小編給大家分享一下python3怎么用re導出文本數據,相信大部分人都還不怎么了解,因此分享這篇文章給大家參考一下,希望大家閱讀完這篇文章后大有收獲,下面讓我們一起去了解一下吧!
文本內容如下,就是一個編譯后的map,我想提取里面的symbol信息,地址,以及在哪些模塊里面使用了
當下面有多行時,也就是在多個.o文件中使用時,怎么提取出每一個.o
表達式是:
_([a-zA-Z0-9_]+)\s+([a-z0-9A-Z]{8})\s+defined\s+in\s+[a-zA-Z0-9_]+.o\s+section\s+.+\n\s+used in\s+([a-zA-Z0-9_]+.o)\s*\n\s*(\w+.o)\n\s*(\w+.o)
問題1:
當需要匹配多個“ ******.o”時如何匹配
問題2:
如何把所有滿足條件的都匹配出來,
_PfTORQ_r_ThermEffCorrMult 000fe417 defined in torqmall.o section .bss used in torqmctl.o torqmrat.o _PeTORQ_GearState 000fe419 defined in torqmall.o section .bss used in torq_meth_jac.o torq_mulf_jac.o torqmgve.o torqmgvv.o etcdmtps.o _PeTORQ_GearStatePrev 000fe41a defined in torqmall.o section .bss _PeTORQ_GearStateDsrd 000fe41b defined in torqmall.o section .bss _VfTORQ_AXIS_RPM_W_11Brk 000fe41c defined in torqmall.o section .bss used in torqmdes.o tqdrmall.o
解決方法:
re.findall(pattern, string, flags=0)
范例:
>>> text = "He was carefully disguised but captured quickly by police." >>> re.findall(r"\w+ly", text) ['carefully', 'quickly']
測試:
In [1]: yourstr="""_PfTORQ_r_ThermEffCorrMult 000fe417 defined in torqmall.o section .bss used in torqmctl.o torqmrat.o _PeTORQ_GearState 000fe419 defined in torqmall.o section .bss used in torq_meth_jac.o torq_mulf_jac.o torqmgve.o torqmgvv.o etcdmtps.o _PeTORQ_GearStatePrev 000fe41a defined in torqmall.o section .bss _PeTORQ_GearStateDsrd 000fe41b defined in torqmall.o section .bss _VfTORQ_AXIS_RPM_W_11Brk 000fe41c defined in torqmall.o section .bss used in torqmdes.o tqdrmall.o""" In [2]: re.findall('\w+\.o',yourstr) Out[2]: ['torqmall.o', 'torqmctl.o', 'torqmrat.o', 'torqmall.o', 'torq_meth_jac.o', 'torq_mulf_jac.o', 'torqmgve.o', 'torqmgvv.o', 'etcdmtps.o', 'torqmall.o', 'torqmall.o', 'torqmall.o', 'torqmdes.o', 'tqdrmall.o']
以上是python3怎么用re導出文本數據的所有內容,感謝各位的閱讀!相信大家都有了一定的了解,希望分享的內容對大家有所幫助,如果還想學習更多知識,歡迎關注億速云行業資訊頻道!
免責聲明:本站發布的內容(圖片、視頻和文字)以原創、轉載和分享為主,文章觀點不代表本網站立場,如果涉及侵權請聯系站長郵箱:is@yisu.com進行舉報,并提供相關證據,一經查實,將立刻刪除涉嫌侵權內容。