We can specify a different color for a line by using the keyword color with either an HTML color name or a HEX code:

plt.plot(days, money_spent, color='green') plt.plot(days, money_spent_2, color='#AAAAAA')


We can also make a line dotted or dashed using the keyword linestyle.

# Dashed: plt.plot(x_values, y_values, linestyle='--') # Dotted: plt.plot(x_values, y_values, linestyle=':') # No line: plt.plot(x_values, y_values, linestyle='')

We can also add a marker using the keyword marker:

# A circle: plt.plot(x_values, y_values, marker='o') # A square: plt.plot(x_values, y_values, marker='s') # A star: plt.plot(x_values, y_values, marker='*')

To see all of the possible options, check out the Matplotlib documentation. Here are a couple of those values applied to our plots about lunch spending:

plt.plot(days, money_spent, color='green', linestyle='--') plt.plot(days, money_spent_2, color='#AAAAAA', marker='o')


Let’s get some practice with customizing lines on the same plot.



Plot revenue vs. time as a purple ('purple'), dashed ('--') line.


Plot costs vs. time as a line with the HEX color #82edc9 and square ('s') markers.

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