Book Image

Mastering pandas - Second Edition

By : Ashish Kumar
Book Image

Mastering pandas - Second Edition

By: Ashish Kumar

Overview of this book

pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process.
Table of Contents (21 chapters)
Free Chapter
1
Section 1: Overview of Data Analysis and pandas
4
Section 2: Data Structures and I/O in pandas
7
Section 3: Mastering Different Data Operations in pandas
12
Section 4: Going a Step Beyond with pandas

Command line tricks for pandas

The command line is an important arsenal for pandas users. The command line can be used as an efficient and faster but tedious-to-use complement/supplement to pandas. Many of the data operations, like breaking a huge file into multiple chunks, cleaning a data file of unsupported characters, and so on, can be performed in the command line before feeding the data to pandas.

The head function of pandas is extremely useful to quickly assess the data. A command line function for head makes this option even more useful:

# Get the first 10 rows
$ head myData.csv

# Get the first 5 rows
$ head -n 5 myData.csv

# Get 100 bytes of data
$ head -c 100 myData.csv

The translate (tr) function packs within it the ability to replace characters. The following command converts all uppercase characters in a text file to lowercase characters:

$ cat upper.txt | tr "[:upper...