number-parser
is a simple library that allows you to convert numbers written in the natural
language to it's equivalent numeric forms. It currently supports cardinal numbers in the following
languages - English, Hindi, Spanish, Ukrainian and Russian and ordinal numbers in English.
pip install number-parser
number-parser requires Python 3.9+.
The library provides the following common usages.
Identifying the numbers in a text string, converting them to corresponding numeric values while ignoring non-numeric words. This also supports ordinal number conversion (for English only).
>>> from number_parser import parse
>>> parse("I have two hats and thirty seven coats")
'I have 2 hats and 37 coats'
>>> parse("One, Two, Three go")
'1, 2, 3 go'
>>> parse("First day of year two thousand")
'1 day of year 2000'
Converting a single number written in words to it's corresponding integer.
>>> from number_parser import parse_number
>>> parse_number("two thousand and twenty")
2020
>>> parse_number("not_a_number")
Converting a single ordinal number written in words to its corresponding integer. (Support for English only)
>>> from number_parser import parse_ordinal
>>> parse_ordinal("twenty third")
23
>>> parse_ordinal("seventy fifth")
75
Converting a fractional number written in words to its corresponding integral fraction. (Support for English only)
>>> from number_parser import parse_fraction
>>> parse_fraction("forty two divided by five hundred and six")
'42/506'
>>> parse_fraction("one over two")
'1/2'
>>> parse_fraction("forty two / one million")
'42/1000000'
The default language is English, you can pass the language parameter with corresponding locale for other languages. It currently supports cardinal numbers in the following languages - English, Hindi, Spanish, Ukrainian and Russian and ordinal numbers in English.
>>> from number_parser import parse, parse_number
>>> parse("Hay tres gallinas y veintitrés patos", language='es')
'Hay 3 gallinas y 23 patos'
>>> parse_number("चौदह लाख बत्तीस हज़ार पाँच सौ चौबीस", language='hi')
1432524
The library has extensive tests. Some of the supported cases are described below.
Accurately handling usage of conjunction while forming the number.
>>> parse("doscientos cincuenta y doscientos treinta y uno y doce", language='es')
'250 y 231 y 12'
Handling ambiguous cases without proper separators.
>>> parse("two thousand thousand")
'2000 1000'
>>> parse_number("two thousand two million")
2002000000
Handling nuances in the languag ith different forms of the same number.
>>> parse_number("пятисот девяноста шести", language='ru')
596
>>> parse_number("пятистам девяноста шести", language='ru')
596
>>> parse_number("пятьсот девяносто шесть", language='ru')
596
- Source code: https://github.com/scrapinghub/number-parser
- Issue tracker: https://github.com/scrapinghub/number-parser/issues