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You're reading from  Python Data Visualization Cookbook

Product typeBook
Published inNov 2013
Reading LevelIntermediate
PublisherPackt
ISBN-139781782163367
Edition1st Edition
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Author (1)
Igor Milovanovic
Igor Milovanovic
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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

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Making bar charts with error bars


In this recipe, we will show how to create bar charts and how to draw error bars.

Getting ready

To visualize uncertainty of measurement in our dataset or to indicate the error, we can use error bars. Error bars can easily give an idea of how error free the dataset is. They can show one standard deviation, one standard error, or 95 percent confidence interval. There is no standard here, so always explicitly state what values (errors) error bars display. Most papers in the experimental sciences should contain error bars to present accuracy of the data.

How to do it...

Even though just two parameters are mandatory—left and height— we often want to use more than that. Here are some parameters we can use:

  • width: This gives the width of the bars. The default value is 0.8.

  • bottom: If bottom is specified, the value is added to the height. The default is None.

  • edgecolor: This gives the color of the bar edges.

  • ecolor: This specifies the color of any error bar.

  • linewidth...

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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