4. A Deep Dive into Data Wrangling with Python
Overview
This chapter will cover pandas DataFrames in depth, thus teaching you how to perform subsetting, filtering, and grouping on DataFrames. You will be able to apply Boolean filtering and indexing to a DataFrame to choose specific elements from it. Later on in the chapter, you will learn how to perform JOIN operations in pandas that are analogous to the SQL command. By the end of this chapter you will be able to apply imputation techniques to identify missing or corrupted data and choose to drop it.
