Finally, we'll remind ourselves how a histogram works. We've already seen this plenty of times in the book. Let's look at the following code:

incomes = np.random.normal(27000, 15000, 10000) 
plt.hist(incomes, 50) 
plt.show() 

In this example, I call a normal distribution centered on 27,000, with a standard deviation of 15,000 with 10,000 data points. Then, I just call pyplot's histogram function, that is, hist(), and specify the input data and the number of buckets that we want to group things into in our histogram. Then I call show() and the rest is magic.