[regex] Regular expression to match numbers with or without commas and decimals in text

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.

This question is related to regex

The answer is


\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


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.


(,*[\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

\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.


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:

  1. 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!

  2. A is (\d) and matches exactly one of 0,1,2,3,4,5,6,7,8,9 which can't be simpler!

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

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', '', '', '', '')

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


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


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