如何使用Python仅打印csv文件中的前10行?

时间:2016-05-07 12:25:02

标签: python python-3.x csv

我是Python的新手,我想只打印一个巨大的csv文件的前10行。

到目前为止,我的代码打印了csv文件中的所有行

import csv
with open('titanic.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in reader:
        print(row['survived'], row['pclass'], row['name'], row['sex'], row['age'])

4 个答案:

答案 0 :(得分:12)

使用itertools.islice

import csv
from itertools import islice

with open('titanic.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in islice(reader, 10): # first 10 only
        print(row['survived'], row['pclass'], row['name'], row['sex'], row['age'])

在您了解情况时,您还可以使用operator.itemgetter使列更容易:

import csv
from itertools import islice
from operator import itemgetter

get_columns = itemgetter('survived', 'pclass', 'name', 'sex', 'age')

with open('titanic.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in islice(reader, 10): # first 10 only
        print(*get_columns(row))

答案 1 :(得分:11)

你可以在10行之后break

import csv
with open('titanic.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for i,row in enumerate(reader):
        print(row['survived'], row['pclass'], row['name'], row['sex'], row['age'])
        if(i >= 9):
            break

答案 2 :(得分:1)

Adrien El Zein的回答足以满足您的提问。但是,如果您认为它有点令人困惑(我不这么认为):

import csv
counter = 0

with open('titanic.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in enumerate(reader):
       print(row['survived'], row['pclass'], row['name'], row['sex'], row['age'])
       counter += 1
       if counter >= 9:
           break

我所做的就是将变量i重命名为counter。另外,对于替代循环:

import csv
counter = 0

with open('titanic.csv') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in enumerate(reader):
       print(row['survived'], row['pclass'], row['name'], row['sex'], row['age'])
       while counter < 10:
           counter += 1
       else:
           break

我尝试使用Python 3.4.3测试while-else循环(不确定您拥有哪个版本)并且可以告诉您它正常工作。

答案 3 :(得分:0)

要从csv文件中获取前N行,请选择字段

#for python 3
import csv
from operator import itemgetter
N=11 # to get 10 rows need use 10+1=11
fname='titanic.csv'
get_columns=itemgetter('survived', 'pclass', 'name', 'sex', 'age')

with open(fname,'r') as csvfile:
    reader = csv.DictReader(csvfile.readlines()[0:N])
    [print(*get_columns(row)) for row in reader]

     # or for all fields : use [print(row)) for row in reader]
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