Learn
Line Graphs in Matplotlib
Linestyles

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.

### Instructions

1.

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

2.

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