# We will be using the matplotlib library,

# In particular, we will be using the matplotlib.pyplot module.

# In its simplest use, pyplot maintains an internal state in which you build 
# up a visualization step by step. 
# Once you’re done, you can save it (with savefig()) or display it (with show()).

# Example:

from matplotlib import pyplot as plt

years = [1950, 1960, 1970, 1980, 1990, 2000, 2010]
gdp = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3]

# create a line chart, years on x-axis, gdp on y-axis
plt.plot(years, gdp, color='green', marker='o', linestyle='solid')

# add a title
plt.title("Nominal GDP")

# add a label to the y-axis
plt.ylabel("Billions of $")

# display the plot
plt.show()