Hands-on Matplotlib : learn 3D plotting, visualizations, and animations with Python 3 / Ashwin Pajankar.
Pajankar, Ashwin, author.
2022
QA76.73.P98 P35 2022
Available Online

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Title Hands-on Matplotlib : learn 3D plotting, visualizations, and animations with Python 3 / Ashwin Pajankar.
Author Pajankar, Ashwin, author.
ISBN 9781484274101 (electronic bk.)
1484274105 (electronic bk.)
1484274091
9781484274095
DOI https://doi.org/10.1007/978-1-4842-7410-1
Published [California] : Apress, [2022]
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-1-4842-7410-1 doi
9781484274095
9781484274101
Call Number QA76.73.P98 P35 2022
Dewey Decimal Classification 005.1/33
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Copyright Information © Copyright 2022 Ashwin Pajankar. 2022
Digital File Characteristics text file
Source of Description Description based on online resource; title from digital title page (viewed on February 16, 2022).
Available in Other Form Print version: 9781484274095
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Record Appears in Online Resources > Ebooks
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Intro
Table of Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Introduction to Python 3
Introducing the Python 3 Programming Language
History of the Python Programming Language
Python Enhancement Proposals
Philosophy of the Python Programming Language
Applications of Python
Installing Python on Various Platforms
Installing on a Windows Computer
Installing on Ubuntu/Debian Derivatives
Using Python Modes
Interactive Mode
Script Mode
Using Python IDEs
Exploring the Scientific Python Ecosystem

Introducing Jupyter Notebook
Setting Up Jupyter Notebook
Running Code in Jupyter Notebook
Anaconda
Summary
Chapter 2: Getting Started with NumPy
NumPy and Ndarrays
Indexing in Ndarrays
Indexing in Ndarrays of More Than One Dimension
Ndarray Properties
NumPy Constants
Slicing Ndarrays
Summary
Chapter 3: NumPy Routines and Getting Started with Matplotlib
Routines for Creating Ndarrays
Matplotlib
Visualization with NumPy and Matplotlib
Running the Matplotlib Program as a Script
Summary
Chapter 4: Revisiting Matplotlib Visualizations

Single-Line Plots
Multiline Plots
Grid, Axes, and Labels
Colors, Styles, and Markers
Object-Oriented Plotting
Subplots
Summary
Chapter 5: Styles and Layouts
Styles
Layouts
Summary
Chapter 6: Lines, Bars, and Scatter Plots
Lines and Logs
Error Bars
Bar Graphs
Scatter Plot
Summary
Chapter 7: Histograms, Contours, and Stream Plots
Histograms
Contours
Visualizing Vectors with Stream Plots
Summary
Chapter 8: Image and Audio Visualization
Visualizing Images
Image Masking
Interpolation Methods
Audio Visualization

Audio Processing
Summary
Chapter 9: Pie and Polar Charts
Pie Charts
Polar Charts
Summary
Chapter 10: Working with Colors
pcolor()
pcolormesh()
colorbar()
Summary
Chapter 11: 3D Visualizations in Matplotlib
Getting Ready
Plotting 3D Lines
3D Scatter Plots
3D Contours
Wireframes, Surfaces, and Sample Data
Bar Graphs
Quiver and Stem Plots
3D Volumes
Summary
Chapter 12: Animations with Matplotlib
Animation Basics
Celluloid Library
Summary
Chapter 13: More Visualizations with Matplotlib

Visualizing a Function as an Image and a Contour
3D Vignettes
Decorated Scatter Plots
Time Plots and Signals
Filled Plots
Step Plots
Hexbins
XKCD Style
Summary
Chapter 14: Introduction to Pandas
Introduction to Pandas
Series in Pandas
Basic Operations on Series
Dataframe in Pandas
Summary
Chapter 15: Data Acquisition
Plain-Text File Handling
Handling CSV Files with Python
Python and Excel
Writing and Reading Files with NumPy
Reading the Data from a CSV File with NumPy
Matplotlib CBook
Reading Data from a CSV

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