August 2016
Beginner to intermediate
352 pages
9h 20m
English
Content preview from Foundations for Analytics with Python
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 6. Figures and Plots
Creating figures and plots is an important step in many analytics projects, usually part of the exploratory data analysis (EDA) phase at the beginning of a project or the reporting phase, where you make your data analysis useful to others. Data visualization enables you to see your variables’ distributions, to see the relationships between your variables, and to check your modeling assumptions.
There are several plotting packages for Python, including matplotlib, pandas, ggplot, and seaborn. Because matplotlib is the most established package—and provides some of the underlying plotting concepts and syntax for the pandas and seaborn packages—we’ll cover it first. Then we’ll see some examples of how the other packages either simplify the plotting syntax or provide additional functionality.
matplotlib
matplotlib is a plotting package designed to create publication-quality figures. It has functions for creating common statistical graphs, including bar plots, box plots, line plots, scatter plots, and histograms. It also has add-in toolkits such as basemap and cartopy for mapping and mplot3d for 3D plotting.
matplotlib provides functions for customizing each component of a figure. For example, it enables you to specify the shape and size of the figure, the limits and scales of the x- and y-axes, the tick marks and labels of the x- and y-axes, the legend, and the title for the figure. You can learn more about customizing figures by perusing the matplotlib ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.