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Great Pop in Restoration to Python Datetime Library
One of the key Python DateTime modules to play with DateTime manipulation is the pendulum. It fixes the issue that time zone-related date operations aren't handled properly by native DateTime objects.
It derives from the common DateTime library but has more useful features.
One of the most popular built-in modules in Python is one we have called DateTime. As an example, it's a very simple and effective module. One of their favourite tools, for instance, is the date and time.
However, we should always understand that there are also a few limitations of the DateTime module advisedly. For instance, dealing with timezones typically reveals the deficiency. We have to set some third-party libraries in action less frequently as add-ons. Additionally, several features of the DateTime module aren't very common or intuitive in other programming languages.
We will learn about Pendulum, a third-party library that can resolve all of the problems with the built-in DateTime module, in this post.
To install this module run this command into your terminal:
pip install pendulum
Let’s see the simple examples:
# import library
dt = pendulum.datetime(2022,5,9)
#local() creates datetime instance with local timezone
local = pendulum.local(2022,5,9)
Lets create a datetime object using pendulum
from datetime import datetime
dt = pdl.datetime(2021, 11, 6)
There is nothing supernatural here. It's only because Pendulum acquires properties of the Python DateTime object. So, we can use some original features from the DateTime module. Precisely, a Pendulum DateTime object is also a Python DateTime object:
Time zones :
The timezones will be the Pendulum Library's most amazing feature. We can simply naturally build a DateTime object with a timezone using the Pendulum Library.
import pendulum as pdl
dt_Kolkata = pdl.datetime(2021, 11, 6, tz='Asia/Kolkata')
dt_melbourne = pdl.datetime(2021, 11, 6,tz='Australia/Melbourne')
In the aforementioned example, we simultaneously generated two objects. The time zones are different, though. We can quickly compare the time zones.
not simple! comparing DateTime objects from several time zones to determine the outcome!
To reuse the timezones of several nations, we can build an object and provide it to the DateTime constructor, but we can also declare different DateTime objects.
Perhaps the most frequent use case in programming is parsing a DateTime. The performance of the Python DateTime module is decent. However, Python utilises a unique format %Y%m%d in contrast to the majority of other programming languages.
import pendulum as pdl
pdl.from_format('2022-5-09 22:00:00', 'YYYY-MM-DD HH:mm:ss')
It fully supports the RFC 3339 and ISO 8601 formats, as well as many other common formats. That means we don’t have to specify the format codes to parse a string into datetime.
Above all, Pendulum supports many more formats on the fly. For example, the DateTime with numbers only:
The output of DateTime into strings with formats will be the next significant modification after parsing strings into DateTime objects. The following techniques can be used to transform date and time into a regular formatted string.
We may start by taking a DateTime object. Since Python DateTime is replaced by Pendulum, we may utilise several ways, including now ().
dt = pdl.now()
Different formats :
The Pendulum module which has format() & strftime() function helps us to specify our own format.
dt.to_date_string() # with date only
dt.to_time_string() # with time only
dt.to_formatted_date_string() # month_abbr date, year
dt.to_day_datetime_string() # day, month_abbr date, year hh:mm am/pm
dt.to_iso8601_string() # to ISO 9601 standard
dt.to_atom_string() # to Atom format
dt.to_cookie_string() # to cookie style format
The other way round, we also use the format code to customise the output string, and the format code is more natural. Click here to learn Data Science Courses in Bangalore
dt.format('DD MMMM, YYYY dddd HH:mm:ss A')
The built-in Python DateTime module lets the time delta utility easily carry out comparison tasks. When comparing two DateTime objects, Pendulum flattens it by producing some output that is more suited to humans.
dt1 = pdl.datetime(2022, 1, 1)
Duration – timedelta replacement
time_delta = pendulum.duration(days = 2,
hours = 10,
years = 2)
# Date when I am writing this code is 2022-05-12.
print('future date =',
pendulum.now() + time_delta)
When you subtract a DateTime instance from another, it will return a Period instance. It inherits from the Duration class and with an extra benefit that it's turned into the instances that make it so that it can give access to more procedures. Click here to learn Data Science Training in Hyderabad
# You can create period instance
# by using the period() method
start = pendulum.datetime(2022, 1, 1)
end = pendulum.datetime(2022, 5, 31)
period = pendulum.period(start, end)
Find Relative Datetime
The idea that the built-in Python DateTime function could perform better is predicated on a specified one. For instance, we must utilise the relative delta from the dateutil module when looking for the last day of the current month.
from dateutil.relativedelta import relativedelta
datetime.datetime(2022, 5, 12) + relativedelta(day=31)
Also, the code is not easily readable because we are using day=31 as the argument, although it does the trick when the month has less than 31 days.
While in Pendulum, it is difficult as well!!!
pdl.now().start_of('day') # find the start time of the day
Another inconvenience of the built-in DateTime module is finding a day of the week. For example, if we wish to search out the date of next Tuesday, this can be probably the best thanks to doing so.
from datetime import datetime, timedelta
datetime.now() + timedelta(days=(1-datetime.now().weekday()+7)%7)
The result displayed is poor readability. A developer shall spend some time understanding the logic behind the code.
Pendulum makes it much better!
We learnt about the Python third-party library Pendulum in this post. The Python language's built-in DateTime module is making a transition towards restoration. The majority of issues that the DateTime module can address are quickly resolved by utilising this library. More significantly, Pendulum offers tidy, clear APIs that make it easy to comprehend our code and improve its readability.
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