extract-numbers 1.0.2

Extract numbers from strings with support for commas, decimals, negatives, and the European format.

extract-numbers

Extract numbers from strings, with support for commas, decimals, negatives, and the European format.

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Installation

pip install extract-numbers

Usage

from extract_numbers import ExtractNumbers

extractor = ExtractNumbers()

text = "100,000 results found"
extractor.extractNumbers(text)
# => ['100,000']

API

ExtractNumbers(options: dict = None)

Create a new extractor instance with optional config.

.extractNumbers(text: str) -> List[Union[str, int, float]]

Extracts all valid numbers from the given string, based on the configured options.

Examples

Basic Extraction

extractor = ExtractNumbers()

extractor.extractNumbers("3030 results found")
# => ['3030']

extractor.extractNumbers("50 out of 100")
# => ['50', '100']

Negatives

extractor.extractNumbers("Temperature: -15°C, yesterday: -22, before: -20.5")
# => ['-15', '-22', '-20.5']

extractor.extractNumbers("-170,000, -222,987 and -222,987,899.70 respectively.")
# => ['-170,000', '-222,987', '-222,987,899.70']

Commas and Decimals

extractor.extractNumbers("100,000 out of 220,000,000 people")
# => ['100,000', '220,000,000']

extractor.extractNumbers("Your rating is 8.7")
# => ['8.7']

extractor.extractNumbers("Your balance: $100,000.77, previous: $90,899.89")
# => ['100,000.77', '90,899.89']

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Options

Type: Object

as_string

Type: bool Default: True

If set to False, all numbers are returned as int or float types.

ExtractNumbers({ 'as_string': False }).extractNumbers("7.7, 3030, 90,899,232.89 and -222,987,899.9")
# => [7.7, 3030, 90899232.89, -222987899.9]

remove_commas

Type: bool Default: False Works only when as_string=True.

Removes thousands separators from the returned number strings.

ExtractNumbers({ 'remove_commas': True }).extractNumbers("100,000,000 and -222,987,899.9")
# => ['100000000', '-222987899.9']

european_format

Type: bool Default: False Works only when as_string=True.

Enables European number formatting (e.g., 1.000.000,99 instead of 1,000,000.99).

ExtractNumbers({ 'european_format': True }).extractNumbers("1.000.000,77")
# => ['1.000.000,77']

ExtractNumbers({ 'european_format': True, 'as_string': False }).extractNumbers("1.000.000,77")
# => [1000000.77]

With remove_commas=True:

ExtractNumbers({ 'european_format': True, 'remove_commas': True }).extractNumbers("1.000.000,77")
# => ['1000000,77']

💡 Note: The decimal comma is preserved for as_string=True to support formatting needs. Use as_string=False to convert to a float.

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Contributing

Contributions, issues, and feature requests are welcome!

Feel free to:

• Fork the repo
• Create a new branch
• Submit a pull request

If you're fixing a bug or adding a feature, please include a clear description in your PR.

Ensure your changes are covered by tests.

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Setup for Local Development

Install dev dependencies:

pip install .[dev]

OR

pip install '.[dev]'

Run the full validation suite (formatting, type checking, and tests):

make validate

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Other Packages

• randomcoords – The Python client for the RandomCoords API to fetch random geographic coordinates worldwide.

License

MIT © Talha Awan