Abstract
Chapter 4 introduced the basics of NumPy. You learned how to install it and how to create ndarrays. In this chapter, we continue working with NumPy by looking at a few ndarray creation routines. We will also get started with the data visualization library of the scientific computing ecosystem, Matplotlib. We will use the NumPy ndarray creation routines to demonstrate visualizations with Matplotlib. This is a detailed chapter with emphasis on coding and visualizations. The following topics are covered in this chapter:
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© 2021 The Author(s), under exclusive license to APress Media, LLC , part of Springer Nature
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Pajankar, A. (2021). Data Visualization with NumPy and Matplotlib. In: Practical Python Data Visualization. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6455-3_5
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DOI: https://doi.org/10.1007/978-1-4842-6455-3_5
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6454-6
Online ISBN: 978-1-4842-6455-3
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