Python的CSV阅读器和迭代

Question

我有一个CSV文件,如下所示:

"Company, Inc.",,,,,,,,,,,,10/30/09
A/R Summary Aged Analysis Report,,,,,,,,,,,,10:35:01
All Clients,,,,,,,,,,,,USER

Client Account,Customer Name,15-Jan,16 - 30,31 - 60,61 - 90,91 - 120,120 - Over,Total,Status,Credit Limit
1000001111,CLIENT A,0,0,"3,711.32",0,0,"18,629.64","22,340.96",COD,"20,000.00"
1000002222,CLIENT B,0,0,0,"3,591.27",0,0,"3,591.27",COD,0
1000003333,CLIENT C,536.78,0,0,0,0,"11,216.60","11,753.38",COD,0
1000004444,CLIENT D,0,514.94,"3,147.45",690,0,0,"4,352.39",COD,0

Grand Total,,"139,203,856.06","84,607,749.30","110,746,640.18","58,474,379.45","52,025,869.06","292,653,734.82","737,712,228.87",,,,

但我只想处理"客户帐户..."行之后和"总计..."之前的行.这是我现在使用的代码:

inputFile = csv.reader(open(filename), dialect='excel')
records = [line for line in inputFile if line and line[0].isdigit()]

Answer 1

通过发电机.您可以通过简单的生成器过滤器功能构建各种复杂性.虽然比过滤器复杂得多,但它更易于扩展,并且可以轻松处理非常复杂的电子表格.

def skip_blank( rdr ):
    for row in rdr:
        if len(row) == 0: continue
        if all(len(col)==0 for col in row): continue
        yield row

def after_heading( text, rdr ):
    i= iter(rdr)
    for row in i:
        if any( column == text for column in row ):
            break
    for row in i:
        yield row

def before_footing( text, rdr ):
    for row in rdr:
        if any( column == text for column in row ):
            break
        yield row

def between( start, end, rdr ):
    for row in before_footing( end, after_heading( start, rdr ) ):
        yield row

for row in between( 'Grand Total', 'Client Account', skip_blank( inputFile ) ):
    print row

Answer 2

你可以这样做,通过设置标志

import csv
file = "file"
f=0
reader = csv.reader(open(file),delimiter=',')
for row in reader:
    if "Grand Total" in row: break
    if "Client Account" in row: f=1;continue
    if f:
        if row[0].isdigit():
            print row

Answer 3

import re
import StringIO

data=re.search("Client Account[^\r\n]+[\r\n]+(.*)(?=Grand Total)",open(filename).read(),re.DOTALL).group(1)
datafile=StringIO.StringIO(data)

inputFile = csv.reader(datafile, dialect='excel')
records = [line for line in inputFile if line and line[0].isdigit()]