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Preface 1
Chapter 1: Preparing Your Working Environment 5
Introduction 5
Installing matplotlib, NumPy, and SciPy 6
Installing virtualenv and virtualenvwrapper 8
Installing matplotlib on Mac OS X 10
Installing matplotlib on Windows 11
Installing Python Imaging Library (PIL) for image processing 12
Installing a requests module 14
Customizing matplotlib's parameters in code 14
Customizing matplotlib's parameters per project 16
Chapter 2: Knowing Your Data 19
Introduction 19
Importing data from CSV 20
Importing data from Microsoft Excel files 22
Importing data from fixed-width datafiles 25
Importing data from tab-delimited files 27
Importing data from a JSON resource 28
Exporting data to JSON, CSV, and Excel 31
Importing data from a database 36
Cleaning up data from outliers 40
Reading files in chunks 46
Reading streaming data sources 48
Importing image data into NumPy arrays 50
Generating controlled random datasets 56
Smoothing the noise in real-world data 64
Chapter 3: Drawing Your First Plots and Customizing Them 71
Introduction 72
Defining plot types – bar, line, and stacked charts 72
Drawing a simple sine and cosine plot 78
Defining axis lengths and limits 81
Defining plot line styles, properties, and format strings 84
Setting ticks, labels, and grids 89
Adding a legend and annotations 92
Moving spines to the center 95
Making histograms 96
Making bar charts with error bars 99
Making pie charts count 101
Plotting with filled areas 103
Drawing scatter plots with colored markers 105
Chapter 4: More Plots and Customizations 109
Introduction 109
Setting the transparency and size of axis labels 110
Adding a shadow to the chart line 113
Adding a data table to the figure 116
Using subplots 118
Customizing grids 121
Creating contour plots 125
Filling an under-plot area 128
Drawing polar plots 131
Visualizing the filesystem tree using a polar bar 134
Chapter 5: Making 3D Visualizations 139
Introduction 139
Creating 3D bars 139
Creating 3D histograms 143
Animating in matplotlib 146
Animating with OpenGL 150
Chapter 6: Plotting Charts with Images and Maps 157
Introduction 157
Processing images with PIL 158
Plotting with images 164
Displaying an image with other plots in the figure 168
Plotting data on a map using Basemap 172
Plotting data on a map using Google Map API 177
Generating CAPTCHA images 183
Chapter 7: Using Right Plots to Understand Data 189
Introduction 189
Understanding logarithmic plots 190
Understanding spectrograms 193
Creating a stem plot 198
Drawing streamlines of vector flow 201
Using colormaps 205
Using scatter plots and histograms 210
Plotting the cross-correlation between two variables 217
Importance of autocorrelation 220
Chapter 8: More on matplotlib Gems 225
Introduction 225
Drawing barbs 225
Making a box and a whisker plot 229
Making Gantt charts 232
Making errorbars 237
Making use of text and font properties 240
Rendering text with LaTeX 246
Understanding the difference between pyplot and OO API 250
Index 257
Python Data Visualization Cookbook.zip
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