Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Arrow left icon
Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
Arrow right icon
View More author details
Toc

Introduction to pyplot

Now, we will start using matplotlib with the pyplot interface. The topic that we will cover is the pyplot interface and some examples

In our Jupyter Notebook, the first thing that we notice is that we have a command that includes matplotlib inline with the % sign as shown in the following code block:

%matplotlib inline

This is basically the way we tell the Jupyter Notebook that we want to see the plots in the notebook. When we don't use this command and execute this line, we see that the plot will appear in a different window.

Pyplot is basically a collection of command style functions that make matplotlib work similar to MATLAB. The idea is that we have a collection of functions and each function makes some changes to a figure, and this figure is considered to be the current figure. So every function does something to a figure; for instance, we can...

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