I am assuming that this table you're using is the panda's data frame. Let us say that name of each data frame is df and that name of that first column is 'column 1'. I have used the first column because that is someone that contains values - A,B,---Z. The following code should help you out.
import pandas as pd
df.groupby(['column_name']).mean()
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