正則表達式匹配開始模式

Question

之間的所有內容我有一個包含多行字符串的日誌文件。每個日誌條目將以這種格式的日期和時間開始2016/07/15 14:20:57:642。有可能使用正則表達式來提取這段日期間的一切嗎？

2016/07/15 14:20:57:642 Log info 
2016/07/15 14:22:37:213 Log info 
2016/07/15 14:34:41:286 Log info 
2016/07/15 14:44:09:618 Log info 
2016/07/15 15:02:40:539 Log info 
2016/07/15 15:02:40:700 Uploading Activities <KBDailyDataCollection: 0x7fbe7c9b4af0> { 
    data =  (
    ); 
} 
2016/07/15 15:02:40:709 Uploading Activities <KBDailyDataCollection: 0x7fbe7c8a48e0> { 
    data =  (
    ); 
} 
2016/07/15 15:02:40:710 Uploading Activities <KBDailyDataCollection: 0x7fbe7c9c10c0> { 
    data =  (
    ); 
} 
2016/07/15 15:02:40:713 Uploading Activities <KBDailyDataCollection: 0x7fbe7c87f540> { 
    data =  (
    ); 
} 
2016/07/15 15:02:48:277 Uploading Activities <KBDailyDataCollection: 0x7fbe7c8d3e80> { 
    data =  (
    ); 
} 
2016/07/15 15:04:57:072 Log info 
2016/07/15 15:04:57:216 Uploading Activities <KBDailyDataCollection: 0x7f95d2df0e60> { 
    data =  (
    ); 
} 
2016/07/15 15:04:57:219 Uploading Activities <KBDailyDataCollection: 0x7f95d2f235d0> { 
    data =  (
    ); 
} 
2016/07/15 15:04:57:221 Uploading Activities <KBDailyDataCollection: 0x7f95d51b6520> { 
    data =  (
    ); 
} 
2016/07/15 15:04:57:225 Uploading Activities <KBDailyDataCollection: 0x7f95d2f4a950> { 
    data =  (
    ); 
} 
2016/07/15 15:29:50:543 Log info 
2016/07/15 15:29:50:721 Uploading Activities <KBDailyDataCollection: 0x7ff6e6158be0> { 
    data =  (
    ); 
} 
2016/07/15 15:29:50:725 Uploading Activities <KBDailyDataCollection: 0x7ff6e60ae2f0> { 
    data =  (
    ); 
} 
2016/07/15 15:29:50:728 Uploading Activities <KBDailyDataCollection: 0x7ff6e60b1790> { 
    data =  (
    ); 
} 
2016/07/15 15:29:50:732 Uploading Activities <KBDailyDataCollection: 0x7ff6e6180b50> { 
    data =  (
    ); 
} 
2016/07/15 15:33:34:046 Uploading Activities <KBDailyDataCollection: 0x7ff6e3da5840> { 
    data =  (
    ); 
} 
2016/07/15 15:33:41:379 Uploading Activities <KBDailyDataCollection: 0x7ff6e6188340> { 
    data =  (
    ); 
} 
2016/07/15 15:34:13:570 Log info 
2016/07/15 15:34:13:764 Uploading Activities <KBDailyDataCollection: 0x7fa3c399ac40> { 
    data =  (
    ); 
} 
2016/07/15 15:34:13:765 Uploading Activities <KBDailyDataCollection: 0x7fa3c38bc710> { 
    data =  (
    ); 
} 
2016/07/15 15:34:13:766 Uploading Activities <KBDailyDataCollection: 0x7fa3c39a81f0> { 
    data =  (
    ); 
} 
2016/07/15 15:34:13:767 Uploading Activities <KBDailyDataCollection: 0x7fa3c3999d70> { 
    data =  (
    ); 
} 
2016/07/15 15:36:04:247 Log info 
2016/07/15 15:36:04:462 Uploading Activities <KBDailyDataCollection: 0x7fa4c8c11030> { 
    data =  (
    ); 
} 
2016/07/15 15:36:04:466 Uploading Activities <KBDailyDataCollection: 0x7fa4cb04b220> { 
    data =  (
    ); 
} 
2016/07/15 15:36:04:477 Uploading Activities <KBDailyDataCollection: 0x7fa4c8f6cab0> { 
    data =  (
    ); 
} 
2016/07/15 15:36:04:484 Uploading Activities <KBDailyDataCollection: 0x7fa4cb121d00> { 
    data =  (
    ); 
} 
2016/07/15 15:41:32:582 Uploading Activities <KBDailyDataCollection: 0x7fa4cb06f160> { 
    data =  (
    ); 
} 
2016/07/15 15:45:51:920 Log info 
