lambda
Create a new column with a 1 if the country's % Renewable value is at or above the median for all countries in the top 15, and a 0 if the country's % Renewable value is below the median.
Source: Applied Data Science with Python - 01 Introduction
def answer_ten():
Top15 = answer_one()
med = Top15['% Renewable'].median()
Top15['HighRenew'] = Top15['% Renewable']>=med
Top15['HighRenew'] = Top15['HighRenew'].apply(lambda x:1 if x else 0)
Top15.sort_values(by='Rank', inplace=True)
return Top15['HighRenew']