This modest package contains various common humanization utilities, like turning a number into a fuzzy human-readable duration ("3 minutes ago") or into a human-readable size or throughput. It is localized to:
https://python-humanize.readthedocs.io
>>> import humanize >>> humanize.intcomma(12345) '12,345' >>> humanize.intword(123455913) '123.5 million' >>> humanize.intword(12345591313) '12.3 billion' >>> humanize.apnumber(4) 'four' >>> humanize.apnumber(41) '41'
>>> import humanize >>> import datetime as dt >>> humanize.naturalday(dt.datetime.now()) 'today' >>> humanize.naturaldelta(dt.timedelta(seconds=1001)) '16 minutes' >>> humanize.naturalday(dt.datetime.now() - dt.timedelta(days=1)) 'yesterday' >>> humanize.naturalday(dt.date(2007, 6, 5)) 'Jun 05' >>> humanize.naturaldate(dt.date(2007, 6, 5)) 'Jun 05 2007' >>> humanize.naturaltime(dt.datetime.now() - dt.timedelta(seconds=1)) 'a second ago' >>> humanize.naturaltime(dt.datetime.now() - dt.timedelta(seconds=3600)) 'an hour ago'
>>> import humanize >>> import datetime as dt >>> delta = dt.timedelta(seconds=3633, days=2, microseconds=123000) >>> humanize.precisedelta(delta) '2 days, 1 hour and 33.12 seconds' >>> humanize.precisedelta(delta, minimum_unit="microseconds") '2 days, 1 hour, 33 seconds and 123 milliseconds' >>> humanize.precisedelta(delta, suppress=["days"], format="%0.4f") '49 hours and 33.1230 seconds'
If seconds are too large, set minimum_unit
to milliseconds or microseconds:
>>> import humanize >>> import datetime as dt >>> humanize.naturaldelta(dt.timedelta(seconds=2)) '2 seconds'
>>> delta = dt.timedelta(milliseconds=4) >>> humanize.naturaldelta(delta) 'a moment' >>> humanize.naturaldelta(delta, minimum_unit="milliseconds") '4 milliseconds' >>> humanize.naturaldelta(delta, minimum_unit="microseconds") '4 milliseconds'
>>> humanize.naturaltime(delta) 'now' >>> humanize.naturaltime(delta, minimum_unit="milliseconds") '4 milliseconds ago' >>> humanize.naturaltime(delta, minimum_unit="microseconds") '4 milliseconds ago'
>>> import humanize >>> humanize.naturalsize(1_000_000) '1.0 MB' >>> humanize.naturalsize(1_000_000, binary=True) '976.6 KiB' >>> humanize.naturalsize(1_000_000, gnu=True) '976.6K'Human-readable floating point numbers
>>> import humanize >>> humanize.fractional(1/3) '1/3' >>> humanize.fractional(1.5) '1 1/2' >>> humanize.fractional(0.3) '3/10' >>> humanize.fractional(0.333) '333/1000' >>> humanize.fractional(1) '1'
>>> import humanize >>> humanize.scientific(0.3) '3.00 x 10⁻¹' >>> humanize.scientific(500) '5.00 x 10²' >>> humanize.scientific("20000") '2.00 x 10⁴' >>> humanize.scientific(1**10) '1.00 x 10⁰' >>> humanize.scientific(1**10, precision=1) '1.0 x 10⁰' >>> humanize.scientific(1**10, precision=0) '1 x 10⁰'
How to change locale at runtime:
>>> import humanize >>> import datetime as dt >>> humanize.naturaltime(dt.timedelta(seconds=3)) '3 seconds ago' >>> _t = humanize.i18n.activate("ru_RU") >>> humanize.naturaltime(dt.timedelta(seconds=3)) '3 секунды назад' >>> humanize.i18n.deactivate() >>> humanize.naturaltime(dt.timedelta(seconds=3)) '3 seconds ago'
You can pass additional parameter path
to activate
to specify a path to search locales in.
>>> import humanize >>> humanize.i18n.activate("xx_XX") <...> FileNotFoundError: [Errno 2] No translation file found for domain: 'humanize' >>> humanize.i18n.activate("pt_BR", path="path/to/my/own/translation/") <gettext.GNUTranslations instance ...>
How to add new phrases to existing locale files:
$ xgettext --from-code=UTF-8 -o humanize.pot -k'_' -k'N_' -k'P_:1c,2' -l python src/humanize/*.py # extract new phrases $ msgmerge -U src/humanize/locale/ru_RU/LC_MESSAGES/humanize.po humanize.pot # add them to locale files
How to add a new locale:
$ msginit -i humanize.pot -o humanize/locale/<locale name>/LC_MESSAGES/humanize.po --locale <locale name>
Where <locale name>
is a locale abbreviation, eg. en_GB
, pt_BR
or just ru
, fr
etc.
List the language at the top of this README.
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