From the course: Python Functions for Data Science
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Modify pandas objects - Python Tutorial
From the course: Python Functions for Data Science
Modify pandas objects
- [Instructor] Oftentimes, when working with pandas objects, you'll want to make changes to the pandas objects to suit the needs of your task. There are a lot of ways to do this. In this video, I'll be highlighting some of the main functions that are used to modify pandas objects. Let's say that I have a variable named Grades, containing a pandas data frame, and the data frame consists of students scores across five exams. I've displayed grades here, as you may have noticed, the grade column has missing values. Note that NaN denotes a missing value. Let's say that I want to fill the missing values in the grade column with zeros, I can use the fillna function, and it would look like this. I've displayed grades now and as you can see, the NaNs are gone and have been replaced with zeros. Next, say I want to drop the student ID column from the grades data frame, to do this I can use the drop function. It would look…
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