np.random.seed(0)
df = pd.DataFrame(np.random.randint(1,10,size=(5, 3)),columns=["s_r","s_c","s_s"])
df
def normal(df):
    num = df.sub(df.min())
    den = (df.max()).sub(df.min())    
    return num.div(den)
normal(df)