Question

如何在JSON文件[{"start":"2004-09-8","end":"2005-7-5"}, {"start":"1999-9-7","end":"2000-5-3"}]中找到两个日期之间的间隔

[{"start":"2004-09-8","end":"2005-7-5"},{"gap":how many days gap"{"start":"1999-9-7","end":"2000-5-3"}]

import json
from collections import defaultdict
res = defaultdict(list)
with open(r'/home/vijaya/Documents/task43.json','r') as list:
    data = json.load(list)
    print(data)

Answer 1

您可以只使用datetime并仅检查timedelta，

>>> import datetime
>>> data = [{'start': '2004-09-8', 'end': '2005-7-5'}, {'start': '1999-9-7', 'end': '2000-5-3'}]
>>> 
>>> 
>>> for d in data:
...   start = datetime.datetime.strptime(d['start'], '%Y-%m-%d')
...   end = datetime.datetime.strptime(d['end'], '%Y-%m-%d')
...   d['gap'] = '{} days'.format((end-start).days)
... 
>>> data 
[{'start': '2004-09-8', 'end': '2005-7-5', 'gap': '300 days'}, {'start': '1999-9-7', 'end': '2000-5-3', 'gap': '239 days'}] # gap is in days

我真的建议您使用pendulum进行日期时间操作。这是一个很棒的模块：）

根据最近的要求，我已经更新了代码，

$ cat datediff.py
from datetime import datetime as dt

data = [ { "start":"2002-08-01", "end":"2004-09-12" }, { "start" :"1998-09-12", "end" : "2001-10-11" }, { "start":"1997-08-01", "end":"1998-01-12" }, { "start" :"1995-09-12", "end" : "1997-7-11" } ]

req_data = []
for first, second in zip(data, data[1:]):
    days = (dt.strptime(first['start'], '%Y-%m-%d') - dt.strptime(second['end'], '%Y-%m-%d')).days
    if days <= 0:
        days = (dt.strptime(second['start'], '%Y-%m-%d') - dt.strptime(first['end'], '%Y-%m-%d')).days
    req_data.append(first)
    req_data.append({'days': days})
req_data.append(second)

print(req_data)

输出：

$ python datediff.py
[{'start': '2002-08-01', 'end': '2004-09-12'}, {'days': 294}, {'start': '1998-09-12', 'end': '2001-10-11'}, {'days': 243}, {'start': '1997-08-01', 'end': '1998-01-12'}, {'days': 21}, {'start': '1995-09-12', 'end': '1997-7-11'}]

如何在JSON文件中找到2个日期之间的间隔

1 个答案: