问题描述
我需要做的是计算如下：
What I need to do is calculate the following:
发生在7列中的次数的人出现在列表中（第8列）上之前，行中具有相同的t个数据栏10中指定的日期的日期和一个1号
The number of times a person appears in the list (column 8) on dates prior to the date specified in the row with the same t data in column 10 and a 1 occurs in column 7.
的人（第8列）之前的行中的，并与在柱10相同的t个数据中指定的日期显示在日期列表的次数（注意它们按时间顺序排序。）
The number of times a person (column 8) appears in the list on dates prior to the date specified in the row and with the same t data in column 10 (note they are sorted chronologically.)
这可能是更容易用一个例子来证明这一点，从CSV。原始数据
It might be easier to demonstrate this with an example, raw data from csv.
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
我需要的CSV看起来像如下描述指令的结果是：
What I need the csv to look like as a result of following the described instructions:
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，最后一行汤姆·菲利普斯15吨已就天previous发生1次到这一个（列10）上的1出现在那里过零事件是1栏目7
So you can see that on the last row Tom Phillips with 15t had occurred 1 times on days previous to this one (column 10) and of those 1 occurrences there had been zero occurrences of column 7 being "1".
我的CSV数据显然比这大得多，所以有效的技术和建议，也将是AP preciated。如果需要更多的澄清，请说出来，它很难说，如果这个例子是可以理解的。
My csv data is obviously much larger than this, so efficient techniques and suggestions would also be appreciated. If more clarification is required please say so, its hard to tell if this example is understandable.
亲切的问候AEA
推荐答案
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
这篇关于在计算一个CSV将结果追加到CSV双参数匹配的出现次数的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！