summing rows/columns more quickly

[ka06059]

for index, row in df.iloc[:,0:64].iterrows():
    row=numpy.array(row)  
    row=row.reshape(8,8)
    row_sum=row.sum(axis=0)
    column_sum=row.sum(axis=1)
    concatenated = np.concatenate((row_sum,column_sum),axis=0)              #################
    result=pandas.DataFrame(concatenated.reshape(1,16), columns=[i for i in range(0,16)])#############
    df_2=df_2.append(result)

i concatenated row_sum & column_sum 1st, then called Dataframe() once... did this in python 2.7 just in case not working