldn't be surprised if errors or unwanted matchings or unmatchings will remain for certain cases of number strings; then I'd like to know these cases to understand and correct the deficiency.
I apologize for this code written in Python, but regexes are trans-langage and I think everybody will be capable of undertsanding the reex's pattern
import re
regx = re.compile('(?<![\d.])(?!\.\.)(?<![\d.][eE][+-])(?<![\d.][eE])(?<!\d[.,])'
'' #---------------------------------
'([+-]?)'
'(?![\d,]*?\.[\d,]*?\.[\d,]*?)'
'(?:0|,(?=0)|(?<!\d),)*'
'(?:'
'((?:\d(?!\.[1-9])|,(?=\d))+)[.,]?'
'|\.(0)'
'|((?<!\.)\.\d+?)'
'|([\d,]+\.\d+?))'
'0*'
'' #---------------------------------
'(?:'
'([eE][+-]?)(?:0|,(?=0))*'
'(?:'
'(?!0+(?=\D|\Z))((?:\d(?!\.[1-9])|,(?=\d))+)[.,]?'
'|((?<!\.)\.(?!0+(?=\D|\Z))\d+?)'
'|([\d,]+\.(?!0+(?=\D|\Z))\d+?))'
'0*'
')?'
'' #---------------------------------
'(?![.,]?\d)')
def dzs_numbs(x,regx = regx): # ds = detect and zeros-shave
if not regx.findall(x):
yield ('No match,', 'No catched string,', 'No groups.')
for mat in regx.finditer(x):
yield (mat.group(), ''.join(mat.groups('')), mat.groups(''))
def dzs_numbs2(x,regx = regx): # ds = detect and zeros-shave
if not regx.findall(x):
yield ('No match,', 'No catched string,', 'No groups.')
for mat in regx.finditer(x):
yield (mat.group(),
''.join(('0' if n.startswith('.') else '')+n for n in mat.groups('')),
mat.groups(''))
NS = [' 23456000and23456000. or23456000.000 00023456000 s000023456000. 000023456000.000 ',
'arf 10000 sea10000.+10000.000 00010000-00010000. kant00010000.000 ',
' 24: 24, 24. 24.000 24.000, 00024r 00024. blue 00024.000 ',
' 8zoom8. 8.000 0008 0008. and0008.000 ',
' 0 00000M0. = 000. 0.0 0.000 000.0 000.000 .000000 .0 ',
' .0000023456 .0000023456000 '
' .0005872 .0005872000 .00503 .00503000 ',
' .068 .0680000 .8 .8000 .123456123456 .123456123456000 ',
' .657 .657000 .45 .4500000 .7 .70000 0.0000023230000 000.0000023230000 ',
' 0.0081000 0000.0081000 0.059000 0000.059000 ',
' 0.78987400000 snow 00000.78987400000 0.4400000 00000.4400000 ',
' -0.5000 -0000.5000 0.90 000.90 0.7 000.7 ',
' 2.6 00002.6 00002.60000 4.71 0004.71 0004.7100 ',
' 23.49 00023.49 00023.490000 103.45 0000103.45 0000103.45000 ',
' 10003.45067 000010003.45067 000010003.4506700 ',
' +15000.0012 +000015000.0012 +000015000.0012000 ',
' 78000.89 000078000.89 000078000.89000 ',
' .0457e10 .0457000e10 00000.0457000e10 ',
' 258e8 2580000e4 0000000002580000e4 ',
' 0.782e10 0000.782e10 0000.7820000e10 ',
' 1.23E2 0001.23E2 0001.2300000E2 ',
' 432e-102 0000432e-102 004320000e-106 ',
' 1.46e10and0001.46e10 0001.4600000e10 ',
' 1.077e-300 0001.077e-300 0001.077000e-300 ',
' 1.069e10 0001.069e10 0001.069000e10 ',
' 105040.03e10 000105040.03e10 105040.0300e10 ',
' +286E000024.487900 -78.4500e.14500 .0140E789. ',
' 081,12.40E07,95.0120 0045,78,123.03500e-0.00 ',
' 0096,78,473.0380e-0. 0008,78,373.066000E0. 0004512300.E0000 ',
' ..18000 25..00 36...77 2..8 ',
' 3.8..9 .12500. 12.51.400 ',
' 00099,111.8713000 -0012,45,83,987.26+0.000,099,88,44.or00,00,00.00must',
' 00099,44,and 0000,099,88,44.bom',
'00,000,00.587000 77,98,23,45., this,that ',
' ,111 145.20 +9,9,9 0012800 .,,. 1 100,000 ',
