August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data ScienceBecome 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,
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Chapter 4. Making Sense of Data through Advanced Visualization
Visualization is a very integral part of data science. It helps in communicating a pattern or a relationship that cannot be seen by looking at raw data. It's easier for a person to remember a picture and recollect it as compared to lines of text. This holds true for data too.
In this chapter, we'll cover the following topics:
- Controlling the properties of a plot
- Combining multiple plots
- Styling your plots
- Creating various advanced visualizations
Controlling the line properties of a chart
There are many properties of a line that can be set, such as the color, dashes, and several others. There are essentially three ways of doing this. Let's take a simple line chart as an example:
>>> plt.plot([1,2,3,4], ...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,
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