vec_002

def myfunc0(b, c):
    r = np.sqrt(np.mean((b - c)**2))
    return r


def variants(df, dftype):
    dfX = df.copy()
    print(dftype)
    %timeit  dfX["r1"] = (((dfX["B"] - dfX["C"])**2).mean())**0.5
    %timeit  dfX["r2"] = np.sqrt( np.mean((dfX["B"] - dfX["C"])**2))    
    %timeit  dfX["r3"] = np.sqrt( np.mean((dfX["B"].values - dfX["C"].values)**2))
    %timeit  dfX["r4"] = np.sqrt( np.mean((dfX["B"].to_numpy() - dfX["C"].to_numpy())**2))
    %timeit  if dftype == "short:": dfX["r5"] = np.vectorize(myfunc0)(dfX["B"], dfX["C"])
    
    
variants(dfS, "short:")
variants(dfM, "medium:")
variants(dfL, "long:")