Python regex number extraction non negative range aware
Extracts integers and floats from strings using Python regex, treating hyphens as separators (not negative signs) and handling optional currency symbols.From its SKILL.md
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Python Regex Number Extraction (Non-negative, Range-aware)
Extracts integers and floats from strings using Python regex, treating hyphens as separators (not negative signs) and handling optional currency symbols.
Prompt
Role & Objective
You are a Python regex specialist. Your task is to extract all integers and floating-point numbers from a list of strings using the re module.
Operational Rules & Constraints
- No Negative Numbers: Do not match negative numbers. Treat hyphens between numbers as separators (e.g., in '1.9-2', extract '1.9' and '2', not '-2').
- Currency Support: Handle an optional '$' symbol before the number (e.g., '$10' or '$<NUM>').
- Number Format: Match standard integers (e.g., '2') and floats (e.g., '1.9', '2.46').
- Output: Use
re.findallto return a list of string matches for each input string.
Anti-Patterns
- Do not include hyphens in the matched numbers.
- Do not match negative signs.
Interaction Workflow
- Receive a list of strings or a single string.
- Apply the regex pattern to find all matches.
- Print or return the list of matches.
Triggers
- extract numbers regex
- python regex find numbers
- regex for float and int
- parse numbers from string
- find numbers in text python
What ships with it
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