Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
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 Implement Python packages from data manipulation to processing

Arrow left icon
Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789530797
Length 168 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Curtis Miller Curtis Miller
Author Profile Icon Curtis Miller
Curtis Miller
Arrow right icon
View More author details
Toc

Creating NumPy arrays

Now that we have discussed NumPy data types and have been briefly introduced to NumPy arrays, let's talk about how we can create NumPy arrays. In this section, we will create NumPy arrays using various functions. There are functions that create what are known as empty ndarray; functions for creating ndarray filled with 0s, 1s, or random numbers; and functions for creating ndarray using data. We will discuss all of these, along with saving and loading NumPy arrays from disk. There are a few ways to create arrays. One way is to use the array function, where we give an iterable object or a list of iterable objects, from which an array will be generated.

We will do this using lists of lists, but these could be lists of tuples, tuples of tuples, or even other arrays. There are ways to automatically create arrays filled with data as well. For example...

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 $19.99/month. Cancel anytime
Banner background image