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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Plotting extrapolated data using curve fitting


While plotting the CSV values, we have seen that there were some columns representing predictions of the world population in the coming years. We'd like to show how to obtain such predictions using the mathematical process of extrapolation with the help of curve fitting.

Curve fitting is the process of constructing a curve (a mathematical function) that better fits to a series of data points.

This process is related to other two concepts:

  • interpolation: A method of constructing new data points within the range of a known set of points

  • extrapolation: A method of constructing new data points outside a known set of points

The results of extrapolation are subject to a greater degree of uncertainty and are influenced a lot by the fitting function that is used.

So it works this way:

  1. 1. First, a known set of measures is passed to the curve fitting procedure that computes a function to approximate these values

  2. 2. With this function, we can compute additional...

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83
Tech Concepts
36
Programming languages
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