Description: Hands-on Matplotlib by Ashwin Pajankar 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. Youll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, youll explore NumPy and ndarray data structures, creation routines, and data visualization. Youll 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, youll 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 youll be proficient with Matplotlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas. What Youll LearnUnderstand Data Visualization and Python using MatplotlibReview the fundamental data structures in NumPy and Pandas Work with 3D plotting, visualizations, and animationsVisualize images and audio dataWho This Book Is ForData scientists, machine learning engineers and software professionals with basic programming skills. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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. Youll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, youll explore NumPy and ndarray data structures, creation routines, and data visualization. Youll 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, youll 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 youll be proficient with Matplotlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas. You will: 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 Author Biography Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad, and has over 25 years of programming experience. He started his journey in programming and electronics with BASIC programming language and is now proficient in Assembly programming, C, C++, Java, Shell Scripting, and Python. Other technical experience includes single board computers such as Raspberry Pi and Banana Pro, and Arduino. Table of Contents Chapter 1: Getting Started with Python and Jupyter Notebook.- Chapter 2: Getting Started with NumPy.- Chapter 3 :NumPy Routines and Getting started with Matplotlib .- Chapter 4 : Revisiting Matplotlib Visualizations.- Chapter 5 : Styles and Layouts.- Chapter 6 : Line, Bar, and Scatter Plots.- Chapter 7 : Line, Bar, and Scatter Plots.- Chapter 8 :Image and Audio Visualization.- Chapter 9 : Pie and Polar Charts.- Chapter 10 : PColor, Pcolormesh, and Colorbar.- Chapter 11 : 3D Visualizations in Matplotlib.- Chapter 12 : Animations with Matplotlib.- Chapter 13 : More Recipes of Visualizations with Matplotlib.- Chapter 14 : Introduction to Pandas.- Chapter 15 : Data Acquisition.- Chapter 16 : Visualizing Data with Pandas and Matplotlib.- Chapter 17 : Introduction to Data Visualization with Seaborn.- Chapter 18 : Visualizing real-life Data with Matplotlib and Seaborn. Feature Explains and demonstrates various styles of visualizations (including 3D visualizations) Explains and demonstrates histograms, streamplots, and heatmaps Covers visualization of data stored in NumPy, Ndarrays and Pandas data frames Details ISBN1484274091 Author Ashwin Pajankar Short Title Hands-On Matplotlib Language English Year 2021 ISBN-10 1484274091 ISBN-13 9781484274095 Format Paperback Publisher APress Edition 1st Imprint APress Place of Publication Berkley Country of Publication United States Pages 299 Publication Date 2021-11-28 AU Release Date 2021-11-28 NZ Release Date 2021-11-28 US Release Date 2021-11-28 UK Release Date 2021-11-28 Illustrations 3 Illustrations, color; 229 Illustrations, black and white; XVIII, 299 p. 232 illus., 3 illus. in color. Subtitle Learn Plotting and Visualizations with Python 3 Edited by David Pedersen Birth 1945 Affiliation Georgia Institute of Technology Position Kranzberg Professor Qualifications SJ Edition Description 1st ed. 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ISBN-13: 9781484274095
Book Title: Hands-on Matplotlib
Item Height: 254 mm
Item Width: 178 mm
Author: Ashwin Pajankar
Publication Name: Hands-On Matplotlib: Learn Plotting and Visualizations with Python 3
Format: Paperback
Language: English
Publisher: Apress
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Number of Pages: 390 Pages