def scaler_one(group):
    """
        使用序列的第一个数据进行标准化处理，即将序列转换为第一个数据为1.0开始的序列
        eg: group
            2011-07-28    9820.0
            2011-07-29    9845.0
            2011-08-01    9685.0
            2011-08-02    9653.0
            2011-08-03    9549.0
            2011-08-04    9345.0
            2011-08-05    9114.8
            2011-08-08    8766.8
            2011-08-09    8750.0
            2011-08-10    8646.0
                           ...
            2017-07-13    5864.5
            2017-07-14    5928.0
            2017-07-17    6004.5
            2017-07-18    6004.0
            2017-07-19    5966.0
            2017-07-20    5982.0
            2017-07-21    5997.0
            2017-07-24    6033.5
            2017-07-25    6261.0
            2017-07-26    6306.5

        scaler_one(group)

            2011-07-28    1.0000
            2011-07-29    1.0025
            2011-08-01    0.9863
            2011-08-02    0.9830
            2011-08-03    0.9724
            2011-08-04    0.9516
            2011-08-05    0.9282
            2011-08-08    0.8927
            2011-08-09    0.8910
            2011-08-10    0.8804
                           ...
            2017-07-13    0.5972
            2017-07-14    0.6037
            2017-07-17    0.6115
            2017-07-18    0.6114
            2017-07-19    0.6075
            2017-07-20    0.6092
            2017-07-21    0.6107
            2017-07-24    0.6144
            2017-07-25    0.6376
            2017-07-26    0.6422
    :param group: pd.DataFrame对象, pd.Series对象, np.array对象
    """
    return group / group[0]
