Chapter 4
A Deep Dive into Data Wrangling with Python
Learning Objectives
By the end of this chapter, you will be able to:
- Perform subsetting, filtering, and grouping on pandas DataFrames
- Apply Boolean filtering and indexing from a DataFrame to choose specific elements
- Perform JOIN operations in pandas that are analogous to the SQL command
- Identify missing or corrupted data and choose to drop or apply imputation techniques on missing or corrupted data
In this chapter, we will learn about pandas DataFrames in detail.
Introduction
In this chapter, we will learn about several advanced operations involving pandas DataFrames and NumPy arrays. On completing the detailed activity for this chapter, you will have handled real-life datasets and ...
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