Matplotlib Basic Plots Cheat Sheet

###/matplotlib Basics/

• plot() function is used to create a plot, taking in X, Y, and optional fmt, color, marker, and linestyle arguments.

Plotting Functions/

• scatter() function creates a scatter plot, taking in X, Y, and optional sizes, colors, and marker arguments.
• imshow() function displays an image, taking in Z, cmap, interpolation, extent, and origin arguments.
• contour() and contourf() functions create contour plots, taking in X, Y, Z, levels, colors, extent, and origin arguments.
• pcolormesh() function creates a pseudo-color plot, taking in X, Y, Z, vmin, vmax, and cmap arguments.

Figure Anatomy/

• A figure in matplotlib consists of a title, projections, and a grid.

Projections/

• Projections can be set using the '3d' argument, e.g. p='3d'.

Markers and Lines/

• Markers can be customized in scatter plots using various symbols and styles.
• Lines can be customized using various linestyles and formats.

Legends and Axes/

• Legends can be created using the pie() function, taking in X, explode, labels, colors, and radius arguments.
• Axis labels can be customized using the ticker module.

Subplots and Layout/

• Subplots can be created using the subplot() or subplots() functions, taking in rows, cols, and other arguments.
• Gridspec can be used to create complex layouts.
• Axes can be added or removed using various methods.

Additional Functions/

• fig.savefig() function saves a figure to a file.
• plt.show() function displays a figure.
• quiver() function creates a quiver plot, taking in X, Y, U, V, and other arguments.
• step() function creates a step plot, taking in X, Y, and other arguments.
• boxplot() function creates a box plot, taking in X, notch, sym, bootstrap, and widths arguments.
• errorbar() function creates an error bar plot, taking in X, Y, xerr, yerr, and other arguments.