如何在python panda中检查特定范围内的日期时间列?

该特定文件中的所有行将延迟一分钟。(这是所有读数,因此间隔不超过一分钟)

使用panda,我加载日期列,如下所示;

def read_dipsfile(writer):
    atg_path = '/Users/ratha/PycharmProjects/DataLoader/data/dips'
    files = os.listdir(atg_path)
    df = pd.DataFrame()
    dateCol = ['Dip Time']
    for f in files:
        if(f.endswith('.CSV')):
            data = pd.read_csv(os.path.join(atg_path, f), delimiter=',', skiprows=[1], skipinitialspace=True,
                               parse_dates=dateCol)

            if mid_day_check(data['Dip Time']):  --< gives error
                df = df.append(data)


def mid_day_check(startTime):
    midnightTime = datetime.datetime.strptime(startTime, '%Y%m%d')
    hourbefore = datetime.datetime.strptime(startTime, '%Y%m%d') + datetime.timedelta(hours=-1)

    if startTime <= midnightTime and startTime>=hourbefore:
        return True
    else:
        return False

在上面的代码中,如何将列传递给函数?

    midnightTime = datetime.datetime.strptime(startTime, '%Y%m%d')
TypeError: strptime() argument 1 must be str, not Series