'1,1,1.111 000,001.111 -999. 0. 111.110000 1.1.1.111 9.909,888']
for ch in NS:
print 'string: '+repr(ch)
for strmatch, modified, the_groups in dzs_numbs2(ch):
print strmatch.rjust(20),'',modified,'',the_groups
print
result
string: ' 23456000and23456000. or23456000.000 00023456000 s000023456000. 000023456000.000 '
23456000 23456000 ('', '23456000', '', '', '', '', '', '', '')
23456000. 23456000 ('', '23456000', '', '', '', '', '', '', '')
23456000.000 23456000 ('', '23456000', '', '', '', '', '', '', '')
00023456000 23456000 ('', '23456000', '', '', '', '', '', '', '')
000023456000. 23456000 ('', '23456000', '', '', '', '', '', '', '')
000023456000.000 23456000 ('', '23456000', '', '', '', '', '', '', '')
string: 'arf 10000 sea10000.+10000.000 00010000-00010000. kant00010000.000 '
10000 10000 ('', '10000', '', '', '', '', '', '', '')
10000. 10000 ('', '10000', '', '', '', '', '', '', '')
10000.000 10000 ('', '10000', '', '', '', '', '', '', '')
00010000 10000 ('', '10000', '', '', '', '', '', '', '')
00010000. 10000 ('', '10000', '', '', '', '', '', '', '')
00010000.000 10000 ('', '10000', '', '', '', '', '', '', '')
string: ' 24: 24, 24. 24.000 24.000, 00024r 00024. blue 00024.000 '
24 24 ('', '24', '', '', '', '', '', '', '')
24, 24 ('', '24', '', '', '', '', '', '', '')
24. 24 ('', '24', '', '', '', '', '', '', '')
24.000 24 ('', '24', '', '', '', '', '', '', '')
24.000 24 ('', '24', '', '', '', '', '', '', '')
00024 24 ('', '24', '', '', '', '', '', '', '')
00024. 24 ('', '24', '', '', '', '', '', '', '')
00024.000 24 ('', '24', '', '', '', '', '', '', '')
string: ' 8zoom8. 8.000 0008 0008. and0008.000 '
8 8 ('', '8', '', '', '', '', '', '', '')
8. 8 ('', '8', '', '', '', '', '', '', '')
8.000 8 ('', '8', '', '', '', '', '', '', '')
0008 8 ('', '8', '', '', '', '', '', '', '')
0008. 8 ('', '8', '', '', '', '', '', '', '')
0008.000 8 ('', '8', '', '', '', '', '', '', '')
string: ' 0 00000M0. = 000. 0.0 0.000 000.0 000.000 .000000 .0 '
0 0 ('', '0', '', '', '', '', '', '', '')
00000 0 ('', '0', '', '', '', '', '', '', '')
0. 0 ('', '0', '', '', '', '', '', '', '')
000. 0 ('', '0', '', '', '', '', '', '', '')
0.0 0 ('', '', '0', '', '', '', '', '', '')
0.000 0 ('', '', '0', '', '', '', '', '', '')
000.0 0 ('', '', '0', '', '', '', '', '', '')
000.000 0 ('', '', '0', '', '', '', '', '', '')
.000000 0 ('', '', '0', '', '', '', '', '', '')
.0 0 ('', '', '0', '', '', '', '', '', '')
string: ' .0000023456 .0000023456000 .0005872 .0005872000 .00503 .00503000 '
.0000023456 0.0000023456 ('', '', '', '.0000023456', '', '', '', '', '')
.0000023456000 0.0000023456 ('', '', '', '.0000023456', '', '', '', '', '')
.0005872 0.0005872 ('', '', '', '.0005872', '', '', '', '', '')
.0005872000 0.0005872 ('', '', '', '.0005872', '', '', '', '', '')
.00503 0.00503 ('', '', '', '.00503', '', '', '', '', '')
.00503000 0.00503 ('', '', '', '.00503', '', '', '', '', '')
string: ' .068 .0680000 .8 .8000 .123456123456 .123456123456000 '
.068 0.068 ('', '', '', '.068', '', '', '', '', '')
.0680000 0.068 ('', '', '', '.068', '', '', '', '', '')
.8 0.8 ('', '', '', '.8', '', '', '', '', '')
.8000 0.8 ('', '', '', '.8', '', '', '', '', '')
.123456123456 0.123456123456 ('', '', '', '.123456123456', '', '', '', '', '')
