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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
September 2024
Intermediate to advanced content levelIntermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_4

4. Plotting and Visualization

Robert Johansson1  
(1)
Urayasu-shi, Chiba, Japan
 

Visualization is a universal tool for investigating problems and communicating the results of computational studies. It is hardly an exaggeration to say that the end product of nearly all computations—numeric or symbolic—is a plot or a graph. When visualized in a graphical form, knowledge and insights can be easily gained from computational results. Visualization is a tremendously important part of the workflow in all fields of computational studies.

There are many high-quality visualization libraries in the ...

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Publisher Resources

ISBN: 9798868804137Purchase LinkPublisher Website