Group by and find top n value_counts pandas

Question

I have a dataframe of taxi data with two columns that looks like this:

Neighborhood    Borough        Time
Midtown         Manhattan      X
Melrose         B         


        

Answer 1

df['Neighborhood'].groupby(df['Borough']).value_counts().head(5)

head() gets the top 5 rows in a data frame.