.123456123456000 0.123456123456 ('', '', '', '.123456123456', '', '', '', '', '')
string: ' .657 .657000 .45 .4500000 .7 .70000 0.0000023230000 000.0000023230000 '
.657 0.657 ('', '', '', '.657', '', '', '', '', '')
.657000 0.657 ('', '', '', '.657', '', '', '', '', '')
.45 0.45 ('', '', '', '.45', '', '', '', '', '')
.4500000 0.45 ('', '', '', '.45', '', '', '', '', '')
.7 0.7 ('', '', '', '.7', '', '', '', '', '')
.70000 0.7 ('', '', '', '.7', '', '', '', '', '')
0.0000023230000 0.000002323 ('', '', '', '.000002323', '', '', '', '', '')
000.0000023230000 0.000002323 ('', '', '', '.000002323', '', '', '', '', '')
string: ' 0.0081000 0000.0081000 0.059000 0000.059000 '
0.0081000 0.0081 ('', '', '', '.0081', '', '', '', '', '')
0000.0081000 0.0081 ('', '', '', '.0081', '', '', '', '', '')
0.059000 0.059 ('', '', '', '.059', '', '', '', '', '')
0000.059000 0.059 ('', '', '', '.059', '', '', '', '', '')
string: ' 0.78987400000 snow 00000.78987400000 0.4400000 00000.4400000 '
0.78987400000 0.789874 ('', '', '', '.789874', '', '', '', '', '')
00000.78987400000 0.789874 ('', '', '', '.789874', '', '', '', '', '')
0.4400000 0.44 ('', '', '', '.44', '', '', '', '', '')
00000.4400000 0.44 ('', '', '', '.44', '', '', '', '', '')
string: ' -0.5000 -0000.5000 0.90 000.90 0.7 000.7 '
-0.5000 -0.5 ('-', '', '', '.5', '', '', '', '', '')
-0000.5000 -0.5 ('-', '', '', '.5', '', '', '', '', '')
0.90 0.9 ('', '', '', '.9', '', '', '', '', '')
000.90 0.9 ('', '', '', '.9', '', '', '', '', '')
0.7 0.7 ('', '', '', '.7', '', '', '', '', '')
000.7 0.7 ('', '', '', '.7', '', '', '', '', '')
string: ' 2.6 00002.6 00002.60000 4.71 0004.71 0004.7100 '
2.6 2.6 ('', '', '', '', '2.6', '', '', '', '')
00002.6 2.6 ('', '', '', '', '2.6', '', '', '', '')
00002.60000 2.6 ('', '', '', '', '2.6', '', '', '', '')
4.71 4.71 ('', '', '', '', '4.71', '', '', '', '')
0004.71 4.71 ('', '', '', '', '4.71', '', '', '', '')
0004.7100 4.71 ('', '', '', '', '4.71', '', '', '', '')
string: ' 23.49 00023.49 00023.490000 103.45 0000103.45 0000103.45000 '
23.49 23.49 ('', '', '', '', '23.49', '', '', '', '')
00023.49 23.49 ('', '', '', '', '23.49', '', '', '', '')
00023.490000 23.49 ('', '', '', '', '23.49', '', '', '', '')
103.45 103.45 ('', '', '', '', '103.45', '', '', '', '')
0000103.45 103.45 ('', '', '', '', '103.45', '', '', '', '')
0000103.45000 103.45 ('', '', '', '', '103.45', '', '', '', '')
string: ' 10003.45067 000010003.45067 000010003.4506700 '
10003.45067 10003.45067 ('', '', '', '', '10003.45067', '', '', '', '')
000010003.45067 10003.45067 ('', '', '', '', '10003.45067', '', '', '', '')
000010003.4506700 10003.45067 ('', '', '', '', '10003.45067', '', '', '', '')
string: ' +15000.0012 +000015000.0012 +000015000.0012000 '
+15000.0012 +15000.0012 ('+', '', '', '', '15000.0012', '', '', '', '')
+000015000.0012 +15000.0012 ('+', '', '', '', '15000.0012', '', '', '', '')
+000015000.0012000 +15000.0012 ('+', '', '', '', '15000.0012', '', '', '', '')
string: ' 78000.89 000078000.89 000078000.89000 '
78000.89 78000.89 ('', '', '', '', '78000.89', '', '', '', '')
000078000.89 78000.89 ('', '', '', '', '78000.89', '', '', '', '')
