Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Data Analysis with NumPy and Pandas

You're reading from  Hands-On Data Analysis with NumPy and Pandas

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781789530797
Pages 168 pages
Edition 1st Edition
Languages
Author (1):
Curtis Miller Curtis Miller
Profile icon Curtis Miller
Toc

Employing array methods and functions


We will now discuss the use of NumPy array methods and functions. In this section, we will look at common ndarray functions and methods. These features allow you to perform common tasks using a clean, intuitive syntax, going beyond the notion of Pythonic code.

Array methods

NumPy ndarray functions include methods that facilitate common tasks, such as finding the mean of a dataset or multiple means of multiple datasets. We can sort array rows and columns, find mathematical and statistical measures, and much more. There are so many functions that do so many things! I won't list them all. In the following, we see the functions needed for common administrative tasks, such as interpreting arrays as lists or sorting array contents:

Next, we see common statistical and mathematical methods, such as finding the mean or sum of array contents:

We also have methods for arrays of Boolean values:

Let's see some of these in a Notebook. Import NumPy and create an array of...

lock icon The rest of the chapter is locked
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 $15.99/month. Cancel anytime