仅适用于列表列表中前两个列表的函数

时间:2017-08-30 14:54:08

标签: python python-3.x list

我有这个清单:

mylist = [
    [1890731350060, 'February 2016, March 2016, January 2016', 'INDEMNIZATIA DE HRANA', 1183], 
    [1890922350110, 'May 2015, June 2015, April 2015', 'INDEMNIZATIA DE HRANA', 1183], 
    [1890731350060, 'February 2016, March 2016, January 2016', 'INDEMNIZATIA DE HRANA', 1183]
]

我希望输出它:

mylist = [
    [1890731350060, 'Ian 2016, Feb 2016, Mar 2016', 'INDEMNIZATIA DE HRANA', 1183],
    [1890922350110, 'Iun 2016, Mai 2016, Apr 2016', 'INDEMNIZATIA DE HRANA', 1183],
    [1890731350060, 'Ian 2016, Feb 2016, Mar 2016', 'INDEMNIZATIA DE HRANA', 1183]
]

为此我有这两个功能:

from datetime import datetime
import re
def translateInRo(string, dyct):
    substrs = sorted(dyct, key=len, reverse=True)

    regexp = re.compile('|'.join(map(re.escape, substrs)))

    return regexp.sub(lambda match: dyct[match.group(0)], string)

def orderDateslist(thislist):
    i=0
    for dates in thislist:
        sorted_list = []
        chgDates = dates[1].split(",")
        for test1 in chgDates:
            sorted_list.append(test1.strip())
        test = sorted(sorted_list, key=lambda x: datetime.strptime(x, "%B %Y"))
        str1 = ', '.join(test)
        translate = translateInRo(
            str1, {"January": "Ian", "February": "Feb", "March": "Mar", "April": "Apr", "May": "Mai", "June": "Iun", "July": "Iul", "August": "Aug", "September": "Sept", "October": "Oct", "November": "Nov", "December": "Dec"})
        thislist[i][1] = translate
        i = + 1
    return thislist

当我打印时:

print (orderDateslist(mylist))
[[1890731350060, 'Ian 2016, Feb 2016, Mar 2016', 'INDEMNIZATIA DE HRANA', 1183], [1890922350110, 'Ian 2016, Feb 2016, Mar 2016', 'INDEMNIZATIA DE HRANA', 1183], [1890731350060, 'February 2016, March 2016, January 2016', 'INDEMNIZATIA DE HRANA', 1183]]

最后一个列表将不会被计算出来,我所使用的函数只适用于列表列表中的前2个列表,之后的列表将保持不变,我希望此函数适用于大量列表,我要改变什么?我正在使用python 3.还有最后一个是复制。

2 个答案:

答案 0 :(得分:1)

你可以试试这个:

import re
import itertools

def orderdates(full_date):
    table = {"January": "Ian", "February": "Feb", "March": "Mar", "April": "Apr", "May": "Mai", "June": "Iun", "July": "Iul", "August": "Aug", "September": "Sept", "October": "Oct", "November": "Nov", "December": "Dec"}
    l = ["Ian", "Feb", "Mar", "Apr", "Mai", "Iun", "Iul", "Aug", "Sept", "Oct", "Nov", "Dec"]
    new_dates = re.split(",\s", full_date)
    final_dates = [[a, int(b)] for a, b in [i.split() for i in new_dates]]

    new_dates = sorted(final_dates, key = lambda x: x[-1])

    current = [list(b) for a, b in itertools.groupby(new_dates, lambda x: x[-1])]
    new_current = [[table[i]+" "+str(b) for i, b in c] for c in current]
   final_current = [sorted(b, key= lambda x:l.index(x.split()[0])) for b in new_current]
  return list(itertools.chain.from_iterable(final_current))


mylist = [[1890731350060, 'January 2016, February 2016, March 2015', 'INDEMNIZATIA DE HRANA', 1183], [1890922350110, 'May 2015, June 2015, April 2015', 'INDEMNIZATIA DE HRANA', 1183], [1890731350060, 'February 2016, March 2016, January 2016', 'INDEMNIZATIA DE HRANA', 1183]]

new_data = [[i[0], orderdates(i[1]), i[2:]] for i in mylist]

new_data = [list(itertools.chain(*[[b] if not isinstance(b, list) else b for b in i])) for i in new_data]
print(new_data)

输出:

[[1890731350060, 'Mar 2015', 'Ian 2016', 'Feb 2016', 'INDEMNIZATIA DE HRANA', 1183], [1890922350110, 'Apr 2015', 'Mai 2015', 'Iun 2015', 'INDEMNIZATIA DE HRANA', 1183], [1890731350060, 'Ian 2016', 'Feb 2016', 'Mar 2016', 'INDEMNIZATIA DE HRANA', 1183]]

