Python 的 CSV 读取器和迭代

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()]

通过发电机。您可以从简单的生成器过滤器函数构建各种复杂性。虽然比您的过滤器复杂得多，但它更具可扩展性，并且可以轻松处理真正复杂的电子表格。

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