Loop over DataFrame (2)
The row data that's generated by iterrows() on every run is a Pandas Series. This format is not very convenient to print out. Luckily, you can easily select variables from the Pandas Series using square brackets:
for lab, row in brics.iterrows() :
print(row['country'])
This exercise is part of the course
Intermediate Python for Data Science
Exercise instructions
Adapt the code in the for loop such that the first iteration prints out "US: 809", the second iteration "AUS: 731", and so on. Make sure to print out this exact string, with the correct spacing.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import cars data
import pandas as pd
cars = pd.read_csv('cars.csv', index_col = 0)
# Adapt for loop
for lab, row in cars.iterrows() :
print(lab)
print(row)