I am fairly new to RegEx and have had a search around online but am unable to find a regex that fits my requirements.
The ultimate aim is to search a string of text and extract the lowest monetary amount, however as the string may contain more than one £amount, then i'm happy for a regex to just extract all monetary values it can find and then I can write a calculation in order to return the lowest amount.
The string may have numbers that are not monetary values / numerous amounts, therefore the regex should always look for a £ symbol first OR it could end with a "p" or "P" to signify pence. For example "I need 2 of these at £10 each and one of those at 50p" - should return 10.00 & 0.50 - I can then calculate that 0.50 is the lowest amount.
As people also write their amounts in various ways, I need the regex to be able to spot different patterns - including the "," for every thousand. All below values should be valid:
£0
£0.00
£0.00p
£0000
£0000.00
£0000.00p
£0,000
£0,000.00
£0,000.00p
0p
Hopefully someone may be able to advise the best way to approach this.
Thanks
This works on your data set:
(?=^£|.*p$)£?\d*(?:,\d{3})*(\.\d{2})?p?
But it may improperly match some edge cases as well because everything is optional...
https://regex101.com/r/WptUn6/3
Related
I need a regex pattern for minimum currency, in this instance, so a number under $1000.00 cannot be input into the field. only $1000.00 and up to say $9999.00. This is for a DocuSign Template.
Number 1., The one-time transfer amount from the screenshot must be 1000.00 or higher.
Number 2., The monthly selection must be $100.00 or more.
Here is what I currently have to make them input it in Monetary form. I am struggling with adding the currency thresholds/minimums described above.
^[+-]?[0-9]{1,3}(?:,?[0-9]{3})*\.[0-9]{2}$
I am a novice at best so thank you for any help in advance.
I'm thinking you want something along these lines for 100.00 to 9999.99 you would want a different regex per field.
^[1-9]\d{2,3}\.\d{2}$
https://regex101.com/r/K2SnS7/1
Check that out and play with it. You just need to think in a regex manner, what are the values I can have first, probably not zero. So 1 to 9, with between two and three more numbers. Followed by a decimal and any two numbers. Good luck!
I'm attempting to create a Regex that finds only 2-digit integers or numbers with a precision of 2 decimal points.
In the example string at the bottom, I want to find only the following:
21 and 10.50
Using this expression, 100% is getting captured, in addition to the strings I desire to capture:
(\d){1,2}(\.?)([0-9]?[0-9]?){1,2}
I know I need to use ^% somewhere, but I can't figure out where it goes. Any suggestions are greatly appreciated.
Here's my sample string:
Earn Up to $21 Per Hour - Deliver Food with !!
Delivery Drivers work when they want and make great money when they do.
All orders are prepaid, just pick them up and deliver them to hungry diners. No waiting in line or fumbling with receipts and prepaid cards.
It's fast and easy to start working. Get started today.
Apply Now
Why choose ?
More orders than any other takeout platform
100% of our restaurants are official partners
Competitive pay: Per order fee + mileage + tips
We guarantee an hourly minimum of $10.50/hour*
Create your own schedule & work the hours you want
Word boundaries in your regular expression will grant you a bit more control.
Since word boundaries are a bit strict, we need to introduce an OR condition to address both cases which will satisfy your regex.
(\b[\d]{2}\.[\d]{2}\b)|(\b[\d]{2}\b)
Edit: Try this one,
\b[\d]{2}\b(\.[\d]{2})?
The first example has a chance to fail as it is order dependent due to the way it short-circuits. This I believe should address multiple cases properly.
I think this should work:
(?<!\d)((\d+\.\d\d)|(\d\d))(?!%|\d)
Demo (and explanation)
EDIT:
Improved version:
(?<!\d)(\d{1,2}(?:\.\d{1,2})?)(?!%|\d)
Demo (and explanation)
You can try this variant: (\d{1,}|[\d.])\b(?!%)
It uses negative lookahead (?!%) to exclude digits following by % sign.
Details at regex101
I'm working on a C++ Twitter company sentiment analysis tool. User inputs a company and the tool analyzes a # of tweets and returns a sentiment.
