LocAndILoc(3).py

It's also possible to select only columns with loc and iloc. In both cases, you simply put a slice going from beginning to end in front 
of the comma:

cars.loc[:, 'country']
cars.iloc[:, 1]

cars.loc[:, ['country','drives_right']]
cars.iloc[:, [1, 2]]
Instructions
100 XP
Print out the drives_right column as a Series using loc or iloc.
Print out the drives_right column as a DataFrame using loc or iloc.
Print out both the cars_per_cap and drives_right column as a DataFrame using loc or iloc.

#Solution:

# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)

# Print out drives_right column as Series
print(cars.loc[:,'drives_right'])

# Print out drives_right column as DataFrame
print(cars.loc[:,['drives_right']])

# Print out cars_per_cap and drives_right as DataFrame
print(cars.loc[:,['cars_per_cap','drives_right']])