What if you have three variables : Life Expectancy, GDP and Population and want to see how they behave with each other.
So the blue blobs are how large the population is in some countries witch a certain overlap between life-expectancy and GDP. The bigger the blob – the bigger the life expectancy. How we achieve this is by introducing a numpy array of the third variable into the scatter chart.
Here the population (pop) is the 3rd variable:
# Import numpy as np
import numpy as np
# Store pop as a numpy array: np_pop
np_pop = np.array(pop)
# Update: set s argument to np_pop
plt.scatter(gdp_cap, life_exp, s = np_pop)
# Previous customizations
plt.xlabel(‘GDP per Capita [in USD]’)
plt.ylabel(‘Life Expectancy [in years]’)
plt.title(‘World Development in 2007’)
plt.xticks([1000, 10000, 100000],[‘1k’, ’10k’, ‘100k’])
# Display the plot