Plotting multiple lines in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What function in matplotlib is commonly used to plot multiple lines on the same graph?

The plt.plot() function can be called multiple times before plt.show() to plot multiple lines on the same graph.

beginner

How can you add a legend to a plot with multiple lines in matplotlib?

Use the label parameter in plt.plot() for each line, then call plt.legend() to display the legend.

beginner

What is the purpose of calling plt.show() after plotting multiple lines?

plt.show() displays the figure window with all plotted lines. Without it, the plot may not appear.

intermediate

How do you change the color and style of each line when plotting multiple lines?

You can pass color and style arguments like color='red' or linestyle='--' inside plt.plot() for each line.

beginner

Why is it useful to plot multiple lines on the same graph?

Plotting multiple lines helps compare different data sets or trends visually in one place, making it easier to analyze relationships.

Which matplotlib function is used to plot lines on a graph?

A plt.plot()

B plt.bar()

C plt.scatter()

D plt.hist()

plt.plot() is used for line plots, while others are for bars, scatter points, or histograms.

How do you add a label for a line to appear in the legend?

A Call <code>plt.label()</code>

B Use <code>label='name'</code> in <code>plt.plot()</code>

C Set <code>legend=True</code> in <code>plt.plot()</code>

D Use <code>plt.legend('name')</code>

Labels are set inside plt.plot() with the label argument.

What does plt.show() do?

A Clears the plot

B Saves the plot to a file

C Creates a new figure

D Displays the plot window

plt.show() opens the window showing the plot.

Which argument changes the line style in plt.plot()?

A marker

B linewidth

C linestyle

D color

linestyle changes the pattern of the line (solid, dashed, etc.).

Why plot multiple lines on the same graph?

A To compare different data sets visually

B To save memory

C To create animations

D To avoid legends

Multiple lines help compare trends or values side by side.

Explain how to plot two different lines on the same graph using matplotlib.

Think about calling the plot function multiple times before showing the plot.

Describe how to customize the color and style of multiple lines in a matplotlib plot.

Each plt.plot() call can have its own style settings.