Hands-on Matplotlib : learn plotting and visualizations with Python 3 / Ashwin Pajankar.

Format:

Book

Author/Creator:

Pajankar, Ashwin, author.

Language:

English

Subjects (All):

Python (Computer program language).

Information visualization.

Physical Description:

1 online resource (305 pages)

Place of Publication:

New York, New York : Apress Media LLC, [2022]

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.

Contents:

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

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

Chapter 4: Revisiting Matplotlib Visualizations

Single-Line Plots

Multiline Plots

Grid, Axes, and Labels

Colors, Styles, and Markers

Object-Oriented Plotting

Subplots

Chapter 5: Styles and Layouts

Styles

Layouts

Chapter 6: Lines, Bars, and Scatter Plots

Lines and Logs

Error Bars

Bar Graphs

Scatter Plot

Chapter 7: Histograms, Contours, and Stream Plots

Histograms

Contours

Visualizing Vectors with Stream Plots

Chapter 8: Image and Audio Visualization

Visualizing Images

Image Masking

Interpolation Methods

Audio Visualization

Audio Processing

Chapter 9: Pie and Polar Charts

Pie Charts.

Polar Charts

Chapter 10: Working with Colors

pcolor()

pcolormesh()

colorbar()

Chapter 11: 3D Visualizations in Matplotlib

Getting Ready

Plotting 3D Lines

3D Scatter Plots

3D Contours

Wireframes, Surfaces, and Sample Data

Quiver and Stem Plots

3D Volumes

Chapter 12: Animations with Matplotlib

Animation Basics

Celluloid Library

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

Chapter 14: Introduction to Pandas

Introduction to Pandas

Series in Pandas

Basic Operations on Series

Dataframe in Pandas

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

Reading Data from an Excel File

Reading Data from JSON

Reading Data from a Pickle File

Reading Data from the Web

Interacting with the Web API

Reading Data from a Relational Database Table

Reading Data from the Clipboard

Chapter 16: Visualizing Data with Pandas and Matplotlib

Simple Plots

Box Plots

Area Plots

Scatter Plots

Hexagonal Bin Plots

Pie Charts

Chapter 17: Introduction to Data Visualization with Seaborn

What Is Seaborn?

Plotting Statistical Relationships

Plotting Lines

Visualizing the Distribution of Data

Chapter 18: Visualizing Real-Life Data with Matplotlib and Seaborn

COVID-19 Pandemic Data

Fetching the Pandemic Data Programmatically.

Preparing the Data for Visualization

Creating Visualizations with Matplotlib and Seaborn

Creating Visualizations of Animal Disease Data

Index.

Notes:

Description based on print version record.

Includes index.

Other Format:

Print version: Pajankar, Ashwin Hands-On Matplotlib

ISBN:

9781523150939

1523150939

9781484274101

1484274105

OCLC:

1287136070

Publisher Number:

9781484274095

9781484274101