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How to Calcualte GDP average?

def average_gdp(): Top15[‘avgGDP’] = Top15[[str(year) for year in range(2006, 2016)]].apply(lambda x: x.mean(), axis=1) avgGDP = Top15[‘avgGDP’].sort_values(ascending=False) sixth_largest = avgGDP.iloc[5] return (sixth_largest) From Snap code above I do like traditional one like this but. Seem not what is the purpose to create in NumPy and Pandas, How to improve this code. I would like to create […]