coverpage
Python Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 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
Chapter 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
Chapter 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
Chapter 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
Chapter 5. Making 3D Visualizations
Introduction
Creating 3D bars
Creating 3D histograms
Animating in matplotlib
Animating with OpenGL
Chapter 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
Chapter 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
Chapter 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
Index
更新时间：2021-11-12 16:28:51
完结共98章
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