Lets say i have the following dataframes of different lengths:
name value
0 a 4.0
1 b 6.0
2 c 5.0
name value
0 a 4.0
1 b 2.0
name value
0 c 3.0
how would I add them together and then divide by the amount of occurences? Final dataframe below:
name value
0 a 4.0 = (4+4)/2
1 b 4.0 = (6+2)/2
2 c 2.67 = (5+3)/3
Thank you again for your help.
Let's say you have 3 DataFrames you can concat them together, take a groupby and return mean.
df = pd.concat([df1, df2, df3])
df.groupby('name')['value'].mean().reset_index()