Difference between agg() and aggregate() function in pandas

Question

So, I was going through agg() and aggregate() in pandas. And found both to give similar output. Here is the code which gives similar output for both the functions. So, just wanted to understand wat is the difference between both of them.

data = {'Name': ['Giggs', 'Tom', 'Dick', 'Harry', 'Jack', 'Jill', 'Scholes', 'Martial', 'Rashford', 'Pogba'],
        'Age': [23,21,24,21,20,10,23,45,22,35],
        'Rating': [4.23, 3.21, 2.10, 1.91, 4.32, 6.32, 4.19, 2.09, 1.09, 3.33],
        'Teams': ['Man Utd',"PSG",'Real Madrid','Real Madrid', 'Man Utd', 'Man City','Man City','PSG','Man Utd','PSG'],
        'Year': [2014, 2015, 2014, 2015, 2014, 2015, 2016, 2017, 2016, 2014]}

df = pd.DataFrame(data)


print(grouped.agg('Rating').sum())
print("------Aggregation function---")
print(grouped.aggregate('Rating').sum())

Answer 1

The official documentation says

agg is an alias for aggregate. Use the alias.

It is the same.