Merge it all
Time to keep working with the obesity project! You will analyze the mean obesity percentage in different countries, but this time, the obesity DataFrame has a new column named bounds. It contains the minimum and maximum values you can find in different parts of the same country.
You notice that these values are given in a list, so you decide that you need to transform that column. You would like to have each element in a new row.
The DataFrame obesity is available in your session. Make sure to examine it in the console!
This exercise is part of the course
Reshaping Data with pandas
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Explode the values of bounds to a separate row
obesity_bounds = ____[____].____
# Print obesity_bounds
print(obesity_bounds)