Python 将结果附加到csv中，计算csv中双参数匹配的出现次数

我需要做的是计算以下各项：

一个人出现在列表（第8列）中的次数，该日期早于行中指定的日期，第10列中的t数据相同，第7列中的a 1出现

一个人（第8列）在行中指定日期之前的日期出现在列表中的次数，第10列中具有相同的t数据（注意，它们按时间顺序排序）

用csv原始数据的例子来演示这一点可能更容易

02/01/2005,Data,Class xpv,4,11yo+,4,1,George Smith,data,15t
02/01/2005,Data,Class xpv,4,11yo+,4,2,Ted James,data,22t
02/01/2005,Data,Class xpv,4,11yo+,4,3,Emma Lilly,data,22t
02/01/2005,Data,Class xpv,4,11yo+,4,5,George Smith,data,25t
02/01/2005,Data,Class tn2,4,10yo+,6,4,Tom Phillips,data,15t
03/01/2005,Data,Class tn2,4,10yo+,6,2,Tom Phillips,data,25t
03/01/2005,Data,Class tn2,4,10yo+,6,5,George Smith,data,22t
03/01/2005,Data,Class tn2,4,10yo+,6,3,Tom Phillips,data,25t
03/01/2005,Data,Class tn2,4,10yo+,6,1,Emma Lilly,data,25t
03/01/2005,Data,Class tn2,4,10yo+,6,6,George Smith,data,15t
04/01/2005,Data,Class tn2,4,10yo+,6,6,Ted James,data,25t
04/01/2005,Data,Class tn2,4,10yo+,6,3,Tom Phillips,data,22t
04/01/2005,Data,Class tn2,4,10yo+,6,2,George Smith,data,22t
04/01/2005,Data,Class tn2,4,10yo+,6,4,George Smith,data,25t
04/01/2005,Data,Class tn2,4,10yo+,6,1,George Smith,data,15t
04/01/2005,Data,Class tn2,4,10yo+,6,5,Tom Phillips,data,25t
05/01/2005,Data,Class 22zn,2,10yo+,5,3,Emma Lilly,data,25t
05/01/2005,Data,Class 22zn,2,10yo+,5,1,Ted James,data,22t
05/01/2005,Data,Class 22zn,2,10yo+,5,2,George Smith,data,22t
05/01/2005,Data,Class 22zn,2,10yo+,5,4,Emma Lilly,data,25t
05/01/2005,Data,Class 22zn,2,10yo+,5,5,Tom Phillips,data,15t

根据所述说明，我需要csv的外观：

02/01/2005,Data,Class xpv,4,11yo+,4,1,George Smith,data,15t,0,0
02/01/2005,Data,Class xpv,4,11yo+,4,2,Ted James,data,22t,0,0
02/01/2005,Data,Class xpv,4,11yo+,4,3,Emma Lilly,data,22t,0,0
02/01/2005,Data,Class xpv,4,11yo+,4,5,George Smith,data,25t,0,0
02/01/2005,Data,Class tn2,4,10yo+,6,4,Tom Phillips,data,15t,0,0
03/01/2005,Data,Class tn2,4,10yo+,6,2,Tom Phillips,data,25t,0,0
03/01/2005,Data,Class tn2,4,10yo+,6,5,George Smith,data,22t,0,0
03/01/2005,Data,Class tn2,4,10yo+,6,3,Tom Phillips,data,25t,0,0
03/01/2005,Data,Class tn2,4,10yo+,6,1,Emma Lilly,data,25t,0,0
03/01/2005,Data,Class tn2,4,10yo+,6,6,George Smith,data,15t,1,1
04/01/2005,Data,Class tn2,4,10yo+,6,6,Ted James,data,25t,0,0
04/01/2005,Data,Class tn2,4,10yo+,6,3,Tom Phillips,data,22t,0,0
04/01/2005,Data,Class tn2,4,10yo+,6,2,George Smith,data,22t,0,1
04/01/2005,Data,Class tn2,4,10yo+,6,4,George Smith,data,25t,0,1
04/01/2005,Data,Class tn2,4,10yo+,6,1,George Smith,data,15t,1,2
04/01/2005,Data,Class tn2,4,10yo+,6,5,Tom Phillips,data,25t,0,2
05/01/2005,Data,Class 22zn,2,10yo+,5,3,Emma Lilly,data,25t,1,1
05/01/2005,Data,Class 22zn,2,10yo+,5,1,Ted James,data,22t,0,1
05/01/2005,Data,Class 22zn,2,10yo+,5,2,George Smith,data,22t,0,2
05/01/2005,Data,Class 22zn,2,10yo+,5,4,Emma Lilly,data,25t,1,1
05/01/2005,Data,Class 22zn,2,10yo+,5,5,Tom Phillips,data,15t,0,1