000078000.89000 78000.89 ('', '', '', '', '78000.89', '', '', '', '')
string: ' .0457e10 .0457000e10 00000.0457000e10 '
.0457e10 0.0457e10 ('', '', '', '.0457', '', 'e', '10', '', '')
.0457000e10 0.0457e10 ('', '', '', '.0457', '', 'e', '10', '', '')
00000.0457000e10 0.0457e10 ('', '', '', '.0457', '', 'e', '10', '', '')
string: ' 258e8 2580000e4 0000000002580000e4 '
258e8 258e8 ('', '258', '', '', '', 'e', '8', '', '')
2580000e4 2580000e4 ('', '2580000', '', '', '', 'e', '4', '', '')
0000000002580000e4 2580000e4 ('', '2580000', '', '', '', 'e', '4', '', '')
string: ' 0.782e10 0000.782e10 0000.7820000e10 '
0.782e10 0.782e10 ('', '', '', '.782', '', 'e', '10', '', '')
0000.782e10 0.782e10 ('', '', '', '.782', '', 'e', '10', '', '')
0000.7820000e10 0.782e10 ('', '', '', '.782', '', 'e', '10', '', '')
string: ' 1.23E2 0001.23E2 0001.2300000E2 '
1.23E2 1.23E2 ('', '', '', '', '1.23', 'E', '2', '', '')
0001.23E2 1.23E2 ('', '', '', '', '1.23', 'E', '2', '', '')
0001.2300000E2 1.23E2 ('', '', '', '', '1.23', 'E', '2', '', '')
string: ' 432e-102 0000432e-102 004320000e-106 '
432e-102 432e-102 ('', '432', '', '', '', 'e-', '102', '', '')
0000432e-102 432e-102 ('', '432', '', '', '', 'e-', '102', '', '')
004320000e-106 4320000e-106 ('', '4320000', '', '', '', 'e-', '106', '', '')
string: ' 1.46e10and0001.46e10 0001.4600000e10 '
1.46e10 1.46e10 ('', '', '', '', '1.46', 'e', '10', '', '')
0001.46e10 1.46e10 ('', '', '', '', '1.46', 'e', '10', '', '')
0001.4600000e10 1.46e10 ('', '', '', '', '1.46', 'e', '10', '', '')
string: ' 1.077e-300 0001.077e-300 0001.077000e-300 '
1.077e-300 1.077e-300 ('', '', '', '', '1.077', 'e-', '300', '', '')
0001.077e-300 1.077e-300 ('', '', '', '', '1.077', 'e-', '300', '', '')
0001.077000e-300 1.077e-300 ('', '', '', '', '1.077', 'e-', '300', '', '')
string: ' 1.069e10 0001.069e10 0001.069000e10 '
1.069e10 1.069e10 ('', '', '', '', '1.069', 'e', '10', '', '')
0001.069e10 1.069e10 ('', '', '', '', '1.069', 'e', '10', '', '')
0001.069000e10 1.069e10 ('', '', '', '', '1.069', 'e', '10', '', '')
string: ' 105040.03e10 000105040.03e10 105040.0300e10 '
105040.03e10 105040.03e10 ('', '', '', '', '105040.03', 'e', '10', '', '')
000105040.03e10 105040.03e10 ('', '', '', '', '105040.03', 'e', '10', '', '')
105040.0300e10 105040.03e10 ('', '', '', '', '105040.03', 'e', '10', '', '')
string: ' +286E000024.487900 -78.4500e.14500 .0140E789. '
+286E000024.487900 +286E24.4879 ('+', '286', '', '', '', 'E', '', '', '24.4879')
-78.4500e.14500 -78.45e0.145 ('-', '', '', '', '78.45', 'e', '', '.145', '')
.0140E789. 0.014E789 ('', '', '', '.014', '', 'E', '789', '', '')
string: ' 081,12.40E07,95.0120 0045,78,123.03500e-0.00 '
081,12.40E07,95.0120 81,12.4E7,95.012 ('', '', '', '', '81,12.4', 'E', '', '', '7,95.012')
0045,78,123.03500 45,78,123.035 ('', '', '', '', '45,78,123.035', '', '', '', '')
string: ' 0096,78,473.0380e-0. 0008,78,373.066000E0. 0004512300.E0000 '
0096,78,473.0380 96,78,473.038 ('', '', '', '', '96,78,473.038', '', '', '', '')
0008,78,373.066000 8,78,373.066 ('', '', '', '', '8,78,373.066', '', '', '', '')
0004512300. 4512300 ('', '4512300', '', '', '', '', '', '', '')
string: ' ..18000 25..00 36...77 2..8 '
No match, No catched string, No groups.
