我想处理一个包含大量html和uuencode字符的文本文件:
例如,请参阅以下链接中的.txt文件:
https://www.sec.gov/Archives/edgar/data/1522690/000121390016011794/0001213900-16-011794.txt
我使用以下代码:
来自bs4 import BeautifulSoup
def strip_non_ascii(string):
''' Returns the string without non ASCII characters'''
stripped = (c for c in string if 0 < ord(c) < 127)
return ''.join(stripped)
with open("C:/EDGAR/forms_to_process/10K/20160322_10-K_edgar_data_1522690_0001213900-16-011794_1.txt") as f:
lines = f.readlines()
with open("PROCESSED.txt", 'w', encoding='utf-8') as f1:
i=1
for line in lines:
soup = BeautifulSoup(line, "lxml")
print(i, "Initial line: ", line)
print(i, "Soup get text line: ", soup.get_text())
bs_line = soup.get_text()
ascii_line = strip_non_ascii(bs_line)
print(i, "Ascii line: ", ascii_line)
f1.write(ascii_line)
i=i+1
f.close()
f1.close();
将文件从8.5 MB减少到2.5 MB,但它仍然有很多我不需要的元素,例如:
</tr>
<tr style="vertical-align: bottom; background-color: #cceeff;">
<td
style="padding: 0px 0px 0px 10pt; text-indent: -10pt;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td style="text-align: left;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td style="text-align: right;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td style="text-align: left;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td style="text-align: left;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td style="text-align: right;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
<td style="text-align: left;"><font style="font-family: 'times new roman', times, serif;"> </font></td>
和
EXCEL
86
Financial_Report.xlsx
IDEA: XBRL DOCUMENT
begin 644 Financial_Report.xlsx
M4$L#!!0 ( J%=D@6'2-4(0( $8I 3 6T-O;G1E;G1?5'EP97-=
M+GAM;,W:2V[;,! &X*L8VA86S62DZ(U
MW")I8^#?6):'G!EII&_EJV\/@=+BX(8QK:LNY_"!L=1TY&RJ?:"Q1#8^.IO+
M:=RR8)N=W1(3JY5AC1\SC7F9IQS5]=67/<78M[3X> Q,N=>5#6'H&YM[/[+]
MV)YD7?K-IF^H]M31U1=D.=\L- Z5S]8^2I\@UM[-V07U3X\=[5D89Y3>KZ\%CJTZ%D2>6W=56B
MZ5D53C?^K;/>34,+X_:W'=/Y/U[+R4WM[KY[OWO-QX2FJVJI7898%L;M([5?MWH+T\0ZDC_M D56@2*K0)%5H,@J4&05*+(*%%D%BJP215:)(JM$D56BR"I19)4HLDH4626*
MK!)%5HDBJT*15:'(JE!D52BR*A19%8JL"D56A2*K0I%5HMBJP:15:-(JM&D56CR*I19-4HLAH460V*K 9%5H,BJT&1U:#(:E!D-2BR&A19
有没有办法删除这些并仅保留文本文件中包含的相关文字信息?
编辑:从我提供的链接,我想保留的文字的一个例子是:
<P STYLE="font: 10pt/normal Times New Roman,serif; margin: 0; text-align: justify">The table above indicates the current yields
to maturity (YTM) for the senior bonds of selected life insurance carriers with durations, on average, that our similar to our
life insurance portfolio. The average yield to maturity of these bonds was 3.02% which, we believe, reflects in part the
financial market’s judgement that credit risk is low with regard to these carriers’ financial obligations. It should
be noted that the obligations of life insurance carriers to pay life insurance policy benefits is senior in rank to any other obligation.
