python - Regular Expression for double and integer validation

Python - Regular Expression for double and integer validation

To create regular expressions for double and integer validation in Python, you can use the following patterns:

  1. Double Validation:

    import re def is_valid_double(value): pattern = re.compile(r'^[-+]?\d*\.?\d+$') return bool(pattern.match(value)) # Example usage double_value = "123.45" if is_valid_double(double_value): print(f"{double_value} is a valid double.") else: print(f"{double_value} is not a valid double.")

    In this example, the regex pattern ^[-+]?\d*\.?\d+$ is used:

    • ^: Start of the string.
    • [-+]?: Optional positive or negative sign.
    • \d*: Zero or more digits.
    • \.?: Optional decimal point.
    • \d+: One or more digits.
    • $: End of the string.

  2. Integer Validation:

    import re def is_valid_integer(value): pattern = re.compile(r'^[-+]?\d+$') return bool(pattern.match(value)) # Example usage integer_value = "123" if is_valid_integer(integer_value): print(f"{integer_value} is a valid integer.") else: print(f"{integer_value} is not a valid integer.")

    In this example, the regex pattern ^[-+]?\d+$ is used:

    • ^: Start of the string.
    • [-+]?: Optional positive or negative sign.
    • \d+: One or more digits.
    • $: End of the string.

Adjust the patterns based on your specific requirements or any additional constraints you may have for double and integer validation.

Examples

  1. "Python regex for validating integers"

    • Code:
      import re pattern = re.compile(r'^[+-]?\d+$') integer_input = "123" is_valid_integer = bool(re.match(pattern, integer_input))
    • Description: Validates integers using regex, allowing an optional sign at the beginning.

  2. "Python regex for validating positive integers"

    • Code:
      import re pattern = re.compile(r'^\d+$') positive_integer_input = "456" is_valid_positive_integer = bool(re.match(pattern, positive_integer_input))
    • Description: Validates positive integers using regex.

  3. "Python regex for validating negative integers"

    • Code:
      import re pattern = re.compile(r'^-[1-9]\d*$') negative_integer_input = "-789" is_valid_negative_integer = bool(re.match(pattern, negative_integer_input))
    • Description: Validates negative integers using regex.

  4. "Python regex for validating doubles"

    • Code:
      import re pattern = re.compile(r'^[+-]?\d+(\.\d+)?$') double_input = "123.45" is_valid_double = bool(re.match(pattern, double_input))
    • Description: Validates doubles using regex, allowing an optional sign and decimal part.

  5. "Python regex for validating positive doubles"

    • Code:
      import re pattern = re.compile(r'^\d+(\.\d+)?$') positive_double_input = "678.90" is_valid_positive_double = bool(re.match(pattern, positive_double_input))
    • Description: Validates positive doubles using regex, allowing an optional decimal part.

  6. "Python regex for validating negative doubles"

    • Code:
      import re pattern = re.compile(r'^-[1-9]\d*(\.\d+)?$') negative_double_input = "-123.456" is_valid_negative_double = bool(re.match(pattern, negative_double_input))
    • Description: Validates negative doubles using regex, allowing an optional decimal part.

  7. "Python regex for validating integers and doubles"

    • Code:
      import re pattern = re.compile(r'^[+-]?\d+(\.\d+)?$') num_input = "789.012" is_valid_number = bool(re.match(pattern, num_input))
    • Description: Validates integers and doubles using regex, allowing an optional sign and decimal part.

  8. "Python regex for validating integers with commas"

    • Code:
      import re pattern = re.compile(r'^[+-]?\d{1,3}(,\d{3})*$') integer_with_commas_input = "1,234,567" is_valid_integer_with_commas = bool(re.match(pattern, integer_with_commas_input))
    • Description: Validates integers with commas using regex, allowing an optional sign and comma-separated thousands.

  9. "Python regex for validating scientific notation numbers"

    • Code:
      import re pattern = re.compile(r'^[+-]?\d+(\.\d+)?[eE][+-]?\d+$') scientific_notation_input = "1.23e+4" is_valid_scientific_notation = bool(re.match(pattern, scientific_notation_input))
    • Description: Validates numbers in scientific notation using regex, allowing an optional sign, decimal part, and exponent part.

  10. "Python regex for validating integers and doubles with optional commas"

    • Code:
      import re pattern = re.compile(r'^[+-]?\d{1,3}(,\d{3})*(\.\d+)?$') num_with_commas_input = "1,234.567" is_valid_num_with_commas = bool(re.match(pattern, num_with_commas_input))
    • Description: Validates integers and doubles with optional commas using regex, allowing an optional sign, comma-separated thousands, and decimal part.

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