3 Useful Python Tricks To Work With Date — Time Data

Data Science with Python

Learn how to work with date and time data in Python using datetime module

Photo by Nathan Dumlao on Unsplash

Date-time data is one of the most common and time-consuming data types you’ll work with.

Whether doing a time-series analysis, preparing the data for a machine learning model, or simply doing an exploratory data analysis, you need to work with such date-time values present in the data.

Moreover, when you combine the data from multiple sources, the date-time data is present in different formats. And to maintain data consistency, you need to transform all the date-time values to a single/standard format and therefore you must know these techniques to work with them.

You must have spent at least five minutes searching for how to manipulate such date-time data. And that too every time you work with such date-time data. I ALWAYS SPEND TIME ON THIS!!

Therefore, in this article, I’m sharing 3 quick tricks to work with date-time data in Python, using which you can fulfill most of your date-time data processing. I recommend saving this story for your future quick reference.

In Python, you can use a variety of modules such as calendar, datetime, and time. Although each module is useful in distinct scenarios, I found the datetime module versatile as it offers methods to work with both — dates and time.

So, here you’ll learn more about this datetime module and how to efficiently use its methods to transform date-time data.

You can download a complete notebook with all these examples and other resources at the end of this read!

Before starting with the tips and tricks, let’s quickly review what the date-time values obtained from a datetime module look like.

You always get the current date and time using the datetime class within datetime module as shown below.

from datetime import datetime
current_time = datetime.now()

# Output
datetime.datetime(2023, 7, 8, 19, 40, 6, 832421)

Well, you can see the output doesn’t look like a date but simply looks like a set of…

Source link

Leave a Comment