我已经开立了一个小卷宗,我想对每一座str子进行分类,这些str子是分开的,其行文相同:
页: 1
name,sal,dept
tom,10000,it
o/p 缩略语
我有一份已经公开的文件,因此我不能使用“开放”的预报器,我必须使用“快乐器”,而“快乐器”必须随时读到一条线。
我已经开立了一个小卷宗,我想对每一座str子进行分类,这些str子是分开的,其行文相同:
页: 1
name,sal,dept
tom,10000,it
o/p 缩略语
我有一份已经公开的文件,因此我不能使用“开放”的预报器,我必须使用“快乐器”,而“快乐器”必须随时读到一条线。
开放阅读的档案如果受一个变数名称的约束,即fin
;假设你重新使用< 2.6”,则你知道档案不是空的(至少是头盔一行):
import csv
rd = csv.reader(fin)
headers = next(rd)
for data in rd:
...process data and headers...
在A/63/12.5中,使用<代码>headers = rd.next()而不是headers = 下一个(rd)
。
这些版本使用一个领域清单<代码>/代码>,这是一个完整的一般解决办法(即,您无需事先了解档案中有多少栏目:作为<代码>、[0]、<编码>>>>、数据3.1等,而目前的行文有<代码>len(数据)各栏。
如果你知道档案有三栏,更倾向于使用每栏变量的单独名称,则会长改为:
for name, sales, department in rd:
读者(如头盔人员)所交回的外地数据都是直线的。 如果你知道第二栏是隐蔽的,希望按此处理,就开始排行。
for data in rd:
data[1] = int(data[1])
或者,如果你重新使用点名变量:
for name, sales, department in rd:
sales = int(sales)
我不知道我是否正确理解你的问题。 请参看。 无论如何。
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