If the format of a string is known, it can be easily parsed to a datetime object using strptime(). Using strptime() Format Tokens to Convert String to Different Datetime Format August is the 8th month, and is zero-padded to 08). Note: All of these tokens, except the year, are expected to be zero-padded (i.e. Some of the commonly used ones, that we've also used earlier are: The list of supported tokens is extensive enough to enable various formatting. It's worth taking a moment to understand format tokens - the "%Y-%m-%d %H:%M:%S.%f" from before.Įach token represents a different part of the date-time, like day, month, year, day of month or week, etc. As you can see from the output, it prints the 'date' and 'time' part of the input string! Format Tokens Since this is a datetime object, we can call the date() and time() methods directly on it. The returned datetime value is stored as date_time_obj. In our example, " 10:27:03.929149" is the input string and "%Y-%m-%d %H:%M:%S.%f" is the format of our date string. The return value is of the type datetime. Specifying the format like this makes the parsing much faster since datetime doesn't need to try and interpret the format on its own, which is much more expensive computationally. Here, we use the strptime() method, which accepts two arguments: Running it will print the date, time, and date-time: If our input string to create a datetime object is in the same ISO 8601 format or if you know the format you'll be receiving upfront, we can easily parse it to a datetime object: import datetimeĭate_time_str = ' 10:27:03.929149' # strptime(input_string, input_format)ĭate_time_obj = (date_time_str, '%Y-%m-%d %H:%M:%S.%f') When no custom formatting is given, the default string format is used, i.e. Running this code would result in: Current date/time: 10:27:03.929149 The date object holds the date, time holds the time, and datetime holds both date and time! import datetime The datetime module consists of three different object types: date, time, and datetime. In this guide - we'll take a look at how to convert a string date/time into a datetime object in Python, using the built-in datetime module, but also third-party modules such as dateutil, arrow and Maya, accounting for time zones. One of the most common sources of string-formatted datetimes are REST APIs that return agnostic strings, that we can then convert to other formats.Īdditionally - time zones are a common headache when it comes to working with datetime objects, so we'll need to think about that while converting too. ![]() However, to work with these dates and times in an arithmetic fashion (such as calculating time differences, adding or removing time, etc.) - we need to convert them to a datetime object. This code demonstrates how to convert a string to a datetime object and associate it with timezone information in Python.Data can be represented in various forms - and a convenient way to represent dates and times are strings. Here is a full code: from datetime import datetime, timezone, timedelta ![]() If the string already includes timezone information, you can parse it directly:ĭate_string_with_timezone = " 15:30:20+05:30"įormat_string_with_timezone = "%Y-%m-%d %H:%M:%S%z"ĭatetime_with_timezone = datetime.strptime(date_string_with_timezone, format_string_with_timezone).Offset = timezone(timedelta(hours=5, minutes=30))ĭatetime_with_offset = datetime_object.replace(tzinfo=offset) # Associating a timezone with an offset (e.g., UTC+5:30) Here’s how you can do it:ĭatetime_in_utc = datetime_object.replace(tzinfo=timezone.utc) To associate a timezone manually, use the replace method to attach a timezone. If not, you can associate a timezone manually. If the string you’re parsing includes timezone information, Python will automatically parse this as well. ![]() strptime stands for “string parse time”, and it requires two arguments: the string and its format.ĭatetime_object = datetime.strptime(date_string, format_string)
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