计算将结果附加到cs的csv中双参数匹配的出现次数

Question

我需要做的是计算如下：

一个人在列表（第8列）中出现的次数，该日期早于行中指定的日期，在第10列中有相同的t数据，在第7列中出现1。你知道吗

一个人（第8列）出现在列表中的次数，该日期早于行中指定的日期，并且第10列中的t数据相同（注意，它们是按时间顺序排序的）

用csv中的原始数据这个例子来演示这一点可能更容易。你知道吗

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

所以你可以看到，在最后一行，Tom Phillips和15t在这一行（第10列）的前几天出现过1次，在这1次出现中，第7列为“1”的出现次数为零。你知道吗

我的csv数据显然比这个大得多，所以高效的技术和建议也将不胜感激。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。你知道吗

谨致问候

Answer 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