【发布时间】：2016-08-25 06:45:11
【问题描述】：
如何删除“oo”列中带有 NAN 值的 DATE 和 TIME。
这是我的 csv
日期、时间、开、高、低、关、音量
02/03/1997,09:04:00,3046.00,3048.50,3046.00,3047.50,505
02/03/1997,09:05:00,3047.00,3048.00,3046.00,3047.00,162
02/03/1997,09:06:00,3047.50,3048.00,3047.00,3047.50,98
02/03/1997,09:07:00,3047.50,3047.50,3047.00,3047.50,228
02/03/1997,09:08:00,3048.00,3048.00,3047.50,3048.00,136
02/03/1997,09:09:00,3048.00,3048.00,3046.50,3046.50,174
02/03/1997,09:10:00,3046.50,3046.50,3045.00,3045.00,134
02/03/1997,09:11:00,3045.50,3046.00,3044.00,3045.00,43
02/03/1997,09:12:00,3045.00,3045.50,3045.00,3045.00,214
02/03/1997,09:13:00,3045.50,3045.50,3045.50,3045.50,8
02/03/1997,09:14:00,3045.50,3046.00,3044.50,3044.50,152
02/03/1997,09:15:00,3044.00,3044.00,3042.50,3042.50,126
02/03/1997,09:16:00,3043.50,3043.50,3043.00,3043.00,128
02/03/1997,09:17:00,3042.50,3043.50,3042.50,3043.50,23
02/03/1997,09:18:00,3043.50,3044.50,3043.00,3044.00,51
02/03/1997,09:19:00,3044.50,3044.50,3043.00,3043.00,18
02/03/1997,09:20:00,3043.00,3045.00,3043.00,3045.00,23
02/03/1997,09:21:00,3045.00,3045.00,3044.50,3045.00,51
02/03/1997,09:22:00,3045.00,3045.00,3045.00,3045.00,47
02/03/1997,09:23:00,3045.50,3046.00,3045.00,3045.00,77
02/03/1997,09:24:00,3045.00,3045.00,3045.00,3045.00,131
02/03/1997,09:25:00,3044.50,3044.50,3043.50,3043.50,138
02/03/1997,09:26:00,3043.50,3043.50,3043.50,3043.50,6
02/03/1997,09:27:00,3043.50,3043.50,3043.00,3043.00,56
02/03/1997,09:28:00,3043.00,3044.00,3043.00,3044.00,32
02/03/1997,09:29:00,3044.50,3044.50,3044.50,3044.50,63
02/03/1997,09:30:00,3045.00,3045.00,3045.00,3045.00,28
这是我的代码。
exp = pd.read_csv('example.txt', parse_dates = [["DATE", "TIME"]], index_col=0)
exp['oo'] = opcl.OPEN.resample("5Min").first()
print exp['oo']
我明白了
DATE_TIME
1997-02-03 09:04:00 NaN
1997-02-03 09:05:00 3047.0
1997-02-03 09:06:00 NaN
1997-02-03 09:07:00 NaN
1997-02-03 09:08:00 NaN
1997-02-03 09:09:00 NaN
1997-02-03 09:10:00 3046.5
我想删除 'oo' 列中包含 NaN 值的所有 DATE_TIME 行。 我试过了。
exp['oo'] = exp['oo'].dropna()
但我得到了同样的结果。 我看了都扔了http://pandas.pydata.org/pandas-docs/stable/missing_data.html
并查看了整个网站。
我想让我的 csv 阅读器保持不变，但 idk。
如果有人可以提供帮助，我们将不胜感激，非常感谢您的宝贵时间。
【问题讨论】：
-
opcl上面没有定义。
标签： python-2.7 date datetime pandas