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Intermediate Python
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    • Intermediate Python

    Run the hidden code cell below to import the data used in this course.

    # Import the course packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Import the two datasets
gapminder = pd.read_csv("datasets/gapminder.csv")
brics = pd.read_csv("datasets/brics.csv")

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    # Add your code snippets here

    Explore Datasets

    Use the DataFrames imported in the first cell to explore the data and practice your skills!

    • Create a loop that iterates through the brics DataFrame and prints "The population of {country} is {population} million!".
    • Create a histogram of the life expectancies for countries in Africa in the gapminder DataFrame. Make sure your plot has a title, axis labels, and has an appropriate number of bins.
    • Simulate 10 rolls of two six-sided dice. If the two dice add up to 7 or 11, print "A win!". If the two dice add up to 2, 3, or 12, print "A loss!". If the two dice add up to any other number, print "Roll again!".
    for lab, row in brics.iterrows():
    print("The population of " + str(brics.country[lab]) + " is " + str(brics.population[lab]) + " million!")

gapminder_africa = gapminder[gapminder["cont"] == "Africa"]
plt.hist(gapminder_africa.life_exp)
plt.title("Life expectancies for countries in Africa")
plt.xlabel("Life expectancy in Years")
plt.ylabel("Countries in range")
plt.show()