So far I did the following:
limit tweets to English and recent
make lowercase
remove RT, # symbol, #usernames and URLs
remove characters like &^%$(){}... etc
I then parse the tweet into words and check words against two dictionaries of positive and negative words. I create a total sentiment for each tweet. Then I count the number of positive , neutral and negative tweets to come up with a final answer. No weights are used.
I am thinking of implementing the following two things:
remove stop words from tweets
remove special characters and emoticons from tweets (non english Unicode basically)
However, even with this, most of the searches end up being very neutral. For example if I search "Apple" in 100 tweets I get say 30 positives, 10 negatives and 60 neutral.
Questions:
1. Is there any way to lower the neutrals?
2. What kind of positive and negative words should I add to represent my search criteria(Companies)
You say no weighting is used but why not add it. Assign each +/- word a base weight of 1 then maybe apply some of the following conditions:
If they use words like "very", "extremely", etc, weighting the following adjective heavier (or without weighting just count both of them as a +/- word)
Rather than changing everything to lowercase, if there is capslock involved for words weighting those words heavier with a multiplier
Rating words like "fantastic" heavier than words like "good"
I am currently trying to validate UK telephone numbers:
The format I'm looking for is: 01234 567891 or 01234567891 - So I need the number to have 5 numbers then a space then 6 numbers or simply a 11 numbers.
The number must start with a 0.
I've had a look at a couple of examples:
/^[0-9]{10,11} - to check that the chars are all numbers
/^0[0-9]{9,10}$/ - to check that the first number is a 0
I'm just unsure how to put all these together and check if there is a space or not.
Could someone help me with this regex?
Thanks
Try this regex:
/^0\d{4}\s?\d{6}$/
Many people try to do input validation and formatting in a single step.
It is better to separate these processes.
Match UK telephone number in any format
^(?:(?:\(?(?:0(?:0|11)\)?[\s-]?\(?|\+)44\)?[\s-]?(?:\(?0\)?[\s-]?)?)|(?:\(?0))(?:(?:\d{5}\)?[\s-]?\d{4,5})|(?:\d{4}\)?[\s-]?(?:\d{5}|\d{3}[\s-]?\d{3}))|(?:\d{3}\)?[\s-]?\d{3}[\s-]?\d{3,4})|(?:\d{2}\)?[\s-]?\d{4}[\s-]?\d{4}))(?:[\s-]?(?:x|ext\.?|\#)\d{3,4})?$
The above pattern allows the user to enter the number in any format they are comfortable with. Don't constrain the user into entering specific formats.
Extract NSN, prefix and extension
^(\(?(?:0(?:0|11)\)?[\s-]?\(?|\+)(44)\)?[\s-]?)?\(?0?(?:\)[\s-]?)?([1-9]\d{1,4}\)?[\d[\s-]]+)((?:x|ext\.?|\#)\d{3,4})?$
Next, extract the various elements.
$2 will be '44' if international format was used, otherwise assume national format with leading '0'.
$4 contains the extension number if present.
$3 contains the NSN part.
Validation and formatting
Use further RegEx patterns to check the NSN has the right number of digits for this number range. Finally, store the number in E.164 format or display it in E.123 format.
There's a very detailed list of validation and display formatting RegEx patterns for UK numbers at:
http://www.aa-asterisk.org.uk/index.php/Regular_Expressions_for_Validating_and_Formatting_UK_Telephone_Numbers
It's too long to reproduce here and it would be difficult to maintain multiple copies of this document.
If you are looking for all UK numbers, I'd look for a bit more than just that number, some are in the format 020 7123 4567 etc.
^\s*\(?(020[7,8]{1}\)?[ ]?[1-9]{1}[0-9{2}[ ]?[0-9]{4})|(0[1-8]{1}[0-9]{3}\)?[ ]?[1-9]{1}[0-9]{2}[ ]?[0-9]{3})\s*$
/\d*(*)*+*-*/
Simple Telephone Regex includes + () and - anywhere, as well as digits
I think ^0[\d]{4}\s?[\d]{5,6}} will work for you. I have used [\d] instead of [0-9].
