Matplotlib Basic Plots Cheat Sheet
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Questions and Answers

What function is used to save a figure as a PDF in Matplotlib?

  • imshow()
  • pcolormesh()
  • fig.savefig() (correct)
  • scatter()

    • Which function is used to create a scatter plot in Matplotlib?

  • imshow()
  • scatter() (correct)
  • quiver()
  • plot()

    • In Matplotlib, what is the purpose of the 'imshow()' function?

  • Displaying an image (correct)
  • Plotting 3D figures
  • Generating pie charts
  • Creating bar plots

    • Which function in Matplotlib is specifically used for creating a legend?

    <p>plot()</p> Signup and view all the answers

    What does the 'pcolormesh()' function do in Matplotlib?

    <p>Create pseudocolor plots</p> Signup and view all the answers

    Which function in Matplotlib would you use to plot directional fields?

    <p>quiver()</p> Signup and view all the answers

    Study Notes

    ###/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.

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    Description

    Learn about basic plots in Matplotlib, including scatter plots, imshow, contourf, and pcolormesh. Explore various parameters such as colors, markers, sizes, and color maps for different plot types.

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