xxxxxxxxxx
# 24. Summarise for multiple columns and values
df.groupby(['Airline','AirportFrom','AirportTo']).aggregate({'id':'count','Time':'sum'}).reset_index()
xxxxxxxxxx
df.groupby(['Airline','AirportFrom','AirportTo']).aggregate({'id':'count','Time':'sum'}).reset_index()