Mastering Matplotlib 2.x - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mastering Matplotlib 2.x write by Benjamin Walter Keller. This book was released on 2018-11-29. Mastering Matplotlib 2.x available in PDF, EPUB and Kindle. Understand and build beautiful and advanced plots with Matplotlib and Python Key FeaturesPractical guide with hands-on examples to design interactive plotsAdvanced techniques to constructing complex plotsExplore 3D plotting and visualization using Jupyter NotebookBook Description In this book, you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. You’ll delve into niche plots and visualize ordinal and tabular data. In this book, you’ll be exploring 3D plotting, one of the best features when it comes to 3D data visualization, along with Jupyter Notebook, widgets, and creating movies for enhanced data representation. Geospatial plotting will also be explored. Finally, you’ll learn how to create interactive plots with the help of Jupyter. Learn expert techniques for effective data visualization using Matplotlib 3 and Python with our latest offering -- Matplotlib 3.0 Cookbook What you will learnDeal with non-trivial and unusual plotsUnderstanding Basemap methodsCustomize and represent data in 3D Construct Non-Cartesian and vector plotsDesign interactive plots using Jupyter NotebookMake movies for enhanced data representationWho this book is for This book is aimed at individuals who want to explore data visualization techniques. A basic knowledge of Matplotlib and Python is required.
Mastering matplotlib
Mastering matplotlib - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mastering matplotlib write by Duncan M. McGreggor. This book was released on 2015-06-29. Mastering matplotlib available in PDF, EPUB and Kindle. matplotlib is a Python plotting library that provides a large feature set for a multitude of platforms. Given the depth of the library's legacy and the variety of related open source projects, gaining expert knowledge can be a time-consuming and often confusing process. You'll begin your exciting journey learning about the skills that are necessary in leading technical teams for a visualization project or to become a matplotlib contributor. Supported by highly-detailed IPython Notebooks, this book takes you through the conceptual components underlying the library and then provides a detailed overview of its APIs. From there, you will learn about event handling and how to code for interactive plots. Next you will move on to customization techniques, local configuration of matplotib, and then deployments in Cloud environments. The adventure culminates in an exploration of big data visualization and matplotlib clustering.
Matplotlib 2.x Cookbook
Matplotlib 2.x Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Matplotlib 2.x Cookbook write by Srinivasa Poladi. This book was released on 2018. Matplotlib 2.x Cookbook available in PDF, EPUB and Kindle. Build attractive, insightful and powerful visualizations to derive quality insights from your data. About This Book A complete guide to mastering matplotlib 2.x for effective data visualization Customize basic plots to make sophisticated figures and deploy them in end-user applications Handy recipes to help you design different kinds of data visualizations using matplotlib - from simple bar charts to advanced 3D plots Who This Book Is For This book is for data analysts, data scientists, and Python Developers who are looking for quick recipes for a multitude of visualizations using Python. This book is ideal for those who want to build variations of interactive visualizations using the recipe-based approach. What You Will Learn Develop simple to advanced data visualizations in matplotlib Use pyplot API for quick development and deployment of different plots and charts Use Object Oriented API for maximum flexibility to customize your figures as required Develop Interactive Plots with animation and widgets easily Use maps for geographical plotting Enrich your visualizations using Embedded Texts and Mathematical Expressions Embed matplotlib plots into other graphical user interfaces used for developing applications Use toolkits such as axisartist, axes_grid1, cartopy extending base functionality of matplotlib In Detail Matplotlib provides a large library of customizable plots and a comprehensive set of backends. You can generate plots, add dimensions to them, and also make the plots interactive with just a few lines of code. This book is a head-first, hands-on journey into Matplotlib, the complete and definite plotting package for Python 3.7. With the help of this cookbook, you will be able to tackle any problem you might come across while designing attractive, insightful data visualizations using matplotlib. You will learn to develop different types of visualizations such as histograms, charts, bar plots and more to produce high-quality figures. You will be able to build sophisticated figures including 2D and 3D plots in just a few lines of code. Along with the basic plots, you will also learn to make professional scientific plots with highly detailed visualizations with an extensive recipe-based approach. With the help of this book, you will be able to make your plots interactive, which will give real-time insights and the information required to carry out advanced data analysis. By the end of this book, you will be able to create the highest qu ...
Matplotlib 2.x By Example
Matplotlib 2.x By Example - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Matplotlib 2.x By Example write by Allen Yu. This book was released on 2017-08-28. Matplotlib 2.x By Example available in PDF, EPUB and Kindle. Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create and customize live graphs, by adding style, color, font to make appealing graphs. A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits. Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more. Who This Book Is For This book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected. What You Will Learn Familiarize with the latest features in Matplotlib 2.x Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots and many more. Make clear and appealing figures for scientific publications. Create interactive charts and animation. Extend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn. Design intuitive infographics for effective storytelling. In Detail Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization. Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts. By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable. Style and approach Step by step comprehensive guide filled with real world examples.
Matplotlib for Python Developers
Matplotlib for Python Developers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Matplotlib for Python Developers write by Sandro Tosi. This book was released on 2009-11-09. Matplotlib for Python Developers available in PDF, EPUB and Kindle. This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading and understanding them is easy. All of the examples build gradually with code snippets, their explanations, and plot images where necessary with the complete code and output presented at the end. This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.
