Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Learning Pandas

You're reading from   Learning Pandas Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

Arrow left icon
Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781783985128
Length 504 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. A Tour of pandas 2. Installing pandas FREE CHAPTER 3. NumPy for pandas 4. The pandas Series Object 5. The pandas DataFrame Object 6. Accessing Data 7. Tidying Up Your Data 8. Combining and Reshaping Data 9. Grouping and Aggregating Data 10. Time-series Data 11. Visualization 12. Applications to Finance Index

Plotting basics with pandas

The pandas library itself performs data manipulation. It does not provide data visualization capabilities itself. The visualization of data in pandas data structures is handed off by pandas to other robust visualization libraries that are part of the Python ecosystem, most commonly, matplotlib, which is what we will use in this chapter.

All of the visualizations and techniques covered in this chapter can be performed without pandas. These techniques are all available independently in matplotlib. pandas tightly integrates with matplotlib, and by doing this, it is very simple to go directly from pandas data to a matplotlib visualization without having to work with intermediate forms of data.

pandas does not draw the graphs, but it will tell matplotlib how to draw graphs using pandas data, taking care of many details on your behalf, such as automatically selecting Series for plots, labeling axes, creating legends, and defaulting color. Therefore, you often have to...

lock icon The rest of the chapter is locked
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Learning Pandas
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Modal Close icon
Modal Close icon