#KOD#

df = pd.DataFrame(list(zip(SPEED, TYPE, SENDKEY)),
                  columns=['SPEED', 'TYPE', 'SEND KEY'])
speedSum1 = df.groupby(['TYPE', 'SEND KEY'])['SPEED'].sum()
#   print(df)
pd.set_option('display.max_rows', df.shape[0]+1)

print(speedSum1)
print(speedSum1.iloc[0])


#OUTPUT#

#print(speedSum1)
TYPE        SEND KEY
AGREGACJA   YET UNASSIGNED                x2x2x1x1x1x1x1x1x1
            KEY1                                      x1x1x1
            KEY2                                          x1
            KEY3                                          x1
            KEY4                                          x1


#print(speedSum1.iloc[0])
Name: SPEED, dtype: object
x2x2x1x1x1x1x1x1x1


#POŻĄDANY OUTPUT:
TYPE: AGREGACJA
SEND KEY: YET UNASSIGNED
SPEED: x2x2x1x1x1x1x1x1x1