类型错误，“方法”对象在迭代时不可下标

Question

我正在处理巨大的数据框：

reader = pd.read_csv("D:/...path.../test.csv", names=["id_easy","ordinal", "latitude", "longitude","epoch",'weekday'], 
                 parse_dates=['epoch'], chunksize=n_rows, error_bad_lines=False)

day_names = (('0:00', '1:00'),('1:00', '2:00'),('2:00', '3:00'),('3:00', '4:00'),('4:00', '5:00'),('5:00', '6:00'),
             ('6:00', '7:00'),('7:00', '8:00'),('8:00', '9:00'),('9:00', '10:00'),('10:00', '11:00'),('11:00', '12:00'),
             ('12:00', '13:00'),('13:00', '14:00'),('14:00', '15:00'),('15:00', '16:00'),('16:00', '17:00'),('17:00', '18:00'),
             ('18:00', '19:00'),('19:00', '20:00'),('20:00', '21:00'),('21:00', '22:00'),('22:00', '23:00'),('23:00', '00:00'))

for df in reader: 
    if not df.empty: 
        df['epoch'] = pd.to_datetime(df.epoch,unit = 's')
        df.index = pd.to_datetime(df.epoch)
        for day in day_names: 
            day_df = df.between_time[day] # ERROR IS HERE
            if not day_df.empty:
                day_df.to_csv(f'{day}.csv', index=False, header=False, mode='a')

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TypeError: 'method' 对象不可下标

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所需的输出是 24 个 .csv 文件，例如：final1,final2,...,final24

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样本数据：

e35f652a    68  11.9125 3.7432  1465084811  Sunday
e35f652a    69  11.8992 3.7412  1465084870  Sunday
e35f652a    70  11.8866 3.7342  1465084930  Sunday
e35f652a    71  11.8755 3.7321  1465084990  Sunday
e35f652a    72  11.8675 3.7247  1465085050  Sunday

---

不知何故this的问题或多或少相似

Answer 1

将用于索引的[]更改为()，因为DataFrame.between_time()并通过索引选择元组的第一个和第二个值：

for day in day_names: 
    day_df = df.between_time(day[0], day[1])

或更改解包元组的循环：

for s, e in day_names: 
    day_df = df.between_time(s, e)