From the course: Data Analysis with Python and Pandas

Unlock this course with a free trial

Join today to access over 25,300 courses taught by industry experts.

Date and time parts

Date and time parts

From the course: Data Analysis with Python and Pandas

Start my 1-month free trial Buy for my team

Date and time parts

“

- [Instructor] So as we just saw, we can extract datetime components as a string using the string format time method. Generally speaking, what we want to do when we want to extract time parts, is use the dedicated datetime accessors. So we've seen several examples of this throughout the course. A lot of these times the values within our datetime service, create anchors for aggregation and just help us get more layers to an analysis. And so if you want to extract just the date portion of the date time, we just need to specify dates.DT.date. This will return the date portion of our date as an object. To return the year, we can specify dates.DT.year. Note this returns in integer. Our month also returns in integer. So we have dates.DT.month. And finally, we could also return things like the day of week. A lot of the times our day of week, you know, Monday, Tuesday, Wednesday, is going to be a more interesting layer for analysis than the calendar day of week. And so what we're about to…

Contents