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python - 在python中将Timex字符串转换为日期时间

问题描述

我想将 Timex 日期格式字符串列表（来自 SUTime）转换为正常的日期时间格式。问题是，我有许多不同的类型：

dates = ['2018-07-09', 
         '2018-W15', 
         '2018-02', 
         '2018-04-06',
         '2018-W15',
         '2018-02',
         '2015-09',
         '2018-09-27 INTERSECT P5D',
         'FUTURE_REF',
         'FUTURE_REF',
         'PXY',
         'THIS P1D INTERSECT 2018-09-28',
         {'end': 'XXXX-06', 'begin': 'XXXX-04'}, 
         '2014-03-19',
         '2018-08-02']

我有两个目标：

  1. 忽略所有不直接指示特定日期的条目
  2. 将所有其他格式转换为'yyyy-mm-dd'格式，始终引用年、月、周等的第一天。例如：'2018-02'应该成为'2018-02-01'或'2018-W15' 2018-04-09

我尝试使用 pandas 的pd.to_datetime功能，但这不会将周转换为日期

标签： pythondatetimetimex

解决方案

It's a bit of a challenge when the data collection isn't uniform. I am unfamiliar with Timex and was unable to find any packages that might help.

This might help you out. I wrote some functions that handle each particular case.

import datetime
from pprint import pprint

dates = ['2018-07-09',
         '2018-W15',
         '2018-02',
         '2018-04-06',
         '2018-W15',
         '2018-02',
         '2015-09',
         '2018-09-27 INTERSECT P5D',
         'FUTURE_REF',
         'FUTURE_REF',
         'PXY',
         'THIS P1D INTERSECT 2018-09-28',
         {'end': 'XXXX-06', 'begin': 'XXXX-04'},
         '2014-03-19',
         '2018-08-02']

FORMAT = '%Y-%m-%d'
def get_simple_date(item, strformat=FORMAT):
    try:
        return (True, datetime.datetime.strptime(item, strformat))
    except (ValueError, TypeError):
        return (False, item)

def get_from_split(is_resolved, item):
    if is_resolved:
        return (is_resolved, item)
    try:
        tokens = item.split(' ')
        are_resolved, items = zip(*(get_simple_date(token) for token in tokens))
        if any(are_resolved):
            # assume one valid token
            result, = (item for item in items if isinstance(item, datetime.datetime))
            return (True, result)
    except (ValueError, AttributeError):
        pass
    return (False, item)

def get_from_no_day(is_resolved, item):
    if is_resolved:
        return (is_resolved, item)
    if not 'W' in item:
        try:
            return (True, datetime.datetime.strptime(f'{item}-01', FORMAT))
        except ValueError:
            pass
    return (False, item)

def get_from_w_date(is_resolved, item):
    if is_resolved:
        return (is_resolved, item)
    if 'W' in item:
        return (True, datetime.datetime.strptime(f'{item}-1', "%Y-W%W-%w"))
    return (is_resolved, item)

collection1 = (get_simple_date(item) for item in dates)
collection2 = (get_from_split(*args) for args in collection1)
collection3 = (get_from_no_day(*args) for args in collection2)
collection4 = (get_from_w_date(*args) for args in collection3)
pprint([d for is_resolved, d in collection4 if is_resolved], indent=4)

OUTPUT:

[   datetime.datetime(2018, 7, 9, 0, 0),
    datetime.datetime(2018, 4, 9, 0, 0),
    datetime.datetime(2018, 2, 1, 0, 0),
    datetime.datetime(2018, 4, 6, 0, 0),
    datetime.datetime(2018, 4, 9, 0, 0),
    datetime.datetime(2018, 2, 1, 0, 0),
    datetime.datetime(2015, 9, 1, 0, 0),
    datetime.datetime(2018, 9, 27, 0, 0),
    datetime.datetime(2018, 9, 28, 0, 0),
    datetime.datetime(2014, 3, 19, 0, 0),
    datetime.datetime(2018, 8, 2, 0, 0)]

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