Contents
Chapter 1. Pandas Data frame basics
1.1 Introduction
1.2 Concept map
1.3 Objectives
1.4 Loading your first data set
1.5 Looking at columns, rows, and cells
1.6 Grouped and aggregated calculations
1.7 Basic plot
1.8 Conclusion
Chapter 2. Pandas data structures
2.1 Introduction
2.2 Concept map
2.3 Objectives
2.4 Creating your own data
2.5 The Series
2.6 The Data Frame
2.7 Making changes to Series and Data Frames
2.8 Exporting and importing data
2.9 Conclusion
Chapter 3. Introduction to Plotting
3.4 matplotlib
Chapter 4. Data Assembly
4.1 Introduction
4.2 Concept map
4.3 Objectives
4.4 Concatenation
4.6 Summary
Chapter 5. Missing Data
5.1 Introduction
Concept map
Objectives
5.2 What is a NaN value
5.3 Where do missing values come from?
5.3.3 User input values
5.4 Working with missing data
Summary
Chapter 6. Tidy Data by Reshaping
6.1 Introduction
Concept Map
6.2 Columns contain values, not variables
6.3 Columns contain multiple variables
6.4 Variables in both rows and columns
6.5 Multiple Observational Units in a table (Normalization)
6.6 Observational units across multiple tables
6.7 Summary
