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001442970 001__ 1442970
001442970 003__ OCoLC
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001442970 019__ $$a1286794289$$a1286929259$$a1287136070$$a1290492414$$a1290679960
001442970 020__ $$a9781484274101$$q(electronic bk.)
001442970 020__ $$a1484274105$$q(electronic bk.)
001442970 020__ $$z1484274091
001442970 020__ $$z9781484274095
001442970 0247_ $$a10.1007/978-1-4842-7410-1$$2doi
001442970 0248_ $$a9781484274095
001442970 0248_ $$a9781484274101
001442970 035__ $$aSP(OCoLC)1286951830
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001442970 049__ $$aISEA
001442970 050_4 $$aQA76.73.P98$$bP35 2022
001442970 08204 $$a005.1/33$$223
001442970 1001_ $$aPajankar, Ashwin,$$eauthor.
001442970 24510 $$aHands-on Matplotlib :$$blearn 3D plotting, visualizations, and animations with Python 3 /$$cAshwin Pajankar.
001442970 264_1 $$a[California] :$$bApress,$$c[2022]
001442970 300__ $$a1 online resource
001442970 336__ $$atext$$btxt$$2rdacontent
001442970 337__ $$acomputer$$bc$$2rdamedia
001442970 338__ $$aonline resource$$bcr$$2rdacarrier
001442970 347__ $$atext file
001442970 500__ $$aIncludes index.
001442970 5058_ $$aIntro -- 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
001442970 5058_ $$aIntroducing Jupyter Notebook -- Setting Up Jupyter Notebook -- Running Code in Jupyter Notebook -- Anaconda -- Summary -- Chapter 2: Getting Started with NumPy -- NumPy and Ndarrays -- Indexing in Ndarrays -- Indexing in Ndarrays of More Than One Dimension -- Ndarray Properties -- NumPy Constants -- Slicing Ndarrays -- Summary -- Chapter 3: NumPy Routines and Getting Started with Matplotlib -- Routines for Creating Ndarrays -- Matplotlib -- Visualization with NumPy and Matplotlib -- Running the Matplotlib Program as a Script -- Summary -- Chapter 4: Revisiting Matplotlib Visualizations
001442970 5058_ $$aSingle-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
001442970 5058_ $$aAudio Processing -- Summary -- Chapter 9: Pie and Polar Charts -- Pie Charts -- Polar Charts -- Summary -- Chapter 10: Working with Colors -- pcolor() -- pcolormesh() -- colorbar() -- Summary -- Chapter 11: 3D Visualizations in Matplotlib -- Getting Ready -- Plotting 3D Lines -- 3D Scatter Plots -- 3D Contours -- Wireframes, Surfaces, and Sample Data -- Bar Graphs -- Quiver and Stem Plots -- 3D Volumes -- Summary -- Chapter 12: Animations with Matplotlib -- Animation Basics -- Celluloid Library -- Summary -- Chapter 13: More Visualizations with Matplotlib
001442970 5058_ $$aVisualizing 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
001442970 506__ $$aAccess limited to authorized users.
001442970 520__ $$aLearn 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.
001442970 542__ $$f© Copyright 2022 Ashwin Pajankar.$$g2022
001442970 588__ $$aDescription based on online resource; title from digital title page (viewed on February 16, 2022).
001442970 650_0 $$aPython (Computer program language)
001442970 650_0 $$aInformation visualization.
001442970 650_6 $$aPython (Langage de programmation)
001442970 650_6 $$aVisualisation de l'information.
001442970 655_0 $$aElectronic books.
001442970 77608 $$iPrint version: $$z1484274091$$z9781484274095$$w(OCoLC)1263865608
001442970 852__ $$bebk
001442970 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7410-1$$zOnline Access$$91397441.1
001442970 909CO $$ooai:library.usi.edu:1442970$$pGLOBAL_SET
001442970 980__ $$aBIB
001442970 980__ $$aEBOOK
001442970 982__ $$aEbook
001442970 983__ $$aOnline
001442970 994__ $$a92$$bISE