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Numerical Computing with Python

You're reading from   Numerical Computing with Python Harness the power of Python to analyze and find hidden patterns in the data

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789953633
Length 682 pages
Edition 1st Edition
Languages
Concepts
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Authors (5):
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Pratap Dangeti Pratap Dangeti
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Pratap Dangeti
Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
Allen Yu Allen Yu
Author Profile Icon Allen Yu
Allen Yu
Aldrin Yim Aldrin Yim
Author Profile Icon Aldrin Yim
Aldrin Yim
Claire Chung Claire Chung
Author Profile Icon Claire Chung
Claire Chung
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Table of Contents (21) Chapters Close

Title Page
Contributors
About Packt
Preface
1. Journey from Statistics to Machine Learning FREE CHAPTER 2. Tree-Based Machine Learning Models 3. K-Nearest Neighbors and Naive Bayes 4. Unsupervised Learning 5. Reinforcement Learning 6. Hello Plotting World! 7. Visualizing Online Data 8. Visualizing Multivariate Data 9. Adding Interactivity and Animating Plots 10. Selecting Subsets of Data 11. Boolean Indexing 12. Index Alignment 13. Grouping for Aggregation, Filtration, and Transformation 14. Restructuring Data into a Tidy Form 15. Combining Pandas Objects 1. Other Books You May Enjoy Index

Hello Matplotlib!


Welcome to the world of Matplotlib 2.0! Follow our simple example in the chapter and draw your first "Hello world" plot.

What is Matplotlib?

Matplotlib is a versatile Python library that generates plots for data visualization. With the numerous plot types and refined styling options available, it works well for creating professional figures for presentations and scientific publications. Matplotlib provides a simple way to produce figures to suit different purposes, from slideshows, high-quality poster printing, and animations to web-based interactive plots. Besides typical 2D plots, basic 3D plotting is also supported.

On the development side, the hierarchical class structure and object-oriented plotting interface of Matplotlib make the plotting process intuitive and systematic. While Matplotlib provides a native graphical user interface for real-time interaction, it can also be easily integrated into popular IPython-based interactive development environments, such as Jupyter...

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