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df.mean(axis=0)#average for each column
df.mean(axis=1)#average for each row
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df.mean(axis=0)#average for each column
df.mean(axis=1)#average for each row
# credit to the Stack Overflow user in the source link
# df is the pandas DataFrame
n = 25 # the number of rows
df.groupby(np.arange(len(df))//n).mean()