答案 1 :(得分:1)

<强>问题

为了澄清问题,从您的预期代码中可以看出,您希望将每个子列表的索引1处的日期字符串替换为:

  1. 按时间排序日期
  2. 根据翻译词典缩写月份
  3. 这可以按如下方式完成:

    # Given 
    import datetime
    
    
    mylist = [
        [1890731350060, 'February 2016, March 2016, January 2016', 'INDEMNIZATIA DE HRANA', 1183], 
        [1890922350110, 'May 2015, June 2015, April 2015',         'INDEMNIZATIA DE HRANA', 1183], 
        [1890731350060, 'February 2016, March 2016, January 2016', 'INDEMNIZATIA DE HRANA', 1183]
    ]
    
    TRANSLATE = {
        "January": "Ian", "February": "Feb", "March": "Mar", "April": "Apr",
        "May": "Mai", "June": "Iun", "July": "Iul", "August": "Aug", 
        "September": "Sept", "October": "Oct", "November": "Nov", "December": "Dec"
    }
    

    代码

    def transform_dates(iterable, translate=TRANSLATE):
        transformed_lists = []
        for i, sublst in enumerate(iterable):
            transformed_lists.append(sublst[:])
    
            # Clean dates string
            raw_dates = sublst[1]
            cleaned_dates = set(map(str.strip, raw_dates.split(",")))
    
            # Sort dates string
            months_yrs = sorted(cleaned_dates, key=lambda x: datetime.datetime.strptime(x, "%B %Y"))
            months_yrs_split = [i.split() for i in months_yrs]
    
            # Abbreviate months
            abbrev_dates = [" ".join((translate[i[0]], i[1])) for i in months_yrs_split]
            transformed_lists[i][1] = ", ".join(abbrev_dates)
        return transformed_lists
    
    transform_dates(mylist)
    # [[1890731350060, 'Ian 2016, Feb 2016, Mar 2016', 'INDEMNIZATIA DE HRANA',1183],
    #  [1890922350110, 'Apr 2015, Mai 2015, Iun 2015', 'INDEMNIZATIA DE HRANA',1183],
    #  [1890731350060, 'Ian 2016, Feb 2016, Mar 2016', 'INDEMNIZATIA DE HRANA',1183]]
    

    备注

    此功能按月和年排序。

    lst = [1890731350060, 'February 2015, March 2013, January 2016', 'INDEMNIZATIA DE HRANA', 1183], 
    transform_dates(lst)
    # [[1890731350060, 'Mar 2013, Feb 2015, Ian 2016', 'INDEMNIZATIA DE HRANA', 1183]]
    

    此功能删除重复日期。

    lst = [1890731350060, 'May 2016, June 2016, May 2016, July 2016', 'INDEMNIZATIA DE HRANA', 1183], 
    transform_dates(lst)
    # [[1890731350060,'Mai 2016, Iun 2016, Iul 2016', 'INDEMNIZATIA DE HRANA', 1183]]
    

    <强>详情

    如果您不熟悉Python,我会添加这些详细信息以帮助表达正在发生的事情。

    transform_dates()函数接受名为mylist的列表列表和参数。在函数内部,我们首先创建一个名为transformed_lists的新列表,稍后我们将附加项目。我们现在循环iterable(相当于mylist)以获取每个sublist并跟踪其索引位置(i)。

    我们将sublst的副本添加到transform_dates(因此[:],因为这样我们就无法修改mylist中的原始项目。然后我们开始处理包含日期字符串的第一个索引。我们清理字符串,首先将其拆分为月 - 年对的列表,然后strip尾随和前导空格,例如['February 2016', 'March 2016', 'January 2016']。如果有任何重复日期,set()将删除它们,因为集合是唯一元素的集合。

    为准备下一步,我们借此机会对它们进行日期排序,并split进一步按单个空格排序。拆分会生成一个临时嵌套列表,例如[['January', '2016'], ['February', '2016'], ['March', '2016']]

    最后,对于后一个嵌套列表中的每个项目,我们使用TRANSLATE字典缩短月份,将join()缩写为年份,制作单个新字符串列表,例如['Jan 2016', 'Feb 2016', 'Mar 2016']。然后我们执行最终join(),其中每个项目由逗号(根据请求)分隔,例如, 'Jan 2016, Feb 2016, Mar 2016'

    我们已经完成了对字符串的转换。现在我们通过将新字符串分配给该索引,简单地替换transformed_lists索引1处的旧字符串。总之,我们已经系统地选择了字符串,对其进行了分解,对其进行了转换,将其重新组合在一起并将其重新分配到列表中的原始位置。我们对sublist中的每个iterable重复此过程,直到循环完成。结果是我们的transformed_lists,它由函数返回。