Python Tutorials - Herong's Tutorial Examples

∟pandas - Data Analysis and Manipulation

This chapter provides introductions and tutorials on 'pandas', a powerful Python data analysis toolkit. Topics include installing 'pandas', introduction of the 'pandas.DataFrame' class.

What Is 'pandas'

pandas.DataFrame/pandas.core.frame.DataFrame - The Table Class

pandas.core.series.Series - The Column Class

File Input and Output for DataFrame

Takeaways:

• 'pandas' is a powerful Python data analysis toolkit that helps you to explore, clean, and manipulate your data.
• pandas.DataFrame is a class that represents a general 2D labeled, size-mutable tabular structure with potentially heterogeneously-typed columns.
• df[col_name][i] returns the data element of the given row and the given column of the DataFrame.

Table of Contents

 About This Book

 Running Python Code Online

 Python on macOS Computers

 Python on Linux Computers

 Built-in Data Types

 Variables, Operations and Expressions

 Statements - Execution Units

 Function Statement and Function Call

 Iterators, Generators and List Comprehensions

 Classes and Instances

 Modules and Module Files

 Packages and Package Directories

 "sys" and "os" Modules

 "pathlib" - Object-Oriented Filesystem Paths

 "pip" - Package Installer for Python

 SciPy.org - Python Libraries for Science

►pandas - Data Analysis and Manipulation

 Anaconda - Python Environment Manager

 Jupyter Notebook and JupyterLab

 References

 Full Version in PDF/EPUB

pandas - Data Analysis and Manipulation - Updated in 2023, by Herong Yang