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!
Cet exercice fait partie du cours
Reshaping Data with pandas
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Explode the values of bounds to a separate row
obesity_bounds = ____[____].____
# Print obesity_bounds
print(obesity_bounds)