To get the current timestamp in UTC timezone, use datetime.now() passing timezone. The result is a list of datetime objects. In this lesson, we will study some simple yet effective examples with Python datetime module which can be used to get the current date, formatting date. Current datetime in UTC Current datetime in Timezone Datetime with Offset Timezone Add UTC Timezone to naive datetime Convert datetime to another timezone All examples use Python 3.6+ unless otherwise stated. But if I convert the time units to something like seconds, or even microseconds (us): In : ('datetime64') But unlike date class, the objects of DateTime class. Like a date object, DateTime assumes the current Gregorian calendar extended in both directions like a time object, DateTime assumes there are exactly 360024 seconds in every day. With the result is a large integer, a 'timestamp' of some sort. DateTime class of the DateTime module as the name suggests contains information on both date as well as time. Here, we used the time class to write the time from the current date and. The datetime module in Python helps in providing six. The Python datetime module has the time class used to work or manipulate time values. 'T00:00:00.000000000'], dtype='datetime64') Date and Time in Python are not a datatypes on their own, but we can import a datetime module. Now, we can create a datetime object with the time zone UTC by applying the Python code below: mydatetime datetime(2023, 2, 13, 17, 10, 27, tzinfo pytz. ![]() The equivalent numpy array In : time.valuesĪrray(['T00:00:00.000000000', 'T00:00:00.000000000', Python Standard Library packages Well discuss below WHY we alias the packages this way import datetime as dt import math import time as tm Third-party. Date and time are not data types in Python, however, a module called datetime can be imported to work with both the date and the time. Well also use dateutil, Maya and Arrow to convert Strings to. ![]() I'm not sure about your when variable, but let's assume it comes from pandas, and is something like a DatetimeIndex: In : time = pandas.date_range('', periods=5, freq='5D') In this tutorial, well be converting Strings to datetime in Python, dealing with Timezones. With the right time units a datetime64 can produce a datetime object directly. I wonder if you need all this conversion work.
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