Pandas: Group by a column that meets a condition

Question

I have a data set with three colums: rating , breed, and dog.

import pandas as pd
dogs = {\'breed\': [\'Chihuahua\', \'Chihuahua\', \'Dalmatian\', \'Sphynx\'         


        

Answer 1

Once you groupby and select a column, your dog column doesn't exist anymore in the context you have selected (and even if it did you are not accessing it correctly).

Filter your dataframe first, then use groupby with mean

df[df.dog].groupby('breed')['rating'].mean().reset_index()

       breed  rating
0  Chihuahua     8.5
1  Dalmatian    10.0