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Trouble using Pandas read_html

My goal is to extract data, specifically the data corresponding to the most recent date (in this case 5/20), from an HTML table这里

Here is the corresponding HTML code:

<html>
<head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
<title>FW: NEFS 2 Available Quota 5/21</title>
<link rel="important stylesheet" href="">
<style>div.headerdisplayname {font-weight:bold;}</style></head>
<body>
<table border=0 cellspacing=0 cellpadding=0 width="100%" class="header-part1"><tr><td><b>Subject: </b>FW: NEFS 2 Available Quota 5/21</td></tr><tr><td><b>From: </b>Claire Fitz-Gerald <claire@capecodfishermen.org></td></tr><tr><td><b>Date: </b>5/21/2014 10:08 AM</td></tr></table><br>
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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='color:#1F497D'>Please see the below quota listings.<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p>&nbsp;</o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>Thanks,<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p>&nbsp;</o:p></span></p><div><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Franklin Gothic Book","sans-serif";color:#1F497D'>Claire Fitz-Gerald<o:p></o:p></span></p><p class=MsoNormal><i><span style='font-size:10.0pt;font-family:"Franklin Gothic Book","sans-serif";color:#1F497D'><o:p>&nbsp;</o:p></span></i></p><p class=MsoNormal><b><span style='font-family:"Franklin Gothic Demi","sans-serif";color:#002776'>Cape Cod Commercial Fishermen's Alliance<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='font-family:"Franklin Gothic Book","sans-serif";color:#DE3500'>~ Small Boats.&nbsp; Big Ideas. ~</span></b><b><span style='color:#DE3500'><o:p></o:p></span></b></p></div><p class=MsoNormal><span style='color:#1F497D'><o:p>&nbsp;</o:p></span></p><div><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> David Leveille [mailto:nefs02@gmail.com] <br><b>Sent:</b> Wednesday, May 21, 2014 8:50 AM<br><b>To:</b> David Leveille<br><b>Subject:</b> NEFS 2 Available Quota 5/21<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p>&nbsp;</o:p></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Arial","sans-serif";color:#1F487E'>AVAILABLE QUOTA FY 2014</span><span style='font-size:12.0pt;font-family:"Times New Roman","serif"'><o:p></o:p></span></p><table class=MsoNormalTable border=0 cellspacing=0 cellpadding=0 width="71%" style='width:71.28%'><tr><td width=220 style='width:164.95pt;border:none;border-bottom:solid windowtext 1.0pt;background:#8BCDFF;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><b><span style='font-size:9.0pt;font-family:"Arial","sans-serif";color:black'>ID <o:p></o:p></span></b></p></td><td width=161 style='width:120.75pt;border:none;border-bottom:solid windowtext 1.0pt;background:#8BCDFF;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='mso-line-height-alt:15.0pt'><b><span style='font-size:18.0pt;font-family:"Arial","sans-serif";color:black'>Available Quota <o:p></o:p></span></b></p></td><td width=189 style='width:141.75pt;border:none;border-bottom:solid windowtext 1.0pt;background:#8BCDFF;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='mso-line-height-alt:15.0pt'><b><span style='font-size:18.0pt;font-family:"Arial","sans-serif";color:black'>Live Weight Pounds <o:p></o:p></span></b></p></td><td width=126 style='width:94.55pt;border:none;border-bottom:solid windowtext 1.0pt;background:#8BCDFF;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='mso-line-height-alt:15.0pt'><b><span style='font-size:18.0pt;font-family:"Arial","sans-serif";color:black'>Price <o:p></o:p></span></b></p></td><td width=168 style='width:125.95pt;border:none;border-bottom:solid windowtext 1.0pt;background:#8BCDFF;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='mso-line-height-alt:15.0pt'><b><span style='font-size:18.0pt;font-family:"Arial","sans-serif";color:black'>Date Posted <o:p></o:p></span></b></p></td></tr><tr><td width=220 style='width:164.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>1724<o:p></o:p></span></p></td><td width=161 style='width:120.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>GOM COD<br>GOM HADD<br>GOM BB<br>GREYSOLE<br>DABS<br>GOM YT<o:p></o:p></span></p></td><td width=189 style='width:141.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>2328<br>445<br>3007<br>850<br>3101<br>1995<o:p></o:p></span></p></td><td width=126 style='width:94.55pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>Package<o:p></o:p></span></p><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'><o:p>&nbsp;</o:p></span></p><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>$9,000<o:p></o:p></span></p></td><td width=168 style='width:125.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>5/20<o:p></o:p></span></p></td></tr><tr><td width=220 style='width:164.