python 获取csv文件的前几行

GreydeMac-mini:chapter06 greyzhang$ cat data.csv

,name_01,coment_01,,,,

2,name_02,coment_02,,,,

3,name_03,coment_03,,,,

4,name_04,coment_04,,,,

5,name_05,coment_05,,,,

6,name_06,coment_06,,,,

7,name_07,coment_07,,,,

8,name_08,coment_08,,,,

9,name_09,coment_09,,,,

10,name_10,coment_10,,,,

11,name_11,coment_11,,,,

12,name_12,coment_12,,,,

13,name_13,coment_13,,,,

14,name_14,coment_14,,,,

15,name_15,coment_15,,,,

16,name_16,coment_16,,,,

17,name_17,coment_17,,,,

18,name_18,coment_18,,,,

19,name_19,coment_19,,,,

20,name_20,coment_20,,,,

21,name_21,coment_21,,,,

#!/usr/bin/python

import pandasas pd

data = pd.read_csv('data.csv',nrows =5)

print(data)

GreydeMac-mini:chapter06 greyzhang$ python row_test.py

Unnamed: 0 name_01 coment_01 Unnamed: 3 Unnamed: 4 Unnamed: 5 \

0      2 name_02 coment_02   NaN    NaN       NaN

1      3 name_03 coment_03   NaN    NaN       NaN

2      4 name_04 coment_04   NaN    NaN       NaN

3      5 name_05 coment_05   NaN    NaN       NaN

4      6 name_06 coment_06   NaN    NaN       NaN

 Unnamed: 6

0   NaN

1   NaN

2   NaN

3   NaN

4   NaN

GreydeMac-mini:chapter06 greyzhang$