Applying functions in Pandas
Need to perform a custom operation on your Pandas series or data frame? In this class, I’ll show you the advanced methods and techniques you need to apply your own functions, and thus get precisely the results you need.
What you should know
Course Content
Course length
2 hours
Number of lessons
1
Training materials
1 Jupyter notebook
Coding exercises
3
About the Course
Pandas comes with a large number of methods that can manipulate your data in all sorts of ways. But what if you need to do something special? Well, then you need to apply a function — often an anonymous function — to your series or data frame.
Once you can apply functions to Pandas data structures, there’s no limit to what you can do with your data!
In this two-hour live course, I’ll show when we might want to apply functions, and the differences between the seemingly similar techniques that Pandas offers.
What you’ll learn
- Other ways to apply functions
- Functions as first-class objects
- Named functions vs. lambda
- map
- apply
- applymap
- transform
Instructor
This course, like all others on LernerPython.com, is taught by Reuven Lerner.
Pricing
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- Everything in Lerner Python Level
- Unlimited access to NumPy, Pandas, and SQL courses
- Pandas office hours and private lectures
- Bamboo Weekly Subscription ($100 Annual Value)