将日期字符串列表重新格式化为Python中的日,月,年 [英] Reformatting a list of date strings to day, month, year in Python
问题描述
我想更改列表中字符串的格式。他们是日期,但已被转换成字符串。
I want to change the format of strings in a list. They are dates but have been converted into strings.
我已经找遍了这个解决方案,但似乎只有一个元素的答案。
I have looked all over for this solution, but there seem to only be answers for a single element.
首先我做一个系列
Date_List = df.loc['receiveddate']
print Date_List
Element1 2015-06-26
Element2 2015-06-25
Element3 2015-06-26
Element4 2015-06-25
Element5 2015-06-25
Element6 2015-07-01
然后我将它转换成列表。
Then I convert it into a list.
Date_List = [str(i) for i in Date_List]
这给了我
which gives me
['2015-06-26', '2015-06-25', '2015-06-26', '2015-06-25', '2015-06-25', '2015-07-01']
相反,我想要一个日期,月份,年份的字符串列表
Instead, I want a list of strings that go day, month, year
['06-26-2015', '06-25-2015...etc.]
我发现最常见的建议是使用strftime。尝试 Date_List =(datetime.datetime.strptime(i,%B%d-%Y)为我在Date_List)
给了我 ValueError :时间数据'2015-06-26'不符合格式'%B%d-%Y'
I've found that the most common suggestion is to use strftime. Trying Date_List = (datetime.datetime.strptime(i, "%B %d-%Y") for i in Date_List)
Just gave me ValueError: time data '2015-06-26' does not match format '%B %d-%Y'
(Date_List)(datetime.datetime.strptime(i,%Y-%m-%d)为我在Date_List $)
So I tried
Date_List = (datetime.datetime.strptime(i, "%Y-%m-%d") for i in Date_List)
返回 ['2015-06-26 00:00:00', '2015-06-25 00:00:00','2015-06-26 00:00:00','2015-06-25 00:00:00','2015-06-25 00:00:00 ','2015-07-01 00:00:00']
有谁知道如何重新格式化列表?或者也许更早,重新格式化系列?谢谢。
Does anybody know how to reformat the list? Or perhaps earlier, reformatting the Series? Thank you.
推荐答案
您甚至不需要使用 datetime
这里。只需将这些对象映射到一个将它们转换为字符串并将它们分割在 -
上的函数,然后使用 str.format()
:
You don't even need to use datetime
here. Just map those objects to a function that turns them into strings and splits them on the -
, then use str.format()
:
Date_List = ['{}-{}-{}'.format(m,d,y) for y, m, d in map(lambda x: str(x).split('-'), Date_List)]
另外,从你的代码片段看起来你想要的是第一个月,而不是一天。
Also, from your code snippet it looks like you want the month first, not the day.
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