Basic scatter plot with plt.scatter in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a scatter plot used for in data science?

A scatter plot shows the relationship between two sets of data by displaying points on a graph. Each point represents one data pair, helping us see patterns or trends.

beginner

Which function in matplotlib creates a scatter plot?

The function plt.scatter() is used to create scatter plots in matplotlib.

beginner

What do the two main arguments of plt.scatter(x, y) represent?

The first argument x is the list or array of x-coordinates, and the second argument y is the list or array of y-coordinates for the points.

beginner

How can you add labels to the x-axis and y-axis in a matplotlib scatter plot?

Use plt.xlabel('label') for the x-axis and plt.ylabel('label') for the y-axis to add labels.

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What does the plt.show() function do after creating a scatter plot?

plt.show() displays the plot window so you can see the scatter plot you created.

Which matplotlib function is used to create a scatter plot?

A plt.plot()

B plt.scatter()

C plt.bar()

D plt.hist()

plt.scatter() is the correct function to create scatter plots.

In plt.scatter(x, y), what does x represent?

A x-coordinates of points

B size of points

C y-coordinates of points

D color of points

x is the list or array of x-coordinates for the points.

How do you add a label to the y-axis in matplotlib?

A plt.ylabel('label')

B plt.xlabel('label')

C plt.title('label')

D plt.legend('label')

Use plt.ylabel('label') to add a label to the y-axis.

What does plt.show() do?

A Creates a new plot

B Saves the plot to a file

C Clears the plot

D Displays the plot window

plt.show() opens the window to display the plot.

Which of these is NOT a typical use of a scatter plot?

A Finding patterns or clusters

B Showing relationship between two variables

C Displaying frequency of categories

D Visualizing data points distribution

Displaying frequency of categories is usually done with bar charts, not scatter plots.

Explain how to create a basic scatter plot using matplotlib's plt.scatter function.

Think about what data you need and how to show the plot.

Describe the purpose of a scatter plot and when you might use it in real life.

Imagine comparing two things to see if they relate.