Recall & Review
beginner
What is a 3D scatter plot?
A 3D scatter plot is a graph that shows points in three dimensions (x, y, and z). It helps us see how three variables relate to each other in space.
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beginner
Which matplotlib module is used to create 3D scatter plots?
The <code>mpl_toolkits.mplot3d</code> module provides 3D plotting tools, including the <code>Axes3D</code> class used to create 3D scatter plots.Click to reveal answer
beginner
How do you add a 3D scatter plot to a matplotlib figure?
First, create a 3D axes with
fig.add_subplot(111, projection='3d'). Then use ax.scatter(x, y, z) to plot points in 3D.Click to reveal answer
intermediate
What parameters can you customize in a 3D scatter plot?
You can change point color, size, shape, and transparency. You can also label axes and add a title to make the plot clearer.
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beginner
Why use 3D scatter plots instead of 2D scatter plots?
3D scatter plots show relationships among three variables at once, giving a fuller picture than 2D plots which show only two variables.
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Which command creates a 3D axes in matplotlib?
✗ Incorrect
The correct way to create 3D axes is using
fig.add_subplot(111, projection='3d'). Other options are not valid matplotlib commands.What function plots points in a 3D scatter plot?
✗ Incorrect
The
ax.scatter(x, y, z) function plots points in 3D space on the 3D axes.Which module must be imported to use 3D plotting in matplotlib?
✗ Incorrect
3D plotting tools are in the
mpl_toolkits.mplot3d module.What does the 'projection' parameter specify when adding a subplot?
✗ Incorrect
The 'projection' parameter tells matplotlib to create a 3D plot when set to '3d'.
Which of these can you NOT customize in a 3D scatter plot?
✗ Incorrect
Background music is not related to plotting and cannot be customized in matplotlib plots.
Explain how to create a basic 3D scatter plot using matplotlib.
Think about the steps from importing to displaying the plot.
You got /4 concepts.
Describe why 3D scatter plots are useful and when you might use them.
Consider the advantage of adding a third dimension to data visualization.
You got /4 concepts.