matplotlib Plotting Cookbook

Integrating a plot in a Pyglet application

Integrating a plot to a GTK user interface

Integrating a plot to a wxWidgets user interface

Integrating a plot to a Tkinter user interface

Making a user-controllable plot

Introduction

Chapter 8. User Interface

Creating a 3D bar plot

Embedding 2D figures in a 3D figure

Plotting a parametric 3D surface

Plotting a scalar field in 3D

Creating 3D curve plots

Creating 3D scatter plots

Introduction

Chapter 7. Working with 3D Figures

Visualizing the streamlines of a 2D vector field

Visualizing a 2D vector field

Visualizing contour lines

Visualizing a 2D scalar field

Visualizing nonuniform 2D data

Adding a colormap legend to a figure

Visualizing the content of a 2D array

Introduction

Chapter 6. Working with Maps

Handling multiple-page PDF documents

Generating PDF or SVG documents

Controlling the output resolution

Handling transparency

Generating a PNG picture file

Introduction

Chapter 5. Working with a File Output

Using polar coordinates

Using a logarithmic scale

Inserting subfigures

Setting the aspect ratio

Setting an axis range

Scaling both the axes equally

Compositing multiple figures

Introduction

Chapter 4. Working with Figures

Controlling tick labeling

Controlling tick spacing

Adding shapes

Adding lines

Adding a grid

Adding a legend

Adding arrows

Adding text

Adding a label to each axis

Using LaTeX-style notations

Adding a title

Introduction

Chapter 3. Working with Annotations

Creating your own color scheme

Getting more control over markers

Creating your own markers

Controlling a marker's size

Controlling a marker's style

Controlling a fill pattern

Controlling a line pattern and thickness

Using colormaps for bar charts

Using colormaps for scatter plots

Using custom colors for boxplots

Using custom colors for pie charts

Using custom colors for bar charts

Using custom colors for scatter plots

Defining your own colors

Introduction

Chapter 2. Customizing the Color and Styles

Plotting triangulations

Plotting boxplots

Plotting histograms

Plotting pie charts

Plotting back-to-back bar charts

Plotting stacked bar charts

Plotting multiple bar charts

Plotting bar charts

Plotting points

Plotting curves from file data

Plotting multiple curves

Using NumPy

Plotting one curve

Installing matplotlib

Introduction

Chapter 1. First Steps

Customer support

Reader feedback

Conventions

Who this book is for

What you need for this book

What this book covers

Preface

Support files eBooks discount offers and more

www.PacktPub.com

About the Reviewers

About the Author

Credits

matplotlib Plotting Cookbook

coverpage

coverpage

matplotlib Plotting Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files eBooks discount offers and more

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

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 plots

Using 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 a 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 grid

Adding lines

Adding shapes

Controlling tick spacing

Controlling tick labeling

Chapter 4. Working with Figures

Introduction

Compositing multiple figures

Scaling both the 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 array

Adding 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 a wxWidgets user interface

Integrating a plot to a GTK user interface

Integrating a plot in a Pyglet application