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,,,,

 1 #!/usr/bin/python
 2 
 3 import pandasas pd
 4 
 5 data = pd.read_csv('data.csv',nrows =5)
 6 print(data)
 7 

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$