This “super senior” priority is not reflected in the yield to maturity in the table and, if considered, would result
in a lower yield to maturity all else being equal. As such, as long as the respective premium payments have been made, it is highly
likely that the owner of the insurance policy will collect the insurance policy benefit upon the mortality of the insured.</P>
即。我想删除所有的html标签和uuencoding二进制文件,并只保留文本。
编辑2:
以下Gerrit的回复肯定非常接近我想要达到的目标,对于至少考虑的.txt文件。但是,它仍然在文件末尾留下以下部分:
Actuarial Pricing Systems, LP Model Actuarial
Pricing Systems, LP 33(Q7.U=JG''<]S7/R,ZG4BCJ0V3TKG/'&I;?V=X:N-K;9;C]RA^O4_EFG
M:==/<^*KESYJ(^GP2")\_*26SQV-%M9T2^ER$N(E=_96.&'X J:]=&,<=*\L\2V
MWB>ZTU9M7LH$M[;D-$5!4'CL3QTKH]*\07E[I&CVUFT;(NYU=))9E+!!&!G@$
M9)RO?O6N(3G%3OKL88:2IRE"SMNCL=X]*7--R3Z'/J"VI>Y=WC\L,/)7RB<9
MSR?>CD8O:)['4%@!D\#UKE_'K!O",S @CS(R#G_:%5AKUS=23VDLUO<03V<[
MI)#"Z!2HZ MPXP>HJ'Q!@?#*UQ_SRM^G_ :TI1:J1OW1E6FG3E;LS)70=)?X
M>KJDR>7>>4S"7>?F8,0!CH<]*W_AU<3/X==)22D<[)%GLN G1LGELK%Y,Q;NN>.3R>^>
MU;5IIIPO=W,*$&I1G;:RM]YUV[C.* V:YBPU'4KQX[33Q:0I;6L#R"56;<77(
M5<'@ #KS4"ZI=P2R0V,5LDL^JR6Y+[B.$SN//7CH./I7+RL[>=;G79J.;?Y;
M>7]_:=OUQQ7+2>([Z&W6;*>2TAG%Z]I)<%28U"KNW;_N9M#%]J
M6U6(=SLC*@("<'!YY S^-)Q:!33T/-/#;Z,NHW2>)(B97; >7.U7R=V[N#[F
MO3=$TO3]+LW73&+6\SF4'?O'(QP?3BN?U:#PGX@L)+\7=M%-LW"='VOTXW+W
M^A%8O@W4;^QT'5)X4\R"V>.0HP) &?W@'OMYKLJIU(.:NMM'M\CBHVI3Y&D;]
M]5^IZAFDWO7[&]EL8U>TAFCA$PC:0J-NYWV@Y8#*C ]Z;%>ZC=Z_I
MC07]M);2V;2OY<;;'PR@D#/7GCTYZURM1VNNZ[=)IKJM@HU'>D8*M^Z*Y.X\\\ \<N>*ZN*020QOO1M
MR@[D/!]Q[5+BUN4I)G@##YC]:3%.;[Q^M)7T9\M<3%:WAO\ Y#D'T;^1K*K4
M\.?\AR#Z-_(UE7_AR-B23R64-RK3D%]RNW0D\9Z=33+?1-'MM9?5HK>X%TQ9B2C[
M06ZD#'^/\ 9%.TO6[IY[:QDMY9B$03W&[.
M&9-^>@&.0*J\M7W8NRTI8_P"BQ(%V,N\*#N'S @L,@_A4
M=QX@U18YW2TAAV6;3[)F.X,'*YZ=.,]J/>[A[BOH6;K1-)NWN#(EZ([EM\T2
M&14=O[Q4=^E33Z=837+W*-?V\LBA9&MS;(GF <#=CJ??K5.;Q#=V=U/$8/M,K
M2X2)"<*!$C, 0.>3QFGR^)+M))!'IZLB-(H+SX/[M0S9&..#^='O#O THH;.
M&^>\1+CSWB6%BR.:J0Z1I4.MR:NL5R;Q\Y9E<@9&#
这似乎是uuencoding二进制部分。知道怎么摆脱这个吗?
答案 0 :(得分:1)
我会用汤来选择你真正需要的文字,而不是过滤掉不需要的文字。如果此文本包含在<p>
标记中,则:
from bs4 import BeautifulSoup
from bs4 import SoupStrainer
only_p_tags = SoupStrainer("p")
soup = BeautifulSoup(open("C:/EDGAR/forms_to_process/10K/20160322_10-K_edgar_data_1522690_0001213900-16-011794_1.txt"), "html.parser", parse_only=only_p_tags)
for p in soup:
print p.get_text()
答案 1 :(得分:-1)
在审查SEC文件时,必须记住它由Header数据和一个或多个文件组成。这些文件可以有多种类型,如HTML,PDF,TXT,JPG,GIF,ZIP等。
因为文件类型JPG和GIF通常具有&#34;不可打印&#34;它们是uuencoded的字符,必须进行解码,以便将文件返回到&#34;本地&#34;正常使用状态。
通过示例归档,归档详细信息页面(https://www.sec.gov/Archives/edgar/data/1522690/000121390016011794/0001213900-16-011794-index.html)显示有8个HTML页面,两个图形(jpg),XML和XSD文件。如果你需要使用RAW&#34; Accession-Number.txt&#34;作为完整提交的文件,您必须解析单个文件并在此过程中执行uudecode。