| Metadata-Version: 2.4 |
| Name: humanize |
| Version: 4.15.0 |
| Summary: Python humanize utilities |
| Project-URL: Documentation, https://humanize.readthedocs.io/ |
| Project-URL: Funding, https://tidelift.com/subscription/pkg/pypi-humanize?utm_source=pypi-humanize&utm_medium=pypi |
| Project-URL: Homepage, https://github.com/python-humanize/humanize |
| Project-URL: Issue tracker, https://github.com/python-humanize/humanize/issues |
| Project-URL: Release notes, https://github.com/python-humanize/humanize/releases |
| Project-URL: Source, https://github.com/python-humanize/humanize |
| Author-email: Jason Moiron <jmoiron@jmoiron.net> |
| Maintainer: Hugo van Kemenade |
| License-Expression: MIT |
| License-File: LICENCE |
| Keywords: humanize time size |
| Classifier: Development Status :: 5 - Production/Stable |
| Classifier: Intended Audience :: Developers |
| Classifier: Operating System :: OS Independent |
| Classifier: Programming Language :: Python |
| Classifier: Programming Language :: Python :: 3 :: Only |
| Classifier: Programming Language :: Python :: 3.10 |
| Classifier: Programming Language :: Python :: 3.11 |
| Classifier: Programming Language :: Python :: 3.12 |
| Classifier: Programming Language :: Python :: 3.13 |
| Classifier: Programming Language :: Python :: 3.14 |
| Classifier: Programming Language :: Python :: 3.15 |
| Classifier: Programming Language :: Python :: Implementation :: CPython |
| Classifier: Programming Language :: Python :: Implementation :: PyPy |
| Classifier: Topic :: Text Processing |
| Classifier: Topic :: Text Processing :: General |
| Requires-Python: >=3.10 |
| Provides-Extra: tests |
| Requires-Dist: freezegun; extra == 'tests' |
| Requires-Dist: pytest; extra == 'tests' |
| Requires-Dist: pytest-cov; extra == 'tests' |
| Description-Content-Type: text/markdown |
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| [](https://pypi.org/project/humanize/) |
| [](https://pypi.org/project/humanize/) |
| [](https://humanize.readthedocs.io/en/latest/?badge=latest) |
| [](https://pypistats.org/packages/humanize) |
| [](https://github.com/python-humanize/humanize/actions) |
| [](https://codecov.io/gh/python-humanize/humanize) |
| [](LICENCE) |
| [](https://tidelift.com/subscription/pkg/pypi-humanize?utm_source=pypi-humanize&utm_medium=badge) |
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| 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: |
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| - Arabic |
| - Basque |
| - Bengali |
| - Brazilian Portuguese |
| - Catalan |
| - Danish |
| - Dutch |
| - Esperanto |
| - European Portuguese |
| - Finnish |
| - French |
| - German |
| - Greek |
| - Hebrew |
| - Indonesian |
| - Italian |
| - Japanese |
| - Klingon |
| - Korean |
| - Norwegian |
| - Persian |
| - Polish |
| - Russian |
| - Simplified Chinese |
| - Slovak |
| - Slovenian |
| - Spanish |
| - Swedish |
| - Turkish |
| - Ukrainian |
| - Uzbek |
| - Vietnamese |
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| [https://humanize.readthedocs.io](https://humanize.readthedocs.io/) |
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| <!-- usage-start --> |
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| ```bash |
| python3 -m pip install --upgrade humanize |
| ``` |
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| ```bash |
| git clone https://github.com/python-humanize/humanize |
| cd humanize |
| python3 -m pip install -e . |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| If seconds are too large, set `minimum_unit` to milliseconds or microseconds: |
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| ```pycon |
| >>> import humanize |
| >>> import datetime as dt |
| >>> humanize.naturaldelta(dt.timedelta(seconds=2)) |
| '2 seconds' |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| ```pycon |
| >>> humanize.naturaltime(delta) |
| 'now' |
| >>> humanize.naturaltime(delta, minimum_unit="milliseconds") |
| '4 milliseconds ago' |
| >>> humanize.naturaltime(delta, minimum_unit="microseconds") |
| '4 milliseconds ago' |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| ```pycon |
| >>> 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' |
| ``` |
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| How to change locale at runtime: |
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| ```pycon |
| >>> 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' |
| ``` |
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| You can pass additional parameter `path` to `activate` to specify a path to search |
| locales in. |
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| ```pycon |
| >>> 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 ...> |
| ``` |
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| <!-- usage-end --> |
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| How to add new phrases to existing locale files: |
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| ```sh |
| xgettext --from-code=UTF-8 -o humanize.pot -k'_' -k'N_' -k'P_:1c,2' -k'NS_:1,2' -k'_ngettext:1,2' -l python src/humanize/*.py |
| msgmerge -U src/humanize/locale/ru_RU/LC_MESSAGES/humanize.po humanize.pot |
| ``` |
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| How to add a new locale: |
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| ```sh |
| msginit -i humanize.pot -o humanize/locale/<locale name>/LC_MESSAGES/humanize.po --locale <locale name> |
| ``` |
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| Where `<locale name>` is a locale abbreviation, eg. `en_GB`, `pt_BR` or just `ru`, `fr` |
| etc. |
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| List the language at the top of this README. |
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