string: ' 3.8..9 .12500. 12.51.400 '
No match, No catched string, No groups.
string: ' 00099,111.8713000 -0012,45,83,987.26+0.000,099,88,44.or00,00,00.00must'
00099,111.8713000 99,111.8713 ('', '', '', '', '99,111.8713', '', '', '', '')
-0012,45,83,987.26 -12,45,83,987.26 ('-', '', '', '', '12,45,83,987.26', '', '', '', '')
00,00,00.00 0 ('', '', '0', '', '', '', '', '', '')
string: ' 00099,44,and 0000,099,88,44.bom'
00099,44, 99,44 ('', '99,44', '', '', '', '', '', '', '')
0000,099,88,44. 99,88,44 ('', '99,88,44', '', '', '', '', '', '', '')
string: '00,000,00.587000 77,98,23,45., this,that '
00,000,00.587000 0.587 ('', '', '', '.587', '', '', '', '', '')
77,98,23,45. 77,98,23,45 ('', '77,98,23,45', '', '', '', '', '', '', '')
string: ' ,111 145.20 +9,9,9 0012800 .,,. 1 100,000 '
,111 111 ('', '111', '', '', '', '', '', '', '')
145.20 145.2 ('', '', '', '', '145.2', '', '', '', '')
+9,9,9 +9,9,9 ('+', '9,9,9', '', '', '', '', '', '', '')
0012800 12800 ('', '12800', '', '', '', '', '', '', '')
1 1 ('', '1', '', '', '', '', '', '', '')
100,000 100,000 ('', '100,000', '', '', '', '', '', '', '')
string: '1,1,1.111 000,001.111 -999. 0. 111.110000 1.1.1.111 9.909,888'
1,1,1.111 1,1,1.111 ('', '', '', '', '1,1,1.111', '', '', '', '')
000,001.111 1.111 ('', '', '', '', '1.111', '', '', '', '')
-999. -999 ('-', '999', '', '', '', '', '', '', '')
0. 0 ('', '0', '', '', '', '', '', '', '')
111.110000 111.11 ('', '', '', '', '111.11', '', '', '', '')
\d+(,\d+)*(\.\d+)?
This assumes that there is always at least one digit before or after any comma or decimal and also assumes that there is at most one decimal and that all the commas precede the decimal.
Taking a certain liberty with the requirements, you're looking for
\d+([\d,]?\d)*(\.\d+)?
But notice this will match e.g. 11,11,1
This regex:
(\d{1,3},\d{3}(,\d{3})*)(\.\d*)?|\d+\.?\d*
Matched every number in the string:
1 1.0 0.1 1.001 1,000 1,000,000 1000.1 1,000.1 1,323,444,000 1,999 1,222,455,666.0 1,244
Here's a regex:
(?:\d+)((\d{1,3})*([\,\ ]\d{3})*)(\.\d+)?
that accepts numbers:
without spaces and/or decimals, eg. 123456789, 123.123
with commas or spaces as thousands separator and/or decimals, eg. 123 456 789, 123 456 789.100, 123,456, 3,232,300,000.00
Tests: http://regexr.com/3h1a2
(,*[\d]+,*[\d]*)+
This would match any small or large number as following with or without comma
1
100
1,262
1,56,262
10,78,999
12,34,56,789
or
1
100
1262
156262
1078999
123456789
Here is another construction which starts with the simplest number format and then, in a non-overlapping way, progressively adds more complex number formats:
Java regep:
(\d)|([1-9]\d+)|(\.\d+)|(\d\.\d*)|([1-9]\d+\.\d*)|([1-9]\d{0,2}(,\d{3})+(\.\d*)?)