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>1578<o:p></o:p></span></p></td><td width=161 style='width:120.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>GBE COD<br>GBW COD<br>GB BB<br>GB YT<br>SNE BB<br>SNE YT<br>GOM BB<br>Whake<br>POLL<br>RED<o:p></o:p></span></p></td><td width=189 style='width:141.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>538<br>5894<br>1755<br>243<br>490<br>153<br>3965<br>2727<br>9227<br>15060<o:p></o:p></span></p></td><td width=126 style='width:94.55pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>$1.00<br>$0.40<br>$0.20<br>$1.00<br>$0.45<br>$0.50<br>$0.15<br>$0.20<br>$0.01<br>$0.01<o:p></o:p></span></p></td><td width=168 style='width:125.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>5/20<o:p></o:p></span></p></td></tr><tr><td width=220 style='width:164.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>310<o:p></o:p></span></p></td><td width=161 style='width:120.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>GBE COD<br>GBW COD<br>DABS<br>WHAKE<br>POLL<br>RED<br>SNE BB<br>GOM BB<o:p></o:p></span></p></td><td width=189 style='width:141.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>825<br>9033<br>1241<br>3120<br>65234<br>76610<br>1688<br>1195<br>2121<br>7285<o:p></o:p></span></p></td><td width=126 style='width:94.55pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>Package<o:p></o:p></span></p><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'><o:p>&nbsp;</o:p></span></p><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>$15,000<o:p></o:p></span></p></td><td width=168 style='width:125.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>5/20<o:p></o:p></span></p></td></tr><tr style='height:23.25pt'><td width=220 style='width:164.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt;height:23.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>347<o:p></o:p></span></p></td><td width=161 style='width:120.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt;height:23.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>SNE BB<o:p></o:p></span></p></td><td width=189 style='width:141.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt;height:23.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>8,000<o:p></o:p></span></p></td><td width=126 style='width:94.55pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt;height:23.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>$0.50<o:p></o:p></span></p></td><td width=168 style='width:125.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt;height:23.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>5/7<o:p></o:p></span></p></td></tr><tr><td width=220 style='width:164.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>1878A<o:p></o:p></span></p></td><td width=161 style='width:120.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>GOM COD<br>GOM HADD<br>SNE BB<br>GOM BB<br>GB BB<br>GREYSOLE<br>GOM YT<br>SNE YT<br>POLL<o:p></o:p></span></p></td><td width=189 style='width:141.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>6188<br>635<br>3916<br>7873<br>6762<br>3358<br>9776<br>271<br>186550<o:p></o:p></span></p></td><td width=126 style='width:94.55pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>$1.95<br>$1.35<br>$0.50<br>$0.50<br>$0.20<br>$1.40<br>$1.20<br>$0.50<br>$0.01<o:p></o:p></span></p></td><td width=168 style='width:125.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>5/12<o:p></o:p></span></p></td></tr><tr><td width=220 style='width:164.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>1878B<o:p></o:p></span></p></td><td width=161 style='width:120.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>GBE COD<br>GBW COD<br>GB YT<o:p></o:p></span></p></td><td width=189 style='width:141.75pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>1113<br>12186<br>850<o:p></o:p></span></p></td><td width=126 style='width:94.55pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>Package<br>$10,000<o:p></o:p></span></p></td><td width=168 style='width:125.95pt;border:solid windowtext 1.0pt;background:white;padding:2.25pt 2.25pt 2.25pt 2.25pt'><p class=MsoNormal style='line-height:15.0pt'><span style='font-size:13.5pt;font-family:"Arial","sans-serif";color:black'>5/12<o:p></o:p></span></p></td></tr></table><p class=MsoNormal><o:p>&nbsp;</o:p></p><p class=MsoNormal><o:p>&nbsp;</o:p></p><p class=MsoNormal>David Leveille<o:p></o:p></p><p class=MsoNormal>II Northeast Fishery Sector Inc.<o:p></o:p></p><p class=MsoNormal>10 Witham Street<o:p></o:p></p><p class=MsoNormal>Gloucester, MA. 01930<o:p></o:p></p><p class=MsoNormal>Cell 978 375 3509<o:p></o:p></p><p class=MsoNormal>Fax 978 281 1555<o:p></o:p></p><p class=MsoNormal>Web <a href="http://nefs2.com/">http://nefs2.com/</a><o:p></o:p></p><p class=MsoNormal><o:p>&nbsp;</o:p></p><div class=MsoNormal align=center style='text-align:center'><span style='font-size:12.0pt;font-family:"Times New Roman","serif"'></body></html>
</body>
</html>

