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Python datetimes made easy.
Supports Python 3.8 and newer.
>>> import pendulum
>>> now_in_paris = pendulum.now('Europe/Paris')
>>> now_in_paris
'2016-07-04T00:49:58.502116+02:00'
# Seamless timezone switching
>>> now_in_paris.in_timezone('UTC')
'2016-07-03T22:49:58.502116+00:00'
>>> tomorrow = pendulum.now().add(days=1)
>>> last_week = pendulum.now().subtract(weeks=1)
>>> past = pendulum.now().subtract(minutes=2)
>>> past.diff_for_humans()
'2 minutes ago'
>>> delta = past - last_week
>>> delta.hours
23
>>> delta.in_words(locale='en')
'6 days 23 hours 58 minutes'
# Proper handling of datetime normalization
>>> pendulum.datetime(2013, 3, 31, 2, 30, tz='Europe/Paris')
'2013-03-31T03:30:00+02:00' # 2:30 does not exist (Skipped time)
# Proper handling of dst transitions
>>> just_before = pendulum.datetime(2013, 3, 31, 1, 59, 59, 999999, tz='Europe/Paris')
'2013-03-31T01:59:59.999999+01:00'
>>> just_before.add(microseconds=1)
'2013-03-31T03:00:00+02:00'Native datetime instances are enough for basic cases but when you face more complex use-cases they often show limitations and are not so intuitive to work with. Pendulum provides a cleaner and more easy to use API while still relying on the standard library. So it's still datetime but better.
Unlike other datetime libraries for Python, Pendulum is a drop-in replacement for the standard datetime class (it inherits from it), so, basically, you can replace all your datetime instances by DateTime instances in your code (exceptions exist for libraries that check the type of the objects by using the type function like sqlite3 or PyMySQL for instance).
It also removes the notion of naive datetimes: each Pendulum instance is timezone-aware and by default in UTC for ease of use.
Pendulum also improves the standard timedelta class by providing more intuitive methods and properties.
Even though the DateTime class is a subclass of datetime there are some rare cases where it can't replace the native class directly. Here is a list (non-exhaustive) of the reported cases with a possible solution, if any:
from pendulum import DateTime
from sqlite3 import register_adapter
register_adapter(DateTime, lambda val: val.isoformat(' '))import MySQLdb.converters
import pymysql.converters
from pendulum import DateTime
MySQLdb.converters.conversions[DateTime] = MySQLdb.converters.DateTime2literal
pymysql.converters.conversions[DateTime] = pymysql.converters.escape_datetimefrom django.db.models import DateTimeField as BaseDateTimeField
from pendulum import DateTime
class DateTimeField(BaseDateTimeField):
def value_to_string(self, obj):
val = self.value_from_object(obj)
if isinstance(value, DateTime):
return value.to_datetime_string()
return '' if val is None else val.isoformat()Contributions are welcome, especially with localization.
To work on the Pendulum codebase, you'll want to clone the project locally and install the required dependencies via poetry.
$ git clone git@github.com:sdispater/pendulum.git
$ poetry installIf you want to help with localization, there are two different cases: the locale already exists or not.
If the locale does not exist you will need to create it by using the clock utility:
./clock locale create <your-locale>It will generate a directory in pendulum/locales named after your locale, with the following structure:
<your-locale>/
- custom.py
- locale.py
The locale.py file must not be modified. It contains the translations provided by the CLDR database.
The custom.py file is the one you want to modify. It contains the data needed by Pendulum that are not provided by the CLDR database. You can take the en data as a reference to see which data is needed.
You should also add tests for the created or modified locale.
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