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Intermediate Python

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

1 hidden cell

Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

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# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)
## This opens the csv with pd.read_csv and the table is indexed with the first column



# Create car_maniac: observations that have a cars_per_cap over 500
cpc = cars['cars_per_cap']
## select column with the angled brackets. also works by iloc[]

many_cars = cpc > 500
## bollean operator shows 

car_maniac = cars[many_cars]

# Print car_maniac
print(car_maniac)

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!".