Python Data Visualization Cookbook -- Table of Contents -- Python Data Visualization Cookbook -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. Preparing Your Working Environment -- Introduction -- Installing matplotlib, NumPy, and SciPy -- Getting ready -- How to do it... -- How it works... -- There's more... -- Installing virtualenv and virtualenvwrapper -- Getting ready -- How to do it... -- Installing matplotlib on Mac OS X -- Getting ready -- How to do it... -- Installing matplotlib on Windows -- Getting ready -- How to do it... -- There's more... -- Installing Python Imaging Library (PIL) for image processing -- How to do it... -- How it works... -- There's more... -- Installing a requests module -- How to do it... -- How it works... -- Customizing matplotlib's parameters in code -- Getting ready -- How to do it... -- How it works... -- Customizing matplotlib's parameters per project -- Getting ready -- How to do it... -- How it works... -- There's more... -- 2. Knowing Your Data -- Introduction -- Importing data from CSV -- Getting ready -- How to do it... -- How it works... -- There's more... -- Importing data from Microsoft Excel files -- Getting ready -- How to do it... -- How it works... -- There's more... -- Importing data from fixed-width datafiles -- Getting ready -- How to do it... -- How it works... -- Importing data from tab-delimited files -- Getting ready -- How to do it... -- How it works... -- There's more... -- Importing data from a JSON resource -- Getting ready -- How to do it...

How it works... -- There's more... -- Exporting data to JSON, CSV, and Excel -- Getting ready -- How to do it... -- How it works... -- There's more... -- Importing data from a database -- Getting ready -- How to do it... -- How it works... -- There's more... -- Cleaning up data from outliers -- Getting ready -- How to do it... -- There's more... -- Reading files in chunks -- How to do it... -- How it works... -- There's more... -- Reading streaming data sources -- How to do it... -- How it works... -- There's more... -- Importing image data into NumPy arrays -- Getting ready -- How to do it... -- How it works... -- There's more... -- Generating controlled random datasets -- Getting ready -- How to do it... -- Smoothing the noise in real-world data -- Getting ready -- How to do it... -- How it works... -- There's more... -- 3. Drawing Your First Plots and Customizing Them -- Introduction -- Defining plot types - bar, line, and stacked charts -- Getting ready -- How to do it... -- How it works... -- There's more... -- Drawing a simple sine and cosine plot -- Getting ready -- How to do it... -- Defining axis lengths and limits -- Getting ready -- How to do it... -- How it works... -- There's more... -- Defining plot line styles, properties, and format strings -- Getting ready -- How to do it... -- How it works... -- Color -- Background color -- Setting ticks, labels, and grids -- Getting ready -- How to do it... -- Adding a legend and annotations -- Getting ready -- How to do it... -- How it works... -- Moving spines to the center -- How to do it... -- How it works... -- There's more... -- Making histograms -- Getting ready -- How to do it... -- How it works... -- Making bar charts with error bars -- Getting ready -- How to do it... -- How it works... -- There's more... -- Making pie charts count -- Getting ready -- How to do it...

Plotting with filled areas -- Getting ready -- How to do it... -- How it works... -- There's more... -- Drawing scatter plots with colored markers -- Getting ready -- How to do it... -- How it works... -- 4. More Plots and Customizations -- Introduction -- Setting the transparency and size of axis labels -- Getting ready -- How to do it... -- How it works... -- There's more... -- Adding a shadow to the chart line -- Getting ready -- How to do it... -- How it works... -- There's more... -- Adding a data table to the figure -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using subplots -- Getting ready -- How to do it... -- How it works... -- There's more... -- Customizing grids -- Getting ready -- How to do it... -- How it works... -- Creating contour plots -- Getting ready -- How to do it... -- How it works... -- Filling an under-plot area -- Getting ready -- How to do it... -- How it works... -- Drawing polar plots -- Getting ready -- How to do it... -- How it works... -- Visualizing the filesystem tree using a polar bar -- Getting ready -- How to do it... -- How it works... -- 5. Making 3D Visualizations -- Introduction -- Creating 3D bars -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating 3D histograms -- Getting ready -- How to do it... -- How it works... -- Animating in matplotlib -- Getting ready -- How to do it... -- How it works... -- There's more... -- Animating with OpenGL -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using Pyglet Quickstart -- Using Glumpy Quickstart -- Pyprocessing introduction -- 6. Plotting Charts with Images and Maps -- Introduction -- Processing images with PIL -- Getting ready -- How to do it... -- How it works... -- There's more... -- Plotting with images -- Getting ready -- How to do it... -- How it works...

Displaying an image with other plots in the figure -- Getting ready -- How to do it... -- How it works... -- There's more... -- Plotting data on a map using Basemap -- Getting ready -- How to do it... -- How it works... -- There's more... -- Plotting data on a map using Google Map API -- Getting ready -- How to do it... -- How it works... -- There's more... -- Generating CAPTCHA images -- Getting ready -- How to do it... -- How it works... -- There's more... -- 7. Using Right Plots to Understand Data -- Introduction -- Understanding logarithmic plots -- Getting ready -- How to do it... -- How it works... -- Understanding spectrograms -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating a stem plot -- Getting ready -- How to do it... -- How it works... -- Drawing streamlines of vector flow -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using colormaps -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using scatter plots and histograms -- Getting ready -- How to do it... -- How it works... -- There's more... -- Plotting the cross-correlation between two variables -- Getting ready -- How to do it... -- How it works... -- Importance of autocorrelation -- Getting ready -- How to do it... -- How it works... -- There's more... -- 8. More on matplotlib Gems -- Introduction -- Drawing barbs -- Getting ready -- How to do it... -- How it works... -- There's more... -- Making a box and a whisker plot -- Getting ready -- How to do it... -- How it works... -- Making Gantt charts -- Getting ready -- How to do it... -- How it works... -- Making errorbars -- Getting ready -- How to do it... -- How it works... -- There's more... -- Making use of text and font properties -- Getting ready -- How to do it... -- How it works... -- Rendering text with LaTeX -- Getting ready.

How to do it... -- How it works... -- There's more... -- Understanding the difference between pyplot and OO API -- Getting ready -- How to do it... -- How it works... -- There's more... -- Index.