https://blog.csdn.net/overstack/article/details/9001849

上述连接很重要，看一下

https://blog.csdn.net/overstack/article/details/9001849

In [1021]: print open('foo.csv').read()
date,A,B,C
20090101,a,1,2
20090102,b,3,4
20090103,c,4,5
The default for read_csv is to create a DataFrame with simple numbered rows:

In [1022]: pd.read_csv('foo.csv')
Out[1022]: 
       date  A  B  C
0  20090101  a  1  2
1  20090102  b  3  4
2  20090103  c  4  5
In the case of indexed data, you can pass the column number or column name you wish to use as the index:

In [1023]: pd.read_csv('foo.csv', index_col=0)
Out[1023]: 
          A  B  C
date             
20090101  a  1  2
20090102  b  3  4
20090103  c  4  5
In [1024]: pd.read_csv('foo.csv', index_col='date')
Out[1024]: 
          A  B  C
date             
20090101  a  1  2
20090102  b  3  4
20090103  c  4  5
You can also use a list of columns to create a hierarchical index: