Additional Resources

matplotlib supports a wide range of plot types and customizations not covered here. Other types of plots include:

• Filled polygon

• Stackplots and streamgraphs

• Image plots

• Density plots

• Contour plots

• Mesh plots

• Streamplots

• Geographic projections

• Violin plots

• Polar charts

• Custom object plots

That’s not even getting into 3D plotting in matplotlib, or plotting geographic data.

A good place to start is the matplotlib Gallery, which includes sample code for different plot types. “Sample plots in matplotlib” is another starting place.

For 3D Plotting

3D plotting resources:

• Jake VanderPlas, “Three-Dimensional Plotting in Matplotlib” from Python Data Science Handbook

• matplotlib, 3D surface

• matplotlib, “The mplot3d Toolkit”

• matplotlib gallery, “3D plotting”

For More on Text and Annotation

A few of our examples used matplotlib’s annotation functionality. Annotation using .text() can highlight specific data points or draw attention to specific elements of a plot.

For more on text and annotation:

• Jake VanderPlas, “Text and Annotation” from Python Data Science Handbook

• matplotlib gallery, “Text, labels and annotations”

• matplotlib Annotations

• matplotlib.pyplot.annotate