PACKT Matplotlib Plotting Cookbook 2014

Content: Cover
 Copyright
 Credits
 About the Author
 About the Reviewers
 www.PacktPub.com
 Table of Contents
 Preface
 Chapter 1: First Steps
 Introduction
 Installing matplotlib
 Plotting one curve
 Using NumPy
 Plotting multiple curves
 Plotting curves from file data
 Plotting points
 Plotting bar charts
 Plotting multiple bar charts
 Plotting stacked bar charts
 Plotting back-to-back bar charts
 Plotting pie charts
 Plotting histograms
 Plotting boxplots
 Plotting triangulations
 Chapter 2: Customizing the Color and Styles
 Introduction
 Defining your own colors. Using custom colors for scatter plotsUsing custom colors for bar charts
 Using custom colors for pie charts
 Using custom colors for boxplots
 Using colormaps for scatter plots
 Using colormaps for bar charts
 Controlling line pattern and thickness
 Controlling a fill pattern
 Controlling a marker's style
 Controlling a marker's size
 Creating your own markers
 Getting more control over markers
 Creating your own color scheme
 Chapter 3: Working with Annotations
 Introduction
 Adding a title
 Using LaTeX-style notations
 Adding a label to each axis
 Adding text
 Adding arrows
 Adding a legend. Adding a gridAdding lines
 Adding shapes
 Controlling ticks' spacing
 Controlling ticks labeling
 Chapter 4: Working with Figures
 Introduction
 Compositing multiple figures
 Scaling both axes equally
 Setting an axis range
 Setting the aspect ratio
 Inserting subfigures
 Using a logarithmic scale
 Using polar coordinates
 Chapter 5: Working with a File Output
 Introduction
 Generating a PNG picture file
 Handling transparency
 Controlling the output resolution
 Generating PDF or SVG documents
 Handling multiple-page PDF documents
 Chapter 6: Working with Maps
 Introduction. Visualizing the content of a 2D arrayAdding a colormap legend to a figure
 Visualizing nonuniform 2D data
 Visualizing a 2D scalar field
 Visualizing contour lines
 Visualizing a 2D vector field
 Visualizing the streamlines of a 2D vector field
 Chapter 7: Working with 3D Figures
 Introduction
 Creating 3D scatter plots
 Creating 3D curve plots
 Plotting a scalar field in 3D
 Plotting a parametric 3D surface
 Embedding 2D figures in a 3D figure
 Creating a 3D bar plot
 Chapter 8: User Interface
 Introduction
 Making a user-controllable plot
 Integrating a plot to a Tkinter user interface. Integrating a plot to wxWidgets user interfaceIntegrating a plot to GTK user interface
 Integrating a plot in a Pyglet application
 Index.