As a Java String (note the extra \ needed to escape to \ and . since \ and . have special meaning in a regexp when on their own):
String myregexp="(\\d)|([1-9]\\d+)|(\\.\\d+)|(\\d\\.\\d*)|([1-9]\\d+\\.\\d*)|([1-9]\\d{0,2}(,\\d{3})+(\\.\\d*)?)";
Explanation:
This regexp has the form A|B|C|D|E|F where A,B,C,D,E,F are themselves regexps that do not overlap. Generally, I find it easier to start with the simplest possible matches, A.
If A misses matches you want, then create a B that is a minor modification of A and includes a bit more of what you want. Then, based on B, create a C that catches more, etc. I also find it easier to create regexps that don't overlap; it is easier to understand a regexp with 20 simple non-overlapping regexps connected with ORs rather than a few regexps with more complex matching. But, each to their own!
A is (\d) and matches exactly one of 0,1,2,3,4,5,6,7,8,9 which can't be simpler!
B is ([1-9]\d+) and only matches numbers with 2 or more digits, the first excluding 0 . B matches exactly one of 10,11,12,... B does not overlap A but is a small modification of A.
C is (.\d+) and only matches a decimal followed by one or more digits. C matches exactly one of .0 .1 .2 .3 .4 .5 .6 .7 .8 .9 .00 .01 .02 ... . .23000 ... C allows trailing eros on the right which I prefer: if this is measurement data, the number of trailing zeros indicates the level of precision. If you don't want the trailing zeros on the right, change (.\d+) to (.\d*[1-9]) but this also excludes .0 which I think should be allowed. C is also a small modification of A.
D is (\d.\d*) which is A plus decimals with trailing zeros on the right. D only matches a single digit, followed by a decimal, followed by zero or more digits. D matches 0. 0.0 0.1 0.2 ....0.01000...9. 9.0 9.1..0.0230000 .... 9.9999999999... If you want to exclude "0." then change D to (\d.\d+). If you want to exclude trailing zeros on the right, change D to (\d.\d*[1-9]) but this excludes 2.0 which I think should be included. D does not overlap A,B,or C.
E is ([1-9]\d+.\d*) which is B plus decimals with trailing zeros on the right. If you want to exclude "13.", for example, then change E to ([1-9]\d+.\d+). E does not overlap A,B,C or D. E matches 10. 10.0 10.0100 .... 99.9999999999... Trailing zeros can be handled as in 4. and 5.
F is ([1-9]\d{0,2}(,\d{3})+(.\d*)?) and only matches numbers with commas and possibly decimals allowing trailing zeros on the right. The first group ([1-9]\d{0,2}) matches a non-zero digit followed zero, one or two more digits. The second group (,\d{3})+ matches a 4 character group (a comma followed by exactly three digits) and this group can match one or more times (no matches means no commas!). Finally, (.\d*)? matches nothing, or matches . by itself, or matches a decimal . followed by any number of digits, possibly none. Again, to exclude things like "1,111.", change (.\d*) to (.\d+). Trailing zeros can be handled as in 4. or 5. F does not overlap A,B,C,D, or E. I couldn't think of an easier regexp for F.
Let me know if you are interested and I can edit above to handle the trailing zeros on the right as desired.
Here is what matches regexp and what does not:
0
1
02 <- invalid
20
22
003 <- invalid
030 <- invalid
300
033 <- invalid
303
330
333
0004 <- invalid
0040 <- invalid
0400 <- invalid
4000
0044 <- invalid
0404 <- invalid
0440 <- invalid
4004
4040
4400
0444 <- invalid
4044
4404
4440
4444
00005 <- invalid
00050 <- invalid
00500 <- invalid
05000 <- invalid
50000
00055 <- invalid
00505 <- invalid
00550 <- invalid
05050 <- invalid
05500 <- invalid
50500
55000
00555 <- invalid
05055 <- invalid
05505 <- invalid
05550 <- invalid
50550
55050
55500
. <- invalid
.. <- invalid
.0
0.
.1
1.
.00
0.0
00. <- invalid
.02
0.2
02. <- invalid
.20
2.0
20.
.22
2.2
22.
.000
0.00
00.0 <- invalid
000. <- invalid
.003
0.03
00.3 <- invalid
003. <- invalid
.030
0.30
03.0 <- invalid
030. <- invalid
.033
0.33
03.3 <- invalid
033. <- invalid
.303
3.03
30.3
303.
.333
3.33
33.3
333.
