Matplotlib for Python Developers: Effective techniques for data visualization with Python [2 ed.] 9781788625173, 5019633101539, 178862517X

Table of contents :
Cover
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Table of Contents
Preface
Chapter 1: Introduction to Matplotlib
What is Matplotlib?
Merits of Matplotlib
Easy to use
Diverse plot types
Hackable to the core (only when you want)
Open source and community support
What's new in Matplotlib 2.x?
Improved functionality and performance
Improved color conversion API and RGBA support
Improved image support
Faster text rendering
Change in the default animation codec
Changes in default styles
Matplotlib website and online documentation. Output formats and backends Static output formats
Raster images
Vector images
Setting up Matplotlib
Installing Python
Python installation for Windows
Python installation for macOS
Python installation for Linux
Installing Matplotlib
About the dependencies
Installing the pip Python package manager
Installing Matplotlib with pip
Setting up Jupyter Notebook
Starting a Jupyter Notebook session
Running Jupyter Notebook on a remote server
Editing and running code
Manipulating notebook kernel and cells
Embed your Matplotlib plots
Documenting in Markdown
Save your hard work! Interactive navigation toolbarConfiguring Matplotlib
Configuring within Python code
Reverting to default settings
Global setting via configuration rc file
Finding the rc configuration file
Editing the rc configuration file
Summary
Chapter 3: Decorating Graphs with Plot Styles and Types
Controlling the colors
Default color cycle
Single-lettered abbreviations for basic colors
Standard HTML color names
RGB or RGBA color code
Hexadecimal color code
Depth of grayscale
Colormaps
Creating custom colormaps
Line and marker styles
Marker styles
Choosing the shape of markers. Using custom characters as markersAdjusting marker sizes and colors
Fine-tuning marker styles with keyword arguments
Line styles
Color
Line thickness
Dash patterns
Designing a custom dash style
Cap styles
Spines
More native Matplotlib plot types
Choosing the right plot
Histogram
Bar plot
Setting bar plot properties
Drawing bar plots with error bars using multivariate data
Mean-and-error plots
Pie chart
Polar chart
Controlling radial and angular grids
Text and annotations
Adding text annotations
Font
Mathematical notations
Mathtext
LaTeX support
External text renderer.

Polecaj historie

MATPLOTLIB FOR PYTHON DEVELOPERS - : effective techniques for data visualization with python. [2 ed.] 9781788625173, 178862517X

2,117 424 6MB Read more

Matplotlib for Storytellers: Python Data Visualization

This book is written for frustrated and reluctant matplotlib users who care about crafting good data visuals. Matplotlib

230 106 10MB Read more

Matplotlib for Python Developers 9781847197900, 1847197906

Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis,

847 112 11MB Read more

Scientific Visualization: Python + Matplotlib [2] 9782957990108

The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versat

495 143 99MB Read more

Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh 9781789135404, 9781788625173, 9781849513265, 1789135400

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key FeaturesA step by ste

157 103 9MB Read more

Learning Python data visualization

"This video course is a beginner’s introduction to data visualization, and the techniques and libraries which can b

2,469 487 15MB Read more

Python for Developers: Learn to Develop Efficient Programs using Python

Master python programming language in easy steps Key Features ● Start from basics of Python Control statement, loop stru

166 93 Read more

Python Unit Test Automation: Practical Techniques for Python Developers and Testers 9781484226773, 1484226771

Quickly learn how to automate unit testing of Python 3 code with Python 3 automation libraries, such as doctest, unittes

2,139 272 2MB Read more

Hands-On Blockchain for Python Developers 9781788624640

997 131 11MB Read more

Python 3 and Data Visualization 9781683929468

Python 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data vi

224 98 8MB Read more