Igor Milovanović - Python Data Visualization Cookbook [2013, ePub, ENG]

1: Preparing Your Working Environment
Introduction
Installing matplotlib, NumPy, and SciPy
Installing virtualenv and virtualenvwrapper
Installing matplotlib on Mac OS X
Installing matplotlib on Windows
Installing Python Imaging Library (PIL) for image processing
Installing a requests module
Customizing matplotlib's parameters in code
Customizing matplotlib's parameters per project
2: Knowing Your Data
Introduction
Importing data from CSV
Importing data from Microsoft Excel files
Importing data from fixed-width datafiles
Importing data from tab-delimited files
Importing data from a JSON resource
Exporting data to JSON, CSV, and Excel
Importing data from a database
Cleaning up data from outliers
Reading files in chunks
Reading streaming data sources
Importing image data into NumPy arrays
Generating controlled random datasets
Smoothing the noise in real-world data
3: Drawing Your First Plots and Customizing Them
Introduction
Defining plot types – bar, line, and stacked charts
Drawing a simple sine and cosine plot
Defining axis lengths and limits
Defining plot line styles, properties, and format strings
Setting ticks, labels, and grids
Adding a legend and annotations
Moving spines to the center
Making histograms
Making bar charts with error bars
Making pie charts count
Plotting with filled areas
Drawing scatter plots with colored markers
4: More Plots and Customizations
Introduction
Setting the transparency and size of axis labels
Adding a shadow to the chart line
Adding a data table to the figure
Using subplots
Customizing grids
Creating contour plots
Filling an under-plot area
Drawing polar plots
Visualizing the filesystem tree using a polar bar
5: Making 3D Visualizations
Introduction
Creating 3D bars
Creating 3D histograms
Animating in matplotlib
Animating with OpenGL
6: Plotting Charts with Images and Maps
Introduction
Processing images with PIL
Plotting with images
Displaying an image with other plots in the figure
Plotting data on a map using Basemap
Plotting data on a map using Google Map API
Generating CAPTCHA images
7: Using Right Plots to Understand Data
Introduction
Understanding logarithmic plots
Understanding spectrograms
Creating a stem plot
Drawing streamlines of vector flow
Using colormaps
Using scatter plots and histograms
Plotting the cross-correlation between two variables
Importance of autocorrelation
8: More on matplotlib Gems
Introduction
Drawing barbs
Making a box and a whisker plot
Making Gantt charts
Making errorbars
Making use of text and font properties
Rendering text with LaTeX
Understanding the difference between pyplot and OO API