Pandas: calculating the mean values of duplicate entries in a dataframe

Question

I have been working with a dataframe in python and pandas that contains duplicate entries in the first column. The dataframe looks something like this:

    sampl         


        

Answer 1

Groupby will work.

data.groupby('sample_id').mean()

You can then use reset_index() to make look exactly as you want.

Answer 2

groupby the sample_id column and use mean

df.groupby('sample_id').mean().reset_index()
or
df.groupby('sample_id', as_index=False).mean()

get you