我正在尝试处理像这样的文本文件:
http://www.sec.gov/Archives/edgar/data/789019/000119312514289961/0001193125-14-289961.txt
如果您看到文件的中间位置,则会出现以下内容:
</TEXT>
</DOCUMENT>
<DOCUMENT>
<TYPE>EXCEL
<SEQUENCE>21
<FILENAME>Financial_Report.xlsx
<DESCRIPTION>IDEA: XBRL DOCUMENT
<TEXT>
begin 644 Financial_Report.xlsx
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M==\%5V:V[3AL0EFK,#!#/3;M<+X)?YY]795A8)T>&MV-@]F$-\:&)\?OWQV=
MW4S&!O[NP6["G7/3QRBR]<[TVJ['R0S^D^TX]]KY?^?S:-+UA3XW4:Q4'M7C
MX,S@5FY_1GA\]-EL]67G@B_7_NW;)+/I;!A\NKUP/VL3ZFGJVEH[GS2Z&IHG
M4U9W$];^SN4:NVLG^\''"*.#$_:?_'W`W7W?_:.9V\8$IWIVWW3O8T377?1[
MG"]^C>/%^OE##J0<M]NV-LU87_;^":SM-!O=V)TQKN_6R^NZU^UPG_N9^<O%
M-EI>Y(V#[+_?<O`K<\20'`DD1PK)D4%RY)`<!21'"<E107*(H@2AB"H44H5B
MJE!0%8JJ0F%5**X*!5:AR!I39(TILL8466.*K#%%UI@B:TR1-:;(&E-DC2FR
M)A19$XJL"476A")K0I$UH<B:4&1-*+(F%%D3BJPI1=:4(FM*D36ER)I29$TI
MLJ8465.*K"E%UI0B:T:1-:/(FE%DS2BR9A19,XJL&476C")K1I$UH\B:4V3-
M*;+F%%ESBJPY1=:<(FM.D36GR)I39,TILA8460N*K`5%UH(B:T&1M:#(6E!D
M+2BR%A19"XJL)476DB)K29&UI,A:4F0M*;*6%%E+BJPE1=:2(FM%D;6BR%I1
M9*THLE8462N*K!5%UHHB:T61M:+(*HI"JRB*K:(HN(JBZ"J*PJLHBJ^B*,"*
MH@@KBD*L*(RQH#H6QEA.(8O3R.)4LCB=+$XIB]/*XM2R,+TLP12S!-/,$DPU
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M4$L#!!0`!@`(````(0"U53`C]0```$P"```+``@"7W)E;',O+G)E;',@H@0"
这好像是一个excel文件?还是XBRL文件?那是什么 ?我如何摆脱它(或以某种方式“处理”它?)这继续成千上万行,所以我猜它是一些附加文件的某些链接的编码?知道怎么处理吗?
我正在尝试在Python中使用BeautifulSoup:
from bs4 import BeautifulSoup
with open("textWithHtml.txt") as markup:
soup = BeautifulSoup(markup.read())
with open("processedText.txt", "w") as f:
f.write(soup.get_text().encode('utf-8'))
但并非所有内容都被删除,而且我注意到在某些情况下甚至没有删除所有html标签..有时运行代码两次删除的内容比第一次运行BeautifulSoup代码时删除的内容更多..
答案 0 :(得分:1)
您正在查看的编码是uuencode
。在Python中,您可以使用uu
模块对此blob进行解码,或者只使用stringdata.decode('uu')
。
uuencode
是一种遗留格式,最初用于在电子邮件中嵌入二进制文件(当时只允许使用7位US-ASCII;该格式对于当时的大铁系统的互操作性也有一些让步。使用了他们自己令人困惑的字符编码)。现在,您希望在此角色中看到base64
。
I posted an answer to the followup question展示了如何在从文件句柄中读取或迭代一堆文本行时删除uuencode blob。
答案 1 :(得分:0)
使用此处提供的sed命令可以有效地解决问题:sed command - apply in all text (.txt) files of folder