Mastering Matplotlib 2.x

In you’ll get hands-on with customizing your data plots with the help of Matplotlib. You’ll start with customizing plots, making a handful of special-purpose plots, and building 3D plots. You’ll explore non-trivial layouts, Pylab customization, and more about tile configuration. You’ll be able to add text, put lines in plots, and also handle polygons, shapes, and annotations. Non-Cartesian and vector plots are exciting to construct, and you’ll explore them further in this book. (Limited-time offer)

Table of Contents

• Heavy Customization
• Customizing PyLab using style
• Deep diving into color
• Working on non-trivial layouts
• The Matplotlib configuration files
• Drawing on Plots
• Putting lines in place
• Adding text on your plots
• Playing with polygons and shapes
• Versatile annotating
• Special Purpose Plots
• Non-Cartesian plots
• Plotting vector fields
• Statistics with boxes and violins
• Visualizing ordinal and tabular data
• 3D and Geospatial Plots
• Plotting with 3D axes
• Looking at various 3D plot types
• The basemap methods
• Plotting on map projections
• Adding geography
• Interactive Plotting
• Interactive plots in the Jupyter Notebook
• Event handling with plot callbacks
• GUI neutral widgets
• Making movies

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