Pandas Cookbook
Pandas is one of the most powerful,
fl exible, and effi cient scientifi c computing
packages in Python. With this book,
you will explore data in pandas through
dozens of practice problems with detailed
solutions in iPython notebooks.
This book will provide you with clean, clear
recipes, and solutions that explain how to
handle common data manipulation and
scientifi c computing tasks with pandas.
You will work with different types of
datasets, and perform data manipulation
and data wrangling effectively. You will
explore the power of pandas DataFrames
and fi nd out about boolean and multi-
indexing. Tasks related to statistical
and time series computations, and how
to implement them in fi nancial and
scientifi c applications are also covered in
this book.
By the end of this book, you will have
all the knowledge you need to master
pandas, and perform fast and accurate
scientifi c computing.
Things you will learn:
• Master the fundamentals of pandas to
quickly begin exploring any dataset
• Isolate any subset of data by properly
selecting and querying the data
• Split data into independent groups
before applying aggregations and
transformations to each group
• Restructure data into a tidy form
to make data analysis and
visualization easier
• Prepare messy real-world datasets
for machine learning
• Combine and merge data from
different sources through pandas
SQL-like operations
• Utilize pandas unparalleled time
series functionality
• Create beautiful and insightful
visualizations through pandas direct
hooks to matplotlib and seaborn
www.packtpub.com
Pandas Cookbook
Theodore Petrou
Recipes for Scientifi c Computing, Time Series Analysis
and Data Visualization using Python
Cookbook
Pandas
Theodore Petrou
剩余533页未读，继续阅读
评论1