2016/07/15 15:45:52:119 Uploading Activities <KBDailyDataCollection: 0x7fefcb417a00> { 
    data =  (
    ); 
} 
2016/07/15 15:45:52:121 Uploading Activities <KBDailyDataCollection: 0x7fefcd977670> { 
    data =  (
    ); 
} 
2016/07/15 15:45:52:122 Uploading Activities <KBDailyDataCollection: 0x7fefcda09060> { 
    data =  (
    ); 
} 
2016/07/15 15:45:52:125 Uploading Activities <KBDailyDataCollection: 0x7fefcb6995b0> { 
    data =  (
    ); 
} 
2016/07/15 15:45:56:136 Uploading Activities <KBDailyDataCollection: 0x7fefcb7f79e0> { 
    data =  (
    ); 
} 
2016/07/15 15:47:01:250 Log info 
2016/07/15 15:47:01:449 Uploading Activities <KBDailyDataCollection: 0x7ff82acb6f90> { 
    data =  (
    ); 
} 
2016/07/15 15:47:01:451 Uploading Activities <KBDailyDataCollection: 0x7ff82d196ad0> { 
    data =  (
    ); 
} 
2016/07/15 15:47:01:454 Uploading Activities <KBDailyDataCollection: 0x7ff82ac32000> { 
    data =  (
    ); 
} 
2016/07/15 15:47:01:456 Uploading Activities <KBDailyDataCollection: 0x7ff82afde380> { 
    data =  (
    ); 
} 
2016/07/15 15:47:48:261 Log info 
2016/07/15 15:47:48:524 Uploading Activities <KBDailyDataCollection: 0x7fc2bd0722c0> { 
    data =  (
    ); 
} 
2016/07/15 15:47:48:529 Uploading Activities <KBDailyDataCollection: 0x7fc2bad2edf0> { 
    data =  (
    ); 
} 
2016/07/15 15:47:48:533 Uploading Activities <KBDailyDataCollection: 0x7fc2bae7a540> { 
    data =  (
    ); 
} 
2016/07/15 15:47:48:539 Uploading Activities <KBDailyDataCollection: 0x7fc2bd0dfd00> { 
    data =  (
    ); 
} 
2016/07/15 15:49:01:597 Log info 
2016/07/15 15:49:01:811 Uploading Activities <KBDailyDataCollection: 0x7ff2305cb860> { 
    data =  (
    ); 
} 
2016/07/15 15:49:01:812 Uploading Activities <KBDailyDataCollection: 0x7ff2328ba5b0> { 
    data =  (
    ); 
} 
2016/07/15 15:49:01:815 Uploading Activities <KBDailyDataCollection: 0x7ff23289d870> { 
    data =  (
    ); 
} 
2016/07/15 15:49:01:817 Uploading Activities <KBDailyDataCollection: 0x7ff2304a6880> { 
    data =  (
    ); 
} 
2016/07/15 15:50:32:141 Log info 
2016/07/15 15:50:32:285 Uploading Activities <KBDailyDataCollection: 0x7f8eb8426e70> { 
    data =  (
    ); 
} 
2016/07/15 15:50:32:287 Uploading Activities <KBDailyDataCollection: 0x7f8eba898f40> { 
    data =  (
    ); 
} 
2016/07/15 15:50:32:291 Uploading Activities <KBDailyDataCollection: 0x7f8ebaa48be0> { 
    data =  (
    ); 
} 
2016/07/15 15:50:32:294 Uploading Activities <KBDailyDataCollection: 0x7f8eb8537090> { 
    data =  (
    ); 
} 
2016/07/15 15:54:32:171 Uploading Activities <KBDailyDataCollection: 0x7f8eba9c4980> { 
    data =  (
    ); 
} 

結果會像這些比賽

Log info 

    Log info 

    Log info 

    Log info 

    Log info 

Uploading Activities <KBDailyDataCollection: 0x7fbe7c9b4af0> { 
    data =  (
    ); 
} 

迄今取得的進展，還是不行。

([0-9]{4}\/[0-9]{2}\/[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}:[0-9]{3})([\s\S]*?)([0-9]{4}\/[0-9]{2}\/[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2}:[0-9]{3}) 

Answer 1

例如，你可以使用RegExr以交互方式得到你需要的表情，然後執行字符串能夠濾除日期多行模式代替你並不需要：

import re 
re.sub(r"\d{4}\/\d{2}\/\d{2} \d{2}:\d{2}:\d{2}:\d{3}", r"", input_text, re.M) 

\ d指數字。 {n}表示應該有n個匹配項。