2016-04-16 45 views
0

我試圖獲取這個數據幀中的所有數據(日期,時間,開放,高,低,關閉,音量),這是在這段時間之間的09:04 :00和09:25:00。獲取python中的特定列變量之間的數據

我真的很感謝所有幫助和你的時間,

這裏的CSV

DATE,TIME,開盤價,最高價,最低價,收盤價,成交量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, 3045.00,3044.50,3045.0 0,51 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 02/03/1997,09:31:00,3045.00,3045.50,3045.00,3045.50,75 02/03/1997,09:32:00,3045.50,3045.50,3044.00,3044.00,54 02/03 /1997,09:33:00,3043.50,3044.50,3043.50,3044.00,96 02/03/1997,09:34:00,3044.00,3044.50,3044.00,3044.50,27 02/03/1997,09:35 :00,3044.50,3044.50,3043.50,3044.50,44 02/03/1997,09:36:00,3044.00,3044.00,3043.00,3043.00,61 02/03/1997,09:37:00,3043.50,3043.50 ,3043.50,3043.50,18

感謝您的時間

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使用[熊貓](HTTP://pandas.pydata。 org /) – Evert

回答

1

可以使datetime列的索引,然後使用between_time()

df = pd.read_csv(fn, parse_dates=[[0, 1]], index_col=0) 
df.between_time("09:04:00", "09:25:00") 
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謝謝這總是很容易,很難找到我猜。真的很感激它! –