Reader small image

You're reading from  Python Data Visualization Cookbook

Product typeBook
Published inNov 2013
Reading LevelIntermediate
PublisherPackt
ISBN-139781782163367
Edition1st Edition
Languages
Right arrow
Author (1)
Igor Milovanovic
Igor Milovanovic
author image
Igor Milovanovic

Igor Milovanović is an experienced developer, with strong background in Linux system knowledge and software engineering education. He is skilled in building scalable data-driven distributed software rich systems. An evangelist for high-quality systems design, he has a strong interest in software architecture and development methodologies. Igor is always committed to advocating methodologies that promote high-quality software, such as test-driven development, one-step builds, and continuous integration. He also possesses solid knowledge of product development. With field experience and official training, he is capable of transferring knowledge and communication flow from business to developers and vice versa. Igor is most grateful to his girlfriend for letting him spend hours on work instead with her and being an avid listener to his endless book monologues. He thanks his brother for being the strongest supporter. He is also thankful to his parents for letting him develop in various ways to become a person he is today.
Read more about Igor Milovanovic

Right arrow

Creating a stem plot


A two-dimensional stem plot displays data as lines extending from a baseline along the x axis. A circle (the default) or other marker, whose y axis represents the data value, terminates each stem.

In this recipe we will be discussing how to create a stem plot.

Do not confuse stem with stem and leaf plots, which is a method of representing data by separating the last important digit of values as leaves and higher order values as stems.

Getting ready

For this kind of plot we want to use a sequence of discrete data, where ordinary line plots will not make sense anyway.

Plot discrete sequences as stems, where data values are represented as markers at the end of each stem. Stems extend from the baseline (usually at y = 0) to the data point value.

How to do it...

We will use matplotlib to plot stem plots using the stem() function. This function can use just a series of y values when x values are generated as a simple sequence from 0 to len(y) - 1. If we provide the stem() function...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Python Data Visualization Cookbook
Published in: Nov 2013Publisher: PacktISBN-13: 9781782163367

Author (1)

author image
Igor Milovanovic

Igor Milovanović is an experienced developer, with strong background in Linux system knowledge and software engineering education. He is skilled in building scalable data-driven distributed software rich systems. An evangelist for high-quality systems design, he has a strong interest in software architecture and development methodologies. Igor is always committed to advocating methodologies that promote high-quality software, such as test-driven development, one-step builds, and continuous integration. He also possesses solid knowledge of product development. With field experience and official training, he is capable of transferring knowledge and communication flow from business to developers and vice versa. Igor is most grateful to his girlfriend for letting him spend hours on work instead with her and being an avid listener to his endless book monologues. He thanks his brother for being the strongest supporter. He is also thankful to his parents for letting him develop in various ways to become a person he is today.
Read more about Igor Milovanovic