I find that RegExr is a useful online tool to check and try your regular expressions. It also has a nice library of examples to help point you in the right direction
you should just count the number of digits and check that it's 10,
Some UK numbers have only 9 digits, not 10 (not including the leading 0).
These include 40 of the 01 area codes (using "4+5" format), the 016977 area code (using "5+4" format), all 0500 numbers and some 0800 numbers.
There's a list at: http://www.aa-asterisk.org.uk/index.php/01_numbers
This US numbers pattern accepts following phones as well:
800-432-4500, Opt: 9, Ext: 100316
800-432-4500, Opt: 9, Ext: X100316
800-432-4500, Option #3
(?:(?:\+?1\s*(?:[.-]\s*)?)?(?:\(\s*([2-9]1[02-9]|[2-9][02-8]1|[2-9][02-8][02-9])\s*\)|([2-9]1[02-9]|[2-9][02-8]1|[2-9][02-8][02-9]))\s*(?:[.-]\s*)?)?([2-9]1[02-9]|[2-9][02-9]1|[2-9][02-9]{2})\s*(?:[.-]\s*)?([0-9]{4}),?(?:\s*(?:#|x\.?|opt(\.|:|\.:)?|option)\s*#?(\d+))?,?(?:\s*(?:#|x\.?|ext(\.|:|\.:)?|extension)\s*(\d+))?
(used this answer in other topic as start point)
I am new to regex and struggling to create an expression to parse a csv containing 1 to n values. The values can be integers or real numbers. The sample inputs would be:
1
1,2,3,4,5
1,2.456, 3.08, 0.5, 7
This would be used in c#.
Thanks,
Jerry
Use a CSV parser instead of RegEx.
There are several options - see this SO questions and answers and this one for the different options (built into the BCL and third party libraries).
The BCL provides the TextFieldParser (within the VisualBasic namespace, but don't let that put you off it).
A third party library that is liked by many is filehelpers.
Using REGEX for CSV parsing has been a 10 year jihad for me. I have found it remarkably frustrating, due to the boundary cases:
Numbers come in a variety of forms (here in the US, Canada):
1
1.
1.0
1000
1000.
1,000
1e3
1.0e3
1.0e+3
1.0e+003
-1
-1.0 (etc)
But of course, Europe has traditionally been different with regard to commas and decimal points:
1
1,0
1000
1.000e3
1e3
1,0e3
1,0e+3
1,0e+003
Which just ruins everything. So, we ignore the German and French and Continental standard because the comma just is impossible to work out whether it is separating values, or part of values. (The Continent likes TAB instead of COMMA)
I'll assume that you're "just" looking for numerical values separated from each other by commas and possible space-padding. The expression:
\s*(\-?\d+(?:\.\d*)?(?:[eE][\-+]?\d*)?)\s*
is a pretty fair parser of A NUMBER. Catches just about every reasonable case. Doesn't deal with imbedded commas though! It also trims off spaces, either side of the number.
From there, you can either build an iterative CSV string decomposer (walking each field, absorbing commas, assigning to an array, say), or use the scanf type function to do the same thing. I do prefer the iterative decomposition method - as it also allows you to parse out strings, hexadecimal, and virtually any other pattern you find in the data.
The regex you want is
#"([+-]?\d+(?:\.\d+)?)(?:$|,\s*)"
...from which you'll want capture group 1. However, don't use regex for something like this. String manipulation is much better when the input is in a very static, predictable format:
string[] nums = strInput.split(", ".ToCharArray(), StringSplitOptions.RemoveEmptyEntries);
List<float> results = (from n in nums
select float.Parse(n)).ToList();
If you do use regex, make sure you do a global capture.
I think you would have to loop it to check for an unknown number of ints... or else something like this:
/ *([0-9.]*) *,? *([0-9.]*) *,? *([0-9.]*) *,? *([0-9.]*) *,? *([0-9.]*) */
and you could keep that going ",?([0-9]*)" as far as you wanted to, to account for a lot of numbers. The result would be an array of numbers....
http://jsfiddle.net/8URvL/1/