因此，您可以看到，在最后一行，Tom Phillips和15t在这一行（第10列）的前几天发生了1次，在这1次出现中，第7列为“1”的出现次数为零

我的csv数据显然比这大得多，因此高效的技术和建议也将受到赞赏。如果需要更多的澄清，请这样说，很难说这个例子是否可以理解

AEA的种类

非常微小的变化：

import csv
import datetime
import copy
from collections import defaultdict

with open(r"C:\Temp\test2.csv") as i, open(r"C:\Temp\results2.csv", "wb") as o:
    rdr = csv.reader(i)
    wrt = csv.writer(o)

    # data is a dictionary where we will save current and previous data like:
    # {
    #    (George Smith, 15t): [
    #         previous date count when column 7 = 1,
    #         previous date count,
    #         current date count when column 7 = 1,
    #         current date count
    #    ]
    data, currdate = defaultdict(lambda:[0, 0, 0, 0]), None
    for line in rdr:
        date = datetime.datetime.strptime(line[0], '%d/%m/%Y')

        # key of dictionary would be tuple looking like
        # (George Smith, 15t)
        name = (line[7], line[9])

        # if date is changed, we have to put current values into previous
        # by copying part of the list
        #
        #    (George Smith, 15t): [
        #         previous date count when column 7 = 1,
        #         previous date count,
        #         current date count when column 7 = 1,
        #         current date count
        #    ]
        #
        # becomes
        #
        #    (George Smith, 15t): [
        #         current date count when column 7 = 1,
        #         current date count
        #         current date count when column 7 = 1,
        #         current date count
        #    ]
        # and then we change currdate variable to current one

        if date != currdate or not currdate:
            for v in data.itervalues(): v[:2] = v[2:]
            currdate = date

        # writing current line + first 2 elements from list (previous counts)
        wrt.writerow(line + data[name][:2])

        # updating current counts
        data[name][3] += 1
        if line[6] == "1": data[name][2] += 1

非常小的变化：

import csv
import datetime
import copy
from collections import defaultdict

with open(r"C:\Temp\test2.csv") as i, open(r"C:\Temp\results2.csv", "wb") as o:
    rdr = csv.reader(i)
    wrt = csv.writer(o)

    # data is a dictionary where we will save current and previous data like:
    # {
    #    (George Smith, 15t): [
    #         previous date count when column 7 = 1,
    #         previous date count,
    #         current date count when column 7 = 1,
    #         current date count
    #    ]
    data, currdate = defaultdict(lambda:[0, 0, 0, 0]), None
    for line in rdr:
        date = datetime.datetime.strptime(line[0], '%d/%m/%Y')

        # key of dictionary would be tuple looking like
        # (George Smith, 15t)
        name = (line[7], line[9])

        # if date is changed, we have to put current values into previous
        # by copying part of the list
        #
        #    (George Smith, 15t): [
        #         previous date count when column 7 = 1,
        #         previous date count,
        #         current date count when column 7 = 1,
        #         current date count
        #    ]
        #
        # becomes
        #
        #    (George Smith, 15t): [
        #         current date count when column 7 = 1,
        #         current date count
        #         current date count when column 7 = 1,
        #         current date count
        #    ]
        # and then we change currdate variable to current one

        if date != currdate or not currdate:
            for v in data.itervalues(): v[:2] = v[2:]
            currdate = date

        # writing current line + first 2 elements from list (previous counts)
        wrt.writerow(line + data[name][:2])

        # updating current counts
        data[name][3] += 1
        if line[6] == "1": data[name][2] += 1

---

你试过使用这个模块吗？我厌倦了直接编辑这个单参数版本的代码，但是没有用：你试过使用这个模块吗？我厌倦了直接编辑这个单参数版本的代码，但是没有用：希望是，现在，我希望对您的更改进行反向工程，以解决如何进行三方匹配：）（我真的希望我不必发布该匹配！）您可以使用任意长度的元组作为字典的键，因此我认为这对您来说很容易。再次感谢，这是我的分析协议，我可以想象我自己使用这两段代码200+次Hey Roman，没有任何机会让你对上面的答案发表评论，是吗？我知道它厚颜无耻，但它会帮上很大的忙。嗨，没问题！你想让我解释确切的部分吗？希望是这样，现在我希望对你的更改进行反向工程，以解决如何进行三方匹配：）（我真的希望我不必发布该匹配！）你可以使用任意长度的元组作为字典的键，所以我想这对你来说很容易再次感谢，这是我的分析协议，我可以想象我自己使用这两段代码200多次嘿，罗曼，没有任何机会让你对上面的答案发表评论，是吗？我知道它厚颜无耻，但它会帮上很大的忙。嗨，没问题！你想让我解释一下确切的部分吗？