.0000
0.000
00.00 <- invalid
000.0 <- invalid
0000. <- invalid
.0004
0.0004
00.04 <- invalid
000.4 <- invalid
0004. <- invalid
.0044
0.044
00.44 <- invalid
004.4 <- invalid
0044. <- invalid
.0404
0.404
04.04 <- invalid
040.4 <- invalid
0404. <- invalid
.0444
0.444
04.44 <- invalid
044.4 <- invalid
0444. <- invalid
.4444
4.444
44.44
444.4
4444.
.00000
0.0000
00.000 <- invalid
000.00 <- invalid
0000.0 <- invalid
00000. <- invalid
.00005
0.0005
00.005 <- invalid
000.05 <- invalid
0000.5 <- invalid
00005. <- invalid
.00055
0.0055
00.055 <- invalid
000.55 <- invalid
0005.5 <- invalid
00055. <- invalid
.00505
0.0505
00.505 <- invalid
005.05 <- invalid
0050.5 <- invalid
00505. <- invalid
.00550
0.0550
00.550 <- invalid
005.50 <- invalid
0055.0 <- invalid
00550. <- invalid
.05050
0.5050
05.050 <- invalid
050.50 <- invalid
0505.0 <- invalid
05050. <- invalid
.05500
0.5500
05.500 <- invalid
055.00 <- invalid
0550.0 <- invalid
05500. <- invalid
.50500
5.0500
50.500
505.00
5050.0
50500.
.55000
5.5000
55.000
550.00
5500.0
55000.
.00555
0.0555
00.555 <- invalid
005.55 <- invalid
0055.5 <- invalid
00555. <- invalid
.05055
0.5055
05.055 <- invalid
050.55 <- invalid
0505.5 <- invalid
05055. <- invalid
.05505
0.5505
05.505 <- invalid
055.05 <- invalid
0550.5 <- invalid
05505. <- invalid
.05550
0.5550
05.550 <- invalid
055.50 <- invalid
0555.0 <- invalid
05550. <- invalid
.50550
5.0550
50.550
505.50
5055.0
50550.
.55050
5.5050
55.050
550.50
5505.0
55050.
.55500
5.5500
55.500
555.00
5550.0
55500.
.05555
0.5555
05.555 <- invalid
055.55 <- invalid
0555.5 <- invalid
05555. <- invalid
.50555
5.0555
50.555
505.55
5055.5
50555.
.55055
5.5055
55.055
550.55
5505.5
55055.
.55505
5.5505
55.505
555.05
5550.5
55505.
.55550
5.5550
55.550
555.50
5555.0
55550.
.55555
5.5555
55.555
555.55
5555.5
55555.
, <- invalid
,, <- invalid
1, <- invalid
,1 <- invalid
22, <- invalid
2,2 <- invalid
,22 <- invalid
2,2, <- invalid
2,2, <- invalid
,22, <- invalid
333, <- invalid
33,3 <- invalid
3,33 <- invalid
,333 <- invalid
3,33, <- invalid
3,3,3 <- invalid
3,,33 <- invalid
,,333 <- invalid
4444, <- invalid
444,4 <- invalid
44,44 <- invalid
4,444
,4444 <- invalid
55555, <- invalid
5555,5 <- invalid
555,55 <- invalid
55,555
5,5555 <- invalid
,55555 <- invalid
666666, <- invalid
66666,6 <- invalid
6666,66 <- invalid
666,666
66,6666 <- invalid
6,66666 <- invalid
66,66,66 <- invalid
6,66,666 <- invalid
,666,666 <- invalid
1,111.
1,111.11
1,111.110
01,111.110 <- invalid
0,111.100 <- invalid
11,11. <- invalid
1,111,.11 <- invalid
1111.1,10 <- invalid
01111.11,0 <- invalid
0111.100, <- invalid
1,111,111.
1,111,111.11
1,111,111.110
01,111,111.110 <- invalid
0,111,111.100 <- invalid
1,111,111.
1,1111,11.11 <- invalid
11,111,11.110 <- invalid
01,11,1111.110 <- invalid
0,111111.100 <- invalid
0002,22.2230 <- invalid
.,5.,., <- invalid
2.0,345,345 <- invalid
2.334.456 <- invalid
\b\d+,
\b------->word boundary
\d+------>one or digit
,-------->containing commas,
Eg:
sddsgg 70,000 sdsfdsf fdgfdg70,00
sfsfsd 5,44,4343 5.7788,44 555
It will match:
70,
5,
44,
,44
Here is my answer:
(\d+(,?.?))*