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2025-09-21 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article is about how regular expressions match numbers. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.
Efficient regular expressions match numeric instances:
^ [1-9]\ dmatch $/ / match positive integers ^ -? [1-9]\ dmatch $/ / match negative integers ^ [1-9]\ dmatch $/ / match non-negative integers ^ [1-9]\ d* | 0 $/ match non-negative integers (positive integers + 0) ^-[1-9]\ d* | 0 $/ match non-positive integers (negative integers + 0) ) ^ [1-9]\ d*\.\ d* | 0.\ d* [1-9]\ dfloat $/ / match positive floating point number ^-([1-9]\ d*\.\ d* | 0\.\ d* [1-9]\ d*) $/ match negative floating point number ^ -? ([1-9]\ d*.\ d* | 0.\ d* [1-9]\ d* | 0. ?\ .0 + | 0) $/ / match floating point number ^ [1-9]\ d*.\ d* | 0.\ d* [1-9]\ d* | 0?\ .0 + | 0 $/ match non-negative floating point number (positive floating point number + 0) ^ (- ([1-9]\ d*\.\ d* | 0\.\ d* [1-9]\ d*)) | 0?\ .0 + | 0 $/ match non-positive floating point number (negative floating point + 0)
Note: useful when dealing with a large amount of data, pay attention to correction in specific application
The content of regular expressions matching numbers will be introduced to you here.
I hope it will help you to understand and learn to use regular expressions to match numbers. After reading this article, I believe you have some understanding of "how regular expressions match numbers". If you want to know more about it, you are welcome to follow the industry information channel. Thank you for reading!
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