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Easy datetime manipulation with the pandas to_datetime() function.
It seems like no matter what (programming) language you use, there are nuances when it comes to working with date and/or datetime values. Nevertheless, dates are super important. A lot hinges on date and time values. For instance, it is paramount that my employer and I both are conscious of the days and hours I work. Be it business-related or centered around life, we always tend to keep the time so to speak. Pandas has a function that provides quite a bit of useful functionality when working with datetime values. Inspired by a great video where I learned about this function, this post will cover several basic examples of its use. As always, read and learn with me…
OS, Database, and software used:
- OpenSuse Leap 15.0
- Python 3.7.2
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To start, I must give credit where credit is due. I learned so much from this fantastic pandas video. Several of the examples that follow are inspired or derived from it, applying the concepts to my own data sources. Be sure and check it out!