I tried using BeautifulSoup to access the data inside each cell. I would see 'if date 5/20 occurs below, capture all data corresponding to it'. That actually worked quite well but when I would go to put the data into a Pandas DataFrame it would fail. After many failed attempts I was told using Pandas read_html would be a wiser choice for this task.

So far my code is:

from bs4 import BeautifulSoup
import pandas as pd
import lxml
import html5lib

path = 'Z:\\blub'

df = pd.pandas.read_html(path)
print (df)

But when I run it the line df = pd.pandas.read_html(path) produces the error ValueError: No tables found .

Does that mean that the read_html command does not recognize the data table? Is using read_html the wisest approach for parsing this data table neatly? I say neatly because the final step after parsing is to export it all to an Oracle Database.

I would appreciate any and all advice solving this problem. Thanks.

First you can read the data from the file and then parse it using

from bs4 import BeautifulSoup
import pandas as pd
import lxml
import html5lib

path = 'file.html'
with open(path, 'rt') as myfile:
    data = myfile.read().replace("<br>", '\n')


df = pd.read_html(data)

This will give you a list of dataframes. At df[1] you will get the dataframe you want

df[1]

在此输入图像描述

As this is not a reliable way to parse data from an html I would advice you to go by parsing and creating your data frame using Beautiful Soup.

from bs4 import BeautifulSoup
path = 'file.html'
ecj_data = open(path,'r').read()

soup = BeautifulSoup(ecj_data)


tabulka = soup.find("table", {"class" : "MsoNormalTable"})

column_headers = ['ID','Available Quota', 'Live Weight Pounds', 'Price', 'Date Posted']
records = []
for idy, row in enumerate(tabulka.findAll('tr')):
    if idy == 0:
        continue
    cols = row.findAll('td')
    record = {}
    for idx, col in enumerate(cols):
        record[column_headers[idx]] = col.text.strip()
    records.append(record)

df = pd.DataFrame.from_dict(records)

df[column_headers]

output will look like this:

在此输入图像描述

I think your error lies in the quotes of 'path' argument in read_html() method. Make sure you remove them, otherwise you are calling it with the string 'path' instead of the variable path, which contains your actual path.

path = r'Z:\\blub'

if os.path.isfile(path):
    df = pd.pandas.read_html(path)
    print (df)

Beware that if you try pd.read_html with a non existent file, it will return the no tables found message. It is a very misleading error message, so it is better to always verify if you file exists.

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