Description
Let's say that you have dates and times in your DataFrame and you want to analyze your data by minute, month, or year. What should you do? In this video, I'll demonstrate how you can convert your data to "datetime" format, enabling you to access a ton of convenient attributes and perform datetime comparisons and mathematical operations.
This is video 25 of 30 in the series, Easier data analysis in Python with pandas. The notebook and datasets shown in the video are available on GitHub.