I am follwoing a Datacamp Course on Data Science and I have the following script:
# Import numpy as np
import numpy as np
# Store pop as a numpy array: np_pop
np_pop = np.array(pop)
# Double np_pop
np_pop*=2
# Update: set s argument to np_pop
plt.scatter(gdp_cap, life_exp, s = np_pop)
# Previous customizations
plt.xscale('log')
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
plt.show()
It displays the following plot:
My Question is what does it mean for the s parameter in scatter to be an array ? I understand when it's an int it's the size of the points. However, in the array case, does it map every entry in the array to the size of that specific data Point ?
plt.scatter([1,2,3], [3,1,2], s=[1000, 9000, 111], c=['red', 'green', 'blue'])shows 3 dots at coordinates (1,3), (2,1) and (3,2), second one being 3 times (in radius; 9 times in surface) bigger than the first one, and the last one 3 times smaller, the first one being red, second green and last blue. Doesn't work for everything tho (for example, not for markers. Can't use['o','o'.'x']to have the last one a cross