我有一个包含数百万条记录的数据库:
[("Something", "10/08/2017", "something else", "something more", "etc"),
("Something", "16/08/2017", "something else", "something more", "etc"),
("Something", "14/07/2017", "something else", "something more", "etc"),
("Something", "14/08/2017", "something else", "something more", "etc"),
("Something", "15/07/2017", "something else", "something more", "etc"),
("Something", "14/08/2017", "something else", "something more", "etc")]
那是 DD/MM/YYYY 我需要它按第二个值反向排序。
第一次尝试:
我试过了,但它只按天排序,而不是按月排序。
def sort_by(my_list, index):
my_list.sort(key=lambda x: x[index], reverse=True)
return my_list
结果图片(忽略颜色,它来 self 的 GUI):https://image.prntscr.com/image/ZeIgzxNaQ2OD4VX0Yztnhw.png
如您所见,它只按天排序,而不是按月排序,因此每次日期变化时,它都会从一个月跳到另一个月。真是一团糟。
第二次尝试:
def sort_by_date(my_list, index):
for record, data in enumerate(my_list):
split = data[index].split("/")
altered_record = my_list[record]
altered_record[index] = split[2]+"-"+split[1]+"-"+split[0]
my_list.sort(key=lambda x: x[index], reverse=True)
return my_list
那时我意识到它不会工作,因为元组不允许项目分配,所以我必须将整个数据转换为列表列表而不是元组列表。即使我这样做了,我也怀疑它是否有效,而且它会花费很多时间来完成这项工作。
所以我的问题是:
您将如何按 DD/MM/YYYY 对元组列表进行排序?
根据@juanpa.arrivillaga 的评论,所需的输出是按日期反向排序的列表:
31/12/2017
30/12/2017
29/12/2017
28/12/2017
(And the next days of that month)
30/11/2017
29/11/2017
28/11/2017
27/11/2017
(And so go on)
编辑:如果可能,我想将日期保留为字符串,而不更改日期类型。
请您参考如下方法:
您可以为此使用 Python 的 datetime 模块:
from pprint import pprint
from datetime import datetime
database = [("Something", "10/08/2017", "something else", "something more", "etc"),
("Something", "16/08/2017", "something else", "something more", "etc"),
("Something", "14/07/2017", "something else", "something more", "etc"),
("Something", "14/08/2017", "something else", "something more", "etc"),
("Something", "15/07/2017", "something else", "something more", "etc"),
("Something", "14/08/2017", "something else", "something more", "etc")]
pprint(sorted(database, key=lambda x: datetime.strptime(x[1], "%d/%m/%Y"), reverse=True))
有输出:
[('Something', '16/08/2017', 'something else', 'something more', 'etc'),
('Something', '14/08/2017', 'something else', 'something more', 'etc'),
('Something', '14/08/2017', 'something else', 'something more', 'etc'),
('Something', '10/08/2017', 'something else', 'something more', 'etc'),
('Something', '15/07/2017', 'something else', 'something more', 'etc'),
('Something', '14/07/2017', 'something else', 'something more', 'etc')]
