Обкладинка - м"яка

Рік видання - 2021

Кількість сторінок - 317

Папір - білий, офсет

Learn the core aspects of NumPy, Matplotlib, and Pandas, and use them to write programs with Python 3. This book focuses heavily on various data visualization techniques and will help you acquire expert-level knowledge of working with Matplotlib, a MATLAB-style plotting library for Python programming language that provides an object-oriented API for embedding plots into applications.

You'll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, you'll explore NumPy and ndarray data structures, creation routines, and data visualization. You'll examine useful concepts related to style sheets, legends, and layouts, followed by line, bar, and scatter plots. Chapters then cover recipes of histograms, contours, streamplots, and heatmaps, and how to visualize images and audio with pie and polar charts.

Moving forward, you'll learn how to visualize with pcolor, pcolormesh, and colorbar, and how to visualize in 3D in Matplotlib, create simple animations, and embed Matplotlib with different frameworks. The concluding chapters cover how to visualize data with Pandas and Matplotlib, Seaborn, and how to work with the real-life data and visualize it. After reading

Hands-on Matplotlib

you'll be proficient with Matplotlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas.

What You'll Learn

Understand Data Visualization and Python using Matplotlib

Review the fundamental data structures in NumPy and Pandas

Work with 3D plotting, visualizations, and animations

Visualize images and audio data

Who This Book Is For

Data scientists, machine learning engineers and software professionals with basic programming skills.

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