基于DataFrame筛选数据与loc的用法详解

df = ts.trade_cal()

  calendarDate isOpen
0  1990/12/19  1
1  1990/12/20  1
2  1990/12/21  1
3  1990/12/22  0
4  1990/12/23  0
5  1990/12/24  1
6  1990/12/25  1
7  1990/12/26  1
8  1990/12/27  1
9  1990/12/28  1
10  1990/12/29  0
11  1990/12/30  0
12  1990/12/31  1
13  1991/1/1  0
14  1991/1/2  1
15  1991/1/3  1
16  1991/1/4  1
17  1991/1/5  0
18  1991/1/6  0
19  1991/1/7  1
20  1991/1/8  1
21  1991/1/9  1
22  1991/1/10  1
23  1991/1/11  1
24  1991/1/12  0
25  1991/1/13  0
26  1991/1/14  1
27  1991/1/15  1
28  1991/1/16  1
29  1991/1/17  1
...   ...  ...
9845 2017/12/02  0
9846 2017/12/03  0
9847 2017/12/04  1
9848 2017/12/05  1
9849 2017/12/06  1
9850 2017/12/07  1
9851 2017/12/08  1
9852 2017/12/09  0
9853 2017/12/10  0
9854 2017/12/11  1
9855 2017/12/12  1
9856 2017/12/13  1
9857 2017/12/14  1
9858 2017/12/15  1
9859 2017/12/16  0
9860 2017/12/17  0
9861 2017/12/18  1
9862 2017/12/19  1
9863 2017/12/20  1
9864 2017/12/21  1
9865 2017/12/22  1
9866 2017/12/23  0
9867 2017/12/24  0
9868 2017/12/25  1
9869 2017/12/26  1
9870 2017/12/27  1
9871 2017/12/28  1
9872 2017/12/29  1
9873 2017/12/30  0
9874 2017/12/31  0

df[df.calendarDate=="2017/12/31"]

> df[df.calendarDate=="2017/12/31"]
  calendarDate isOpen
9874 2017/12/31  0
> df[df.icol(0)=="2017/12/11"]
__main__:1: FutureWarning: icol(i) is deprecated. Please use .iloc[:,i]
  calendarDate isOpen
9854 2017/12/11  1